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How can i get ventolin

How can i get ventolin

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How can i get ventolin

How can i get ventolin

How can i get ventolin

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Can you get ventolin over the counter nz

New survey insights released to mark Digital Health Week 2020November 16, 2020 (Toronto) — Canadians and health care providers can you get ventolin over the counter nz have met the unprecedented challenge of the asthma treatment ventolin head-on by embracing change in the way health care is delivered — from in-person to virtual. This week is Digital Health Week and to mark the occasion Canada Health Infoway (Infoway) is sharing research conducted in partnership with Environics that digs can you get ventolin over the counter nz into this substantial shift and what Canadians want for their digital health future. This latest research project, A Healthy Dialogue, is one of the largest public consultations about digital health ever conducted in Canada.

The consultation reached more than 58,000 Canadians — including those underserved by the health system — who shared how they thought technology would impact their care experience.The research reveals[i]:An overwhelming majority (92%) of Canadians want technology that makes health care as convenient as other aspects of their lives.More can you get ventolin over the counter nz than half (53%) of Canadians who have used health technology in the past year say it helped them avoid an in-person visit to a provider or an emergency room.Of those Canadians who received virtual care during the ventolin, 91% were satisfied with the experience, 86% agreed that virtual care tools can be important alternatives to seeing doctors in-person, and more than three-quarters (76%) are willing to use virtual care after the ventolin.“We’ve gone from talking about ways to further integrate digital health into everyday health care to living it. The events of the can you get ventolin over the counter nz past year have accelerated our digital health progress significantly and have proven to Canadians just how important and helpful digital health can be,” says Michael Green, President and CEO of Infoway. €œDigital Health Week is an important time to celebrate our progress and acknowledge the hard work of all those who have made it possible.”While technology can help reduce barriers and improve access to health care, the research also found that nearly six in 10 Canadians feel they don’t know enough about digital health apps and services.

As Canada’s digital health agency, Infoway is committed to working with its partners to address these gaps through activities like Digital Health Week.About Infoway’s can you get ventolin over the counter nz Commitment to ResearchA Healthy Dialogue is part of Infoway’s commitment to contributing to digital health research in Canada. To support health care organizations, clinicians, policy maker and patients, families and caregivers, Infoway conducts research into the value of digital health solutions as well as clinicians’ and Canadians’ attitudes and perceptions. To learn more about the results from A can you get ventolin over the counter nz Healthy Dialogue, please visit https://www.infoway-inforoute.ca/en/component/edocman/resources/reports/3850-a-healthy-dialogue-executive-summary.

To learn about Infoway’s other research initiatives, please visit can you get ventolin over the counter nz www.infoway-inforoute.ca/en/what-we-do/research-and-insights.About Digital Health Week — #ThinkDigitalHealthDigital Health Week was created to celebrate how digital health is transforming care across the country and to increase awareness about the value and benefits of digital health for all Canadians. Digital Health Week is supported by 60+ organizations. Join the conversation and share your can you get ventolin over the counter nz story.

#ThinkDigitalHealth.About Canada can you get ventolin over the counter nz Health InfowayInfoway helps to improve the health of Canadians by working with partners to accelerate the development, adoption and effective use of digital health across Canada. Through our investments, we help deliver better quality and access to care and more efficient delivery of health services for patients and clinicians. Infoway is an independent, not-for-profit organization funded by the federal government can you get ventolin over the counter nz.

Visit www.infoway-inforoute.ca.[i] A national survey of about 6,900 Canadians was conducted from December 2019-February 2020, pre-asthma treatment. A follow-up survey was conducted in June 2020 with about 2,200 of the original 6,900, to see if their views had shifted since the ventolin began.-30-Media InquiriesOctober 26, 2020 (Edmonton, Alberta) — Pharmacy Brands Canada is pleased to announce an exciting new partnership with Canada Health Infoway (Infoway) to can you get ventolin over the counter nz launch PrescribeIT®, Canada’s only national not-for-profit electronic prescribing service. This innovative e-prescribing can you get ventolin over the counter nz platform will soon be offered in our mettra Pharmacy, Value Drug Mart, Apple Drugs, Peoples Pharmacy and Rxellence independent community pharmacies across Western Canada.

PrescribeIT® enables physicians and other prescribers to send prescriptions and renewal requests electronically to a patient’s preferred pharmacy, resulting in more efficient patient care, enhanced safety, and greater accuracy when filling prescriptions.In partnership with Infoway and collaboration with provincial ministries, Pharmacy Brands Canada plans to roll out the PrescribeIT® service to independent pharmacy banner locations across Western Canada over the next 12 months."We are excited to partner with Infoway to introduce this e-prescription service to our independently owned community pharmacy banner members, their pharmacy teams, patients, allied health partners and communities," said Pauwlina Cyca, Director of Pharmacy Services, Pharmacy Brands Canada. "The PrescribeIT® platform completes the circle of care, and ensures continuity for each patient, every prescription and every pharmacy."“Infoway is excited about this new partnership with Pharmacy Brands Canada,” said can you get ventolin over the counter nz Jamie Bruce, Executive Vice President, Infoway. €œPrescribeIT® provides safer and more effective medication management and protects patients’ personal health information from being sold or used for commercial activities.

It’s an important step in helping Canadians experience better health outcomes.”PrescribeIT® is a free service offered by health care can you get ventolin over the counter nz prescribers and pharmacies. Patients who are interested in can you get ventolin over the counter nz using the service may wish to consult with their physician or prescriber.About Pharmacy Brands CanadaPharmacy Brands Canada offers a unique banner program to independent pharmacies across Western Canada. We provide a business model that offers tools, resources and support for pharmacy owners to operate successfully within a highly regulated and competitive environment.

Pharmacy Brands Canada supports the following banner can you get ventolin over the counter nz brands. Mettra Pharmacy, Value Drug Mart, Apple Drugs, can you get ventolin over the counter nz Rxellence and Peoples Pharmacy. Visit http://pharmacybrandscanada.com/.About Canada Health InfowayInfoway helps to improve the health of Canadians by working with partners to accelerate the development, adoption and effective use of digital health across Canada.

Through our investments, we help deliver better quality and access to care and more efficient delivery of health services for patients and clinicians can you get ventolin over the counter nz. Infoway is an independent, not-for-profit organization funded by the federal government. Visit www.infoway-inforoute.ca.About PrescribeIT®Canada Health Infoway can you get ventolin over the counter nz is working with Health Canada, the provinces and territories, and industry stakeholders to develop, operate and maintain the national e-prescribing service known as PrescribeIT®.

PrescribeIT® will serve all Canadians, pharmacies and prescribers and provide safer and more effective medication management by enabling prescribers to transmit a prescription electronically between can you get ventolin over the counter nz a prescriber’s electronic medical record (EMR) and the pharmacy management system (PMS) of a patient’s pharmacy of choice. PrescribeIT® will protect Canadians’ personal health information from being sold or used for commercial activities. Visit www.PrescribeIT.ca.-30-Media InquiriesInquiries about PrescribeIT® Tania EnsorSenior Director, Marketing, Stakeholder Relations and Reputation Management, PrescribeIT®Canada Health Infoway416.707.6285Email UsFollow @PrescribeIT_CAInquiries about can you get ventolin over the counter nz Pharmacy Brands CanadaSarah MacDonaldDirector, MarketingPharmacy Brands CanadaThis email address is being protected from spambots.

How can i get ventolin

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Many athletes have had their baseball season shortened or cancelled due to asthma treatment how can i get ventolin. This extra rest can be helpful in decreasing stress on the shoulder and elbow joints, but it can also lead to decreased strength and ROM. Overhead athletes need to keep their bodies strong, and a how can i get ventolin great way to achieve that is by performing a regular strengthening program. With many gyms remaining closed or limiting access during social distancing, that can be even more challenging.

However, there are many how can i get ventolin exercises that can be done at home with minimal equipment needs. A great program to focus on during the off season is the Thrower’s Ten program that was developed with the overhead athlete in mind. These exercises focus on the muscle groups that matter most for the overhead athlete. We use our entire body to throw a ball and the stress on the shoulder to decelerate the arm is about twice our how can i get ventolin body weight.

Most of this stress gets placed on the rotator cuff and scapular muscles that slow the arm down as we follow through with our throw. Weakness in these muscles can lead to problems with the shoulder and elbow joints how can i get ventolin. Common injuries can be Little League shoulder and elbow or strains to the ulnar collateral ligaments (Tommy John). If you have dealt with pain or injuries in the past, a comprehensive evaluation by a physical therapist (PT) who focuses on treating the overhead athlete can be extremely helpful in identifying areas of how can i get ventolin concern.

Your PT will evaluate your strength with a dynamometer to look at any significant abnormalities between shoulders. They can also perform a video throwing analysis to look at ways to potentially reduce injury risk and improve performance. This can almost how can i get ventolin always be achieved with only a couple of visits, and the off season is a great time to start addressing areas of concern to be ready for next season or throwing during the winter. Your PT can help you develop a customized home exercise program based on your needs.

Physical Therapist Kyle Stevenson, how can i get ventolin D.P.T., sees patients at MidMichigan’s Rehabilitation Services location in Greater Midland North-End Fitness Center. He has a special interest in sports medicine, and enjoys working with athletes of all ages. He has how can i get ventolin completed specialized coursework and training for the throwing athletes. New patients are welcome with a physician referral by calling (989) 832-5913.

Those who would like more information about MidMichigan’s Rehabilitation Services may visit www.midmichigan.org/rehabilitation..

Many athletes have had their can you get ventolin over the counter nz baseball season http://okelainc.com/?page_id=23 shortened or cancelled due to asthma treatment. This extra rest can be helpful in decreasing stress on the shoulder and elbow joints, but it can also lead to decreased strength and ROM. Overhead athletes can you get ventolin over the counter nz need to keep their bodies strong, and a great way to achieve that is by performing a regular strengthening program.

With many gyms remaining closed or limiting access during social distancing, that can be even more challenging. However, there are many exercises that can be done at home with can you get ventolin over the counter nz minimal equipment needs. A great program to focus on during the off season is the Thrower’s Ten program that was developed with the overhead athlete in mind.

These exercises focus on the muscle groups that matter most for the overhead athlete. We use our entire body to throw a can you get ventolin over the counter nz ball and the stress on the shoulder to decelerate the arm is about twice our body weight. Most of this stress gets placed on the rotator cuff and scapular muscles that slow the arm down as we follow through with our throw.

Weakness in these muscles can you get ventolin over the counter nz can lead to problems with the shoulder and elbow joints. Common injuries can be Little League shoulder and elbow or strains to the ulnar collateral ligaments (Tommy John). If you can you get ventolin over the counter nz have dealt with pain or injuries in the past, a comprehensive evaluation by a physical therapist (PT) who focuses on treating the overhead athlete can be extremely helpful in identifying areas of concern.

Your PT will evaluate your strength with a dynamometer to look at any significant abnormalities between shoulders. They can also perform a video throwing analysis to look at ways to potentially reduce injury risk and improve performance. This can almost always be achieved with only a couple of visits, and the off season is a great time to start addressing areas of can you get ventolin over the counter nz concern to be ready for next season or throwing during the winter.

Your PT can help you develop a customized home exercise program based on your needs. Physical Therapist Kyle Stevenson, D.P.T., can you get ventolin over the counter nz sees patients at MidMichigan’s Rehabilitation Services location in Greater Midland North-End Fitness Center. He has a special interest in sports medicine, and enjoys working with athletes of all ages.

He has completed specialized coursework and can you get ventolin over the counter nz training for the throwing athletes. New patients are welcome with a physician referral by calling (989) 832-5913. Those who would like more information about MidMichigan’s Rehabilitation Services may visit www.midmichigan.org/rehabilitation..

What may interact with Ventolin?

  • anti-infectives like chloroquine and pentamidine
  • caffeine
  • cisapride
  • diuretics
  • medicines for colds
  • medicines for depression or for emotional or psychotic conditions
  • medicines for weight loss including some herbal products
  • methadone
  • some antibiotics like clarithromycin, erythromycin, levofloxacin, and linezolid
  • some heart medicines
  • steroid hormones like dexamethasone, cortisone, hydrocortisone
  • theophylline
  • thyroid hormones

This list may not describe all possible interactions. Give your health care providers a list of all the medicines, herbs, non-prescription drugs, or dietary supplements you use. Also tell them if you smoke, drink alcohol, or use illegal drugs. Some items may interact with your medicine.

Ventolin generic brand

Over the past 20 years, a large body of research has documented a relationship between higher nurse-to-patient staffing ratios and better patient outcomes, including shorter hospital stays, lower rates of failure to prevent mortality after an in-hospital complication, inpatient mortality for browse around these guys multiple types of patients, hospital-acquired pneumonia, unplanned extubation, respiratory failure and cardiac arrest.1–5 In addition, patients report higher satisfaction when they are cared ventolin generic brand for in hospitals with higher staffing levels.6 7To date, most studies have not identified an ‘optimal’ nurse staffing ratio,8 which creates a challenge for determining appropriate staffing levels. If increasing nurse staffing always produces at least some improvement in the quality of care, how does one determine what staffing level is best?. This decision is ultimately an economic one, balancing the benefits of nurse staffing with the other options for which those resources could be ventolin generic brand used. It is in this context that hospitals develop staffing plans, generally based on historical patterns of patient acuity.Practical challenges of nurse staffingHospital staffing plans provide the structure necessary for determining hiring and scheduling, but fall short for a number of reasons. First, there are multiple ways in which patient acuity can be measured, which can have measurable ventolin generic brand effects on the staffing levels resulting from acuity models.9 Second, patient volume and acuity can shift rapidly with changes in the volume of admissions, discharges and transfers between units.

Third, staffing plans provide little guidance regarding the optimal mix of permanent staff, variable staff and externally contracted staff.The paper by Saville and colleagues10 in this issue of BMJ Quality &. Safety addresses the ventolin generic brand latter two issues by applying a simulation model to identify the optimal target for baseline nurse staffing in order to minimise periods of understaffing. Included in this model is consideration of the extent to which hospitals should leverage temporary personnel (typically obtained through an external agency) to fill gaps. The model acknowledges the likelihood that a hospital cannot realistically prevent all ventolin generic brand shifts from having a shortfall of nurses at all times, as well as the reality that hospital managers lack information about the best balance between permanent and temporary staff. In addition, the analysis includes a calculation of the costs of each staffing approach, drawing from the records of 81 inpatient wards in four hospital organisations.The application of sophisticated simulation models and other advanced analyticl approaches to analysis of nurse staffing has been limited to date, and this paper is an exemplar of the value of such research.

Recent studies have used machine learning methods to forecast hospital discharge volume,11 a discrete event simulation model to determine nursing staff needs in a neonatal intensive care unit,12 and a prediction model using machine learning and hierarchical linear regression to link variation in nurse staffing with patient outcomes.13 This new study applied a unique Monte Carlo simulation model to estimate demand for nursing care and test different strategies to meet demand.The ventolin generic brand results of the analysis are not surprising in that hospitals are much less likely to experience understaffed patient shifts if they aim to have higher baseline staffing. The data demonstrate a notable leftward skew, indicating that hospitals are more likely to have large unanticipated increases in patient volume and acuity than to have unanticipated decreases. This results in hospitals being more likely to have shifts that are understaffed than shifts that are overstaffed, which inevitably places pressure on hospitals to staff at a higher level and/or have access to a larger pool of temporary nurses ventolin generic brand. It also is not surprising that hospitals will need to spend more money per patient day if they aim to reduce the percent of shifts that are understaffed. What is surprising about the results is that hospitals do not necessarily achieve cost savings by relying on temporary personnel versus setting regular staffing at a higher level.Trade-offs between permanent and temporary staffThe temporary nursing workforce enables healthcare facilities to maintain flexible yet full care teams based on patient care needs.

Hospitals can use temporary nurses to address staffing gaps during leaves of absence, turnover or gaps between recruitment of permanent nurses, as well as during high-census periods ventolin generic brand. Temporary personnel are typically more expensive on an hourly basis than permanent staff. In addition, over-reliance on temporary staff can have detrimental effects on ventolin generic brand permanent nurses’ morale and motivation. Orientations prior to shifts are often limited, which leads to a twofold concern as temporary nurses feel ill-prepared for shifts and permanent staff feel flustered when required to bring the temporary nurse up to speed while being expected to continue normal operations.14 Agency nurses may be assigned to patients and units that are incongruent with their experience and skills—either to unfamiliar units, which affects their ability to confidently deliver care, or to less complex patients where they feel as if their skills are not used adequately.14 15 These issues can create tension between temporary and permanent nursing staff, which can be compounded by the wage disparity. Permanent staff might feel demoralised and expendable when working alongside temporary staff who are not integrated into the social fabric of the staff.16Hospital ventolin generic brand managers also must be cognisant of the potential quality impact of relying heavily on temporary nursing staff.

Research on the impact of contingent nursing employment on costs and quality have often found negative effects on quality, including mortality, and higher costs.17 18 However, other studies have found that the association between temporary nursing staff and low quality result from general shortages of nursing staff, which make a hospital more likely to employ temporary staff, and not directly from the contingent staff.19–21 Thus, temporary nurses play an important role in alleviating staffing shortages that would otherwise lead to lower quality of care.22Charting a path forward in hospital management and healthcare researchThe maturation of electronic health records and expansion of computerised healthcare management systems provide opportunities both for improved decision making about workforce deployment and for advanced workforce research. In the area of workforce management, nursing and other leaders have a growing array of workforce ventolin generic brand planning tools available to them. Such tools are most effective when they display clear information about predicted patient needs and staff availability, but managers still must rely on their on-the-ground understanding of their staff and their context of patient care.23 Integration of human resources data with patient outcomes data has revealed that individual nurses and their characteristics have important discrete effects on the quality of care.24 25 Future development of workforce planning tools should translate this evidence to practice. In addition, new technology platforms are emerging ventolin generic brand to facilitate direct matching between temporary healthcare personnel and healthcare organisations. One recent study tested a smartphone-based application that allowed for direct matching of locum tenens physicians with a hospital in the English National Health Service, finding that the platform generated benefits including greater transparency and lower cost.26 Similar technologies for registered nurses could facilitate better matching between hospital needs and temporary nurses’ preparedness to meet those needs.Analytical methods that fully leverage the large datasets compiled through electronic health records, human resources systems and other sources can be applied to advance research on the composition of nursing teams to improve quality of care.

As noted above, prior research has applied machine learning and discrete event simulation ventolin generic brand to analyses of healthcare staffing. Other recent studies have leveraged natural language processing of nursing notes to identify fall risk factors27 and applied data mining of human resources records to understand the job titles held by nurses.28 Linking these rapidly advancing analytical approaches that assess the outcomes and costs of nurse staffing strategies, such as the work by Saville and colleagues published in this issue, to data on the impact of nurse staffing on the long-term costs of patient care will further advance the capacity of hospital leaders to design cost-effective policies for workforce deployment.Guidelines aim to align clinical care with best practice. However, simply publishing a guideline rarely triggers behavioural changes to match guideline recommendations.1–3 We thus transform guideline recommendations into actionable tasks by introducing interventions that promote behavioural changes meant to produce guideline-concordant care. Unfortunately, not much has changed in ventolin generic brand the 25 years since Oxman and colleagues concluded that we have no ‘magic bullets’ when it comes to changing clinician behaviour.4 In fact, far from magic bullets, interventions aimed at increasing the degree to which patients receive care recommended in guidelines (eg, educational interventions, reminders, audit and feedback, financial incentives, computerised decision support) typically produce disappointingly small improvements in care.5–10Much improvement work aims to ‘make the right thing to do the easy thing to do.’ Yet, design solutions which hardwire the desired actions remain few and far between. Further, improvement interventions which ‘softwire’ such actions—not guaranteeing that they occur, but at least increasing the likelihood that clinicians will deliver the care recommended in guidelines—mostly produce small improvements.5–9 Until this situation changes, we need to acknowledge the persistent reality that guidelines themselves represent a main strategy for promoting care consistent with current evidence, which means their design should promote the desired actions.11 12In this respect, guidelines constitute a type of clinical decision support.

And, like all decision support interventions, guidelines ventolin generic brand require. (1) user testing to assess if the content is understood as intended and (2) empirical testing to assess if the decision support provided by the guideline does in fact promote the desired behaviours. While the processes for developing guidelines have received substantial ventolin generic brand attention over the years,13–18 surprisingly little attention has been paid to empirically answering basic questions about the finished product. Do users understand guidelines as intended?. And, what version of a given guideline engenders the desired behaviours ventolin generic brand by clinicians?.

In this issue of BMJ Quality and Safety, Jones et al19 address this gap by using simulation to compare the frequency of medication errors when clinicians administer an intravenous medication using an existing guideline in the UK’s National Health Service (NHS) versus a revised and user-tested version of the guideline that more clearly promotes the desired actions. Their findings demonstrate that changes to guideline design (through addition of actionable decision supports) based on ventolin generic brand user feedback does in fact trigger changes in behaviour that can improve safety. This is an exciting use of simulation, which we believe should encourage further studies in this vein.Ensuring end users understand and use guidelines as intendedJones and colleagues’ approach affords an opportunity to reflect on the benefits of user testing and simulation of guidelines. The design and evaluation ventolin generic brand of their revised guidelines provides an excellent example of a careful stepwise progression in the development and evaluation of a guideline as a type of decision support for clinicians. First, in a prior study,20 they user tested the original NHS guidelines to improve retrieval and comprehension of information.

The authors produced a revised guideline, which included reformatted sections as well as increased support for key calculations, such as for infusion rates. The authors ventolin generic brand again user tested the revised guideline, successfully showing higher rates of comprehension. Note that user testing refers to a specific approach focused on comprehension rather than behaviour21 and is distinct from usability testing. Second, in the current study, Jones et al evaluated whether nurse and midwife end users exhibited the desired behavioural changes when given the revised ventolin generic brand guidelines (with addition of actionable decision supports), compared with a control group working with the current version of the guidelines used in practice. As a result, Jones and colleagues verify that end users (1) understand the content in the guideline and (2) actually change their behaviour in response to using it.Simulation can play a particularly useful role in this context, as it can help identify problems with users’ comprehension of the guideline and also empirically assess what behavioural changes occur in response to design changes in the guidelines.

The level of methodological control and qualitative detail that simulation provides is difficult to feasibly replicate ventolin generic brand with real-world pilot studies, and therefore simulation fills a critical gap.Jones et al report successful changes in behaviour due to the revised guidelines in which they added actionable decision supports. For example, their earlier user testing found that participants using the initial guidelines did not account for displacement volume when reconstituting the powdered drug, leading to dosing errors. A second error with the initial guidelines involved participants using the shortest infusion rate provided (eg, guidelines ventolin generic brand state ‘1 to 3 hours’), without realising that the shortest rate is not appropriate for certain doses (eg, 1 hour is appropriate for smaller doses, but larger doses should not be infused over 1 hour because the drug would then be administered faster than the maximum allowable infusion rate of 3 mg/kg/hour). These two issues were addressed in the revised guidelines by providing key determinants for ‘action’ such as calculation formulas that account for displacement volume and infusion duration, thereby more carefully guiding end users to avoid these dose and rate errors. These changes to the guideline triggered specific behaviours (eg, calculations that account for all variables) that did not occur with ventolin generic brand the initial guidelines.

Therefore, the simulation testing demonstrated the value of providing determinants for action, such as specific calculation formulas to support end users, by showing a clear reduction in dose and rate errors when using the revised guidelines compared with the initial guidelines.The authors also report that other types of medication-specific errors remained unaffected by the revised guidelines (eg, incorrect technique and flush errors)—the changes made did not facilitate the desired actions. The initial guidelines indicate ‘DO NOT SHAKE’ in ventolin generic brand capital letters, and there is a section specific to ‘Flushing’. In contrast, the revised guidelines do not capitalise the warning about shaking the vial, but embed the warning with a numbered sequence in the medication preparation section, aiming to increase the likelihood of reading it at the appropriate time. The revised guidelines do not have a section specific to flushing, but embed the flushing instructions as an unnumbered step in the administration section. Thus, the value of embedding technique and flushing information within the context of use was not validated in the simulation testing (ie, no significant differences in the rates of these errors), highlighting precisely the pivotal role that simulation can play in assessing whether attempts to improve usability result in actual behavioural changes.Finally, simulation can identify potential unintended consequences of ventolin generic brand a guideline.

For instance, Jones and colleagues observed an increase in errors (although not statistically significant) that were not medication specific (eg, non-aseptic technique such as hand washing, swabbing vials with an alcohol wipe). Given that the revised guidelines were specific to the medication tested, it is unusual that we see a tendency toward a ventolin generic brand worsening effect on generic medication preparation skills. Again, this finding was not significant, but we highlight this to remind ourselves of the very real possibility that some interventions might introduce new and unexpected errors in response to changing workflow and practice6. Simulations offer an opportunity to spot these risks in advance.Now that Jones et al have seen how the revised guidelines change ventolin generic brand behaviour, they are optimally positioned to move forward. On one hand, they have the option of revising the guidelines further in attempts to address these resistant errors, and on the other, they can consider designing other interventions to be implemented in parallel with their user-tested guidance.

At first glance, the errors that were resistant ventolin generic brand to change appear to be mechanical tasks that end users might think of as applying uniformly to multiple medications (eg, flush errors, non-aseptic technique). Therefore, a second intervention that has a more general scope (rather than drug specific) might be pursued. Regardless of what they decide to pursue, we applaud their measured approach and highlight that the key takeaway is that their next steps are supported with clearer evidence of what to expect when the guidelines ventolin generic brand are released—certainly a helpful piece of information to guide decisions as to whether broad implementation of guidelines is justified.Caveats and conclusionSimulation is not a panacea—it is not able to assess longitudinal adherence, and there are limitations to how realistically clinicians behave when observed for a few sample procedures when under the scrutiny of observers. Further, studies where interventions are implemented to assess whether they move the needle on the outcomes we care about (eg, adverse events, length of stay, patient mortality) are needed and should continue. However, having end users physically perform clinical tasks with the intervention in representative environments represents an important strategy to assess ventolin generic brand the degree to which guidelines and other decision support interventions in fact promote the desired behaviours and to spot problems in advance of implementation.

Such simulation testing is not currently a routine step in intervention design. We hope it becomes a more common phenomenon, with more improvement work following the example of the approach so effectively demonstrated by Jones and colleagues..

Over the past 20 years, a large body of research has documented a relationship between higher nurse-to-patient staffing ratios and better patient outcomes, including shorter hospital stays, lower rates of failure to prevent mortality after an in-hospital complication, inpatient mortality for multiple types of patients, hospital-acquired pneumonia, unplanned extubation, respiratory failure and cardiac arrest.1–5 In addition, patients can you get ventolin over the counter nz report higher satisfaction when they are cared for in hospitals with higher staffing levels.6 7To date, most studies have not identified an ‘optimal’ nurse staffing ratio,8 which creates a challenge for determining appropriate staffing levels. If increasing nurse staffing always produces at least some improvement in the quality of care, how does one determine what staffing level is best?. This decision can you get ventolin over the counter nz is ultimately an economic one, balancing the benefits of nurse staffing with the other options for which those resources could be used. It is in this context that hospitals develop staffing plans, generally based on historical patterns of patient acuity.Practical challenges of nurse staffingHospital staffing plans provide the structure necessary for determining hiring and scheduling, but fall short for a number of reasons. First, there are multiple ways in which patient acuity can be measured, which can have measurable effects on the staffing levels resulting can you get ventolin over the counter nz from acuity models.9 Second, patient volume and acuity can shift rapidly with changes in the volume of admissions, discharges and transfers between units.

Third, staffing plans provide little guidance regarding the optimal mix of permanent staff, variable staff and externally contracted staff.The paper by Saville and colleagues10 in this issue of BMJ Quality &. Safety addresses the latter two issues by applying can you get ventolin over the counter nz a simulation model to identify the optimal target for baseline nurse staffing in order to minimise periods of understaffing. Included in this model is consideration of the extent to which hospitals should leverage temporary personnel (typically obtained through an external agency) to fill gaps. The model acknowledges the likelihood that a hospital cannot realistically prevent all shifts from having a shortfall of nurses at all times, as can you get ventolin over the counter nz well as the reality that hospital managers lack information about the best balance between permanent and temporary staff. In addition, the analysis includes a calculation of the costs of each staffing approach, drawing from the records of 81 inpatient wards in four hospital organisations.The application of sophisticated simulation models and other advanced analyticl approaches to analysis of nurse staffing has been limited to date, and this paper is an exemplar of the value of such research.

Recent studies have used machine learning methods to forecast hospital discharge can you get ventolin over the counter nz volume,11 a discrete event simulation model to determine nursing staff needs in a neonatal intensive care unit,12 and a prediction model using machine learning and hierarchical linear regression to link variation in nurse staffing with patient outcomes.13 This new study applied a unique Monte Carlo simulation model to estimate demand for nursing care and test different strategies to meet demand.The results of the analysis are not surprising in that hospitals are much less likely to experience understaffed patient shifts if they aim to have higher baseline staffing. The data demonstrate a notable leftward skew, indicating that hospitals are more likely to have large unanticipated increases in patient volume and acuity than to have unanticipated decreases. This results in hospitals being more likely to can you get ventolin over the counter nz have shifts that are understaffed than shifts that are overstaffed, which inevitably places pressure on hospitals to staff at a higher level and/or have access to a larger pool of temporary nurses. It also is not surprising that hospitals will need to spend more money per patient day if they aim to reduce the percent of shifts that are understaffed. What is surprising about the results is that hospitals do not necessarily achieve cost savings by relying on temporary personnel versus setting regular staffing at a higher level.Trade-offs between permanent and temporary staffThe temporary nursing workforce enables healthcare facilities to maintain flexible yet full care teams based on patient care needs.

Hospitals can use temporary nurses to address staffing gaps during leaves of absence, can you get ventolin over the counter nz turnover or gaps between recruitment of permanent nurses, as well as during high-census periods. Temporary personnel are typically more expensive on an hourly basis than permanent staff. In addition, over-reliance on temporary staff can have can you get ventolin over the counter nz detrimental effects on permanent nurses’ morale and motivation. Orientations prior to shifts are often limited, which leads to a twofold concern as temporary nurses feel ill-prepared for shifts and permanent staff feel flustered when required to bring the temporary nurse up to speed while being expected to continue normal operations.14 Agency nurses may be assigned to patients and units that are incongruent with their experience and skills—either to unfamiliar units, which affects their ability to confidently deliver care, or to less complex patients where they feel as if their skills are not used adequately.14 15 These issues can create tension between temporary and permanent nursing staff, which can be compounded by the wage disparity. Permanent staff might feel demoralised and expendable when working alongside temporary staff who are not integrated into the social fabric of the staff.16Hospital managers also can you get ventolin over the counter nz must be cognisant of the potential quality impact of relying heavily on temporary nursing staff.

Research on the impact of contingent nursing employment on costs and quality have often found negative effects on quality, including mortality, and higher costs.17 18 However, other studies have found that the association between temporary nursing staff and low quality result from general shortages of nursing staff, which make a hospital more likely to employ temporary staff, and not directly from the contingent staff.19–21 Thus, temporary nurses play an important role in alleviating staffing shortages that would otherwise lead to lower quality of care.22Charting a path forward in hospital management and healthcare researchThe maturation of electronic health records and expansion of computerised healthcare management systems provide opportunities both for improved decision making about workforce deployment and for advanced workforce research. In the area of workforce management, nursing and other leaders have a can you get ventolin over the counter nz growing array of workforce planning tools available to them. Such tools are most effective when they display clear information about predicted patient needs and staff availability, but managers still must rely on their on-the-ground understanding of their staff and their context of patient care.23 Integration of human resources data with patient outcomes data has revealed that individual nurses and their characteristics have important discrete effects on the quality of care.24 25 Future development of workforce planning tools should translate this evidence to practice. In addition, new technology platforms are emerging to facilitate direct matching between temporary healthcare can you get ventolin over the counter nz personnel and healthcare organisations. One recent study tested a smartphone-based application that allowed for direct matching of locum tenens physicians with a hospital in the English National Health Service, finding that the platform generated benefits including greater transparency and lower cost.26 Similar technologies for registered nurses could facilitate better matching between hospital needs and temporary nurses’ preparedness to meet those needs.Analytical methods that fully leverage the large datasets compiled through electronic health records, human resources systems and other sources can be applied to advance research on the composition of nursing teams to improve quality of care.

As noted above, prior research has applied machine learning and discrete event simulation to analyses of healthcare can you get ventolin over the counter nz staffing. Other recent studies have leveraged natural language processing of nursing notes to identify fall risk factors27 and applied data mining of human resources records to understand the job titles held by nurses.28 Linking these rapidly advancing analytical approaches that assess the outcomes and costs of nurse staffing strategies, such as the work by Saville and colleagues published in this issue, to data on the impact of nurse staffing on the long-term costs of patient care will further advance the capacity of hospital leaders to design cost-effective policies for workforce deployment.Guidelines aim to align clinical care with best practice. However, simply publishing a guideline rarely triggers behavioural changes to match guideline recommendations.1–3 We thus transform guideline recommendations into actionable tasks by introducing interventions that promote behavioural changes meant to produce guideline-concordant care. Unfortunately, not much has changed in the 25 years since Oxman and colleagues concluded that we have no ‘magic bullets’ when it comes to changing clinician behaviour.4 In fact, far from magic bullets, interventions aimed at increasing the degree to which patients receive care recommended in guidelines (eg, educational interventions, reminders, audit and feedback, financial can you get ventolin over the counter nz incentives, computerised decision support) typically produce disappointingly small improvements in care.5–10Much improvement work aims to ‘make the right thing to do the easy thing to do.’ Yet, design solutions which hardwire the desired actions remain few and far between. Further, improvement interventions which ‘softwire’ such actions—not guaranteeing that they occur, but at least increasing the likelihood that clinicians will deliver the care recommended in guidelines—mostly produce small improvements.5–9 Until this situation changes, we need to acknowledge the persistent reality that guidelines themselves represent a main strategy for promoting care consistent with current evidence, which means their design should promote the desired actions.11 12In this respect, guidelines constitute a type of clinical decision support.

And, like can you get ventolin over the counter nz all decision support interventions, guidelines require. (1) user testing to assess if the content is understood as intended and (2) empirical testing to assess if the decision support provided by the guideline does in fact promote the desired behaviours. While the processes for developing guidelines have received substantial attention can you get ventolin over the counter nz over the years,13–18 surprisingly little attention has been paid to empirically answering basic questions about the finished product. Do users understand guidelines as intended?. And, can you get ventolin over the counter nz what version of a given guideline engenders the desired behaviours by clinicians?.

In this issue of BMJ Quality and Safety, Jones et al19 address this gap by using simulation to compare the frequency of medication errors when clinicians administer an intravenous medication using an existing guideline in the UK’s National Health Service (NHS) versus a revised and user-tested version of the guideline that more clearly promotes the desired actions. Their findings demonstrate that changes to guideline design (through addition of actionable decision supports) based on user feedback does in fact trigger changes in behaviour that can you get ventolin over the counter nz can improve safety. This is an exciting use of simulation, which we believe should encourage further studies in this vein.Ensuring end users understand and use guidelines as intendedJones and colleagues’ approach affords an opportunity to reflect on the benefits of user testing and simulation of guidelines. The design and evaluation of their revised guidelines provides an excellent example of a careful stepwise progression in the development and evaluation of a guideline as a type of decision support for clinicians can you get ventolin over the counter nz. First, in a prior study,20 they user tested the original NHS guidelines to improve retrieval and comprehension of information.

The authors produced a revised guideline, which included reformatted sections as well as increased support for key calculations, such as for infusion rates. The authors again user tested the revised can you get ventolin over the counter nz guideline, successfully showing higher rates of comprehension. Note that user testing refers to a specific approach focused on comprehension rather than behaviour21 and is distinct from usability testing. Second, in can you get ventolin over the counter nz the current study, Jones et al evaluated whether nurse and midwife end users exhibited the desired behavioural changes when given the revised guidelines (with addition of actionable decision supports), compared with a control group working with the current version of the guidelines used in practice. As a result, Jones and colleagues verify that end users (1) understand the content in the guideline and (2) actually change their behaviour in response to using it.Simulation can play a particularly useful role in this context, as it can help identify problems with users’ comprehension of the guideline and also empirically assess what behavioural changes occur in response to design changes in the guidelines.

The level of methodological control and qualitative detail that simulation provides is difficult to feasibly replicate with real-world pilot studies, and therefore simulation fills a critical gap.Jones et can you get ventolin over the counter nz al report successful changes in behaviour due to the revised guidelines in which they added actionable decision supports. For example, their earlier user testing found that participants using the initial guidelines did not account for displacement volume when reconstituting the powdered drug, leading to dosing errors. A second error with the initial guidelines involved participants using the shortest infusion rate provided (eg, guidelines state ‘1 to 3 hours’), without realising that the shortest rate is not appropriate for certain doses (eg, 1 hour is appropriate for can you get ventolin over the counter nz smaller doses, but larger doses should not be infused over 1 hour because the drug would then be administered faster than the maximum allowable infusion rate of 3 mg/kg/hour). These two issues were addressed in the revised guidelines by providing key determinants for ‘action’ such as calculation formulas that account for displacement volume and infusion duration, thereby more carefully guiding end users to avoid these dose and rate errors. These changes to the guideline triggered specific behaviours (eg, calculations that account for all variables) that did not occur with the can you get ventolin over the counter nz initial guidelines.

Therefore, the simulation testing demonstrated the value of providing determinants for action, such as specific calculation formulas to support end users, by showing a clear reduction in dose and rate errors when using the revised guidelines compared with the initial guidelines.The authors also report that other types of medication-specific errors remained unaffected by the revised guidelines (eg, incorrect technique and flush errors)—the changes made did not facilitate the desired actions. The initial guidelines indicate ‘DO NOT SHAKE’ in can you get ventolin over the counter nz capital letters, and there is a section specific to ‘Flushing’. In contrast, the revised guidelines do not capitalise the warning about shaking the vial, but embed the warning with a numbered sequence in the medication preparation section, aiming to increase the likelihood of reading it at the appropriate time. The revised guidelines do not have a section specific to flushing, but embed the flushing instructions as an unnumbered step in the administration section. Thus, the value of can you get ventolin over the counter nz embedding technique and flushing information within the context of use was not validated in the simulation testing (ie, no significant differences in the rates of these errors), highlighting precisely the pivotal role that simulation can play in assessing whether attempts to improve usability result in actual behavioural changes.Finally, simulation can identify potential unintended consequences of a guideline.

For instance, Jones and colleagues observed an increase in errors (although not statistically significant) that were not medication specific (eg, non-aseptic technique such as hand washing, swabbing vials with an alcohol wipe). Given that the revised guidelines were can you get ventolin over the counter nz specific to the medication tested, it is unusual that we see a tendency toward a worsening effect on generic medication preparation skills. Again, this finding was not significant, but we highlight this to remind ourselves of the very real possibility that some interventions might introduce new and unexpected errors in response to changing workflow and practice6. Simulations offer an opportunity to spot these risks in advance.Now that Jones et al have can you get ventolin over the counter nz seen how the revised guidelines change behaviour, they are optimally positioned to move forward. On one hand, they have the option of revising the guidelines further in attempts to address these resistant errors, and on the other, they can consider designing other interventions to be implemented in parallel with their user-tested guidance.

At first glance, the errors that were resistant to change appear can you get ventolin over the counter nz to be mechanical tasks that end users might think of as applying uniformly to multiple medications (eg, flush errors, non-aseptic technique). Therefore, a second intervention that has a more general scope (rather than drug specific) might be pursued. Regardless of what they decide to pursue, we applaud their measured approach and highlight that the key takeaway is that their next steps are supported with clearer evidence of what to expect when the guidelines are released—certainly a helpful piece of information to guide decisions as to whether broad implementation of guidelines is justified.Caveats and conclusionSimulation is not a panacea—it is not able to assess longitudinal adherence, and there can you get ventolin over the counter nz are limitations to how realistically clinicians behave when observed for a few sample procedures when under the scrutiny of observers. Further, studies where interventions are implemented to assess whether they move the needle on the outcomes we care about (eg, adverse events, length of stay, patient mortality) are needed and should continue. However, having end users physically perform clinical tasks with the intervention in representative environments represents an important strategy to assess the degree to which guidelines and other decision support interventions in fact promote the can you get ventolin over the counter nz desired behaviours and to spot problems in advance of implementation.

Such simulation testing is not currently a routine step in intervention design. We hope it becomes a more common phenomenon, with more improvement work following the example of the approach so effectively demonstrated by Jones and colleagues..

Ventolin tablet

SAMHSA publishes guidelines, toolkit to ventolin tablet strengthen crisis care in America's communities | SAMHSA Skip to main contentStart Preamble Centers for Medicare &. Medicaid Services (CMS), Health and Human ventolin tablet Services (HHS). Final rule ventolin tablet.

Correction. This document corrects technical ventolin tablet and typographical errors in the final rule that appeared in the September 18, 2020 issue of the Federal Register titled “Medicare Program. Hospital Inpatient Prospective Payment ventolin tablet Systems for Acute Care Hospitals and the Long-Term Care Hospital Prospective Payment System and Final Policy Changes and Fiscal Year 2021 Rates.

Quality Reporting and Medicare ventolin tablet and Medicaid Promoting Interoperability Programs Requirements for Eligible Hospitals and Critical Access Hospitals”. Effective Date. This correcting document is effective on December 1, ventolin tablet 2020.

Applicability ventolin tablet Date. The corrections ventolin tablet in this correcting document are applicable to discharges occurring on or after October 1, 2020. Start Further Info Donald Thompson and Michele Hudson, (410) 786-4487.

End Further Info ventolin tablet End Preamble Start Supplemental Information I. Background In FR ventolin tablet Doc. 2020-19637 of September 18, 2020 (85 FR 58432) there were a number of ventolin tablet technical and typographical errors that are identified and corrected in the Correction of Errors section of this correcting document.

The corrections in this correcting document are applicable to discharges occurring on or after October 1, 2020, as if they had been included in the document that appeared in the September 18, 2020 Federal Register. II. Summary of Errors A.

Summary of Errors in the Preamble On the following pages. 58435 through 58436, 58448, 58451, 58453, 58459, 58464, 58471, 58479, 58487, 58495, 58506, 58509, 58520, 58529, 58531 through 58532, 58537, 58540 through 58541, 58553 through 58556, 58559 through 58560, 58580 through 58583, 58585 through 58588, 58596, 58599, 58603 through 58604, 58606 through 58607, 58610, 58719, 58734, 58736 through 58737, 58739, 58741, 58842, 58876, 58893, and 58898 through 58900, we are correcting inadvertent typographical errors in the internal section references. On page 58596, we are correcting an inadvertent typographical error in the date of the MedPAR data used for developing the Medicare Severity Diagnosis-Related Group (MS-DRG) relative weights.

On pages 58716 and 58717, we are correcting inadvertent errors in the ICD-10-PCS procedure codes describing the BAROSTIM NEO® System technology. On pages 58721 and 58723, we are correcting inadvertent errors in the ICD-10-PCS procedure codes describing the Cefiderocol technology. On page 58768, due to a conforming change to the Rural Floor Budget Neutrality adjustment (listed in the table titled “Summary of FY 2021 Budget Neutrality Factors” on page 59034) as discussed in section II.B.

Of this correcting document and the conforming changes to the Out-Migration Adjustment discussed in section II. D of this correcting document (with regard to Table 4A), we are correcting the 25th percentile wage index value across all hospitals. On page 59006, in the discussion of Medicare bad debt policy, we are correcting inadvertent errors in the regulatory citations and descriptions.

B. Summary of Errors in the Addendum On pages 59031 and 59037, we are correcting inadvertent typographical errors in the internal section references. We are correcting an error in the version 38 ICD-10 MS-DRG assignment for some cases in the historical claims data in the FY 2019 MedPAR files used in the ratesetting for the FY 2021 IPPS/LTCH PPS final rule, which resulted in inadvertent errors in the MS-DRG relative weights (and associated average length-of-stay (LOS)).

Additionally, the version 38 MS-DRG assignment and relative weights are used when determining total payments for purposes of all of the budget neutrality factors and the final outlier threshold. As a result, the corrections to the MS-DRG assignment under the ICD-10 MS-DRG GROUPER version 38 for some cases in the historical claims data in the FY 2019 MedPAR files and the recalculation of the relative weights directly affected the calculation of total payments and required the recalculation of all the budget neutrality factors and the final outlier threshold. In addition, as discussed in section II.D.

Of this correcting document, we made updates to the calculation of Factor 3 of the uncompensated care payment methodology to reflect updated information on hospital mergers received in response to the final rule. Factor 3 determines the total amount of the uncompensated care payment a hospital is eligible to receive for a fiscal year. This hospital-specific payment amount is then used to calculate the amount of the interim uncompensated care payments a hospital receives per discharge.

Per discharge uncompensated care payments are included when determining total payments for purposes of all of the budget neutrality factors and the final outlier threshold. As a result, the revisions made to the calculation of Factor 3 to address additional merger information directly affected the calculation of total payments and required the recalculation of all the budget neutrality factors and the final outlier threshold. We made an inadvertent error in the Medicare Geographic Classification Review Board (MGCRB) reclassification status of one hospital in the FY 2021 IPPS/LTCH PPS final rule.

Specifically, CCN 050481 is incorrectly listed in Table 2 as reclassified to its geographic “home” of CBSA 31084. The correct reclassification area is to CBSA 37100. This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100 and affected the final FY 2021 wage index with reclassification.

The final FY 2021 IPPS wage index with reclassification is used when determining total payments for purposes of all budget neutrality factors (except for the MS-DRG reclassification and recalibration budget neutrality factor and the wage index budget neutrality adjustment factor) and the final outlier threshold. Due to the correction of the combination of errors listed previously (corrections to the MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and average length of stay, revisions to Factor 3 of the uncompensated care payment methodology, and the correction to the MGCRB reclassification status of one hospital), we recalculated all IPPS budget neutrality adjustment factors, the fixed-loss cost threshold, the final wage indexes (and geographic adjustment factors (GAFs)), the national operating standardized amounts and capital Federal rate. Therefore, we made conforming changes to the following.

On page 59034, the table titled “Summary of FY 2021 Budget Neutrality Factors”. On page 59037, the estimated total Federal capital payments and the estimated capital outlier payments. On page 59040, the calculation of the outlier fixed-loss cost threshold, total operating Federal payments, total operating outlier payments, the outlier adjustment to the capital Federal rate and the related discussion of the percentage estimates of operating and capital outlier payments.

On page 59042, the table titled “Changes from FY 2020 Standardized Amounts to the FY 2021 Standardized Amounts”. On page 59039, we are correcting a typographical error in the total cases from October 1, 2018 through September 31, 2019 used to calculate the average covered charge per case, which is then used to calculate the charge inflation factor. On pages 59047 through 59048, in our discussion of the determination of the Federal hospital inpatient capital-related prospective payment rate update, due to the recalculation of the GAFs as well as corrections to the MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and average length of stay, we have made conforming corrections to the capital Federal rate, the incremental budget neutrality adjustment factor for changes in the GAFs, and the outlier threshold (as discussed previously).

As a result of these changes, we also made conforming corrections in the table showing the comparison of factors and adjustments for the FY 2020 capital Federal rate and FY 2021 capital Federal rate. As we noted in the final rule, the capital Federal rate is calculated using unrounded budget neutrality and outlier Start Printed Page 78750adjustment factors. The unrounded GAF/DRG budget neutrality factors and the unrounded outlier adjustment to the capital Federal rate were revised because of these errors.

However, after rounding these factors to 4 decimal places as displayed in the final rule, the rounded factors were unchanged from the final rule. On page 59057, we are making conforming changes to the fixed-loss amount for FY 2021 site neutral payment rate discharges, and the high cost outlier (HCO) threshold (based on the corrections to the IPPS fixed-loss amount discussed previously). On pages 59060 and 59061, we are making conforming corrections to the national adjusted operating standardized amounts and capital standard Federal payment rate (which also include the rates payable to hospitals located in Puerto Rico) in Tables 1A, 1B, 1C, and 1D as a result of the conforming corrections to certain budget neutrality factors and the outlier threshold previously described.

C. Summary of Errors in the Appendices On pages 59062, 59070, 59074 through 59076, and 59085 we are correcting inadvertent typographical errors in the internal section references. On pages 59064 through 59071, 59073 and 59074, and 59092 and 59093, in our regulatory impact analyses, we have made conforming corrections to the factors, values, and tables and accompanying discussion of the changes in operating and capital IPPS payments for FY 2021 and the effects of certain IPPS budget neutrality factors as a result of the technical errors that lead to changes in our calculation of the operating and capital IPPS budget neutrality factors, outlier threshold, final wage indexes, operating standardized amounts, and capital Federal rate (as described in section II.B.

Of this correcting document). These conforming corrections include changes to the following tables. On pages 59065 through 59069, the table titled “Table I—Impact Analysis of Changes to the IPPS for Operating Costs for FY 2021”.

On pages 59073 and 59074, the table titled “Table II—Impact Analysis of Changes for FY 2021 Acute Care Hospital Operating Prospective Payment System (Payments per discharge)”. On pages 59092 and 59093, the table titled “Table III—Comparison of Total Payments per Case [FY 2020 Payments Compared to Final FY 2021 payments]”. On pages 59076 through 59079, we are correcting the discussion of the “Effects of the Changes to Uncompensated Care Payments for FY 2021” for purposes of the Regulatory Impact Analysis in Appendix A of the FY 2021 IPPS/LTCH PPS final rule, including the table titled “Modeled Uncompensated Care Payments for Estimated FY 2021 DSHs by Hospital Type.

Uncompensated Care Payments ($ in Millions)*—from FY 2020 to FY 2021” on pages 59077 and 59078, in light of the corrections discussed in section II.D. Of this correcting document. D.

Summary of Errors in and Corrections to Files and Tables Posted on the CMS Website We are correcting the errors in the following IPPS tables that are listed on pages 59059 and 59060 of the FY 2021 IPPS/LTCH PPS final rule and are available on the internet on the CMS website at https://www.cms.gov/​Medicare/​Medicare-Fee-for-Service-Payment/​AcuteInpatientPPS/​index.html. The tables that are available on the internet have been updated to reflect the revisions discussed in this correcting document. Table 2—Case-Mix Index and Wage Index Table by CCN-FY 2021 Final Rule.

As discussed in section II.B. Of this correcting document, CCN 050481 is incorrectly listed as reclassified to its home geographic area of CBSA 31084. In this table, we are correcting the columns titled “Wage Index Payment CBSA” and “MGCRB Reclass” to accurately reflect its reclassification to CBSA 37100.

This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100. Also, the corrections to the version 38 MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and ALOS, corrections to Factor 3 of the uncompensated care payment methodology, and recalculation of all of the budget neutrality adjustments (as discussed in section II.B. Of this correcting document) necessitated the recalculation of the rural floor budget neutrality factor which is the only budget neutrality factor applied to the FY 2021 wage indexes.

Because the rural floor budget neutrality factor is applied to the FY 2021 wage indexes, we are making corresponding changes to the wage indexes listed in Table 2. In addition, as also discussed later in this section, because the wage indexes are one of the inputs used to determine the out-migration adjustment, some of the out migration adjustments changed. Therefore, we are making corresponding changes to some of the out-migration adjustments listed in Table 2.

Also, as discussed in section II.A of this correcting document, we made a conforming change to the 25th percentile wage index value across all hospitals. Accordingly, we are making corresponding changes to the values for hospitals in the columns titled “FY 2021 Wage Index Prior to Quartile and Transition”, “FY 2021 Wage Index With Quartile”, “FY 2021 Wage Index With Quartile and Cap” and “Out-Migration Adjustment”. We also updated footnote number 6 to reflect the conforming change to the 25th percentile wage index value across all hospitals.

Table 3.—Wage Index Table by CBSA—FY 2021 Final Rule. As discussed in section II.B. Of this correcting document, CCN 050481 is incorrectly listed in Table 2 as reclassified to its home geographic area of CBSA 31084 instead of reclassified to CBSA 37100.

This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100. Also, corrections to the version 38 MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and ALOS, corrections to Factor 3 of the uncompensated care payment methodology, and the recalculation of all of the budget neutrality adjustments (as discussed in section II.B. Of this correcting document) necessitated the recalculation of the rural floor budget neutrality factor which is the only budget neutrality factor applied to the FY 2021 wage indexes.

Because the rural floor budget neutrality factor is applied to the FY 2021 wage indexes, we are making corresponding changes to the wage indexes and GAFs of all CBSAs listed in Table 3. Specifically, we are correcting the values and flags in the columns titled “Wage Index”, “GAF”, “Reclassified Wage Index”, “Reclassified GAF”, “State Rural Floor”, “Eligible for Rural Floor Wage Index”, “Pre-Frontier and/or Pre-Rural Floor Wage Index”, “Reclassified Wage Index Eligible for Frontier Wage Index”, “Reclassified Wage Index Eligible for Rural Floor Wage Index”, and “Reclassified Wage Index Pre-Frontier and/or Pre-Rural Floor”. Table 4A.— List of Counties Eligible for the Out-Migration Adjustment under Section 1886(d)(13) of the Act—FY 2021 Final Rule.

As discussed in section II.B. Of this correcting document, CCN 050481 is incorrectly listed in Table 2 as reclassified to its home geographic area of CBSA 31084 instead of reclassified to CBSA 37100. This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100.

Also, corrections to the version 38 MS-DRG assignment for some cases Start Printed Page 78751in the historical claims data and the resulting recalculation of the relative weights and ALOS, corrections to Factor 3 of the uncompensated care payment methodology, and the recalculation of all of the budget neutrality adjustments (as discussed in section II.B. Of this correcting document) necessitated the recalculation of the rural floor budget neutrality factor which is the only budget neutrality factor applied to the FY 2021 wage indexes. As a result, as discussed previously, we are making corresponding changes to the FY 2021 wage indexes.

Because the wage indexes are one of the inputs used to determine the out-migration adjustment, some of the out migration adjustments changed. Therefore, we are making corresponding changes to some of the out-migration adjustments listed in Table 4A. Specifically, we are correcting the values in the column titled “FY 2021 Out Migration Adjustment”.

Table 5.—List of Medicare Severity Diagnosis-Related Groups (MS-DRGs), Relative Weighting Factors, and Geometric and Arithmetic Mean Length of Stay—FY 2021. We are correcting this table to reflect the recalculation of the relative weights, geometric average length-of-stay (LOS), and arithmetic mean LOS as a result of the corrections to the version 38 MS-DRG assignment for some cases in the historical claims data used in the calculations (as discussed in section II.B. Of this correcting document).

Table 7B.—Medicare Prospective Payment System Selected Percentile Lengths of Stay. FY 2019 MedPAR Update—March 2020 GROUPER Version 38 MS-DRGs. We are correcting this table to reflect the recalculation of the relative weights, geometric average LOS, and arithmetic mean LOS as a result of the corrections to the version 38 MS-DRG assignment for some cases in the historical claims data used in the calculations (as discussed in section II.B.

Of this correcting document). Table 18.—FY 2021 Medicare DSH Uncompensated Care Payment Factor 3. For the FY 2021 IPPS/LTCH PPS final rule, we published a list of hospitals that we identified to be subsection (d) hospitals and subsection (d) Puerto Rico hospitals projected to be eligible to receive uncompensated care interim payments for FY 2021.

As stated in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58834 and 58835), we allowed the public an additional period after the issuance of the final rule to review and submit comments on the accuracy of the list of mergers that we identified in the final rule. Based on the comments received during this additional period, we are updating this table to reflect the merger information received in response to the final rule and to revise the Factor 3 calculations for purposes of determining uncompensated care payments for the FY 2021 IPPS/LTCH PPS final rule. We are revising Factor 3 for all hospitals to reflect the updated merger information received in response to the final rule.

We are also revising the amount of the total uncompensated care payment calculated for each DSH-eligible hospital. The total uncompensated care payment that a hospital receives is used to calculate the amount of the interim uncompensated care payments the hospital receives per discharge. Accordingly, we have also revised these amounts for all DSH-eligible hospitals.

These corrections will be reflected in Table 18 and the Medicare DSH Supplemental Data File. Per discharge uncompensated care payments are included when determining total payments for purposes of all of the budget neutrality factors and the final outlier threshold. As a result, these corrections to uncompensated care payments impacted the calculation of all the budget neutrality factors as well as the outlier fixed-loss cost threshold.

In section IV.C. Of this correcting document, we have made corresponding revisions to the discussion of the “Effects of the Changes to Medicare DSH and Uncompensated Care Payments for FY 2021” for purposes of the Regulatory Impact Analysis in Appendix A of the FY 2021 IPPS/LTCH PPS final rule to reflect the corrections discussed previously and to correct minor typographical errors. The files that are available on the internet have been updated to reflect the corrections discussed in this correcting document.

III. Waiver of Proposed Rulemaking, 60-Day Comment Period, and Delay in Effective Date Under 5 U.S.C. 553(b) of the Administrative Procedure Act (APA), the agency is required to publish a notice of the proposed rulemaking in the Federal Register before the provisions of a rule take effect.

Similarly, section 1871(b)(1) of the Act requires the Secretary to provide for notice of the proposed rulemaking in the Federal Register and provide a period of not less than 60 days for public comment. In addition, section 553(d) of the APA, and section 1871(e)(1)(B)(i) of the Act mandate a 30-day delay in effective date after issuance or publication of a rule. Sections 553(b)(B) and 553(d)(3) of the APA provide for exceptions from the notice and comment and delay in effective date APA requirements.

In cases in which these exceptions apply, sections 1871(b)(2)(C) and 1871(e)(1)(B)(ii) of the Act provide exceptions from the notice and 60-day comment period and delay in effective date requirements of the Act as well. Section 553(b)(B) of the APA and section 1871(b)(2)(C) of the Act authorize an agency to dispense with normal rulemaking requirements for good cause if the agency makes a finding that the notice and comment process are impracticable, unnecessary, or contrary to the public interest. In addition, both section 553(d)(3) of the APA and section 1871(e)(1)(B)(ii) of the Act allow the agency to avoid the 30-day delay in effective date where such delay is contrary to the public interest and an agency includes a statement of support.

We believe that this correcting document does not constitute a rule that would be subject to the notice and comment or delayed effective date requirements. This document corrects technical and typographical errors in the preamble, addendum, payment rates, tables, and appendices included or referenced in the FY 2021 IPPS/LTCH PPS final rule, but does not make substantive changes to the policies or payment methodologies that were adopted in the final rule. As a result, this correcting document is intended to ensure that the information in the FY 2021 IPPS/LTCH PPS final rule accurately reflects the policies adopted in that document.

In addition, even if this were a rule to which the notice and comment procedures and delayed effective date requirements applied, we find that there is good cause to waive such requirements. Undertaking further notice and comment procedures to incorporate the corrections in this document into the final rule or delaying the effective date would be contrary to the public interest because it is in the public's interest for providers to receive appropriate payments in as timely a manner as possible, and to ensure that the FY 2021 IPPS/LTCH PPS final rule accurately reflects our policies. Furthermore, such procedures would be unnecessary, as we are not altering our payment methodologies or policies, but rather, we are simply implementing correctly the methodologies and policies that we previously proposed, requested comment on, and subsequently finalized.

This correcting document is intended solely to ensure that the FY 2021 IPPS/LTCH PPS final rule accurately reflects these payment methodologies and policies. Therefore, we believe we have good cause to waive Start Printed Page 78752the notice and comment and effective date requirements. Moreover, even if these corrections were considered to be retroactive rulemaking, they would be authorized under section 1871(e)(1)(A)(ii) of the Act, which permits the Secretary to issue a rule for the Medicare program with retroactive effect if the failure to do so would be contrary to the public interest.

As we have explained previously, we believe it would be contrary to the public interest not to implement the corrections in this correcting document because it is in the public's interest for providers to receive appropriate payments in as timely a manner as possible, and to ensure that the FY 2021 IPPS/LTCH PPS final rule accurately reflects our policies. IV. Correction of Errors In FR Doc.

2020-19637 of September 18, 2020 (85 FR 58432), we are making the following corrections. A. Corrections of Errors in the Preamble 1.

On page 58435, third column, third full paragraph, line 1, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. 2. On page 58436, first column, first full paragraph, line 10, the reference, “section II.G.9.c.” is corrected to read “section II.F.9.c.”.

3. On page 58448, lower half of the page, second column, first partial paragraph, lines 19 and 20, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 4.

On page 58451, first column, first full paragraph, line 12, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. 5. On page 58453, third column, third full paragraph, line 13, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”.

6. On page 58459, first column, fourth paragraph, line 3, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 7.

On page 58464, bottom quarter of the page, second column, partial paragraph, lines 4 and 5, the phrase “and section II.E.15. Of this final rule,” is corrected to read “and this final rule,”. 8.

On page 58471, first column, first partial paragraph, lines 12 and 13, the reference, “section II.E.15.” is corrected to read “section II.D.15.”. 9. On page 58479, first column, first partial paragraph.

A. Line 6, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. B.

Line 15, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 10. On page 58487, first column, first full paragraph, lines 20 through 21, the reference, “section II.E.12.b.” is corrected to read “section II.D.12.b.”.

11. On page 58495, middle of the page, third column, first full paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 12.

On page 58506. A. Top half of the page, second column, first full paragraph, line 8, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”.

B. Bottom half of the page. (1) First column, first paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”.

(2) Second column, third full paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 13. On page 58509.

A. First column, last paragraph, last line, the reference, “section II.E.2.” is corrected to read “section II.D.2.”. B.

Third column, last paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 14. On page 58520, second column, second full paragraph, line 22, the reference, “section II.E.11.” is corrected to read “section II.D.11.”.

15. On page 58529, bottom half of the page, first column, last paragraph, lines 11 and 12, the reference, “section II.E.12.a.” is corrected to read “section II.D.12.a.”. 16.

On page 58531. A. Top of the page, second column, last paragraph, line 3, the reference, “section II.E.4.” is corrected to read “section II.D.4.”.

B. Bottom of the page, first column, last paragraph, line 3, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. 17.

On page 58532, top of the page, second column, first partial paragraph, line 5, the reference, “section II.E.4.” is corrected to read “section II.D.4.”. 18. On page 58537.

A. Second column, last paragraph, line 6, the reference, “section II.E.11.c.5.” is corrected to read “section II.D.11.c.(5).”. B.

Third column, fifth paragraph. (1) Lines 8 and 9, the reference, “section II.E.11.c.1.” is corrected to read “section II.D.11.c.(1).”. (2) Line 29, the reference, “section II.E.11.c.1.” is corrected to read “section II.D.11.c.(1).”.

19. On page 58540, first column, first partial paragraph, line 19, the reference, “section II.E.13.” is corrected to read “section II.D.13.”. 20.

On page 58541, second column, first partial paragraph, lines 9 and 10, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 21. On page 58553, second column, third full paragraph, line 20, the reference, “section II.E.16.” is corrected to read “section II.D.16.”.

22. On page 58554, first column, fifth full paragraph, line 1, the reference, “section II.E.13.” is corrected to read “section II.D.13.”. 23.

On page 58555, second column, fifth full paragraph, lines 8 and 9, the reference, “section II.E.13.” is corrected to read “section II.D.13.”. 24. On page 58556.

A. First column, first partial paragraph, line 5, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. B.

Second column, first full paragraph. (1) Line 6, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. (2) Line 38, the reference, “section II.E.16.” is corrected to read “section II.D.16.”.

25. On page 58559, bottom half of the page, third column, first full paragraph, line 21, the reference, “section II.E.12.c.” is corrected to read “section II.D.12.c.”. 26.

On page 58560, first column, first full paragraph, line 14, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. 27. On page 58580, third column, last paragraph, line 3, the reference, “section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. 28. On page 58581.

A. Middle of the page. (1) First column, first paragraph, line 3, the reference, “section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. (2) Third column, last paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”.

B. Bottom of the page, third column, last paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”.

Middle of the page. (1) First column, first paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”.

(2) Third column, first full paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”. B.

Bottom of the page, second column, first full paragraph, lines 2 and 3, the reference, “in section II.E.13. Of this final rule,” is corrected to read “this final rule,”. 30.

On page 58583. A. Top of the page, second column, last paragraph, line 3, the reference, Start Printed Page 78753“section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. B. Bottom of the page.

(1) First column, last paragraph, line 3, the reference, “in section II.E.13. Of this final rule,” is corrected to read “this final rule,”. (2) Third column, last paragraph, line 3, the reference, “section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. 31. On page 58585, top of the page, third column, last paragraph, lines 3 and 4, the reference, “in section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. 32. On page 58586.

A. Second column, last partial paragraph, line 4, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. B.

Third column. (1) First partial paragraph. (a) Lines 12 and 13, the reference, “in section II.E.2.b.

Of this final rule,” is corrected to read “this final rule,”. (b) Lines 20 and 21, the reference, “in section II.E.8.a. Of this final rule,” is corrected to read “this final rule,”.

(2) Last partial paragraph. (a) Line 3, the reference, “section II.E.4. Of this final rule,” is corrected to read “this final rule,”.

(b) Line 38, the reference, “section II.E.7.b. Of this final rule,” is corrected to read “this final rule,”. 33.

On page 58587. A. Top of the page, second column, partial paragraph, line 7, the reference, “section II.E.8.a.

Of this final rule,” is corrected to read “this final rule,”. B. Bottom of the page.

(1) Second column, last partial paragraph, line 3, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. (2) Third column, first partial paragraph, line 1, the reference, “section II.E.8.a.” is corrected to read “section II.D.8.a.”. 34.

On page 58588, first column. A. First full paragraph, line 3, the reference, “section II.E.4.” is corrected to read “section II.D.4.”.

B. Third full paragraph, line 3, the reference, “section II.E.7.b.” is corrected to read “section II.D.7.b.”. C.

Fifth full paragraph, line 3, the reference, “section II.E.8.a.” is corrected to read “section II.D.8.a.”. 35. On page 58596.

A. First column. (1) First full paragraph, line 1, the reference, “section II.E.5.a.” is corrected to read “section II.D.5.a.”.

(2) Last paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. C. Second column, first full paragraph, line 14, the date “March 31, 2019” is corrected to read “March 31, 2020”.

36. On page 58599, first column, second full paragraph, line 1, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 37.

On page 58603, first column. A. First partial paragraph, line 13, the reference, “section II.G.1.a.(2).b.” is corrected to read “section II.F.1.a.(2).b.”.

B. Last partial paragraph, line 21, the reference, “section II.G.1.a.(2).b.” is corrected to read “section II.F.1.a.(2).b.”. 38.

On page 58604, third column, first partial paragraph, line 38, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 39. On page 58606.

A. First column, second partial paragraph, line 13, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. B.

Second column. (1) First partial paragraph, line 3, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. (2) First full paragraph.

(a) Line 29, the reference, “section II.G.8.” is corrected to read “section II.F.8.”. (b) Line 36, “section II.G.8.” is corrected to read “section II.F.8.”. E.

Third column, first full paragraph. (1) Lines 4 and 5, the reference, “section II.G.9.b.” is corrected to read section “II.F.9.b.”. (2) Line 13, the reference “section II.G.9.b.” is corrected to read “section II.F.9.b.”.

First column, first full paragraph. (1) Line 7, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. (2) Line 13, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”.

C. Second column, first partial paragraph. (1) Line 20, the reference, “section II.G.9.c.” is corrected to read “section II.F.9.c.”.

(2) Line 33, the reference, “section II.G.9.c.” is corrected to read “section II.F.9.c.”. 41. On page 58610.

A. Second column, last partial paragraph, lines 1 and 16, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. B.

Third column, first partial paragraph. (1) Line 6, the reference, “section II.G.1.a.(2).b.” is corrected to read “section II.F.1.a.(2)b.” (2) Lines 20 and 21, the reference, “section II.G.1.a.(2)b.” is corrected to read “section II.F.1.a.(2)b.”. 42.

On page 58716, first column, second full paragraph, lines 14 through 19, the phrase, “with 03HK0MZ (Insertion of stimulator lead into right internal carotid artery, open approach) or 03HL0MZ (Insertion of stimulator lead into left internal carotid artery, open approach)” is corrected to read “with 03HK3MZ (Insertion of stimulator lead into right internal carotid artery, percutaneous approach) or 03HL3MZ (Insertion of stimulator lead into left internal carotid artery, percutaneous approach).”. 43. On page 58717, first column, first partial paragraph, line 5, the phrase, “with 03HK0MZ or 03HL0MZ” is corrected to read “with 03HK3MZ or 03HL3MZ.” 44.

On page 58719. A. First column, last partial paragraph, line 12, the reference, “section II.G.8.” is corrected to read “section II.F.8.”.

B. Third column, first partial paragraph, line 15, the reference, “section II.G.8.” is corrected to read “section II.F.8.”. 45.

On page 58721, third column, second full paragraph, line 17, the phrase, “XW03366 or XW04366” is corrected to read “XW033A6 (Introduction of cefiderocol anti-infective into peripheral vein, percutaneous approach, new technology group 6) or XW043A6 (Introduction of cefiderocol anti-infective into central vein, percutaneous approach, new technology group 6).”. 46. On page 58723, second column, first partial paragraph, line 14, the phrase, “procedure codes XW03366 or XW04366” is corrected to read “procedure codes XW033A6 or XW043A6.” 47.

On page 58734, third column, second full paragraph, line 26, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. 48. On page 58736, second column, first full paragraph, line 27, the reference, “II.G.9.b.” is corrected to read “II.F.9.b.”.

49. On page 58737, third column, first partial paragraph, line 5, the reference, “section II.G.1.d.” is corrected to read “section II.F.1.d.”. 50.

On page 58739, third column, first full paragraph, line 21, the reference, “section II.G.8.” is corrected to read “section II.F.8.”. 51. On page 58741, third column, second partial paragraph, line 17, the reference, “section II.G.9.a.” is corrected to read “section II.F.9.a.”.Start Printed Page 78754 52.

On page 58768, third column, first partial paragraph, line 3, the figure “0.8465” is corrected to read “0.8469”. 53. On page 58842, second column, first full paragraph, lines 19 and 35, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”.

54. On page 58876, first column, first full paragraph, line 18, the reference, “section II.E.” is corrected to read “section II.D.”. 55.

On page 58893, first column, second full paragraph, line 5, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 56. On page 58898, third column, first full paragraph, line 9, the reference, “section II.E.” is corrected to read “section II.D.”.

57. On page 58899, third column, first full paragraph, line 24, the reference, “section II.E.1.” is corrected to read “section II.D.1.”. 58.

On page 58900, first column, third paragraph, line 26, the reference, “section II.E.” is corrected to read “section II.D.”. 59. On page 59006, second column, second full paragraph.

A. Line 4, the regulation citation, “(c)(3)(i)” is corrected to read “(c)(1)(ii)”. B.

Line 12, the regulation citation, “(c)(3)(ii)” is corrected to read “(c)(2)(ii)”. C. Lines 17 and 18, the phrase “charged to an uncollectible receivables account” is corrected to read, “recorded as an implicit price concession”.

B. Correction of Errors in the Addendum 1. On page 59031.

A. First column. (1) First full paragraph, line 7, the reference, “section “II.G.” is corrected to read “section II.E.”.

(2) Second partial paragraph, lines 26 and 27, the reference, “section II.G.” is corrected to read “section II.E.”. B. Second column, first partial paragraph.

(1) Line 5, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. (2) Line 22, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 2.

On page 59034, at the top of the page, the table titled “Summary of FY 2021 Budget Neutrality Factors” is corrected to read. 3. On page 59037, second column.

A. First full paragraph, line 4, the phrase “(estimated capital outlier payments of $429,431,834 divided by (estimated capital outlier payments of $429,431,834 plus the estimated total capital Federal payment of $7,577,697,269))” is corrected to read. €œ(estimated capital outlier payments of $429,147,874 divided by (estimated capital outlier payments of $429,147,874 plus the estimated total capital Federal payment of $7,577,975,637))” b.

Last partial paragraph, line 8, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 4. On page 59039, third column, last paragraph, lines 18 and 19, the phrase “9,519,120 cases” is corrected to “9,221,466 cases”.

Top of the page, third column. (1) First partial paragraph. (a) Line 9, the figure “$29,051” is corrected to read “$29,064”.

(b) Line 11, the figure “$4,955,813,978” is corrected to read “$4,951,017,650” (c) Line 12, the figure “$92,027,177,037” is corrected to read “$91,937,666,182”. (d) Line 26, the figure “$29,108” is corrected to read “$29,121”. Start Printed Page 78755 (e) Line 33, the figure “$29,051” is corrected to read “$29,064”.

(2) First full paragraph, line 11, the phrase “threshold for FY 2021 (which reflects our” is corrected to read “threshold for FY 2021 of $29,064 (which reflects our”. B. Bottom of the page, the untitled table is corrected to read as follows.

6. On pages 59042, the table titled “CHANGES FROM FY 2020 STANDARDIZED AMOUNTS TO THE FY 2021 STANDARDIZED AMOUNTS” is corrected to read as follows. Start Printed Page 78756 7.

(1) Second full paragraph, line 43, the figure “0.9984” is corrected to read “0.9983”. (2) Last paragraph. (a) Line 17, the figure “0.9984” is corrected to read “0.9983”.

(b) Line 18, the figure “0.9984” is corrected to read “0.9983”. B. Third column.

(1) Third paragraph, line 4, the figure “0.9984” is corrected to read “0.9983”. (2) Last paragraph, line 9, the figure “$466.22” is corrected to read “$466.21”. 8.

On page 59048. A. The chart titled “COMPARISON OF FACTORS AND ADJUSTMENTS.

FY 2020 CAPITAL FEDERAL RATE AND THE FY 2021 CAPITAL FEDERAL RATE” is corrected to read as follows. b. Lower half of the page, first column, second full paragraph, last line, the figure “$29,051” is corrected to read “$29,064”.

9. On page 59057, second column, second full paragraph. A.

Line 11, the figure “$29,051” is corrected to read “$29,064”. B. Last line, the figure “$29,051” is corrected to read “$29,064”.

10. On page 59060, the table titled “TABLE 1A—NATIONAL ADJUSTED OPERATING STANDARDIZED AMOUNTS, LABOR/NONLABOR (68.3 PERCENT LABOR SHARE/31.7 PERCENT NONLABOR SHARE IF WAGE INDEX IS GREATER THAN 1) —FY 2021” is corrected to read as follows. 11.

On page 59061, top of the page. A. The table titled “TABLE 1B—NATIONAL ADJUSTED OPERATING STANDARDIZED AMOUNTS, LABOR/NONLABOR (62 PERCENT LABOR SHARE/38 PERCENT NONLABOR SHARE IF WAGE INDEX IS LESS THAN OR EQUAL TO 1)—FY 2021” is corrected to read as follows.

Start Printed Page 78757 b. The table titled “Table 1C—ADJUSTED OPERATING STANDARDIZED AMOUNTS FOR HOSPITALS IN PUERTO RICO, LABOR/NONLABOR (NATIONAL. 62 PERCENT LABOR SHARE/38 PERCENT NONLABOR SHARE BECAUSE WAGE INDEX IS LESS THAN OR EQUAL TO 1)—FY 2021” is corrected to read as follows.

c. The table titled “TABLE 1D—CAPITAL STANDARD FEDERAL PAYMENT RATE—FY 2021” is corrected to read as follows. C.

Corrections of Errors in the Appendices 1. On page 59062, first column, second full paragraph. A.

Line 9, the reference “sections II.G.5. And 6.” is corrected to read “sections II.F.5. And 6.” b.

Line 11, the reference “section II.G.6.” is corrected to read “section II.F.6.” 3. On page 59064, third column, second full paragraph, last line, the figures “2,049, and 1,152” are corrected to read “2,050 and 1,151”. 4.

On page 59065 through 59069, the table and table notes for the table titled “TABLE I.—IMPACT ANALYSIS OF CHANGES TO THE IPPS FOR OPERATING COSTS FOR FY 2021” are corrected to read as follows. Start Printed Page 78758 Start Printed Page 78759 Start Printed Page 78760 Start Printed Page 78761 Start Printed Page 78762 5. On page 59070.

(a) Line 1, the reference, “section II.E.” is corrected to read “section II.D.”. (b) Line 11, the section reference “II.G.” is corrected to read “II.E.”. (2) Fourth full paragraph, line 6, the figure “0.99798” is corrected to read “0.997975”.

B. Third column, first full paragraph, line 26, the figure “1.000426” is corrected to read “1.000447”. 6.

On page 59071, lower half of the page. A. First column, third full paragraph, line 6, the figure “0.986583” is corrected to read “0.986616”.

B. Second column, second full paragraph, line 5, the figure “0.993433” is corrected to read “0.993446”. C.

Third column, first partial paragraph, line 2, the figure “0.993433” is corrected to read “0.993446”. 7. On page 59073 and 59074, the table titled “TABLE II.—IMPACT ANALYSIS OF CHANGES FOR FY 2021 ACUTE CARE HOSPITAL OPERATING PROSPECTIVE PAYMENT SYSTEM (PAYMENTS PER DISCHARGE)” is corrected to read as follows.

Start Printed Page 78763 Start Printed Page 78764 Start Printed Page 78765 8. On page 59074, bottom of the page, second column, last partial paragraph, line 1, the reference “section II.G.9.b.” is corrected to read “section II.F.9.b.”. 9.

(1) First full paragraph, line 1, the reference “section II.G.9.c.” is corrected to read “section II.F.9.c.”. (2) Last partial paragraph. (i) Line 1, the reference “section II.G.4.” is corrected to read “section II.F.4.”.

(ii) Line 11, the reference “section II.G.4.” is corrected to read “section II.F.4.”. B. Third column.

(1) First full paragraph. (i) Line 1, the reference “sections II.G.5. And 6.” is corrected to read “sections II.F.5.

And 6.”. (ii) Line 12, the reference “section II.H.6.” is corrected to read “section II.F.6.”. (2) Last paragraph, line 1, the reference “section II.G.6.” is corrected to read “section II.F.6.”.

10. On page 59076, first column, first partial paragraph, lines 2 and 3, the reference “section II.G.9.c.” is corrected to read “section II.F.9.c.”. 11.

On pages 59077 and 59078 the table titled “Modeled Uncompensated Care Payments for Estimated FY 2021 DSHs by Hospital Type. Uncompensated Care Payments ($ in Millions)—from FY 2020 to FY 2021” is corrected to read as follows. Start Printed Page 78766 Start Printed Page 78767 12.

On pages 59078 and 59079 in the section titled “Effects of the Changes to Uncompensated Care Payments for FY 2021”, the section's language (beginning with the phrase “Rural hospitals, in general, are projected to experience” and ending with the sentence “Hospitals with greater than 65 percent Medicare utilization are projected to receive an increase of 0.62 percent.”) is corrected to read as follows. €œRural hospitals, in general, are projected to experience larger decreases in uncompensated care payments than their urban counterparts. Overall, rural hospitals are projected to receive a 7.19 percent decrease in uncompensated care payments, while urban hospitals are projected to receive a 0.29 percent decrease in uncompensated care payments.

However, hospitals in large urban areas are projected to receive a 0.75 percent increase in uncompensated care payments and hospitals in other urban areas a 1.94 percent decrease. By bed size, smaller rural hospitals are projected to receive the largest decreases in uncompensated care payments. Rural hospitals with 0-99 beds are projected to receive a 9.46 percent payment decrease, and rural hospitals with 100-249 beds are projected to receive a 7.44 percent decrease.

These decreases for smaller rural hospitals are greater than the overall hospital average. However, larger rural hospitals with 250+ beds are projected to receive a 7.64 percent payment increase. In contrast, the smallest urban hospitals (0-99 beds) are projected to receive an increase in uncompensated care payments of 2.61 percent, while urban hospitals with 100-249 beds are projected to receive a decrease of 1.05 percent, and larger urban hospitals with 250+ beds are projected to receive a 0.18 percent decrease in uncompensated care payments, which is less than the overall hospital average.

By region, rural hospitals are expected to receive larger than average decreases in uncompensated care payments in all Regions, except for rural hospitals in the Pacific Region, which are projected to receive an increase in uncompensated care payments of 9.14 percent. Urban hospitals are projected to receive a more varied range of payment changes. Urban hospitals in the New England, the Middle Atlantic, West South Central, and Mountain Regions, as well as urban hospitals in Puerto Rico, are projected to receive larger than average decreases in uncompensated care payments, while urban hospitals in the South Atlantic, East North Central, East South Central, West North Central, and Pacific Regions are projected to receive increases in uncompensated care payments.

By payment classification, hospitals in urban areas overall are expected to receive a 0.18 percent increase in uncompensated care payments, with hospitals in large urban areas expected to see an increase in uncompensated care payments of 1.15 percent, while hospitals in other urban areas are expected to receive a decrease of 1.60 percent. In contrast, hospitals in rural areas are projected to receive a decrease in uncompensated care payments of 3.18 percent. Nonteaching hospitals are projected to receive a payment decrease of 0.99 percent, teaching hospitals with fewer than 100 residents are projected to receive a payment decrease of 0.83 percent, and teaching hospitals with 100+ residents have a projected payment decrease of 0.41 percent.

All of these decreases are consistent with the overall hospital average. Proprietary and government hospitals are projected to receive larger than average decreases of 2.42 and 1.14 percent respectively, while voluntary hospitals are expected to receive a payment decrease of 0.03 percent. Hospitals with less than 50 percent Medicare utilization are projected to receive decreases in uncompensated care payments consistent with the overall hospital average percent change, while hospitals with 50 to 65 percent Medicare utilization are projected to receive a larger than average decrease of 4.12 percent.

Hospitals with greater than 65 percent Medicare utilization are projected to receive an increase of 0.80 percent.” 13. On page 59085, lower half of the page, second column, last partial paragraph, line 20, the section reference “II.H.” is corrected to read “IV.H.”. 14.

On pages 59092 and 59093, the table titled “TABLE III.—COMPARISON OF TOTAL PAYMENTS PER CASE [FY 2020 PAYMENTS COMPARED TO FINAL FY 2021 PAYMENTS] is corrected to read as. Start Printed Page 78768 Start Printed Page 78769 Start Signature Wilma M. Robinson, Deputy Executive Secretary to the Department, Department of Health and Human Services.

End Signature End Supplemental Information BILLING CODE 4120-01-PBILLING CODE 4120-01-CBILLING CODE 4120-01-PBILLING CODE 4120-01-CBILLING CODE 4120-01-PBILLING CODE 4120-01-CBILLING CODE 4120-01-P[FR Doc. 2020-26698 Filed 12-1-20. 4:15 pm]BILLING CODE 4120-01-C.

SAMHSA publishes guidelines, toolkit to strengthen crisis care in America's communities | SAMHSA Skip ventolin hfa discount coupon to main contentStart Preamble Centers for can you get ventolin over the counter nz Medicare &. Medicaid Services (CMS), Health can you get ventolin over the counter nz and Human Services (HHS). Final rule can you get ventolin over the counter nz.

Correction. This document corrects technical and typographical errors in the final rule can you get ventolin over the counter nz that appeared in the September 18, 2020 issue of the Federal Register titled “Medicare Program. Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long-Term Care can you get ventolin over the counter nz Hospital Prospective Payment System and Final Policy Changes and Fiscal Year 2021 Rates.

Quality Reporting and Medicare and Medicaid Promoting Interoperability can you get ventolin over the counter nz Programs Requirements for Eligible Hospitals and Critical Access Hospitals”. Effective Date. This correcting document is effective can you get ventolin over the counter nz on December 1, 2020.

Applicability can you get ventolin over the counter nz Date. The corrections can you get ventolin over the counter nz in this correcting document are applicable to discharges occurring on or after October 1, 2020. Start Further Info Donald Thompson and Michele Hudson, (410) 786-4487.

End Further Info End Preamble Start can you get ventolin over the counter nz Supplemental Information I. Background In FR can you get ventolin over the counter nz Doc. 2020-19637 of September 18, 2020 (85 FR 58432) there were a number of technical and typographical errors that are identified and corrected in the Correction of Errors section of can you get ventolin over the counter nz this correcting document.

The corrections in this correcting document are applicable to discharges occurring on or after October 1, 2020, as if they had been included in the document that appeared in the September 18, 2020 Federal Register. II. Summary of Errors A.

Summary of Errors in the Preamble On the following pages. 58435 through 58436, 58448, 58451, 58453, 58459, 58464, 58471, 58479, 58487, 58495, 58506, 58509, 58520, 58529, 58531 through 58532, 58537, 58540 through 58541, 58553 through 58556, 58559 through 58560, 58580 through 58583, 58585 through 58588, 58596, 58599, 58603 through 58604, 58606 through 58607, 58610, 58719, 58734, 58736 through 58737, 58739, 58741, 58842, 58876, 58893, and 58898 through 58900, we are correcting inadvertent typographical errors in the internal section references. On page 58596, we are correcting an inadvertent typographical error in the date of the MedPAR data used for developing the Medicare Severity Diagnosis-Related Group (MS-DRG) relative weights.

On pages 58716 and 58717, we are correcting inadvertent errors in the ICD-10-PCS procedure codes describing the BAROSTIM NEO® System technology. On pages 58721 and 58723, we are correcting inadvertent errors in the ICD-10-PCS procedure codes describing the Cefiderocol technology. On page 58768, due to a conforming change to the Rural Floor Budget Neutrality adjustment (listed in the table titled “Summary of FY 2021 Budget Neutrality Factors” on page 59034) as discussed in section II.B.

Of this correcting document and the conforming changes to the Out-Migration Adjustment discussed in section II. D of this correcting document (with regard to Table 4A), we are correcting the 25th percentile wage index value across all hospitals. On page 59006, in the discussion of Medicare bad debt policy, we are correcting inadvertent errors in the regulatory citations and descriptions.

B. Summary of Errors in the Addendum On pages 59031 and 59037, we are correcting inadvertent typographical errors in the internal section references. We are correcting an error in the version 38 ICD-10 MS-DRG assignment for some cases in the historical claims data in the FY 2019 MedPAR files used in the ratesetting for the FY 2021 IPPS/LTCH PPS final rule, which resulted in inadvertent errors in the MS-DRG relative weights (and associated average length-of-stay (LOS)).

Additionally, the version 38 MS-DRG assignment and relative weights are used when determining total payments for purposes of all of the budget neutrality factors and the final outlier threshold. As a result, the corrections to the MS-DRG assignment under the ICD-10 MS-DRG GROUPER version 38 for some cases in the historical claims data in the FY 2019 MedPAR files and the recalculation of the relative weights directly affected the calculation of total payments and required the recalculation of all the budget neutrality factors and the final outlier threshold. In addition, as discussed in section II.D.

Of this correcting document, we made updates to the calculation of Factor 3 of the uncompensated care payment methodology to reflect updated information on hospital mergers received in response to the final rule. Factor 3 determines the total amount of the uncompensated care payment a hospital is eligible to receive for a fiscal year. This hospital-specific payment amount is then used to calculate the amount of the interim uncompensated care payments a hospital receives per discharge.

Per discharge uncompensated care payments are included when determining total payments for purposes of all of the budget neutrality factors and the final outlier threshold. As a result, the revisions made to the calculation of Factor 3 to address additional merger information directly affected the calculation of total payments and required the recalculation of all the budget neutrality factors and the final outlier threshold. We made an inadvertent error in the Medicare Geographic Classification Review Board (MGCRB) reclassification status of one hospital in the FY 2021 IPPS/LTCH PPS final rule.

Specifically, CCN 050481 is incorrectly listed in Table 2 as reclassified to its geographic “home” of CBSA 31084. The correct reclassification area is to CBSA 37100. This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100 and affected the final FY 2021 wage index with reclassification.

The final FY 2021 IPPS wage index with reclassification is used when determining total payments for purposes of all budget neutrality factors (except for the MS-DRG reclassification and recalibration budget neutrality factor and the wage index budget neutrality adjustment factor) and the final outlier threshold. Due to the correction of the combination of errors listed previously (corrections to the MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and average length of stay, revisions to Factor 3 of the uncompensated care payment methodology, and the correction to the MGCRB reclassification status of one hospital), we recalculated all IPPS budget neutrality adjustment factors, the fixed-loss cost threshold, the final wage indexes (and geographic adjustment factors (GAFs)), the national operating standardized amounts and capital Federal rate. Therefore, we made conforming changes to the following.

On page 59034, the table titled “Summary of FY 2021 Budget Neutrality Factors”. On page 59037, the estimated total Federal capital payments and the estimated capital outlier payments. On page 59040, the calculation of the outlier fixed-loss cost threshold, total operating Federal payments, total operating outlier payments, the outlier adjustment to the capital Federal rate and the related discussion of the percentage estimates of operating and capital outlier payments.

On page 59042, the table titled “Changes from FY 2020 Standardized Amounts to the FY 2021 Standardized Amounts”. On page 59039, we are correcting a typographical error in the total cases from October 1, 2018 through September 31, 2019 used to calculate the average covered charge per case, which is then used to calculate the charge inflation factor. On pages 59047 through 59048, in our discussion of the determination of the Federal hospital inpatient capital-related prospective payment rate update, due to the recalculation of the GAFs as well as corrections to the MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and average length of stay, we have made conforming corrections to the capital Federal rate, the incremental budget neutrality adjustment factor for changes in the GAFs, and the outlier threshold (as discussed previously).

As a result of these changes, we also made conforming corrections in the table showing the comparison of factors and adjustments for the FY 2020 capital Federal rate and FY 2021 capital Federal rate. As we noted in the final rule, the capital Federal rate is calculated using unrounded budget neutrality and outlier Start Printed Page 78750adjustment factors. The unrounded GAF/DRG budget neutrality factors and the unrounded outlier adjustment to the capital Federal rate were revised because of these errors.

However, after rounding these factors to 4 decimal places as displayed in the final rule, the rounded factors were unchanged from the final rule. On page 59057, we are making conforming changes to the fixed-loss amount for FY 2021 site neutral payment rate discharges, and the high cost outlier (HCO) threshold (based on the corrections to the IPPS fixed-loss amount discussed previously). On pages 59060 and 59061, we are making conforming corrections to the national adjusted operating standardized amounts and capital standard Federal payment rate (which also include the rates payable to hospitals located in Puerto Rico) in Tables 1A, 1B, 1C, and 1D as a result of the conforming corrections to certain budget neutrality factors and the outlier threshold previously described.

C. Summary of Errors in the Appendices On pages 59062, 59070, 59074 through 59076, and 59085 we are correcting inadvertent typographical errors in the internal section references. On pages 59064 through 59071, 59073 and 59074, and 59092 and 59093, in our regulatory impact analyses, we have made conforming corrections to the factors, values, and tables and accompanying discussion of the changes in operating and capital IPPS payments for FY 2021 and the effects of certain IPPS budget neutrality factors as a result of the technical errors that lead to changes in our calculation of the operating and capital IPPS budget neutrality factors, outlier threshold, final wage indexes, operating standardized amounts, and capital Federal rate (as described in section II.B.

Of this correcting document). These conforming corrections include changes to the following tables. On pages 59065 through 59069, the table titled “Table I—Impact Analysis of Changes to the IPPS for Operating Costs for FY 2021”.

On pages 59073 and 59074, the table titled “Table II—Impact Analysis of Changes for FY 2021 Acute Care Hospital Operating Prospective Payment System (Payments per discharge)”. On pages 59092 and 59093, the table titled “Table III—Comparison of Total Payments per Case [FY 2020 Payments Compared to Final FY 2021 payments]”. On pages 59076 through 59079, we are correcting the discussion of the “Effects of the Changes to Uncompensated Care Payments for FY 2021” for purposes of the Regulatory Impact Analysis in Appendix A of the FY 2021 IPPS/LTCH PPS final rule, including the table titled “Modeled Uncompensated Care Payments for Estimated FY 2021 DSHs by Hospital Type.

Uncompensated Care Payments ($ in Millions)*—from FY 2020 to FY 2021” on pages 59077 and 59078, in light of the corrections discussed in section II.D. Of this correcting document. D.

Summary of Errors in and Corrections to Files and Tables Posted on the CMS Website We are correcting the errors in the following IPPS tables that are listed on pages 59059 and 59060 of the FY 2021 IPPS/LTCH PPS final rule and are available on the internet on the CMS website at https://www.cms.gov/​Medicare/​Medicare-Fee-for-Service-Payment/​AcuteInpatientPPS/​index.html. The tables that are available on the internet have been updated to reflect the revisions discussed in this correcting document. Table 2—Case-Mix Index and Wage Index Table by CCN-FY 2021 Final Rule.

As discussed in section II.B. Of this correcting document, CCN 050481 is incorrectly listed as reclassified to its home geographic area of CBSA 31084. In this table, we are correcting the columns titled “Wage Index Payment CBSA” and “MGCRB Reclass” to accurately reflect its reclassification to CBSA 37100.

This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100. Also, the corrections to the version 38 MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and ALOS, corrections to Factor 3 of the uncompensated care payment methodology, and recalculation of all of the budget neutrality adjustments (as discussed in section II.B. Of this correcting document) necessitated the recalculation of the rural floor budget neutrality factor which is the only budget neutrality factor applied to the FY 2021 wage indexes.

Because the rural floor budget neutrality factor is applied to the FY 2021 wage indexes, we are making corresponding changes to the wage indexes listed in Table 2. In addition, as also discussed later in this section, because the wage indexes are one of the inputs used to determine the out-migration adjustment, some of the out migration adjustments changed. Therefore, we are making corresponding changes to some of the out-migration adjustments listed in Table 2.

Also, as discussed in section II.A of this correcting document, we made a conforming change to the 25th percentile wage index value across all hospitals. Accordingly, we are making corresponding changes to the values for hospitals in the columns titled “FY 2021 Wage Index Prior to Quartile and Transition”, “FY 2021 Wage Index With Quartile”, “FY 2021 Wage Index With Quartile and Cap” and “Out-Migration Adjustment”. We also updated footnote number 6 to reflect the conforming change to the 25th percentile wage index value across all hospitals.

Table 3.—Wage Index Table by CBSA—FY 2021 Final Rule. As discussed in section II.B. Of this correcting document, CCN 050481 is incorrectly listed in Table 2 as reclassified to its home geographic area of CBSA 31084 instead of reclassified to CBSA 37100.

This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100. Also, corrections to the version 38 MS-DRG assignment for some cases in the historical claims data and the resulting recalculation of the relative weights and ALOS, corrections to Factor 3 of the uncompensated care payment methodology, and the recalculation of all of the budget neutrality adjustments (as discussed in section II.B. Of this correcting document) necessitated the recalculation of the rural floor budget neutrality factor which is the only budget neutrality factor applied to the FY 2021 wage indexes.

Because the rural floor budget neutrality factor is applied to the FY 2021 wage indexes, we are making corresponding changes to the wage indexes and GAFs of all CBSAs listed in Table 3. Specifically, we are correcting the values and flags in the columns titled “Wage Index”, “GAF”, “Reclassified Wage Index”, “Reclassified GAF”, “State Rural Floor”, “Eligible for Rural Floor Wage Index”, “Pre-Frontier and/or Pre-Rural Floor Wage Index”, “Reclassified Wage Index Eligible for Frontier Wage Index”, “Reclassified Wage Index Eligible for Rural Floor Wage Index”, and “Reclassified Wage Index Pre-Frontier and/or Pre-Rural Floor”. Table 4A.— List of Counties Eligible for the Out-Migration Adjustment under Section 1886(d)(13) of the Act—FY 2021 Final Rule.

As discussed in section II.B. Of this correcting document, CCN 050481 is incorrectly listed in Table 2 as reclassified to its home geographic area of CBSA 31084 instead of reclassified to CBSA 37100. This correction necessitated the recalculation of the FY 2021 wage index for CBSA 37100.

Also, corrections to the version 38 MS-DRG assignment for some cases Start Printed Page 78751in the historical claims data and the resulting recalculation of the relative weights and ALOS, corrections to Factor 3 of the uncompensated care payment methodology, and the recalculation of all of the budget neutrality adjustments (as discussed in section II.B. Of this correcting document) necessitated the recalculation of the rural floor budget neutrality factor which is the only budget neutrality factor applied to the FY 2021 wage indexes. As a result, as discussed previously, we are making corresponding changes to the FY 2021 wage indexes.

Because the wage indexes are one of the inputs used to determine the out-migration adjustment, some of the out migration adjustments changed. Therefore, we are making corresponding changes to some of the out-migration adjustments listed in Table 4A. Specifically, we are correcting the values in the column titled “FY 2021 Out Migration Adjustment”.

Table 5.—List of Medicare Severity Diagnosis-Related Groups (MS-DRGs), Relative Weighting Factors, and Geometric and Arithmetic Mean Length of Stay—FY 2021. We are correcting this table to reflect the recalculation of the relative weights, geometric average length-of-stay (LOS), and arithmetic mean LOS as a result of the corrections to the version 38 MS-DRG assignment for some cases in the historical claims data used in the calculations (as discussed in section II.B. Of this correcting document).

Table 7B.—Medicare Prospective Payment System Selected Percentile Lengths of Stay. FY 2019 MedPAR Update—March 2020 GROUPER Version 38 MS-DRGs. We are correcting this table to reflect the recalculation of the relative weights, geometric average LOS, and arithmetic mean LOS as a result of the corrections to the version 38 MS-DRG assignment for some cases in the historical claims data used in the calculations (as discussed in section II.B.

Of this correcting document). Table 18.—FY 2021 Medicare DSH Uncompensated Care Payment Factor 3. For the FY 2021 IPPS/LTCH PPS final rule, we published a list of hospitals that we identified to be subsection (d) hospitals and subsection (d) Puerto Rico hospitals projected to be eligible to receive uncompensated care interim payments for FY 2021.

As stated in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58834 and 58835), we allowed the public an additional period after the issuance of the final rule to review and submit comments on the accuracy of the list of mergers that we identified in the final rule. Based on the comments received during this additional period, we are updating this table to reflect the merger information received in response to the final rule and to revise the Factor 3 calculations for purposes of determining uncompensated care payments for the FY 2021 IPPS/LTCH PPS final rule. We are revising Factor 3 for all hospitals to reflect the updated merger information received in response to the final rule.

We are also revising the amount of the total uncompensated care payment calculated for each DSH-eligible hospital. The total uncompensated care payment that a hospital receives is used to calculate the amount of the interim uncompensated care payments the hospital receives per discharge. Accordingly, we have also revised these amounts for all DSH-eligible hospitals.

These corrections will be reflected in Table 18 and the Medicare DSH Supplemental Data File. Per discharge uncompensated care payments are included when determining total payments for purposes of all of the budget neutrality factors and the final outlier threshold. As a result, these corrections to uncompensated care payments impacted the calculation of all the budget neutrality factors as well as the outlier fixed-loss cost threshold.

In section IV.C. Of this correcting document, we have made corresponding revisions to the discussion of the “Effects of the Changes to Medicare DSH and Uncompensated Care Payments for FY 2021” for purposes of the Regulatory Impact Analysis in Appendix A of the FY 2021 IPPS/LTCH PPS final rule to reflect the corrections discussed previously and to correct minor typographical errors. The files that are available on the internet have been updated to reflect the corrections discussed in this correcting document.

III. Waiver of Proposed Rulemaking, 60-Day Comment Period, and Delay in Effective Date Under 5 U.S.C. 553(b) of the Administrative Procedure Act (APA), the agency is required to publish a notice of the proposed rulemaking in the Federal Register before the provisions of a rule take effect.

Similarly, section 1871(b)(1) of the Act requires the Secretary to provide for notice of the proposed rulemaking in the Federal Register and provide a period of not less than 60 days for public comment. In addition, section 553(d) of the APA, and section 1871(e)(1)(B)(i) of the Act mandate a 30-day delay in effective date after issuance or publication of a rule. Sections 553(b)(B) and 553(d)(3) of the APA provide for exceptions from the notice and comment and delay in effective date APA requirements.

In cases in which these exceptions apply, sections 1871(b)(2)(C) and 1871(e)(1)(B)(ii) of the Act provide exceptions from the notice and 60-day comment period and delay in effective date requirements of the Act as well. Section 553(b)(B) of the APA and section 1871(b)(2)(C) of the Act authorize an agency to dispense with normal rulemaking requirements for good cause if the agency makes a finding that the notice and comment process are impracticable, unnecessary, or contrary to the public interest. In addition, both section 553(d)(3) of the APA and section 1871(e)(1)(B)(ii) of the Act allow the agency to avoid the 30-day delay in effective date where such delay is contrary to the public interest and an agency includes a statement of support.

We believe that this correcting document does not constitute a rule that would be subject to the notice and comment or delayed effective date requirements. This document corrects technical and typographical errors in the preamble, addendum, payment rates, tables, and appendices included or referenced in the FY 2021 IPPS/LTCH PPS final rule, but does not make substantive changes to the policies or payment methodologies that were adopted in the final rule. As a result, this correcting document is intended to ensure that the information in the FY 2021 IPPS/LTCH PPS final rule accurately reflects the policies adopted in that document.

In addition, even if this were a rule to which the notice and comment procedures and delayed effective date requirements applied, we find that there is good cause to waive such requirements. Undertaking further notice and comment procedures to incorporate the corrections in this document into the final rule or delaying the effective date would be contrary to the public interest because it is in the public's interest for providers to receive appropriate payments in as timely a manner as possible, and to ensure that the FY 2021 IPPS/LTCH PPS final rule accurately reflects our policies. Furthermore, such procedures would be unnecessary, as we are not altering our payment methodologies or policies, but rather, we are simply implementing correctly the methodologies and policies that we previously proposed, requested comment on, and subsequently finalized.

This correcting document is intended solely to ensure that the FY 2021 IPPS/LTCH PPS final rule accurately reflects these payment methodologies and policies. Therefore, we believe we have good cause to waive Start Printed Page 78752the notice and comment and effective date requirements. Moreover, even if these corrections were considered to be retroactive rulemaking, they would be authorized under section 1871(e)(1)(A)(ii) of the Act, which permits the Secretary to issue a rule for the Medicare program with retroactive effect if the failure to do so would be contrary to the public interest.

As we have explained previously, we believe it would be contrary to the public interest not to implement the corrections in this correcting document because it is in the public's interest for providers to receive appropriate payments in as timely a manner as possible, and to ensure that the FY 2021 IPPS/LTCH PPS final rule accurately reflects our policies. IV. Correction of Errors In FR Doc.

2020-19637 of September 18, 2020 (85 FR 58432), we are making the following corrections. A. Corrections of Errors in the Preamble 1.

On page 58435, third column, third full paragraph, line 1, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. 2. On page 58436, first column, first full paragraph, line 10, the reference, “section II.G.9.c.” is corrected to read “section II.F.9.c.”.

3. On page 58448, lower half of the page, second column, first partial paragraph, lines 19 and 20, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 4.

On page 58451, first column, first full paragraph, line 12, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. 5. On page 58453, third column, third full paragraph, line 13, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”.

6. On page 58459, first column, fourth paragraph, line 3, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 7.

On page 58464, bottom quarter of the page, second column, partial paragraph, lines 4 and 5, the phrase “and section II.E.15. Of this final rule,” is corrected to read “and this final rule,”. 8.

On page 58471, first column, first partial paragraph, lines 12 and 13, the reference, “section II.E.15.” is corrected to read “section II.D.15.”. 9. On page 58479, first column, first partial paragraph.

A. Line 6, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. B.

Line 15, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 10. On page 58487, first column, first full paragraph, lines 20 through 21, the reference, “section II.E.12.b.” is corrected to read “section II.D.12.b.”.

11. On page 58495, middle of the page, third column, first full paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 12.

On page 58506. A. Top half of the page, second column, first full paragraph, line 8, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”.

B. Bottom half of the page. (1) First column, first paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”.

(2) Second column, third full paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 13. On page 58509.

A. First column, last paragraph, last line, the reference, “section II.E.2.” is corrected to read “section II.D.2.”. B.

Third column, last paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 14. On page 58520, second column, second full paragraph, line 22, the reference, “section II.E.11.” is corrected to read “section II.D.11.”.

15. On page 58529, bottom half of the page, first column, last paragraph, lines 11 and 12, the reference, “section II.E.12.a.” is corrected to read “section II.D.12.a.”. 16.

On page 58531. A. Top of the page, second column, last paragraph, line 3, the reference, “section II.E.4.” is corrected to read “section II.D.4.”.

B. Bottom of the page, first column, last paragraph, line 3, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. 17.

On page 58532, top of the page, second column, first partial paragraph, line 5, the reference, “section II.E.4.” is corrected to read “section II.D.4.”. 18. On page 58537.

A. Second column, last paragraph, line 6, the reference, “section II.E.11.c.5.” is corrected to read “section II.D.11.c.(5).”. B.

Third column, fifth paragraph. (1) Lines 8 and 9, the reference, “section II.E.11.c.1.” is corrected to read “section II.D.11.c.(1).”. (2) Line 29, the reference, “section II.E.11.c.1.” is corrected to read “section II.D.11.c.(1).”.

19. On page 58540, first column, first partial paragraph, line 19, the reference, “section II.E.13.” is corrected to read “section II.D.13.”. 20.

On page 58541, second column, first partial paragraph, lines 9 and 10, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. 21. On page 58553, second column, third full paragraph, line 20, the reference, “section II.E.16.” is corrected to read “section II.D.16.”.

22. On page 58554, first column, fifth full paragraph, line 1, the reference, “section II.E.13.” is corrected to read “section II.D.13.”. 23.

On page 58555, second column, fifth full paragraph, lines 8 and 9, the reference, “section II.E.13.” is corrected to read “section II.D.13.”. 24. On page 58556.

A. First column, first partial paragraph, line 5, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. B.

Second column, first full paragraph. (1) Line 6, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. (2) Line 38, the reference, “section II.E.16.” is corrected to read “section II.D.16.”.

25. On page 58559, bottom half of the page, third column, first full paragraph, line 21, the reference, “section II.E.12.c.” is corrected to read “section II.D.12.c.”. 26.

On page 58560, first column, first full paragraph, line 14, the reference, “section II.E.16.” is corrected to read “section II.D.16.”. 27. On page 58580, third column, last paragraph, line 3, the reference, “section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. 28. On page 58581.

A. Middle of the page. (1) First column, first paragraph, line 3, the reference, “section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. (2) Third column, last paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”.

B. Bottom of the page, third column, last paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”.

Middle of the page. (1) First column, first paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”.

(2) Third column, first full paragraph, line 3, the reference, “section II.E.13. Of this final rule,” is corrected to read “this final rule,”. B.

Bottom of the page, second column, first full paragraph, lines 2 and 3, the reference, “in section II.E.13. Of this final rule,” is corrected to read “this final rule,”. 30.

On page 58583. A. Top of the page, second column, last paragraph, line 3, the reference, Start Printed Page 78753“section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. B. Bottom of the page.

(1) First column, last paragraph, line 3, the reference, “in section II.E.13. Of this final rule,” is corrected to read “this final rule,”. (2) Third column, last paragraph, line 3, the reference, “section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. 31. On page 58585, top of the page, third column, last paragraph, lines 3 and 4, the reference, “in section II.E.13.

Of this final rule,” is corrected to read “this final rule,”. 32. On page 58586.

A. Second column, last partial paragraph, line 4, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. B.

Third column. (1) First partial paragraph. (a) Lines 12 and 13, the reference, “in section II.E.2.b.

Of this final rule,” is corrected to read “this final rule,”. (b) Lines 20 and 21, the reference, “in section II.E.8.a. Of this final rule,” is corrected to read “this final rule,”.

(2) Last partial paragraph. (a) Line 3, the reference, “section II.E.4. Of this final rule,” is corrected to read “this final rule,”.

(b) Line 38, the reference, “section II.E.7.b. Of this final rule,” is corrected to read “this final rule,”. 33.

On page 58587. A. Top of the page, second column, partial paragraph, line 7, the reference, “section II.E.8.a.

Of this final rule,” is corrected to read “this final rule,”. B. Bottom of the page.

(1) Second column, last partial paragraph, line 3, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. (2) Third column, first partial paragraph, line 1, the reference, “section II.E.8.a.” is corrected to read “section II.D.8.a.”. 34.

On page 58588, first column. A. First full paragraph, line 3, the reference, “section II.E.4.” is corrected to read “section II.D.4.”.

B. Third full paragraph, line 3, the reference, “section II.E.7.b.” is corrected to read “section II.D.7.b.”. C.

Fifth full paragraph, line 3, the reference, “section II.E.8.a.” is corrected to read “section II.D.8.a.”. 35. On page 58596.

A. First column. (1) First full paragraph, line 1, the reference, “section II.E.5.a.” is corrected to read “section II.D.5.a.”.

(2) Last paragraph, line 5, the reference, “section II.E.1.b.” is corrected to read “section II.D.1.b.”. C. Second column, first full paragraph, line 14, the date “March 31, 2019” is corrected to read “March 31, 2020”.

36. On page 58599, first column, second full paragraph, line 1, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 37.

On page 58603, first column. A. First partial paragraph, line 13, the reference, “section II.G.1.a.(2).b.” is corrected to read “section II.F.1.a.(2).b.”.

B. Last partial paragraph, line 21, the reference, “section II.G.1.a.(2).b.” is corrected to read “section II.F.1.a.(2).b.”. 38.

On page 58604, third column, first partial paragraph, line 38, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 39. On page 58606.

A. First column, second partial paragraph, line 13, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. B.

Second column. (1) First partial paragraph, line 3, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. (2) First full paragraph.

(a) Line 29, the reference, “section II.G.8.” is corrected to read “section II.F.8.”. (b) Line 36, “section II.G.8.” is corrected to read “section II.F.8.”. E.

Third column, first full paragraph. (1) Lines 4 and 5, the reference, “section II.G.9.b.” is corrected to read section “II.F.9.b.”. (2) Line 13, the reference “section II.G.9.b.” is corrected to read “section II.F.9.b.”.

First column, first full paragraph. (1) Line 7, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. (2) Line 13, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”.

C. Second column, first partial paragraph. (1) Line 20, the reference, “section II.G.9.c.” is corrected to read “section II.F.9.c.”.

(2) Line 33, the reference, “section II.G.9.c.” is corrected to read “section II.F.9.c.”. 41. On page 58610.

A. Second column, last partial paragraph, lines 1 and 16, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. B.

Third column, first partial paragraph. (1) Line 6, the reference, “section II.G.1.a.(2).b.” is corrected to read “section II.F.1.a.(2)b.” (2) Lines 20 and 21, the reference, “section II.G.1.a.(2)b.” is corrected to read “section II.F.1.a.(2)b.”. 42.

On page 58716, first column, second full paragraph, lines 14 through 19, the phrase, “with 03HK0MZ (Insertion of stimulator lead into right internal carotid artery, open approach) or 03HL0MZ (Insertion of stimulator lead into left internal carotid artery, open approach)” is corrected to read “with 03HK3MZ (Insertion of stimulator lead into right internal carotid artery, percutaneous approach) or 03HL3MZ (Insertion of stimulator lead into left internal carotid artery, percutaneous approach).”. 43. On page 58717, first column, first partial paragraph, line 5, the phrase, “with 03HK0MZ or 03HL0MZ” is corrected to read “with 03HK3MZ or 03HL3MZ.” 44.

On page 58719. A. First column, last partial paragraph, line 12, the reference, “section II.G.8.” is corrected to read “section II.F.8.”.

B. Third column, first partial paragraph, line 15, the reference, “section II.G.8.” is corrected to read “section II.F.8.”. 45.

On page 58721, third column, second full paragraph, line 17, the phrase, “XW03366 or XW04366” is corrected to read “XW033A6 (Introduction of cefiderocol anti-infective into peripheral vein, percutaneous approach, new technology group 6) or XW043A6 (Introduction of cefiderocol anti-infective into central vein, percutaneous approach, new technology group 6).”. 46. On page 58723, second column, first partial paragraph, line 14, the phrase, “procedure codes XW03366 or XW04366” is corrected to read “procedure codes XW033A6 or XW043A6.” 47.

On page 58734, third column, second full paragraph, line 26, the reference, “section II.G.9.b.” is corrected to read “section II.F.9.b.”. 48. On page 58736, second column, first full paragraph, line 27, the reference, “II.G.9.b.” is corrected to read “II.F.9.b.”.

49. On page 58737, third column, first partial paragraph, line 5, the reference, “section II.G.1.d.” is corrected to read “section II.F.1.d.”. 50.

On page 58739, third column, first full paragraph, line 21, the reference, “section II.G.8.” is corrected to read “section II.F.8.”. 51. On page 58741, third column, second partial paragraph, line 17, the reference, “section II.G.9.a.” is corrected to read “section II.F.9.a.”.Start Printed Page 78754 52.

On page 58768, third column, first partial paragraph, line 3, the figure “0.8465” is corrected to read “0.8469”. 53. On page 58842, second column, first full paragraph, lines 19 and 35, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”.

54. On page 58876, first column, first full paragraph, line 18, the reference, “section II.E.” is corrected to read “section II.D.”. 55.

On page 58893, first column, second full paragraph, line 5, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 56. On page 58898, third column, first full paragraph, line 9, the reference, “section II.E.” is corrected to read “section II.D.”.

57. On page 58899, third column, first full paragraph, line 24, the reference, “section II.E.1.” is corrected to read “section II.D.1.”. 58.

On page 58900, first column, third paragraph, line 26, the reference, “section II.E.” is corrected to read “section II.D.”. 59. On page 59006, second column, second full paragraph.

A. Line 4, the regulation citation, “(c)(3)(i)” is corrected to read “(c)(1)(ii)”. B.

Line 12, the regulation citation, “(c)(3)(ii)” is corrected to read “(c)(2)(ii)”. C. Lines 17 and 18, the phrase “charged to an uncollectible receivables account” is corrected to read, “recorded as an implicit price concession”.

B. Correction of Errors in the Addendum 1. On page 59031.

A. First column. (1) First full paragraph, line 7, the reference, “section “II.G.” is corrected to read “section II.E.”.

(2) Second partial paragraph, lines 26 and 27, the reference, “section II.G.” is corrected to read “section II.E.”. B. Second column, first partial paragraph.

(1) Line 5, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. (2) Line 22, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 2.

On page 59034, at the top of the page, the table titled “Summary of FY 2021 Budget Neutrality Factors” is corrected to read. 3. On page 59037, second column.

A. First full paragraph, line 4, the phrase “(estimated capital outlier payments of $429,431,834 divided by (estimated capital outlier payments of $429,431,834 plus the estimated total capital Federal payment of $7,577,697,269))” is corrected to read. €œ(estimated capital outlier payments of $429,147,874 divided by (estimated capital outlier payments of $429,147,874 plus the estimated total capital Federal payment of $7,577,975,637))” b.

Last partial paragraph, line 8, the reference, “section II.E.2.b.” is corrected to read “section II.D.2.b.”. 4. On page 59039, third column, last paragraph, lines 18 and 19, the phrase “9,519,120 cases” is corrected to “9,221,466 cases”.

Top of the page, third column. (1) First partial paragraph. (a) Line 9, the figure “$29,051” is corrected to read “$29,064”.

(b) Line 11, the figure “$4,955,813,978” is corrected to read “$4,951,017,650” (c) Line 12, the figure “$92,027,177,037” is corrected to read “$91,937,666,182”. (d) Line 26, the figure “$29,108” is corrected to read “$29,121”. Start Printed Page 78755 (e) Line 33, the figure “$29,051” is corrected to read “$29,064”.

(2) First full paragraph, line 11, the phrase “threshold for FY 2021 (which reflects our” is corrected to read “threshold for FY 2021 of $29,064 (which reflects our”. B. Bottom of the page, the untitled table is corrected to read as follows.

6. On pages 59042, the table titled “CHANGES FROM FY 2020 STANDARDIZED AMOUNTS TO THE FY 2021 STANDARDIZED AMOUNTS” is corrected to read as follows. Start Printed Page 78756 7.

(1) Second full paragraph, line 43, the figure “0.9984” is corrected to read “0.9983”. (2) Last paragraph. (a) Line 17, the figure “0.9984” is corrected to read “0.9983”.

(b) Line 18, the figure “0.9984” is corrected to read “0.9983”. B. Third column.

(1) Third paragraph, line 4, the figure “0.9984” is corrected to read “0.9983”. (2) Last paragraph, line 9, the figure “$466.22” is corrected to read “$466.21”. 8.

On page 59048. A. The chart titled “COMPARISON OF FACTORS AND ADJUSTMENTS.

FY 2020 CAPITAL FEDERAL RATE AND THE FY 2021 CAPITAL FEDERAL RATE” is corrected to read as follows. b. Lower half of the page, first column, second full paragraph, last line, the figure “$29,051” is corrected to read “$29,064”.

9. On page 59057, second column, second full paragraph. A.

Line 11, the figure “$29,051” is corrected to read “$29,064”. B. Last line, the figure “$29,051” is corrected to read “$29,064”.

10. On page 59060, the table titled “TABLE 1A—NATIONAL ADJUSTED OPERATING STANDARDIZED AMOUNTS, LABOR/NONLABOR (68.3 PERCENT LABOR SHARE/31.7 PERCENT NONLABOR SHARE IF WAGE INDEX IS GREATER THAN 1) —FY 2021” is corrected to read as follows. 11.

On page 59061, top of the page. A. The table titled “TABLE 1B—NATIONAL ADJUSTED OPERATING STANDARDIZED AMOUNTS, LABOR/NONLABOR (62 PERCENT LABOR SHARE/38 PERCENT NONLABOR SHARE IF WAGE INDEX IS LESS THAN OR EQUAL TO 1)—FY 2021” is corrected to read as follows.

Start Printed Page 78757 b. The table titled “Table 1C—ADJUSTED OPERATING STANDARDIZED AMOUNTS FOR HOSPITALS IN PUERTO RICO, LABOR/NONLABOR (NATIONAL. 62 PERCENT LABOR SHARE/38 PERCENT NONLABOR SHARE BECAUSE WAGE INDEX IS LESS THAN OR EQUAL TO 1)—FY 2021” is corrected to read as follows.

c. The table titled “TABLE 1D—CAPITAL STANDARD FEDERAL PAYMENT RATE—FY 2021” is corrected to read as follows. C.

Corrections of Errors in the Appendices 1. On page 59062, first column, second full paragraph. A.

Line 9, the reference “sections II.G.5. And 6.” is corrected to read “sections II.F.5. And 6.” b.

Line 11, the reference “section II.G.6.” is corrected to read “section II.F.6.” 3. On page 59064, third column, second full paragraph, last line, the figures “2,049, and 1,152” are corrected to read “2,050 and 1,151”. 4.

On page 59065 through 59069, the table and table notes for the table titled “TABLE I.—IMPACT ANALYSIS OF CHANGES TO THE IPPS FOR OPERATING COSTS FOR FY 2021” are corrected to read as follows. Start Printed Page 78758 Start Printed Page 78759 Start Printed Page 78760 Start Printed Page 78761 Start Printed Page 78762 5. On page 59070.

(a) Line 1, the reference, “section II.E.” is corrected to read “section II.D.”. (b) Line 11, the section reference “II.G.” is corrected to read “II.E.”. (2) Fourth full paragraph, line 6, the figure “0.99798” is corrected to read “0.997975”.

B. Third column, first full paragraph, line 26, the figure “1.000426” is corrected to read “1.000447”. 6.

On page 59071, lower half of the page. A. First column, third full paragraph, line 6, the figure “0.986583” is corrected to read “0.986616”.

B. Second column, second full paragraph, line 5, the figure “0.993433” is corrected to read “0.993446”. C.

Third column, first partial paragraph, line 2, the figure “0.993433” is corrected to read “0.993446”. 7. On page 59073 and 59074, the table titled “TABLE II.—IMPACT ANALYSIS OF CHANGES FOR FY 2021 ACUTE CARE HOSPITAL OPERATING PROSPECTIVE PAYMENT SYSTEM (PAYMENTS PER DISCHARGE)” is corrected to read as follows.

Start Printed Page 78763 Start Printed Page 78764 Start Printed Page 78765 8. On page 59074, bottom of the page, second column, last partial paragraph, line 1, the reference “section II.G.9.b.” is corrected to read “section II.F.9.b.”. 9.

(1) First full paragraph, line 1, the reference “section II.G.9.c.” is corrected to read “section II.F.9.c.”. (2) Last partial paragraph. (i) Line 1, the reference “section II.G.4.” is corrected to read “section II.F.4.”.

(ii) Line 11, the reference “section II.G.4.” is corrected to read “section II.F.4.”. B. Third column.

(1) First full paragraph. (i) Line 1, the reference “sections II.G.5. And 6.” is corrected to read “sections II.F.5.

And 6.”. (ii) Line 12, the reference “section II.H.6.” is corrected to read “section II.F.6.”. (2) Last paragraph, line 1, the reference “section II.G.6.” is corrected to read “section II.F.6.”.

10. On page 59076, first column, first partial paragraph, lines 2 and 3, the reference “section II.G.9.c.” is corrected to read “section II.F.9.c.”. 11.

On pages 59077 and 59078 the table titled “Modeled Uncompensated Care Payments for Estimated FY 2021 DSHs by Hospital Type. Uncompensated Care Payments ($ in Millions)—from FY 2020 to FY 2021” is corrected to read as follows. Start Printed Page 78766 Start Printed Page 78767 12.

On pages 59078 and 59079 in the section titled “Effects of the Changes to Uncompensated Care Payments for FY 2021”, the section's language (beginning with the phrase “Rural hospitals, in general, are projected to experience” and ending with the sentence “Hospitals with greater than 65 percent Medicare utilization are projected to receive an increase of 0.62 percent.”) is corrected to read as follows. €œRural hospitals, in general, are projected to experience larger decreases in uncompensated care payments than their urban counterparts. Overall, rural hospitals are projected to receive a 7.19 percent decrease in uncompensated care payments, while urban hospitals are projected to receive a 0.29 percent decrease in uncompensated care payments.

However, hospitals in large urban areas are projected to receive a 0.75 percent increase in uncompensated care payments and hospitals in other urban areas a 1.94 percent decrease. By bed size, smaller rural hospitals are projected to receive the largest decreases in uncompensated care payments. Rural hospitals with 0-99 beds are projected to receive a 9.46 percent payment decrease, and rural hospitals with 100-249 beds are projected to receive a 7.44 percent decrease.

These decreases for smaller rural hospitals are greater than the overall hospital average. However, larger rural hospitals with 250+ beds are projected to receive a 7.64 percent payment increase. In contrast, the smallest urban hospitals (0-99 beds) are projected to receive an increase in uncompensated care payments of 2.61 percent, while urban hospitals with 100-249 beds are projected to receive a decrease of 1.05 percent, and larger urban hospitals with 250+ beds are projected to receive a 0.18 percent decrease in uncompensated care payments, which is less than the overall hospital average.

By region, rural hospitals are expected to receive larger than average decreases in uncompensated care payments in all Regions, except for rural hospitals in the Pacific Region, which are projected to receive an increase in uncompensated care payments of 9.14 percent. Urban hospitals are projected to receive a more varied range of payment changes. Urban hospitals in the New England, the Middle Atlantic, West South Central, and Mountain Regions, as well as urban hospitals in Puerto Rico, are projected to receive larger than average decreases in uncompensated care payments, while urban hospitals in the South Atlantic, East North Central, East South Central, West North Central, and Pacific Regions are projected to receive increases in uncompensated care payments.

By payment classification, hospitals in urban areas overall are expected to receive a 0.18 percent increase in uncompensated care payments, with hospitals in large urban areas expected to see an increase in uncompensated care payments of 1.15 percent, while hospitals in other urban areas are expected to receive a decrease of 1.60 percent. In contrast, hospitals in rural areas are projected to receive a decrease in uncompensated care payments of 3.18 percent. Nonteaching hospitals are projected to receive a payment decrease of 0.99 percent, teaching hospitals with fewer than 100 residents are projected to receive a payment decrease of 0.83 percent, and teaching hospitals with 100+ residents have a projected payment decrease of 0.41 percent.

All of these decreases are consistent with the overall hospital average. Proprietary and government hospitals are projected to receive larger than average decreases of 2.42 and 1.14 percent respectively, while voluntary hospitals are expected to receive a payment decrease of 0.03 percent. Hospitals with less than 50 percent Medicare utilization are projected to receive decreases in uncompensated care payments consistent with the overall hospital average percent change, while hospitals with 50 to 65 percent Medicare utilization are projected to receive a larger than average decrease of 4.12 percent.

Hospitals with greater than 65 percent Medicare utilization are projected to receive an increase of 0.80 percent.” 13. On page 59085, lower half of the page, second column, last partial paragraph, line 20, the section reference “II.H.” is corrected to read “IV.H.”. 14.

On pages 59092 and 59093, the table titled “TABLE III.—COMPARISON OF TOTAL PAYMENTS PER CASE [FY 2020 PAYMENTS COMPARED TO FINAL FY 2021 PAYMENTS] is corrected to read as. Start Printed Page 78768 Start Printed Page 78769 Start Signature Wilma M. Robinson, Deputy Executive Secretary to the Department, Department of Health and Human Services.

End Signature End Supplemental Information BILLING CODE 4120-01-PBILLING CODE 4120-01-CBILLING CODE 4120-01-PBILLING CODE 4120-01-CBILLING CODE 4120-01-PBILLING CODE 4120-01-CBILLING CODE 4120-01-P[FR Doc. 2020-26698 Filed 12-1-20. 4:15 pm]BILLING CODE 4120-01-C.

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RESEARCH

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My research is interdisciplinary and multi-level, and it coalesces around the broad areas of strategy, technology and innovation. Strategic innovation is the process by which an organization reinvents or redesigns its strategy to drive change, enhance value creation across stakeholders, and, ultimately, to sustain itself. Thus, it focuses on the art, science, and process of building, implementing, and constantly evaluating strategy in organizational settings. It integrates traditional approaches to strategic management, with the tools, frameworks, and values related to design thinking and innovation. As my record indicates, most of my research focuses specifically on the way information technology is used in organizational settings to help organizations achieve competitive advantage. I look toward the future, it is at this intersection and integration of disciplines and “schools of thought” that great opportunity for impact and contribution exists.

My passion is to understand how organizations can improve their capacity to innovate, change, and reinvent themselves through a more effective strategic innovation process, and re-conceptualizing the role of information technology. By developing and cultivating their strategic innovation capability, organizations will sustain themselves and create greater value for a broader range of stakeholders. While using theories and frameworks from diverse disciplines (strategy, social and cognitive psychology, innovation management, information systems), I examine how strategy and innovation occur within individuals, teams, organizations, inter-firm relationships, and even value chains and how it ultimately impacts value creation for diverse stakeholders. In doing so, I explore strategic innovation in both established and entrepreneurial firms and at multiple levels of analysis (network, inter-firm, organizational, and individual).

I resist reductionism when studying strategic innovation, and have a strong bias toward holistic and systems orientations to understand organizational systems and the inherently complex process of strategic innovation. In most cases, I explore these issues through in-depth, longitudinal qualitative case studies and have a strong action research orientation, though I believe strongly in the power of both qualitative and quantitative techniques if adequately applied. My current and future research streams are mentioned below.

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  1. Strategy Making Processes – In this stream I investigate the process of strategy making. and utilize an action research approach to examine it in its real world context and contribute to our collective understanding of how we can do it better.
  2. Innovation Management Processes – I focus specifically on design thinking and also utilize an action research methodology to contribute to our collective understanding of its efficacy and explore methods for making it even more useful in organizational settings.
  3. Strategic Innovation – This stream focuses on the linkages between strategy making and innovation management in organizational settings.


PUBLICATIONS

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Lewis, M., Hayward, S., Baxter, R., & Coffey, B.  “Stakeholder Enrolment and Business Network Formation: A Process Perspective on Technology Innovation.” International Journal of Technoentrepeneurship. Forthcoming.

Hornyay, R., Lewis, M., & Sankaranarayanan, B. “Radio Frequency Identification–Enabled Capabilities in a Healthcare Context: An Exploratory Study.” Health Informatics Journal, vol. 22, no. 3, 562–578.

Lewis, M., Hayward, S., & Kasi, V. 2015. “The Peril of One: Architecting a Sourcing Strategy at Edwards Paper Co.” Business Case Journal, vol. 22, no. 1.

Lewis, M., & Elevar, R. 2014. “Managing and Fostering Creativity: An Integrated Approach.” International Journal of Management Education, vol. 12, no. 3, 235–247.

Lewis, M., Hayward, S., & Kasi, V. 2013. “The Hazards of Sole Sourcing Relationships: Challenges, Practices, and Insights.” Advanced Management Journal, vol. 78, no. 3, 28–37.

Lewis, M., Baxter, R., & Pouder, R. 2013. “The Development and Deployment of Electronic Personal Health Records: A Strategic Positioning Perspective.” Journal of Health Organization and Management, vol. 27, no. 5, 577–600.

Lewis, M., Sankaranarayanan, B., & Rai, A. 2012. “Technology and Context: A Sociomaterial Perspective on Technology Enabled Change.” Academy of Management Annual Meeting Proceedings. 

Lewis, M. 2011. “An Integrated Approach to Teaching the Capstone Strategic Management Course: A Left- and Right-Brained Approach.” Business Education Innovation Journal, vol. 3, no. 2, 66–72.

Lewis, M., Mathiassen, L., & Rai, A. 2011. “Scalable Growth in IT-enabled Service Provisioning: A Sensemaking Perspective.” European Journal of Information Systems, vol. 20, no. 3, 285–302.

Gogan, J., & Lewis, M. 2011. “Peak Experiences and Strategic IT alignment at Vermont Teddy Bear.” Journal of Information Technology Teaching Cases.  No. JIT031-PDF-ENG

Rai, A., Venkatesh, V., Bala, H., & Lewis, M. 2010. “Transitioning to a Modular Enterprise Architecture: Drivers, Constraints, and Actions.” Management Information Systems Quarterly Executive, vol. 9, no. 2.

Lewis, M., Hornyak, R., Patnayakuni, R., & Rai, A. 2008. “Business Network Agility for Global Demand–Supply Synchronization: A Comparative Case Study in the Apparel Industry.” Journal of Global Information Technology Management, vol. 11, no. 2, 5–29.

Lewis, M., Young, B., Mathiassen, L., Rai, A., & Welke, R. 2007. “Business Process Innovation Based on Stakeholder Perceptions.” Information, Knowledge, and Systems Management, vol. 6, nos. 1-2, 7–27.

Lewis, M., Rai, A., Forquer, D., & Quinter, D. 2007. UPS and HP: Value Creation Through Supply Chain Partnerships. London, ON: Ivey Publishing. No. 907D02-PDF-ENG (Over 8,000 copies sold to date.)

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Lewis, M., Rai, A., & Mathiassen, L. 2016. The Enactment of Interorganizational Relational Strategy and the Dynamics of Governance. Academy of Management National Meeting, Anaheim, CA.

Lewis, M., & Pouder, R. 2015. Highland Brewing Company: Nipping at our Heels and Sitting on our Heads. North American Case Research Association Annual Conference, Orlando, FL.

Lewis, M., Hayward, S., & Baxter. R. 2013. Architecting a Sourcing Strategy: The Peril of One and the Downside of Many at Atlantico. North American Case Research Association Annual Conference, Victoria, BC.

Lewis, M., Sankaranarayanan, B., & Rai, A. 2012. Technology and Context: A Sociomaterial Perspective on Technology Enabled Change. Academy of Management National Meeting, Boston, MA.

Lewis, M., Sankaranarayanan, B., & Rai, A. 2011. RFID-Enabled Innovation and Its Impact on Healthcare Process Performance: A Multilevel Analysis. International Conference on Information Systems, St. Louis, MO.

Lewis, M., & Baxter, R. 2010. Negotiating the Pack: The Development and Deployment of Electronic Personal Health Records. TIM Track, Academy of Management National Meeting, Montréal, QC.

Gogan, J., Lewis, M., Sankaranaryanan, B., & Johnson, E. 2010. Aiming at a Moving Target: IT Alignment in Toy Companies. European Conference on Information Systems, Perto, South Africa.

Lewis, M., Sankaranarayanan, B., & Rai, A. 2009. Exploring Transition in Healthcare Information Systems: A Process Perspective on RFID Enabled Change. 29th Annual International Conference on Information Systems, Phoenix, AZ.

Baxter, R., & Lewis, M. 2009. The Influence of Industry Structure on the Development and Deployment of a Personal Health Record System. Organizations and Society in Information Systems (OASIS) Conference, Phoenix, AZ.

Lewis, M., Sankaranarayanan, B., & Rai, A. 2009. RFID-Enabled Process Capabilities and Their Impacts on Healthcare Process Performance: A Multilevel Analysis. European Conference on Information Systems, Verona, Italy.

Lewis, M., Mathiassen, L., & Rai, A. 2009. Developing IS-Enabled Capabilities for a Vendor: A Case Study. Americas Conference on Information Systems, San Francisco, CA.

Lewis, M., & Rai, A. 2007. Building Sustainable Partnerships. MISQ-Executive Workshop.

Lewis, M. 2005. Sensemaking in Strategic Outsourcing Partnerships: A Multilevel Investigation of IT enabled Dynamic Capabilities. Research Poster in the IFIP TC 8 WG 8.6 International Working Conference Notebook, Atlanta, GA.

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Lewis, M., & Rai, A. 2006. Building Sustainable Partnerships: Ensuring Your Supply Chain Partnerships are Built to Last. Supply Chain Strategy, MIT.

Rai, A., Sambamurthy, V., & Lewis, M. 2002. Adaptive Logistics and Transportation. SAP Sponsored Thought Leadership Forum on Adaptive Supply Chain Networks.

Rai, A., Ruppel, C., & Lewis, M. 2002. Sense and Respond. SAP Sponsored Thought Leadership Forum on Adaptive Supply Chain Networks.

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Lewis, M., Hornyak, R., & Pouder, R. 2016. Highland Brewing Company: A Case of Product and Experience Design. Craft Beverages and Tourism, Volume 1: The Rise of Breweries and Distilleries in the United States. Forthcoming.

 



COURSES

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AppLab is multidisciplinary course that uses design thinking to solve real world problems. It is team taught with a diverse group of faculty across the university and draws students from an equally diverse set of disciplinary backgrounds. It his highly experiential, problem based, and adopts a action learning pedagogy. Click here for course brochure and click here for press related to AppLab.

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I teach Strategic Management by integrating traditional strategic management frameworks and design thinking. The traditional strategic management frameworks are useful for helping students understand what strategy is and for assessing “as-is” states of organizations, but in my mind it falls short when helping to guide the creation of strategic priorities, initiatives, and measures (that move beyond incremental adjustments) as part of a strategic planning process. Therefore, to fill this gap, I utilize design thinking in the formulation stages to support ideation and support implementation efforts. Within strategic management I teach the following courses:

  • MBA 5750 – At the graduate level I push much of the content online and focus class time on the class project. Students are divided into teams and have an external client for which they are responsible for developing a strategic plan.
  • MGT 4750 – At the Undergraduate level I divide the course in two halves. The first focuses on learning the traditional strategic management frameworks. The second half focuses on applying the frameworks to a real life strategic planning project.

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This course explores individual level factors that can impede and enhance creativity, and then does a deep dive on the design thinking process. We conclude with a short module on the impact of the organizational environment for supporting design oriented work. Like most of my classes, this is also centered on a real world project with external clients.

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  • Managerial Decision Making
  • Introduction to Information Systems


CONSULTING

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My consulting is delivered through Trailhead Design Co. Trailhead’s purpose is to help organizations achieve Peak Performance by integrating innovation and strategy. We do this by helping you drive innovation throughout your organization and carve out a unique position in your industry to create competitive advantage. This integration of innovation and strategy leads to a powerful engine that drives sustainable growth. To achieve this, we focus on two key practice areas:

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Innovation Workshops: Our innovation workshops focus on helping you build the internal capabilities to continuously innovate. We offer them at three levels:

  • Design Thinking- At the process level we focus on design thinking, a problem framing and solving process that drives innovation. If we can help everyone in your organization learn design process and share a common vocabulary for innovation, great things can happen. Click here for our current design thinking workshop.
  • Innovative Environment – Great processes need to be embedded in organizational environment that support them. So we work with organizations to evaluate and then enhance their culture, organizational design, and leadership practices through our Innovative Environment offering.
  • Personal Mastery – Innovation is hard work, organizations need individuals that understand their unique role in enabling innovation to occur. So our third area of focus relates to personal mastery, or helping individuals develop the capacities to become positive change makers in their organizations.

Innovation Consulting:

  • Design Studio – Our design studio offering takes the hard work of design and innovation off of your shoulders. Come to us with a design challenge that you simply don’t have bandwidth to tackle internally, and we will assemble a diverse team of experts to deliver solutions at a fraction of the cost of larger design firms.

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Strategy Workshop: Our strategy workshop focuses on helping you build internal strategic planning capabilities so you can drive the process yourself, continuously.

  • Strategic Planning – This workshop teaches a novel approach to strategic planning that integrates traditional strategic planning frameworks with design thinking. Doing so helps clients challenge the status quo and discover novel ways to position themselves in their competitive industries, respond to environment changes, and create value for all stakeholders. The process culminates with clearly defined strategic priorities, initiatives, and measures to help your organization achieve Peak Performance.

Strategy Consulting: Let’s face it. You are busy. In this offering we do the heavy lifting. Where the most renowned strategic consultancies have MBAs, our team generally has PhDs. Yet, given lower overhead, we work for a fraction of the cost.

  • Strategy Consulting – We collect the data, we analyze and interpret it, and we formulate into a set of actionable priorities, initiates, and measures that help your company move forward. Of course, we do this while working side-by-side with you. We are experts in the process, in collecting and analyzing data to generate important insights, and framing it in actionable ways so you can move forward. You are experts in your business. Let’s work together.

Trailhead’s website is currently underdevelopment and will go live in Summer, 2017. Until then, contact me at markolewis@gmail.com for more information. We would love to help your organization become alive again, by enhancing its capacity to innovate and positioning it for continued success!

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