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Start Preamble Centers for Disease Control and Prevention (CDC), Cialis coupons and discounts Department of Health and Human Services viagra 100 (HHS). Notice with comment period. The Centers viagra 100 for Disease Control and Prevention (CDC), in the Department of Health and Human Services (HHS), as part of its continuing effort to reduce public burden, invites the general public and other federal agencies to take this opportunity to comment on proposed and/or continuing information collections, as required by the Paperwork Reduction Act of 1995. This notice invites comment on a proposed information collection project titled Preferences for Longer-Acting Preexposure Prophylaxis (LA-PrEP) Methods Among Persons in U.S.

Populations at viagra 100 Highest Need. A Discrete Choice Experiment. The proposed project is designed to viagra 100 understand preferences for LA-PrEP products for HIV prevention among potential users and providers. CDC must receive written comments on or before May 2, 2022.

You may submit comments, identified by Docket No. CDC-2022-0031, by either viagra 100 of the following methods. • Federal eRulemaking Portal. Regulations.gov.

Follow the instructions for submitting comments. • Mail. Jeffrey M. Zirger, Information Collection Review Office, Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS H21-8, Atlanta, Georgia 30329.

Instructions. All submissions received must include the agency name and Docket Number. CDC will post, without change, all relevant comments to regulations.gov. Please note.

Submit all comments through the Federal eRulemaking portal (regulations.gov) or by U.S. Mail to the address listed above. Start Further Info To request more information on the proposed project or to obtain a copy of the information collection plan and instruments, contact Jeffrey M. Zirger, Information Collection Review Office, Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS H21-8, Atlanta, Georgia 30329.

End Further Info End Preamble Start Supplemental Information Under the Paperwork Reduction Act of 1995 (PRA) (44 U.S.C. 3501-3520), federal agencies must obtain approval from the Office of Management and Budget (OMB) for each collection of information they conduct or sponsor. In addition, the PRA also requires federal agencies to provide a 60-day notice in the Federal Register concerning each proposed collection of information, including each new proposed collection, each proposed extension of existing collection of information, and each reinstatement of previously approved information collection before submitting the collection to OMB for approval. To comply with this requirement, we are publishing this notice of a proposed data collection as described below.

OMB is particularly interested in comments that will help. 1. Evaluate whether the proposed collection of information is necessary for the proper performance of the functions of the agency, including whether the information will have practical utility. 2.

Evaluate the accuracy of the agency's estimate of the burden of the proposed collection of information, including the validity of the methodology and assumptions used. 3. Enhance the quality, utility, and clarity of the information to be collected. 4.

Minimize the burden of the collection of information on those who are to respond, including through the use of appropriate automated, electronic, mechanical, or other technological collection techniques or other forms of information technology, e.g., permitting electronic submissions of responses. And 5. Assess information collection costs. Proposed Project Preferences for Longer-Acting Preexposure Prophylaxis (LA-PrEP) Methods Among Persons in U.S.

Populations at Highest Need. A Discrete Choice Experiment—New—National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC). Background and Brief Description The 2022-2025 National HIV/AIDS Strategy includes a goal of increasing pre-exposure prophylaxis (PrEP) coverage to 50 percent among persons with indications, from a 2017 baseline of 13.2 percent. Despite successes in development and scale up of daily oral PrEP as a biomedical HIV prevention product, studies consistently show obstacles to its uptake and continuation.

The Centers for Disease Control and Prevention (CDC) and its partners must engage in early planning for the implementation of longer-acting PrEP (LA-PrEP) agents to help achieve the U.S. Ending the HIV Epidemic (EHE) goal of reducing incident HIV s by 90 percent by 2030. Understanding providers' and priority populations' preferences for different LA-PrEP agents, and perceived advantages and disadvantages of each product, will be critical to estimating future uptake and use of the various products that are recently or soon likely to become available for prescription. The goal of this study is to understand preferences for LA-PrEP products for HIV prevention among potential users and providers, including product characteristics and other service delivery factors that may facilitate or hinder future uptake of these products.

In cooperation with partners, CDC will conduct a discrete choice experiment (DCE) among providers and potential users of LA-PrEP products to elicit their preferences for characteristics of LA-PrEP and delivery programs to maximize uptake of LA-PrEP among people in need of HIV prevention methods. Results from this experiment will be used to identify factors key to adoption and implementation of each product and increase implementation efficiency by identifying strategies to support decision making and address potential challenges. The study design is a cross-sectional, online survey comprised of a DCE and additional questions to directly elicit participant preferences and gather data on socioeconomic, behavioral, and attitudinal factors. DCE methods are based on the principle that products or Start Printed Page 11446 services are evaluated through their multiple features or `attributes,' and that an individual's choice of a product or service is a function of the utility of each attribute option or `level.' Attributes and their corresponding levels are chosen to represent the features of medications, devices, and healthcare services that are relevant to a healthcare decision.

The proposed information collection will include two separate DCE surveys. One for priority populations and one for clinicians. The survey uses an experimental design to combine levels from each attribute into hypothetical product profiles and to pair profiles into choice tasks. The experimental design will be split into several blocks or versions.

Each equally sized block will have 8-12 questions, and questions will not be repeated across blocks. Participants will be randomly assigned to a block and will see only one block when completing the survey instrument. The study's target population includes persons ages 18 and older who either (1) prescribe PrEP or (2) are in the following priority population groups selected because they have the highest rates of HIV acquisition and are in need for HIV prevention services. Gay, bisexual, and other men who have sex with men subdivided by race/ethnicity.

○ Black/African American, ○ Hispanic/Latino, or ○ White. Black/African American heterosexual persons subdivided by biological sex. ○ Men or ○ Women. Transgender women.

And Persons who inject drugs. To be eligible for the study, potential participants in each of the priority population groups must be 18 years of age or older, living without HIV, and meet the U.S. Public Health Service (USPHS) indications for offering PrEP as described in the 2021 USPHS Clinical Practice Guidelines. The study sample will be recruited from cities with high numbers of annual HIV diagnoses within the 57 priority jurisdictions identified as part of the EHE initiative.

Participants will be randomly assigned to a block when they are sent their unique DCE survey link and will only complete the set of choice tasks in that block. Throughout the study, we will closely monitor recruitment and data collection to ensure that screening criteria are being met, key demographic groups are adequately represented, and survey completion rates are acceptable. Participation is voluntary. For this study, CDC intends to screen approximately 9,200 participants and enroll 1,840 participants.

CDC estimates that approximately 15 percent of enrolled participants will be removed from the analysis due to fraud or incomplete data, resulting in a final analysis sample size of 1,600 participants. At 25 minutes per survey and 10 minutes per combined screening and consent, CDC requests approval for an estimated 2,341 annualized burden hours. There are no costs to respondents other than their time. Estimated Annualized Burden Hours(Type of) respondentsForm nameNumber of respondentsNumber of responses per respondentAverage burden per response (in hours)Total burden (in hours)Black/African American, Hispanic/Latino, or White men who are gay, bisexual or have sex with men, ages 18+ in the United StatesScreening &.

Consent Survey3,450 6901 110/60 25/60587 290Black/African American Heterosexual Cisgender Men or Women, ages 18+, in the United StatesScreening &. Consent Survey2,300 4601 110/60 25/60391 194Transgender Women, ages 18+, in the United StatesScreening &. Consent Survey1,150 2301 110/60 25/60196 97Persons who inject drugs, ages 18+, in the United StatesScreening &. Consent Survey1,150 2301 110/60 25/60196 97Clinical providers who prescribe PrEP, in the United StatesScreening &.

Consent Survey1,150 2301 110/60 25/60196 97Total2,341 Start Signature Jeffrey M. Zirger, Lead, Information Collection Review Office, Office of Scientific Integrity, Office of Science, Centers for Disease Control and Prevention. End Signature End Supplemental Information [FR Doc. 2022-04190 Filed 2-28-22.

8:45 am]BILLING CODE 4163-18-PJust under half of all rural residents are completely vaccinated against erectile dysfunction treatment, according to a Daily Yonder analysis. As of February 24, 49.8% of the total rural population was completely vaccinated, a gain of 0.8 percentage points in the past four weeks. The metropolitan vaccination rate stands at 63.7% and has risen by 1.2 percentage points in the last four weeks. Like this story?.

Sign up for our newsletter. Massachusetts led the nation in rural vaccinations, with 80% of its rural residents fully vaccinated. Arizona had the largest growth in rural vaccinations in the last month. The state increased its rural vaccination rate by 4.2 percentage points, reaching 78.4% of the rural population.

Massachusetts and Arizona were two of just four states where the rural vaccination rate was higher than the metropolitan rate. Other states in this category were Alaska and New Hampshire. Missouri ranked last in rural vaccinations at 39.2% of total population, followed by Georgia with 40.5% and Alabama at 40.8%. RelatedRepublish This Story Republish this articleYou may republish our stories for free, online or in print.

Simply copy and paste the article contents from the box below. Note, some images and interactive features may not be included here. Read our Republishing Guidelines for more information.by Tim Murphy, The Daily Yonder February 28, 2022<h1>Rural erectile dysfunction treatment Vaccination Rate Inches toward 50%</h1><p class="byline">by Tim Murphy, The Daily Yonder <br />February 28, 2022</p>. <p>!.

Function(){"use strict";window.addEventListener("message",(function(e){if(void 0!. ==e.data["datawrapper-height"]){var t=document.querySelectorAll("iframe");for(var a in e.data["datawrapper-height"])for(var r=0;r&lt;t.length;r++){if(t[r].contentWindow===e.source)t[r].style.height=e.data[&quot;datawrapper-height&quot;][a]+&quot;px&quot;}}}))}();</p><p>Just under half of all rural residents are completely vaccinated against erectile dysfunction treatment, according to a Daily Yonder analysis.</p><p>As of February 24, 49.8% of the total rural population was completely vaccinated, a gain of 0.8 percentage points in the past four weeks.</p><p>The metropolitan vaccination rate stands at 63.7% and has risen by 1.2 percentage points in the last four weeks.</p><p>Massachusetts led the nation in rural vaccinations, with 80% of its rural residents fully vaccinated.</p><p>Arizona had the largest growth in rural vaccinations in the last month. The state increased its rural vaccination rate by 4.2 percentage points, reaching 78.4% of the rural population. &nbsp;</p><p>Massachusetts and Arizona were two of just four states where the rural vaccination rate was higher than the metropolitan rate.

Other states in this category were Alaska and New Hampshire.</p><p>Missouri ranked last in rural vaccinations at 39.2% of total population, followed by Georgia with 40.5% and Alabama at 40.8%.</p></p><p>!. Function(){"use strict";window.addEventListener("message",(function(e){if(void 0!. ==e.data["datawrapper-height"]){var t=document.querySelectorAll("iframe");for(var a in e.data["datawrapper-height"])for(var r=0;r&lt;t.length;r++){if(t[r].contentWindow===e.source)t[r].style.height=e.data[&quot;datawrapper-height&quot;][a]+&quot;px&quot;}}}))}();</p><p>!. Function(){"use strict";window.addEventListener("message",(function(e){if(void 0!.

==e.data["datawrapper-height"]){var t=document.querySelectorAll("iframe");for(var a in e.data["datawrapper-height"])for(var r=0;r&lt;t.length;r++){if(t[r].contentWindow===e.source)t[r].style.height=e.data[&quot;datawrapper-height&quot;][a]+&quot;px&quot;}}}))}();</p>. <p>This <a target="_blank" href="https://dailyyonder.com/rural-vaccination-rate-inches-toward-50/2022/02/28/">article</a>. First appeared on <a target="_blank" href="https://dailyyonder.com">The Daily Yonder</a>. And is republished here under a Creative Commons license.<img src="https://i0.wp.com/dailyyonder.com/wp-content/uploads/2021/03/cropped-dy-wordmark-favicon.png?.

Fit=150%2C150&amp;ssl=1" style="width:1em;height:1em;margin-left:10px;"><img id="republication-tracker-tool-source" src="https://dailyyonder.com/?. Republication-pixel=true&post=89462&ga=UA-6858528-1" style="width:1px;height:1px;"></p>1.

Start Preamble Centers for Disease Control and Prevention (CDC), Cialis coupons and discounts Department of Health and Human Services (HHS) can you buy viagra at cvs. Notice with comment period. The Centers for Disease Control and Prevention (CDC), in the Department of Health and Human Services (HHS), as part of its continuing effort to reduce public burden, invites the general public and other federal agencies to take this opportunity to comment on proposed and/or continuing information collections, as required by can you buy viagra at cvs the Paperwork Reduction Act of 1995.

This notice invites comment on a proposed information collection project titled Preferences for Longer-Acting Preexposure Prophylaxis (LA-PrEP) Methods Among Persons in U.S. Populations at can you buy viagra at cvs Highest Need. A Discrete Choice Experiment.

The proposed project is designed to understand preferences for can you buy viagra at cvs LA-PrEP products for HIV prevention among potential users and providers. CDC must receive written comments on or before May 2, 2022. You may submit comments, identified by Docket No.

CDC-2022-0031, by either of the can you buy viagra at cvs following methods. • Federal eRulemaking Portal. Regulations.gov.

Follow the instructions for submitting comments. • Mail. Jeffrey M.

Zirger, Information Collection Review Office, Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS H21-8, Atlanta, Georgia 30329. Instructions. All submissions received must include the agency name and Docket Number.

CDC will post, without change, all relevant comments to regulations.gov. Please note. Submit all comments through the Federal eRulemaking portal (regulations.gov) or by U.S.

Mail to the address listed above. Start Further Info To request more information on the proposed project or to obtain a copy of the information collection plan and instruments, contact Jeffrey M. Zirger, Information Collection Review Office, Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS H21-8, Atlanta, Georgia 30329.

Omb@cdc.gov. End Further Info End Preamble Start Supplemental Information Under the Paperwork Reduction Act of 1995 (PRA) (44 U.S.C. 3501-3520), federal agencies must obtain approval from the Office of Management and Budget (OMB) for each collection of information they conduct or sponsor.

In addition, the PRA also requires federal agencies to provide a 60-day notice in the Federal Register concerning each proposed collection of information, including each new proposed collection, each proposed extension of existing collection of information, and each reinstatement of previously approved information collection before submitting the collection to OMB for approval. To comply with this requirement, we are publishing this notice of a proposed data collection as described below. OMB is particularly interested in comments that will help.

1. Evaluate whether the proposed collection of information is necessary for the proper performance of the functions of the agency, including whether the information will have practical utility. 2.

Evaluate the accuracy of the agency's estimate of the burden of the proposed collection of information, including the validity of the methodology and assumptions used. 3. Enhance the quality, utility, and clarity of the information to be collected.

4. Minimize the burden of the collection of information on those who are to respond, including through the use of appropriate automated, electronic, mechanical, or other technological collection techniques or other forms of information technology, e.g., permitting electronic submissions of responses. And 5.

Assess information collection costs. Proposed Project Preferences for Longer-Acting Preexposure Prophylaxis (LA-PrEP) Methods Among Persons in U.S. Populations at Highest Need.

A Discrete Choice Experiment—New—National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention (CDC). Background and Brief Description The 2022-2025 National HIV/AIDS Strategy includes a goal of increasing pre-exposure prophylaxis (PrEP) coverage to 50 percent among persons with indications, from a 2017 baseline of 13.2 percent. Despite successes in development and scale up of daily oral PrEP as a biomedical HIV prevention product, studies consistently show obstacles to its uptake and continuation.

The Centers for Disease Control and Prevention (CDC) and its partners must engage in early planning for the implementation of longer-acting PrEP (LA-PrEP) agents to help achieve the U.S. Ending the HIV Epidemic (EHE) goal of reducing incident HIV s by 90 percent by 2030. Understanding providers' and priority populations' preferences for different LA-PrEP agents, and perceived advantages and disadvantages of each product, will be critical to estimating future uptake and use of the various products that are recently or soon likely to become available for prescription.

The goal of this study is to understand preferences for LA-PrEP products for HIV prevention among potential users and providers, including product characteristics and other service delivery factors that may facilitate or hinder future uptake of these products. In cooperation with partners, CDC will conduct a discrete choice experiment (DCE) among providers and potential users of LA-PrEP products to elicit their preferences for characteristics of LA-PrEP and delivery programs to maximize uptake of LA-PrEP among people in need of HIV prevention methods. Results from this experiment will be used to identify factors key to adoption and implementation of each product and increase implementation efficiency by identifying strategies to support decision making and address potential challenges.

The study design is a cross-sectional, online survey comprised of a DCE and additional questions to directly elicit participant preferences and gather data on socioeconomic, behavioral, and attitudinal factors. DCE methods are based on the principle that products or Start Printed Page 11446 services are evaluated through their multiple features or `attributes,' and that an individual's choice of a product or service is a function of the utility of each attribute option or `level.' Attributes and their corresponding levels are chosen to represent the features of medications, devices, and healthcare services that are relevant to a healthcare decision. The proposed information collection will include two separate DCE surveys.

One for priority populations and one for clinicians. The survey uses an experimental design to combine levels from each attribute into hypothetical product profiles and to pair profiles into choice tasks. The experimental design will be split into several blocks or versions.

Each equally sized block will have 8-12 questions, and questions will not be repeated across blocks. Participants will be randomly assigned to a block and will see only one block when completing the survey instrument. The study's target population includes persons ages 18 and older who either (1) prescribe PrEP or (2) are in the following priority population groups selected because they have the highest rates of HIV acquisition and are in need for HIV prevention services.

Gay, bisexual, and other men who have sex with men subdivided by race/ethnicity. ○ Black/African American, ○ Hispanic/Latino, or ○ White. Black/African American heterosexual persons subdivided by biological sex.

○ Men or ○ Women. Transgender women. And Persons who inject drugs.

To be eligible for the study, potential participants in each of the priority population groups must be 18 years of age or older, living without HIV, and meet the U.S. Public Health Service (USPHS) indications for offering PrEP as described in the 2021 USPHS Clinical Practice Guidelines. The study sample will be recruited from cities with high numbers of annual HIV diagnoses within the 57 priority jurisdictions identified as part of the EHE initiative.

Participants will be randomly assigned to a block when they are sent their unique DCE survey link and will only complete the set of choice tasks in that block. Throughout the study, we will closely monitor recruitment and data collection to ensure that screening criteria are being met, key demographic groups are adequately represented, and survey completion rates are acceptable. Participation is voluntary.

For this study, CDC intends to screen approximately 9,200 participants and enroll 1,840 participants. CDC estimates that approximately 15 percent of enrolled participants will be removed from the analysis due to fraud or incomplete data, resulting in a final analysis sample size of 1,600 participants. At 25 minutes per survey and 10 minutes per combined screening and consent, CDC requests approval for an estimated 2,341 annualized burden hours.

There are no costs to respondents other than their time. Estimated Annualized Burden Hours(Type of) respondentsForm nameNumber of respondentsNumber of responses per respondentAverage burden per response (in hours)Total burden (in hours)Black/African American, Hispanic/Latino, or White men who are gay, bisexual or have sex with men, ages 18+ in the United StatesScreening &. Consent Survey3,450 6901 110/60 25/60587 290Black/African American Heterosexual Cisgender Men or Women, ages 18+, in the United StatesScreening &.

Consent Survey2,300 4601 110/60 25/60391 194Transgender Women, ages 18+, in the United StatesScreening &. Consent Survey1,150 2301 110/60 25/60196 97Persons who inject drugs, ages 18+, in the United StatesScreening &. Consent Survey1,150 2301 110/60 25/60196 97Clinical providers who prescribe PrEP, in the United StatesScreening &.

Consent Survey1,150 2301 110/60 25/60196 97Total2,341 Start Signature Jeffrey M. Zirger, Lead, Information Collection Review Office, Office of Scientific Integrity, Office of Science, Centers for Disease Control and Prevention. End Signature End Supplemental Information [FR Doc.

2022-04190 Filed 2-28-22. 8:45 am]BILLING CODE 4163-18-PJust under half of all rural residents are completely vaccinated against erectile dysfunction treatment, according to a Daily Yonder analysis. As of February 24, 49.8% of the total rural population was completely vaccinated, a gain of 0.8 percentage points in the past four weeks.

The metropolitan vaccination rate stands at 63.7% and has risen by 1.2 percentage points in the last four weeks. Like this story?. Sign up for our newsletter.

Massachusetts led the nation in rural vaccinations, with 80% of its rural residents fully vaccinated. Arizona had the largest growth in rural vaccinations in the last month. The state increased its rural vaccination rate by 4.2 percentage points, reaching 78.4% of the rural population.

Massachusetts and Arizona were two of just four states where the rural vaccination rate was higher than the metropolitan rate. Other states in this category were Alaska and New Hampshire. Missouri ranked last in rural vaccinations at 39.2% of total population, followed by Georgia with 40.5% and Alabama at 40.8%.

RelatedRepublish This Story Republish this articleYou may republish our stories for free, online or in print. Simply copy and paste the article contents from the box below. Note, some images and interactive features may not be included here.

Read our Republishing Guidelines for more information.by Tim Murphy, The Daily Yonder February 28, 2022<h1>Rural erectile dysfunction treatment Vaccination Rate Inches toward 50%</h1><p class="byline">by Tim Murphy, The Daily Yonder <br />February 28, 2022</p>. <p>!. Function(){"use strict";window.addEventListener("message",(function(e){if(void 0!.

==e.data["datawrapper-height"]){var t=document.querySelectorAll("iframe");for(var a in e.data["datawrapper-height"])for(var r=0;r&lt;t.length;r++){if(t[r].contentWindow===e.source)t[r].style.height=e.data[&quot;datawrapper-height&quot;][a]+&quot;px&quot;}}}))}();</p><p>Just under half of all rural residents are completely vaccinated against erectile dysfunction treatment, according to a Daily Yonder analysis.</p><p>As of February 24, 49.8% of the total rural population was completely vaccinated, a gain of 0.8 percentage points in the past four weeks.</p><p>The metropolitan vaccination rate stands at 63.7% and has risen by 1.2 percentage points in the last four weeks.</p><p>Massachusetts led the nation in rural vaccinations, with 80% of its rural residents fully vaccinated.</p><p>Arizona had the largest growth in rural vaccinations in the last month. The state increased its rural vaccination rate by 4.2 percentage points, reaching 78.4% of the rural population. &nbsp;</p><p>Massachusetts and Arizona were two of just four states where the rural vaccination rate was higher than the metropolitan rate.

Other states in this category were Alaska and New Hampshire.</p><p>Missouri ranked last in rural vaccinations at 39.2% of total population, followed by Georgia with 40.5% and Alabama at 40.8%.</p></p><p>!. Function(){"use strict";window.addEventListener("message",(function(e){if(void 0!. ==e.data["datawrapper-height"]){var t=document.querySelectorAll("iframe");for(var a in e.data["datawrapper-height"])for(var r=0;r&lt;t.length;r++){if(t[r].contentWindow===e.source)t[r].style.height=e.data[&quot;datawrapper-height&quot;][a]+&quot;px&quot;}}}))}();</p><p>!.

Function(){"use strict";window.addEventListener("message",(function(e){if(void 0!. ==e.data["datawrapper-height"]){var t=document.querySelectorAll("iframe");for(var a in e.data["datawrapper-height"])for(var r=0;r&lt;t.length;r++){if(t[r].contentWindow===e.source)t[r].style.height=e.data[&quot;datawrapper-height&quot;][a]+&quot;px&quot;}}}))}();</p>. <p>This <a target="_blank" href="https://dailyyonder.com/rural-vaccination-rate-inches-toward-50/2022/02/28/">article</a>.

First appeared on <a target="_blank" href="https://dailyyonder.com">The Daily Yonder</a>. And is republished here under a Creative Commons license.<img src="https://i0.wp.com/dailyyonder.com/wp-content/uploads/2021/03/cropped-dy-wordmark-favicon.png?. Fit=150%2C150&amp;ssl=1" style="width:1em;height:1em;margin-left:10px;"><img id="republication-tracker-tool-source" src="https://dailyyonder.com/?.

Republication-pixel=true&post=89462&ga=UA-6858528-1" style="width:1px;height:1px;"></p>1.

What should I tell my health care provider before I take Viagra?

They need to know if you have any of these conditions:

  • eye or vision problems, including a rare inherited eye disease called retinitis pigmentosa
  • heart disease, angina, high or low blood pressure, a history of heart attack, or other heart problems
  • kidney disease
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  • an unusual or allergic reaction to sildenafil, other medicines, foods, dyes, or preservatives

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Start Preamble The Department of Commerce will submit the following information collection request to the Office of Management and Budget (OMB) for review and viagra boys sports clearance in accordance with the Paperwork Read More Here Reduction Act of 1995, on or after the date of publication of this notice. We invite the general public and other Federal agencies to comment on proposed, and continuing information collections, which helps us assess the impact of our information collection requirements and minimize the public's reporting burden. Public comments were previously requested via the Federal Register on March 14, 2022 during a 60-day comment period. This notice allows for an additional 30 viagra boys sports days for public comments.

Agency. U.S. Census Bureau, Department of Commerce viagra boys sports. Title.

National Sample Survey of Registered Nurses. OMB Control Number viagra boys sports. 0607-1002. Form Number(s).

NSSRN (paper viagra boys sports questionnaire). Type of Request. Regular submission, reinstatement with changes request of a previously approved collection. Number viagra boys sports of Respondents.

37,500 Registered Nurses (RNs) and 25,000 Nurse practitioners (NPs) for a total of 62,500 respondents. Average Hours per Response. 30 minutes for RNs and viagra boys sports 33 minutes for NPs. Burden Hours.

32,500. Needs and viagra boys sports Uses. Sponsored by the U.S. Department of Health and Human Services' (HHS) Health Resources and Services Administration's (HRSA) National Center for Health Workforce Analysis (NCHWA), the National Sample Survey of Registered Nurses (NSSRN) is designed to obtain the necessary data to determine the characteristics and distribution of Registered Nurses (RNs) throughout the United States, as well as emerging patterns in their employment characteristics.

These data will provide the means for the evaluation and assessment of viagra boys sports the evolving demographics, educational qualifications, and career employment patterns of RNs. Such data have become particularly important to better understand workforce issues given the recent dynamic changes in the RN population and, the transformation of the healthcare system. The Census Bureau will request survey participation from up to 125,000 RNs using one of two modes. The first mode is a web instrument viagra boys sports (Centurion) survey.

All letters mailed to respondents will include a web link to complete the survey. The second mode is a mailout/mail back of a self-administered paper-and-pencil interviewing (PAPI) questionnaire. There will be viagra boys sports one paper questionnaire mailing. All respondents will have access to a telephone questionnaire assistance line that they will be able to get login assistance, language support, and even complete Start Printed Page 50835 the interview with a Census telephone interview agent.

The National Sample Survey of Registered Nurses is proposing one experiment for the 2022 cycle utilizing unconditional monetary incentives. For the 2022 cycle, NSSRN is proposing $5 with viagra boys sports an initial web invitation letter for 90% of the sample receiving. The intention of the monetary incentive is to test the efficacy of reducing nonresponse bias by encouraging response, that is, whether offering $5 increases response, thus reducing non-response bias, and reducing costs associated with follow-up mailings. The unconditional monetary incentive will be randomly assigned to 90% of the sample prior to data collection.

The remaining 10% of the sample will not receive an unconditional monetary incentive and will be the control viagra boys sports group. Affected Public. Nurses. Frequency viagra boys sports.

The 2022 collection is the second administration of the NSSRN. Data collection is every four years. Respondent's viagra boys sports Obligation. Voluntary.

Legal Authority. Census Authority viagra boys sports. Title 13, United States Code (U.S.C.), Section 8(b) (13 U.S.C. 8(b)).

HRSA Authority viagra boys sports. Public Health Service Act, 42 U.S.C. Section 294n(b)(2)(A) and 42 U.S.C. Section 295k(a)-(b).

This information collection request may be viewed at www.reginfo.gov. Follow the instructions to view the Department of Commerce collections currently under review by OMB. Written comments and recommendations for the proposed information collection should be submitted within 30 days of the publication of this notice on the following website www.reginfo.gov/​public/​do/​PRAMain. Find this particular information collection by selecting “Currently under 30-day Review—Open for Public Comments” or by using the search function and entering either the title of the collection or the OMB Control Number 0607-1002.

Start Signature Sheleen Dumas, Department PRA Clearance Officer, Office of the Chief Information Officer, Commerce Department. End Signature End Preamble.

Start Preamble The Department of Commerce will submit the following information collection request can you buy viagra at cvs to the Office of Management and Budget (OMB) for review and clearance in accordance with the Paperwork Reduction Act of 1995, on or after the date of publication of this notice. We invite the general public and other Federal agencies to comment on proposed, and continuing information collections, which helps us assess the impact of our information collection requirements and minimize the public's reporting burden. Public comments were previously requested via the Federal Register on March 14, 2022 during a 60-day comment period.

This notice allows for an additional can you buy viagra at cvs 30 days for public comments. Agency. U.S.

Census Bureau, can you buy viagra at cvs Department of Commerce. Title. National Sample Survey of Registered Nurses.

OMB can you buy viagra at cvs Control Number. 0607-1002. Form Number(s).

NSSRN (paper questionnaire) can you buy viagra at cvs. Type of Request. Regular submission, reinstatement with changes request of a previously approved collection.

Number of Respondents can you buy viagra at cvs. 37,500 Registered Nurses (RNs) and 25,000 Nurse practitioners (NPs) for a total of 62,500 respondents. Average Hours per Response.

30 minutes for RNs and 33 minutes can you buy viagra at cvs for NPs. Burden Hours. 32,500.

Needs and Uses can you buy viagra at cvs. Sponsored by the U.S. Department of Health and Human Services' (HHS) Health Resources and Services Administration's (HRSA) National Center for Health Workforce Analysis (NCHWA), the National Sample Survey of Registered Nurses (NSSRN) is designed to obtain the necessary data to determine the characteristics and distribution of Registered Nurses (RNs) throughout the United States, as well as emerging patterns in their employment characteristics.

These data will provide the means for the evaluation and assessment of the evolving demographics, educational qualifications, and can you buy viagra at cvs career employment patterns of RNs. Such data have become particularly important to better understand workforce issues given the recent dynamic changes in the RN population and, the transformation of the healthcare system. The Census Bureau will request survey participation from up to 125,000 RNs using one of two modes.

The first mode is can you buy viagra at cvs a web instrument (Centurion) survey. All letters mailed to respondents will include a web link to complete the survey. The second mode is a mailout/mail back of a self-administered paper-and-pencil interviewing (PAPI) questionnaire.

There will be can you buy viagra at cvs one paper questionnaire mailing. All respondents will have access to a telephone questionnaire assistance line that they will be able to get login assistance, language support, and even complete Start Printed Page 50835 the interview with a Census telephone interview agent. The National Sample Survey of Registered Nurses is proposing one experiment for the 2022 cycle utilizing unconditional monetary incentives.

For the 2022 cycle, NSSRN is proposing $5 with an initial web invitation letter for 90% can you buy viagra at cvs of the sample receiving. The intention of the monetary incentive is to test the efficacy of reducing nonresponse bias by encouraging response, that is, whether offering $5 increases response, thus reducing non-response bias, and reducing costs associated with follow-up mailings. The unconditional monetary incentive will be randomly assigned to 90% of the sample prior to data collection.

The remaining 10% of the can you buy viagra at cvs sample will not receive an unconditional monetary incentive and will be the control group. Affected Public. Nurses.

Frequency. The 2022 collection is the second administration of the NSSRN. Data collection is every four years.

Respondent's Obligation. Voluntary. Legal Authority.

Census Authority. Title 13, United States Code (U.S.C.), Section 8(b) (13 U.S.C. 8(b)).

HRSA Authority. Public Health Service Act, 42 U.S.C. Section 294n(b)(2)(A) and 42 U.S.C.

Section 295k(a)-(b). This information collection request may be viewed at www.reginfo.gov. Follow the instructions to view the Department of Commerce collections currently under review by OMB.

Written comments and recommendations for the proposed information collection should be submitted within 30 days of the publication of this notice on the following website www.reginfo.gov/​public/​do/​PRAMain. Find this particular information collection by selecting “Currently under 30-day Review—Open for Public Comments” or by using the search function and entering either the title of the collection or the OMB Control Number 0607-1002. Start Signature Sheleen Dumas, Department PRA Clearance Officer, Office of the Chief Information Officer, Commerce Department.

Viagra uk

Start Preamble Levitra prices in south africa Start Printed Page 66558 Centers for viagra uk Medicare &. Medicaid Services (CMS), Department of Health and Human Services viagra uk (HHS). Final rule. Correction and viagra uk correcting amendment.

This document corrects technical and typographical errors in the final rule that appeared in the August 10, 2022 Federal Register. The final viagra uk rule was titled “Medicare Program. Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year 2023 Rates. Quality Programs and Medicare viagra uk Promoting Interoperability Program Requirements for Eligible Hospitals and Critical Access Hospitals.

Costs Incurred for Qualified and Non-qualified Deferred Compensation Plans. And Changes to Hospital and Critical viagra uk Access Hospital Conditions of Participation”. Effective date. The final rule corrections viagra uk and correcting amendment are effective on November 3, 2022.

Applicability date. The final rule corrections and correcting amendment are applicable for discharges viagra uk occurring on or after October 1, 2022. Start Further Info Donald Thompson, and Michele Hudson, (410) 786-4487 or DAC@cms.hhs.gov, Operating Prospective Payment. Adina viagra uk Hersko, Adina.Hersko@cms.hhs.gov and newtech@cms.hhs.gov, New Technology Add-on Payments Issues.

Dawn Linn, dawn.linn@cms.hhs.gov, Lela Strong, lela.strong@cms.hhs.gov, and Alpha Wilson, alpha.wilson@cms.hhs.gov, Conditions of Participation (CoP) Requirements for Hospitals and Critical viagra uk Access Hospitals (CAHs) to Continue Reporting Data for erectile dysfunction treatment and Influenza After the PHE ends as Determined by the Secretary. Julia Venanzi, julia.venanzi@cms.hhs.gov, Hospital Inpatient Quality Reporting Program and Hospital Value-Based Purchasing Program—Administration Issues Ariel Cress, ariel.cress@cms.hhs.gov, Long-Term Care Hospital Quality Reporting Program—Data Reporting Issues. Jessica Warren, jessica.warren@cms.hhs.gov, viagra uk Medicare Promoting Interoperability Program. End Further Info End Preamble Start Supplemental Information I.

Background In FR Doc viagra uk. 2022-48780 of August 10, 2022 (87 FR 48780), there were a number of technical and typographical errors that are identified and corrected in this final rule correction and correcting amendment. The final rule corrections and viagra uk correcting amendment are applicable to discharges occurring on or after October 1, 2022, as if they had been included in the document that appeared in the August 10, 2022 Federal Register. II.

Summary of Errors A viagra uk. Summary of Errors in the Preamble On pages 48781, 48785, and 49313, we made typographical and technical errors in specifying certain fiscal years. On pages 49195, 49197, 49207, 49217, 49223, 49229, 49263, 49267, and 49311, we made typographical viagra uk errors in referencing a statutory citation. On page 48789, in the table of the summary of costs and benefits of certain major provisions, we are making conforming corrections to the estimates discussed in the “Update to the IPPS Payment Rates and Other Payment Policies” row resulting from the correction to the maximum new technology add-on payment for cases involving the use of DefencathTM discussed later in this section of this final rule correction and correcting amendment.

On page viagra uk 48790, in the table of the summary of costs and benefits of certain major provisions, we are making corrections to the description of the estimates discussed for the Hospital-Acquired Condition Program. On pages 48790, 49308, 49327, 49335, 49377, and 49398, we made technical and typographical errors in Federal Register citations and cross-references. On viagra uk pages 48981 through 48982, in our discussion of new medical services and technologies, we are correcting the cost per case and maximum new technology add-on payment for a case involving the use of DefencathTM. On page 49071, we made typographical errors viagra uk and an omission in our discussion of revisions to Worksheet E-4 of the hospital cost report instructions.

On page 49087, we made and are correcting a typographical error in our discussion of the Hospital Readmission Reduction Program. On pages 49095, 49106, 49129, 49248, 49266, 49283, and 49295, we made and are correcting typographical errors in viagra uk several footnotes and footnote references. On pages 49201, 49230, 49232, 49233, 49297, and 49308, in the discussion of the Hospital Inpatient Quality Reporting (IQR) Program, we are correcting inadvertent omissions as well as typographical and technical errors. On pages 49315, 49317, and 49318, in the discussion of the Long-term Care Hospital Quality Reporting Program (LTCH QRP) we are correcting several technical and viagra uk typographical errors.

On pages 49347 and 49362, in the discussion of the Medicare Promoting Interoperability Program, we made and are correcting typographical and technical errors. B. Summary of Errors in the Regulations Text On page 49410, we inadvertently made a typographical error in the paragraph numbering for a paragraph in § 482.42(f)(2). C.

Summary of Errors in the Addendum As discussed further in section II.D. Of this final rule correction and correcting amendment, 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 and made corrections for report upload errors and an update to the DSH eligibility for one provider that was inadvertently projected not DSH eligible in the final rule. Based on the March 2022 Provider Specific File's Medicaid fraction and the FY 2020 SSI fractions, this provider is projected DSH eligible for purposes of interim uncompensated care payments during FY 2023. Specifically, there were two merger updates, one update on a report upload Start Printed Page 66559 discrepancy, and one update on DSH eligibility projection.

We recalculated the total uncompensated care amount for all DSH-eligible hospitals to reflect these updates. In addition, because the Factor 3 for each hospital reflects that hospital's uncompensated care amount relative to the uncompensated care amount for all DSH hospitals, we also recalculated Factor 3 for all DSH-eligible hospitals. The hospital-specific 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.

Given the small number of updates to the information used in the calculation of Factor 3, the change to the previously calculated Factor 3 for the majority of hospitals is of limited magnitude. We note that the fixed-loss cost threshold was unchanged after these Factor 3 recalculations. (As discussed elsewhere, however, we incorporated the revised uncompensated care payment amounts into our recalculation of the FY 2023 fixed-loss threshold and related figures to reflect the use of supplemental outlier reconciliation data.) We further note that while for certain prior years, we have also recalculated the budget neutrality factors to reflect revisions to the calculation of Factor 3, in combination with the correction of other errors, given the limited magnitude of the changes to uncompensated care payments, and because we are not making corrections to any other components of the calculation of these budget neutrality factors for FY 2023, we did not recalculate any budget neutrality factors due to the changes to Factor 3. On pages 49420 through 49421 and 49427 through 49428, we are revising the calculation of the percentage of operating outlier reconciliation dollars to total Federal operating payments based on the FY 2017 cost reports, which is used in our projection of operating outlier reconciliation payments for the FY 2023 outlier threshold calculation, to reflect the use of supplemental outlier reconciliation data, as discussed in the FY 2023 IPPS/LTCH PPS final rule, including additional supplemental data from some hospitals that had an outlier reconciliation amount recorded on Worksheet E, Part A, Line 2.01.

In addition to revising the percentage of operating outlier reconciliation dollars to total Federal operating payments, we are also revising the percentage of capital outlier payments to total capital Federal payments for FY 2017 to reflect these additional supplemental data for hospitals that had an outlier reconciliation amount recorded on Worksheet E, Part A, Line 93, Column 1. Accordingly, under our established methodology, this correction to the percentage of operating outlier reconciliation dollars to total Federal operating payments results in a change in the targeted operating outlier percentage and the FY 2023 outlier threshold. In addition, under our established methodology, the correction to the percentage of capital outlier payments to total capital Federal payments and the change in the FY 2023 outlier threshold results in a change in the estimated capital outlier percentage. We note that these recalculations also reflect the revisions to Factor 3 of the uncompensated care payment methodology described previously.

On pages 49433 through 49437, in our discussion of the determination of the Federal hospital inpatient capital related prospective payment rate update, due to the correction of the combination of errors listed previously (the revisions to Factor 3 of the uncompensated care payment methodology, and, in particular, the corrections to the outlier reconciliation projections and outlier threshold), we have made conforming corrections to the capital outlier adjustment, capital Federal rate and related figures. On page 49453, we are also making conforming corrections to the capital standard Federal payment rate in Table 1D. On page 49438, we made a typographical error in referencing a statutory citation. In addition, on page 49450, we are making conforming changes to the fixed-loss amount for FY 2023 site neutral payment rate discharges, and the high cost outlier threshold (based on the corrections to the IPPS outlier threshold (that is, fixed-loss amount) discussed previously).

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 table that is listed on page 49453 of the FY 2023 IPPS/LTCH PPS final rule and is available on the internet on the CMS website at https://www.cms.gov/​Medicare/​Medicare-Fee-for-ServicePayment/​AcuteInpatientPPS/​index.html. The tables that are available on the internet have been updated to reflect the revisions discussed in this final rule correction and correcting amendment. Table 18—FY 2023 Medicare DSH Uncompensated Care Payment Factor 3.

For the FY 2023 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 interim uncompensated care payments for FY 2023. As stated in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49046) we allowed the public an additional period after the issuance of the final rule to review and submit via email any updated information on mergers and/or to report upload discrepancies. We are updating this table to reflect the information on mergers, upload discrepancy, and DSH eligibility received in response to the final rule and to revise the Factor 3 calculations for purposes of determining uncompensated care payments for the FY 2023 IPPS/LTCH PPS final rule. We are revising Factor 3 for all hospitals to reflect the updated merger information, upload discrepancy information, and DSH eligibility 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. As previously discussed, given the limited magnitude of these uncompensated care payment corrections, and because we are not making corrections to any other components of the calculation of the budget neutrality factors for FY 2023, we do not believe the revisions to the uncompensated care payment amounts merit recalculating all budget neutrality factors. However, the revised uncompensated care payment amounts were incorporated into our recalculation of the outlier fixed-loss cost threshold and related figures to reflect the corrections to the outlier reconciliation projections used in the FY 2023 outlier threshold calculation, as described previously.

E. Summary of Errors in the Appendices On pages 49457, 49494, and 49495 we are making conforming corrections to the estimated overall impact, estimated overall change in new technology add-on payments, and the accounting statement and table for acute care hospitals under the IPPS, resulting from the correction to the maximum new technology add-on payment for cases involving the use of DefencathTM discussed in section II.A. Of this final rule correction and correcting amendment. Start Printed Page 66560 On pages 49461 through 49463, 49467 through 49468, and 49482 through 49485 in our regulatory impact analyses, we have made conforming corrections to certain factors, values, tables and accompanying discussion of the changes in operating and capital IPPS payments for FY 2023 as a result of the technical errors that lead to changes in our calculation of the outlier threshold and capital Federal rate (as discussed in section II.B.

Of this final rule correction and correcting amendment). These conforming corrections include changes to the following. On pages 49461 through 49463, the table titled “Table I—Impact Analysis of Changes to the IPPS for Operating Costs for FY 2023”. On pages 49467 through 49468, the table titled “Table II—Impact Analysis of Changes for FY 2023 Acute Care Hospital Operating Prospective Payment System (Payments per discharge)”.

On pages 49484 and 49485, the table titled “TABLE III.—COMPARISON OF TOTAL PAYMENTS PER CASE [FY 2022 PAYMENTS COMPARED TO FY 2023 PAYMENTS]”. On pages 49469 through 49470, we are correcting values in tables and estimated total payment values in accompanying discussion resulting from the correction to the maximum new technology add-on payment for cases involving the use of DefencathTM. On page 49470, under the table displaying the FY 2023 Estimates for New Technology Add-On Payments for FY 2023, we are correcting the inadvertent omission of the heading for the next section. On pages 49471 through 49474 we are correcting the discussion of the “2.

Effects of Changes to Medicare DSH and Uncompensated Care Payments for FY 2023 and the New Supplemental Payment for Indian Health Service Hospitals and Tribal Hospitals and Hospitals Located in Puerto Rico” for purposes of the Regulatory Impact Analysis in Appendix A of the FY 2023 IPPS/LTCH PPS final rule, including the table titled “Modeled Uncompensated Care Payments* and Supplemental Payments for Estimated FY 2023 DSHs by Hospital Type*” on pages 49472 and 49473, in light of the corrections discussed in section II.D. Of this final rule correction and correcting amendment. III. Waiver of Proposed Rulemaking 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, regulations text, addendum, payment rates, tables, and appendices included or referenced in the FY 2023 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 2023 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 2023 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 2023 IPPS/LTCH PPS final rule accurately reflects these payment methodologies and policies. Therefore, we believe we have good cause to waive the 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 final rule correction for discharges occurring on or after October 1, 2022, 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 2023 IPPS/LTCH PPS final rule accurately reflects our policies. IV. Correction of Errors In FR Doc. 2022-16472 of August 10, 2022 (87 FR 48780), we are making the following corrections.

A. Correction of Errors in the Preamble 1. On page 48781, first column, a. Lines 23 and 24, the phrase “S-3 Wage Data for the FY 2022 Wage Index” is corrected to read “S-3 Wage Data for the FY 2023 Wage Index”.

B. Lines 27 and 28, the phrase, “Computing the FY 2022 Unadjusted Wage Index” is corrected to read “Computing the FY 2023 Unadjusted Wage Index”. C. Line 74, the phrase ” Updates for FY 2022 (§ 412.64(d))” is corrected to read “Updates for FY 2023 (§ 412.64(d))”.

2. On page 48785, second column, third paragraph, the phrase “FY 2024” is corrected to read “FY 2023”. 3. On page 48789, in the untitled table, second column (Description of Costs, Transfers, Savings, and Benefits), third row (Update to the IPPS Payment Rates and Other Payment Policies), a.

Line 2, the figure “$1.4 billion” is corrected to read “$1.5 billion”. B. Line 4, the figure “$1.0 billion” is corrected to read “$0.9 billion”. 4.

On page 48790, in the untitled table, Start Printed Page 66561 a. Second column (Description of Costs, Transfers, Savings, and Benefits), (1) First row, lines 3 and 4, the phrase, “specific HSRs and a 30-day preview period for the NHSN CDC HAI measures.” is corrected to read “specific HSRs and a 30-day preview period.”. (2) Last row, line 1, the reference, “section XII.B.10.” is corrected to read “section XII.B.11.” b. Following the table (Table Note 1), the sentence beginning with the phrase “1 For the purpose” and ending with the phrase “and CABG).” is corrected by removing the sentence.

5. On page 48981, a. First column, fourth full paragraph, lines 14 and 15, the phrase “$5,850 to the hospital, per patient” is corrected to read “$1,950 per 5mL vial. €œ b.

Third column, last partial paragraph, lines 2 and 3, the language “the cost per case of the DefenCathTM is $5,850” is corrected to read “the cost of DefenCathTM is $1,950 per vial. Per the applicant, the average utilization of DefenCathTM is 9.75 vials per patient, resulting in an average cost per case of $19,012.50.” 6. On page 48982, first column, first partial paragraph, line 5, the figure “$4,387.50” is corrected to read “$14,259.38”. 7.

On page 49071, a. Second column, last partial paragraph, (1) Line 15, the phrase “line 9 minus line 8” is corrected to read “line 8 minus line 9”. (2) Lines 18 and 19, the phrase “line 9 minus line 8” is corrected to read “line 8 minus line 9”. (3) Lines 19 and 20, the phrase “line 9 minus line 8” is corrected to read “line 8 minus line 9”.

B. Third column, first partial paragraph, lines 1 and 2, the phrase “minus line 8 on line 20,' but we believe they meant to say `on line 22').” is corrected to read “minus line 8' but we believe they meant to state `line 8 minus line 9.' We also note that the commenters indicated to enter the result `on line 20,' but we believe they meant to state `on line 22').”. 8. On page 49087, second column, third full paragraph, line 13, the phrase “erectile dysfunction treatment-10 specific ICD-10” is corrected to read “erectile dysfunction treatment specific ICD-10”.

9. On page 49095, first column, third footnote paragraph (footnote 232), the parenthetical web address, “(statnews.com)” is corrected to read “ https://www.statnews.com/​2021/​09/​20/​erectile dysfunction treatment-set-to-overtake-1918-spanish-flu-as-deadliest-disease-in-american-history/​ ”. 10. On page 49106, a.

First column, first paragraph (footnote 275), lines 3 through 5, the phrase, “Fleisher et al. (2022). New England Journal of Medicine. Article available here:” is corrected to read “Fleisher et al.

(2022). Health Care Safety During the viagra and Beyond—Building a System That Ensures Resilience. New England Journal of Medicine. Available at:” b.

Second column— (1) Sixth footnote paragraph (footnote 283), lines 4 through 10, the hyperlink, https://www.fda.gov/​news-events/​press-announcements/​erectile dysfunction-erectile dysfunction treatment-update-fda-authorizes-additional-oral-antiviral-treatment-erectile dysfunction treatment-certain#:~:text=​Today%2C%20the%20U.S.%20Food%20and,progression%20to%20severe%20erectile dysfunction treatment%2D19%2C is corrected to read. Https://www.fda.gov/​news-events/​press-announcements/​erectile dysfunction-erectile dysfunction treatment-update-fda-authorizes-additional-oral-antiviral-treatment-erectile dysfunction treatment-certain (2) Eighth footnote paragraph (footnote 285), lines 3 through 7, the hyperlink, “ https://www.washingtonpost.com/​politics/​biden-to-give-away-400-million-n95-masks-starting-next-week/​2022/​01/​19/​5095c050-;​7915-11ec-9dce-7313579de434_​story.html ” is corrected to read “ https://www.washingtonpost.com/​kidspost/​2022/​01/​19/​biden-give-away-400-million-n95-masks/​ ”. 11. On page 49129, first column, footnote paragraph (Footnote 314), line 5 and 6, the hyperlink “ https://oig.hhs.govAd/​oei/​reports/​OEI-06-18-00400.asp ” is corrected to read https://oig.hhs.gov/​oei/​reports/​OEI-06-18-00400.asp.

12. On page 49195, third column, first full paragraph, lines 3 and 4, the reference “section 1866” is corrected to read “section 1886”. 13. On page 49197, second column, third full paragraph, lines 11 and 12, the reference “section 1866” is corrected to read “section 1886”.

14. On page 49201, first column, second full paragraph, lines 11 through 17, the sentence “First, because social risk factors disproportionately impact historically481 ” is corrected to read “First, because social risk factors disproportionately impact underserved communities, promoting screening for these factors could serve as evidence-based building blocks for supporting hospitals and health systems in actualizing commitment to address disparities, improve health equity through addressing the social needs with community partners, and implement associated equity measures to track progress.”. 15. On page 49207, first column, second full paragraph, lines 3 and 4, the reference “section 1866” is corrected to read “section 1886”.

16. On page 49217, first column, second full paragraph, line 3, the reference “section 1866” is corrected to read “section 1886”. 17. On page 49223, second column, first full paragraph, lines 7 and 8, the reference “section 1866” is corrected to read “section 1886”.

18. On page 49229, first column, first full paragraph, lines 4 and 5, the reference “section 1866” is corrected to read “section 1886”. 19. On page 49230, top third of the page, second column, second full paragraph, lines 2 through 6, the sentence “The measure is designed to be calculated by the hospitals' CEHRT using the patient-level data and then submitted by hospitals to CMS.” is corrected to read “Patient-level data is to be submitted to CMS where risk-adjustment and measure calculation will occur.”.

20. On page 49232, lower two-thirds of the page, first column, last full paragraph, lines 5 and 6, the phrase “an additional hospital unaffiliated with the first 25” is corrected to read ” an additional 5 hospitals unaffiliated with the first 25”. 21. On page 49233, third column, first full paragraph, lines 1 through 5, the sentence “We reiterate that this is an eCQM in which the data is collected through hospitals' EHR and designed to be calculated by the hospital's CEHRT (87 FR 28513).” is corrected to read “We reiterate that this is an eCQM in which the data is collected through hospitals' EHR (87 FR 28514).

The measure is designed for patient-level data to be submitted to CMS where risk-adjustment and measure calculation will occur.”. 22. On page 49248, first column, 10th footnote paragraph (Footnote 919), lines 1 and 2, the phrase, “Ma kela K.T., Peltola M., Sund R, Malmivaara A., Ha kkinen U., Remes V.” is corrected to read “Mäkelä K.T., Peltola M., Sund R., Malmivaara A., Häkkinen U., Remes V.”. 23.

On page 49263, third column, second full paragraph, lines 5 and 6, the reference “section 1866” is corrected to read “section 1886”. 24. On page 49266, third column, before the first footnote paragraph (Footnote 981), the footnote paragraphs are corrected by adding a footnote (Footnote 980) to read as follows. “National Quality Forum.

Surgery Fall Cycle 2020. Measure Testing (subcriteria 2a2, 2b1-2b6) Document. November 3, 2020. Available at.

https:// Start Printed Page 66562 nqfappservicesstorage.blob.core.windows.net/​proddocs/​22/​Fall/​2020/​measures/​1550/​shared/​1550.zip. ”. 25. On page 49267, third column, second full paragraph, lines 4 and 5, the reference “section 1866” is corrected to read “section 1886”.

26. On page 49283, first column, sixth footnote paragraph (footnote 1021), lines 6 and 7, the hyperlink “ https://jamanetwork.com/​journals/​jamanetworkopen/​fullarticle/​2787181 ” is corrected to read “ https://jamanetwork.com/​journals/​jamanetworkopen/​fullarticle/​2787184 ”. 27. On page 49295, second column, first partial footnote paragraph (footnote 1074), lines 1 through 4, the hyperlink “Accessed on Available at.

Https://arpsp.cdc.gov/​profile/​s/​clabsi?. €‹year-select-report=​year2019&​year-select-hai-state-list=​year2019 ” is corrected to read “Accessed July 27, 2021. Available at. Https://arpsp.cdc.gov/​profile/​nhsn/​clabsi.

€ 28. On page 49297, second column, first full paragraph, lines 17 and 18, the phrase “increase the risk of developing CDIs. € is corrected to read “increase the risk of contracting HAIs.”. 29.

On page 49308, second column, last partial paragraph, line 18, the citation (85 FR 58952 through 58944)” is corrected read “(85 FR 58942 through 58953)”. 30. On page 49311, first column, first full paragraph, line 3, the reference “section 1866” is corrected to read “section 1886”. 31.

On page 49312, first column, last partial paragraph, line 1, the reference “section 1866” is corrected to read “section 1886”. 32. On page 49313, third column, third full paragraph, line 7, the phrase “FY 2021 confidential” is corrected to read “FY 2022 confidential”. 33.

On page 49315, middle of the page, in the table titled “Table IX.G.-01. Quality Measures Currently Adopted for the FY 2023 LTCH QRP”, the entries in rows 3 and 4 are corrected to read as follows. 34. On page 49317, first column, fifth paragraph, lines 10 and 11, the phrase, “This commenter also suggested CMS to work with CMS to determine” is corrected to read “This commenter also suggested CMS determine”.

35. On page 49318— a. Second column, third full paragraph, line 1, the phrase, “A number of commenters provider” is corrected to read “A number of commenters provided”. B.

Third column, first full paragraph, lines 36 through 40, the sentence, “We also received one comment recommending CMS use a combination of peer group benchmarking and statistical significance. € is corrected read “A commenter also suggested additional guiding principles.” 36. On page 49327, third column, first partial paragraph, line 3, the reference “[TABLE XX]” is corrected to read “Table IX.H.-07”. 37.

On page 49335, third column, second full paragraph, line 14, the citation “(87 FR 28586 through 28587)” is corrected to read “(87 FR 28585 through 28587)”. 38. On page 49347, third column, first partial paragraph, line 15, the phrase, “We finalized our proposal” should read “We are finalizing our proposal”. 39.

On page 49362, second column, first partial paragraph, lines 11 through 15, the sentence “Testing established the feasibility of the measure, first in 25 hospitals across eight healthcare sites and then in additional hospital unaffiliated with the first 25.” is corrected to read “The measure developer's testing established the feasibility of the measure, first in 25 hospitals across 8 healthcare sites and then in an additional 5 hospitals unaffiliated with the first 25, and across several different electronic health record systems.”. 40. On page 49377, third column, first partial paragraph, lines 31 and 32, the reference “sections XII.B.10. And XII.H.11, ” is corrected to read “sections XII.B.11.

Of the preamble and I.H.11. Of the Appendix,”. 41. On page 49398, second column, first full paragraph, lines 1 and 2, the reference, “section XX.B.2.” is corrected to read “section X.B.2.”.

B. Corrections to the Addendum 1. On page 49420, first column, second full paragraph, a. Line 24, the phrase “2 additional” is corrected to “8 additional”.

B. Line 32, the phrase “2 hospitals' ” is corrected to “8 hospitals' ”. C. Line 40, the phrase “2 additional” is corrected to “8 additional”.

D. Lines 42 and 43, the phrase “2 hospitals, a total of 17 hospitals” is corrected to read as follows “8 hospitals, a total of 23 hospitals”. E. Line 47, the phrase “negative $17,153,313 (Step 2)” is corrected to read as follows “negative $25,475,549 (Step 2)”.

F. Line 50, the phrase, “2 hospitals is $88,414,357,653 (Step 3)” is corrected to read as follows “8 hospitals is $88,407,788,794 (Step 3)”. G. Lines 51 and 52, the phrase “negative 0.019401 percent” is corrected to read “negative 0.028816 percent”.

H. Line 53, the phrase “negative 0.02 percent” is corrected to read “negative 0.03 percent”. I. Lines 57 and 58, “5.12 percent [5.1 percent−(− 0.02 percent)]” is corrected to read “5.13 percent [5.1 percent−(− 0.03 percent)]”.

2. On page 49421, a. Second column, (1) First partial paragraph, lines 4 and 5, the phrase “supplemented for 2 hospitals for a total of 14 hospitals,” is corrected to read “supplemented for 8 hospitals for a total of 20 hospitals,”. (2) First full paragraph, (a) Lines 2 and 3, the phrase “2 hospitals, 14 hospitals” is corrected to read “8 hospitals, 20 hospitals”.

(b) Line 6, the figure “$1,101,225” is corrected to read “$2,556,541”. Start Printed Page 66563 (c) Line 9, the figure “$7,995,731,783” is corrected to read “$7,994,424,546”. (d) Line 10, the figure, “0.013773” is corrected to read “0.031979”. (e) Line 11, the figure, “0.01” is corrected to read “0.03”.

(f) Line 17, the figure “0.01” is corrected to read “0.03”. (g) Line 20, the figure “0.01” is corrected to read “0.03”. B. Third column, last full paragraph, (1) Line 2, the figure “5.66 percent” is corrected to read “5.67 percent”.

(2) Line 4, the phrase “$406,733,862 divided by $7,190,928,057” is corrected to read “$407,648,341 divided by “$7,190,718,976”. (3) Line 6, the figure “$406,733,862” is corrected to read “$407,648,341”. (4) Line 7, the figure “$6,784,194,195” is corrected to read “$6,783,070,635”. (5) Line 11, the figure “5.40 percent” is corrected to read “5.41 percent”.

(6) Line 12, the figure “$346,066,050” is corrected to read “$346,855,738”. (7) Line 13, the figure “$6,412,816,596” is corrected to read “$6,412,729,550”. (8) Line 14, the figure “$346,066,050” is corrected to read “$346,855,738”. (9) Line 16, the figure “$6,066,750,547” is corrected to read “$6,065,873,812”.

(10) Line 20, the figure “5.53 percent” is corrected to read “5.54 percent”. (11) Line 26, the figure “0.01 percent” is corrected to read “0.03 percent”. (12) Line 30, the figure “5.53 percent” is corrected to read “5.54 percent”. (13) Lines 34 and 35, the equation “5.52 percent (5.53 percent−0.01 percent)” is corrected to read 5.51 percent (5.54 percent−0.03 percent)”.

3. On page 49427, third column, second full paragraph, line 31, the figure “5.12” is corrected to “5.13”. 4. On page 49428, a.

Top of the page, (1) First column, (a) First partial paragraph, (i) Lines 3 through 5, the phrase “0.019401 percent, which when rounded to the second digit, is 0.02 percent” is corrected to “0.028816 percent, which when rounded to the second digit, is 0.03 percent” (ii) Lines 8 and 9, the mathematical expression “5.12 percent [5.1 percent−(0.02 percent)]” is corrected to read “5.13 percent [5.1 percent−(−0.03 percent)]”. (b) Third full paragraph, (i) Line 4, the figure “$39,389” is corrected to read “$39,317”. (ii) Line 6, the figure “$4,658,400,549” is corrected to read “$4,667,954,052”. (iii) Line 7, the figure “$86,325,462,972” is corrected to read “$86,324,951,579”.

(iv) Line 11, the figure “5.12” is corrected to read “5.13”. (c) Second partial paragraph, line 2, the figure “$38,328” is corrected to read “$38,259”. (2) Second column, (a) First partial paragraph, (i) Line 2, the figure “$4,073,729,554” is corrected to read “$4,081,975,259” (ii) Line 3, “$75,488,568,943” is corrected to “$75,488,113,785” (iii) Line 7, the figure “5.12” is corrected to read “5.13”. (b) First full paragraph, last line, the mathematical expression “$38,859 (($39,389 + $38,328)/2)).” is corrected to read “$38,788 (($39,317 + $38,259)/2)).” (3) Third column, first partial paragraph, lines 33 and 34, the figure “5.52 percent” is corrected to read “5.51 percent”.

B. Lower fourth of the page, in the untitled table, the figure “0.944837” is corrected to read “0.944910”. 4. On page 49433, second column, first full paragraph, line 6, the figure “2.36 percent” is corrected to read “2.37 percent”.

5. On page 49435, first column, a. First partial paragraph, line 22, the figure “5.53 percent” is corrected to read “5.54 percent”. B.

First full paragraph, (1) Line 6, the figure “0.01 percent” is corrected to read “0.03 percent”. (2) Lines 8 through 12, the phrase “estimated outlier payments for capital-related PPS payments would equal 5.52 percent (5.53 percent −0.01 percent) of inpatient capital-related payments” is corrected to read “estimated outlier payments for capital-related PPS payments would equal 5.51 percent (5.54 percent−0.03 percent) of inpatient capital-related payments”. (3) Line 14, the figure “0.9448” is corrected to read “0.9449”. C.

Second full paragraph, (1) Lines 4 through 7, the sentence “The FY 2023 outlier adjustment of 0.9448 is a −0.24 percent change from the FY 2022 outlier adjustment of 0.9471” is corrected to read “The FY 2023 outlier adjustment of 0.9449 is a −0.23 percent change from the FY 2022 outlier adjustment of 0.9471”. (2) Lines 9 and 10, the mathematical phrase “0.9976 (0.9448/0.9471)” is corrected to read “0.9977 (0.9449/0.9471)”. (3) Line 12, the figure “−0.24” is corrected to read “−0.23”. 6.

On page 49436, third column, a. First full paragraph, (1) Line 9, the figure $483.76” is corrected to read “$483.79”. (2) Last line, the figure “0.9448” is corrected to read “0.9449”. B.

Last paragraph, (1) Line 18, the figure “0.24” is corrected to read “0.23”. (2) Line 22, the figure “2.36” is corrected to read “2.37”. 7. On page 49437, a.

Top of the page, the table “Comparison of Factors and Adjustments. FY 2022 Capital Federal Rate and the FY 2023 Capital Federal Rate” is corrected to read as follows. Start Printed Page 66564 b. Lower two-thirds of the page, first column, second full paragraph, last line, the figure “38,859” is corrected to read “$38,788”.

8. On page 49438, second column, first full paragraph, lines 45 and 46, the reference “section 1866(m)(5)” is corrected to read “section 1886(m)(5)”. 9. On page 49450, first full paragraph, a.

Line 11, the figure “$38,859” is corrected to read “$38,788”. B. Last line, the figure “$38,859” is corrected to read “$38,788”. 10.

On page 49453, bottom of the page, the table titled “TABLE 1D—CAPITAL STANDARD FEDERAL PAYMENT RATE—FY 2023” is corrected to read as follows. D. Corrections to the Appendices 1. On page 49457, third column, last paragraph, a.

Line 8, the figure “$1.4 billion” is corrected to read “$1.5 billion”. B. Line 14, the figure “$1.0 billion” is corrected to read “$0.9 billion”. 2.

On pages 49461 through 49463, the column titled “All FY 2023 Changes” in the table titled, “Table I—Impact Analysis of Changes to the IPPS for Operating Costs for FY 2023” is corrected to read as follows. Start Printed Page 66565 Start Printed Page 66566 3. On pages 49467 through 49468, the table titled “Table II—Impact Analysis of Changes for FY 2023 Acute Care Hospital Operating Prospective Payment System (Payments per discharge)” is corrected to read as follows. Start Printed Page 66567 Start Printed Page 66568 Start Printed Page 66569 4.

On page 49469, lower half of the page, third column, first partial paragraph, a. Line 9, the figure “$88.45 million” is corrected to read “$164.72 million”. B. Line 12, the figure “$33.9 million” is corrected to read “$110.17 million”.

5. On page 49470, a. Top of the page, in the table titled “FY 2023 Estimates for New Technology Add-On Payments for Technologies under the Alternative Pathway for FY 2023”, the table is corrected to read as follows. b.

Lower one-third of the page, in the table titled “FY 2023 Estimates for New Technology Add-On Payments for FY 2023”, the table is corrected to read as follows. FY 2023 Estimates for New Technology Add-On Payments for FY 2023CategoryEstimated Total FY 2023 ImpactTechnologies Continuing New Technology Add-On Payments in FY 2023$619,943,190.45Alternative Pathway Applications164,724,777.38Traditional Pathway Applications75,161,627.94Aggregate Estimated Total FY 2023 Impact$859,829,595.77 c. Bottom of the page, first column, partial paragraph, before line 1, the text is corrected by adding a heading to read as follows. €œ2.

Effects of Changes to Medicare DSH and Uncompensated Care Payments for FY 2023 and the New Supplemental Payment for Indian Health Service Hospitals and Tribal Hospitals and Hospitals Located in Puerto Rico”. 6. On page 49471, third column, first full paragraph, line 1, the number “2,368” is corrected to “2,367”. 7.

On pages 49472 and 49473, the table titled “Modeled Uncompensated Care Payments* and Supplemental Payments for Estimated FY 2023 DSHs by Hospital Type” is corrected to read as follows. Start Printed Page 66570 Start Printed Page 66571 8. On page 49473, lower one-fourth of the page, second column, partial paragraph, line 6, the figure “2,368” is corrected to “2,367”. 9.

On page 49474, first column, second full paragraph, line 5 through the second column, second full paragraph, last line, the language (beginning with the phrase “Rural hospitals with 250+ beds are projected to receive” and ending with the sentence “Hospitals with greater than 65 percent Medicaid utilization are projected to receive an increase of 6.67 percent.”) is corrected to read as follows. €œRural hospitals, in general, are projected to experience larger decreases in uncompensated care payments and supplemental payments compared to their uncompensated care payments in FY 2022, as compared to their urban counterparts. Overall, rural hospitals are projected to receive a 6.00 percent decrease in payments, which is a greater decrease than the overall hospital average, while urban hospitals are projected to receive a 2.90 percent decrease in payments, which is a slightly smaller decrease than the overall hospital average. Among rural hospitals, by bed size, larger rural hospitals are projected to receive the smallest decreases in uncompensated care payments and supplemental payments.

Rural hospitals with 250+ beds are projected to receive a 4.53 percent payment decrease, and rural hospitals with 100-249 beds are projected to receive a 6.82 percent decrease. Smaller rural hospitals with 0-99 beds are projected to receive a 5.81 percent payment decrease. Among urban hospitals, the smallest hospitals, those with 0-99 beds, are projected to receive a 6.55 percent decrease in payments, which is a greater decrease than the overall hospital average. In contrast, urban hospitals with 100-249 beds and those with 250+ beds are projected to receive decreases in payments of 2.68 and 2.76 percent, respectively, which are smaller decreases than the overall hospital average.

In most regions, rural hospitals are generally expected to receive larger than average decreases in uncompensated care payments and supplemental payments. The exceptions are rural hospitals in the South Atlantic Region, which are projected to receive a smaller than average decrease of 1.81 percent in payments and rural hospitals in the East North Central Region and the Pacific Region, which are projected to receive payment increases of 8.09 and 24.44 percent, respectively. Regionally, urban hospitals are projected to receive a more varied range of payment changes. Urban hospitals in the New England, Middle Atlantic, and South Atlantic Regions, as well as hospitals in Puerto Rico, are projected to receive larger than average decreases in payments.

Urban hospitals in the East South Central, West North Central, West South Central, and Mountain Regions are projected to receive smaller than average decreases in payments. Urban hospitals in the East North Central and Pacific Regions are projected to receive increases in payments of 1.02 percent and 0.54 percent, respectively. By payment classification, although hospitals in urban payment areas overall are expected to receive a 2.50 percent decrease in uncompensated care payments and supplemental payments, hospitals in large urban payment areas are expected to see a decrease in payments of 1.26 percent, while hospitals in other urban payment areas are projected to receive the largest decrease of 4.88 percent. Hospitals in rural payment areas are expected to Start Printed Page 66572 receive a decrease in payments of 4.03 percent.

Nonteaching hospitals are projected to receive a payment decrease of 2.82 percent, teaching hospitals with fewer than 100 residents are projected to receive a decrease of 2.46 percent, and teaching hospitals with 100+ residents have a projected payment decrease of 3.82 percent. Proprietary and voluntary hospitals are projected to receive smaller than average decreases of 2.38 and 1.95 percent respectively, while government hospitals are expected to receive a larger than average payment decrease of 5.65 percent. Hospitals with less than 25 percent Medicare utilization and hospitals with 50 to 65 percent Medicare utilization are projected to receive smaller than average payment decreases of 2.89 and 0.38 percent, respectively, while hospitals with 25-50 percent and hospitals with greater than 65 percent Medicare utilization are projected to receive larger than average payment decreases of 3.29 and 23.83 percent, respectively. All hospitals with less than 50 percent Medicaid utilization are projected to receive smaller decreases in uncompensated care payments and supplemental payments than the overall hospital average percent change, while hospitals with 50-65 percent Medicaid utilization are projected to receive a larger than average decrease of 10.49 percent.

Hospitals with greater than 65 percent Medicaid utilization are projected to receive an increase of 6.66 percent.” 10. On page 49482, third column, first full paragraph, last line, the figure “0.9448” is corrected to read “0.9449”. 11. On page 49483, a.

First column, first partial paragraph, line 1, the figure “5.52 percent” is corrected to read “5.51 percent”. B. Second column, second full paragraph, (1) Line 5, the figure “1.6 percent” is corrected to read “1.7 percent”. (2) Line 10, the figure “1.2 percent” is corrected to read “1.4 percent”.

C. Third column, last paragraph, last line, the figure “0.3 percent” is corrected to read “0.1 percent”. 12. On pages 49484 and 49485, the table titled “TABLE III.—COMPARISON OF TOTAL PAYMENTS PER CASE [FY 2022 PAYMENTS COMPARED TO FY 2023 PAYMENTS]” is corrected to read as follows.

Start Printed Page 66573 Start Printed Page 66574 13. On page 49494, third column, third full paragraph, a. Lines 2 and 3, the figure “$1.4 billion” is corrected to read “$1.5 billion”. B.

Line 14, the figure “$0.039 billion” is corrected to read “0.040 billion”. C. Lines 17 and 18, the figure “-$0.747 billion” is corrected to read “-$0.671 billion”. 14.

On page 49495, a. First column, first line, the figure “$39 million” is corrected to read “$40 million”. B. Third column, second full paragraph, last line, the figure “$1.4 billion” is corrected to read “$1.5 billion”.

C. Middle of page, Table V. €œACCOUNTING STATEMENT. CLASSIFICATION OF ESTIMATED EXPENDITURES UNDER THE IPPS FROM FY 2022 TO FY 2023” is corrected to read as follows.

Start Printed Page 66575 Start List of Subjects Grant programs—healthHospitalsMedicaidMedicareReporting and recordkeeping requirements End List of Subjects Accordingly, 42 CFR chapter IV is corrected by making the following correcting amendments to part 482. Start Part End Part Start Amendment Part1. The authority citation for part 482 continues to reads as follows. End Amendment Part Start Authority 42 U.S.C.

1302, 1395hh, and 1395rr, unless otherwise noted. End Authority Start Amendment Part2. In § 482.42, redesignate the second paragraph (f)(2)(ii) as paragraph (f)(2)(iii). End Amendment Part Start Signature Elizabeth J.

Gramling, 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-C[FR Doc. 2022-24077 Filed 11-3-22. 8:45 am]BILLING CODE 4120-01-P.

Start Preamble Start Printed Page 66558 Centers for Medicare & can you buy viagra at cvs. Medicaid Services (CMS), Department can you buy viagra at cvs of Health and Human Services (HHS). Final rule. Correction and can you buy viagra at cvs correcting amendment. This document corrects technical and typographical errors in the final rule that appeared in the August 10, 2022 Federal Register.

The final rule was titled “Medicare Program can you buy viagra at cvs. Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year 2023 Rates. Quality Programs and Medicare Promoting Interoperability Program can you buy viagra at cvs Requirements for Eligible Hospitals and Critical Access Hospitals. Costs Incurred for Qualified and Non-qualified Deferred Compensation Plans. And Changes to Hospital and Critical Access Hospital Conditions can you buy viagra at cvs of Participation”.

Effective date. The final can you buy viagra at cvs rule corrections and correcting amendment are effective on November 3, 2022. Applicability date. The final rule corrections and correcting amendment are applicable for discharges occurring on or after October can you buy viagra at cvs 1, 2022. Start Further Info Donald Thompson, and Michele Hudson, (410) 786-4487 or DAC@cms.hhs.gov, Operating Prospective Payment.

Adina Hersko, Adina.Hersko@cms.hhs.gov and newtech@cms.hhs.gov, New Technology Add-on can you buy viagra at cvs Payments Issues. Dawn Linn, dawn.linn@cms.hhs.gov, Lela Strong, lela.strong@cms.hhs.gov, and Alpha can you buy viagra at cvs Wilson, alpha.wilson@cms.hhs.gov, Conditions of Participation (CoP) Requirements for Hospitals and Critical Access Hospitals (CAHs) to Continue Reporting Data for erectile dysfunction treatment and Influenza After the PHE ends as Determined by the Secretary. Julia Venanzi, julia.venanzi@cms.hhs.gov, Hospital Inpatient Quality Reporting Program and Hospital Value-Based Purchasing Program—Administration Issues Ariel Cress, ariel.cress@cms.hhs.gov, Long-Term Care Hospital Quality Reporting Program—Data Reporting Issues. Jessica Warren, jessica.warren@cms.hhs.gov, Medicare Promoting Interoperability Program can you buy viagra at cvs. End Further Info End Preamble Start Supplemental Information I.

Background In FR Doc can you buy viagra at cvs. 2022-48780 of August 10, 2022 (87 FR 48780), there were a number of technical and typographical errors that are identified and corrected in this final rule correction and correcting amendment. The final rule corrections and correcting amendment are applicable to discharges occurring on can you buy viagra at cvs or after October 1, 2022, as if they had been included in the document that appeared in the August 10, 2022 Federal Register. II. Summary of can you buy viagra at cvs Errors A.

Summary of Errors in the Preamble On pages 48781, 48785, and 49313, we made typographical and technical errors in specifying certain fiscal years. On pages 49195, 49197, 49207, 49217, 49223, 49229, 49263, 49267, and 49311, we can you buy viagra at cvs made typographical errors in referencing a statutory citation. On page 48789, in the table of the summary of costs and benefits of certain major provisions, we are making conforming corrections to the estimates discussed in the “Update to the IPPS Payment Rates and Other Payment Policies” row resulting from the correction to the maximum new technology add-on payment for cases involving the use of DefencathTM discussed later in this section of this final rule correction and correcting amendment. On page 48790, in the table of the summary of costs and can you buy viagra at cvs benefits of certain major provisions, we are making corrections to the description of the estimates discussed for the Hospital-Acquired Condition Program. On pages 48790, 49308, 49327, 49335, 49377, and 49398, we made technical and typographical errors in Federal Register citations and cross-references.

On pages 48981 through 48982, in our discussion of new medical services can you buy viagra at cvs and technologies, we are correcting the cost per case and maximum new technology add-on payment for a case involving the use of DefencathTM. On page 49071, we made typographical errors and an omission in our discussion of revisions to Worksheet can you buy viagra at cvs E-4 of the hospital cost report instructions. On page 49087, we made and are correcting a typographical error in our discussion of the Hospital Readmission Reduction Program. On pages 49095, 49106, 49129, 49248, 49266, 49283, and 49295, can you buy viagra at cvs we made and are correcting typographical errors in several footnotes and footnote references. On pages 49201, 49230, 49232, 49233, 49297, and 49308, in the discussion of the Hospital Inpatient Quality Reporting (IQR) Program, we are correcting inadvertent omissions as well as typographical and technical errors.

On pages 49315, 49317, and 49318, in the can you buy viagra at cvs discussion of the Long-term Care Hospital Quality Reporting Program (LTCH QRP) we are correcting several technical and typographical errors. On pages 49347 and 49362, in the discussion of the Medicare Promoting Interoperability Program, we made and are correcting typographical and technical errors. B. Summary of Errors in the Regulations Text On page 49410, we inadvertently made a typographical error in the paragraph numbering for a paragraph in § 482.42(f)(2). C.

Summary of Errors in the Addendum As discussed further in section II.D. Of this final rule correction and correcting amendment, 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 and made corrections for report upload errors and an update to the DSH eligibility for one provider that was inadvertently projected not DSH eligible in the final rule. Based on the March 2022 Provider Specific File's Medicaid fraction and the FY 2020 SSI fractions, this provider is projected DSH eligible for purposes of interim uncompensated care payments during FY 2023. Specifically, there were two merger updates, one update on a report upload Start Printed Page 66559 discrepancy, and one update on DSH eligibility projection. We recalculated the total uncompensated care amount for all DSH-eligible hospitals to reflect these updates.

In addition, because the Factor 3 for each hospital reflects that hospital's uncompensated care amount relative to the uncompensated care amount for all DSH hospitals, we also recalculated Factor 3 for all DSH-eligible hospitals. The hospital-specific 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. Given the small number of updates to the information used in the calculation of Factor 3, the change to the previously calculated Factor 3 for the majority of hospitals is of limited magnitude. We note that the fixed-loss cost threshold was unchanged after these Factor 3 recalculations.

(As discussed elsewhere, however, we incorporated the revised uncompensated care payment amounts into our recalculation of the FY 2023 fixed-loss threshold and related figures to reflect the use of supplemental outlier reconciliation data.) We further note that while for certain prior years, we have also recalculated the budget neutrality factors to reflect revisions to the calculation of Factor 3, in combination with the correction of other errors, given the limited magnitude of the changes to uncompensated care payments, and because we are not making corrections to any other components of the calculation of these budget neutrality factors for FY 2023, we did not recalculate any budget neutrality factors due to the changes to Factor 3. On pages 49420 through 49421 and 49427 through 49428, we are revising the calculation of the percentage of operating outlier reconciliation dollars to total Federal operating payments based on the FY 2017 cost reports, which is used in our projection of operating outlier reconciliation payments for the FY 2023 outlier threshold calculation, to reflect the use of supplemental outlier reconciliation data, as discussed in the FY 2023 IPPS/LTCH PPS final rule, including additional supplemental data from some hospitals that had an outlier reconciliation amount recorded on Worksheet E, Part A, Line 2.01. In addition to revising the percentage of operating outlier reconciliation dollars to total Federal operating payments, we are also revising the percentage of capital outlier payments to total capital Federal payments for FY 2017 to reflect these additional supplemental data for hospitals that had an outlier reconciliation amount recorded on Worksheet E, Part A, Line 93, Column 1. Accordingly, under our established methodology, this correction to the percentage of operating outlier reconciliation dollars to total Federal operating payments results in a change in the targeted operating outlier percentage and the FY 2023 outlier threshold. In addition, under our established methodology, the correction to the percentage of capital outlier payments to total capital Federal payments and the change in the FY 2023 outlier threshold results in a change in the estimated capital outlier percentage.

We note that these recalculations also reflect the revisions to Factor 3 of the uncompensated care payment methodology described previously. On pages 49433 through 49437, in our discussion of the determination of the Federal hospital inpatient capital related prospective payment rate update, due to the correction of the combination of errors listed previously (the revisions to Factor 3 of the uncompensated care payment methodology, and, in particular, the corrections to the outlier reconciliation projections and outlier threshold), we have made conforming corrections to the capital outlier adjustment, capital Federal rate and related figures. On page 49453, we are also making conforming corrections to the capital standard Federal payment rate in Table 1D. On page 49438, we made a typographical error in referencing a statutory citation. In addition, on page 49450, we are making conforming changes to the fixed-loss amount for FY 2023 site neutral payment rate discharges, and the high cost outlier threshold (based on the corrections to the IPPS outlier threshold (that is, fixed-loss amount) discussed previously).

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 table that is listed on page 49453 of the FY 2023 IPPS/LTCH PPS final rule and is available on the internet on the CMS website at https://www.cms.gov/​Medicare/​Medicare-Fee-for-ServicePayment/​AcuteInpatientPPS/​index.html. The tables that are available on the internet have been updated to reflect the revisions discussed in this final rule correction and correcting amendment. Table 18—FY 2023 Medicare DSH Uncompensated Care Payment Factor 3. For the FY 2023 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 interim uncompensated care payments for FY 2023.

As stated in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49046) we allowed the public an additional period after the issuance of the final rule to review and submit via email any updated information on mergers and/or to report upload discrepancies. We are updating this table to reflect the information on mergers, upload discrepancy, and DSH eligibility received in response to the final rule and to revise the Factor 3 calculations for purposes of determining uncompensated care payments for the FY 2023 IPPS/LTCH PPS final rule. We are revising Factor 3 for all hospitals to reflect the updated merger information, upload discrepancy information, and DSH eligibility 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.

As previously discussed, given the limited magnitude of these uncompensated care payment corrections, and because we are not making corrections to any other components of the calculation of the budget neutrality factors for FY 2023, we do not believe the revisions to the uncompensated care payment amounts merit recalculating all budget neutrality factors. However, the revised uncompensated care payment amounts were incorporated into our recalculation of the outlier fixed-loss cost threshold and related figures to reflect the corrections to the outlier reconciliation projections used in the FY 2023 outlier threshold calculation, as described previously. E. Summary of Errors in the Appendices On pages 49457, 49494, and 49495 we are making conforming corrections to the estimated overall impact, estimated overall change in new technology add-on payments, and the accounting statement and table for acute care hospitals under the IPPS, resulting from the correction to the maximum new technology add-on payment for cases involving the use of DefencathTM discussed in section II.A. Of this final rule correction and correcting amendment.

Start Printed Page 66560 On pages 49461 through 49463, 49467 through 49468, and 49482 through 49485 in our regulatory impact analyses, we have made conforming corrections to certain factors, values, tables and accompanying discussion of the changes in operating and capital IPPS payments for FY 2023 as a result of the technical errors that lead to changes in our calculation of the outlier threshold and capital Federal rate (as discussed in section II.B. Of this final rule correction and correcting amendment). These conforming corrections include changes to the following. On pages 49461 through 49463, the table titled “Table I—Impact Analysis of Changes to the IPPS for Operating Costs for FY 2023”. On pages 49467 through 49468, the table titled “Table II—Impact Analysis of Changes for FY 2023 Acute Care Hospital Operating Prospective Payment System (Payments per discharge)”.

On pages 49484 and 49485, the table titled “TABLE III.—COMPARISON OF TOTAL PAYMENTS PER CASE [FY 2022 PAYMENTS COMPARED TO FY 2023 PAYMENTS]”. On pages 49469 through 49470, we are correcting values in tables and estimated total payment values in accompanying discussion resulting from the correction to the maximum new technology add-on payment for cases involving the use of DefencathTM. On page 49470, under the table displaying the FY 2023 Estimates for New Technology Add-On Payments for FY 2023, we are correcting the inadvertent omission of the heading for the next section. On pages 49471 through 49474 we are correcting the discussion of the “2. Effects of Changes to Medicare DSH and Uncompensated Care Payments for FY 2023 and the New Supplemental Payment for Indian Health Service Hospitals and Tribal Hospitals and Hospitals Located in Puerto Rico” for purposes of the Regulatory Impact Analysis in Appendix A of the FY 2023 IPPS/LTCH PPS final rule, including the table titled “Modeled Uncompensated Care Payments* and Supplemental Payments for Estimated FY 2023 DSHs by Hospital Type*” on pages 49472 and 49473, in light of the corrections discussed in section II.D.

Of this final rule correction and correcting amendment. III. Waiver of Proposed Rulemaking 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, regulations text, addendum, payment rates, tables, and appendices included or referenced in the FY 2023 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 2023 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 2023 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 2023 IPPS/LTCH PPS final rule accurately reflects these payment methodologies and policies. Therefore, we believe we have good cause to waive the 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 final rule correction for discharges occurring on or after October 1, 2022, 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 2023 IPPS/LTCH PPS final rule accurately reflects our policies.

IV. Correction of Errors In FR Doc. 2022-16472 of August 10, 2022 (87 FR 48780), we are making the following corrections. A. Correction of Errors in the Preamble 1.

On page 48781, first column, a. Lines 23 and 24, the phrase “S-3 Wage Data for the FY 2022 Wage Index” is corrected to read “S-3 Wage Data for the FY 2023 Wage Index”. B. Lines 27 and 28, the phrase, “Computing the FY 2022 Unadjusted Wage Index” is corrected to read “Computing the FY 2023 Unadjusted Wage Index”. C.

Line 74, the phrase ” Updates for FY 2022 (§ 412.64(d))” is corrected to read “Updates for FY 2023 (§ 412.64(d))”. 2. On page 48785, second column, third paragraph, the phrase “FY 2024” is corrected to read “FY 2023”. 3. On page 48789, in the untitled table, second column (Description of Costs, Transfers, Savings, and Benefits), third row (Update to the IPPS Payment Rates and Other Payment Policies), a.

Line 2, the figure “$1.4 billion” is corrected to read “$1.5 billion”. B. Line 4, the figure “$1.0 billion” is corrected to read “$0.9 billion”. 4. On page 48790, in the untitled table, Start Printed Page 66561 a.

Second column (Description of Costs, Transfers, Savings, and Benefits), (1) First row, lines 3 and 4, the phrase, “specific HSRs and a 30-day preview period for the NHSN CDC HAI measures.” is corrected to read “specific HSRs and a 30-day preview period.”. (2) Last row, line 1, the reference, “section XII.B.10.” is corrected to read “section XII.B.11.” b. Following the table (Table Note 1), the sentence beginning with the phrase “1 For the purpose” and ending with the phrase “and CABG).” is corrected by removing the sentence. 5. On page 48981, a.

First column, fourth full paragraph, lines 14 and 15, the phrase “$5,850 to the hospital, per patient” is corrected to read “$1,950 per 5mL vial. €œ b. Third column, last partial paragraph, lines 2 and 3, the language “the cost per case of the DefenCathTM is $5,850” is corrected to read “the cost of DefenCathTM is $1,950 per vial. Per the applicant, the average utilization of DefenCathTM is 9.75 vials per patient, resulting in an average cost per case of $19,012.50.” 6. On page 48982, first column, first partial paragraph, line 5, the figure “$4,387.50” is corrected to read “$14,259.38”.

7. On page 49071, a. Second column, last partial paragraph, (1) Line 15, the phrase “line 9 minus line 8” is corrected to read “line 8 minus line 9”. (2) Lines 18 and 19, the phrase “line 9 minus line 8” is corrected to read “line 8 minus line 9”. (3) Lines 19 and 20, the phrase “line 9 minus line 8” is corrected to read “line 8 minus line 9”.

B. Third column, first partial paragraph, lines 1 and 2, the phrase “minus line 8 on line 20,' but we believe they meant to say `on line 22').” is corrected to read “minus line 8' but we believe they meant to state `line 8 minus line 9.' We also note that the commenters indicated to enter the result `on line 20,' but we believe they meant to state `on line 22').”. 8. On page 49087, second column, third full paragraph, line 13, the phrase “erectile dysfunction treatment-10 specific ICD-10” is corrected to read “erectile dysfunction treatment specific ICD-10”. 9.

On page 49095, first column, third footnote paragraph (footnote 232), the parenthetical web address, “(statnews.com)” is corrected to read “ https://www.statnews.com/​2021/​09/​20/​erectile dysfunction treatment-set-to-overtake-1918-spanish-flu-as-deadliest-disease-in-american-history/​ ”. 10. On page 49106, a. First column, first paragraph (footnote 275), lines 3 through 5, the phrase, “Fleisher et al. (2022).

New England Journal of Medicine. Article available here:” is corrected to read “Fleisher et al. (2022). Health Care Safety During the viagra and Beyond—Building a System That Ensures Resilience. New England Journal of Medicine.

Available at:” b. Second column— (1) Sixth footnote paragraph (footnote 283), lines 4 through 10, the hyperlink, https://www.fda.gov/​news-events/​press-announcements/​erectile dysfunction-erectile dysfunction treatment-update-fda-authorizes-additional-oral-antiviral-treatment-erectile dysfunction treatment-certain#:~:text=​Today%2C%20the%20U.S.%20Food%20and,progression%20to%20severe%20erectile dysfunction treatment%2D19%2C is corrected to read. Https://www.fda.gov/​news-events/​press-announcements/​erectile dysfunction-erectile dysfunction treatment-update-fda-authorizes-additional-oral-antiviral-treatment-erectile dysfunction treatment-certain (2) Eighth footnote paragraph (footnote 285), lines 3 through 7, the hyperlink, “ https://www.washingtonpost.com/​politics/​biden-to-give-away-400-million-n95-masks-starting-next-week/​2022/​01/​19/​5095c050-;​7915-11ec-9dce-7313579de434_​story.html ” is corrected to read “ https://www.washingtonpost.com/​kidspost/​2022/​01/​19/​biden-give-away-400-million-n95-masks/​ ”. 11. On page 49129, first column, footnote paragraph (Footnote 314), line 5 and 6, the hyperlink “ https://oig.hhs.govAd/​oei/​reports/​OEI-06-18-00400.asp ” is corrected to read https://oig.hhs.gov/​oei/​reports/​OEI-06-18-00400.asp.

12. On page 49195, third column, first full paragraph, lines 3 and 4, the reference “section 1866” is corrected to read “section 1886”. 13. On page 49197, second column, third full paragraph, lines 11 and 12, the reference “section 1866” is corrected to read “section 1886”. 14.

On page 49201, first column, second full paragraph, lines 11 through 17, the sentence “First, because social risk factors disproportionately impact historically481 ” is corrected to read “First, because social risk factors disproportionately impact underserved communities, promoting screening for these factors could serve as evidence-based building blocks for supporting hospitals and health systems in actualizing commitment to address disparities, improve health equity through addressing the social needs with community partners, and implement associated equity measures to track progress.”. 15. On page 49207, first column, second full paragraph, lines 3 and 4, the reference “section 1866” is corrected to read “section 1886”. 16. On page 49217, first column, second full paragraph, line 3, the reference “section 1866” is corrected to read “section 1886”.

17. On page 49223, second column, first full paragraph, lines 7 and 8, the reference “section 1866” is corrected to read “section 1886”. 18. On page 49229, first column, first full paragraph, lines 4 and 5, the reference “section 1866” is corrected to read “section 1886”. 19.

On page 49230, top third of the page, second column, second full paragraph, lines 2 through 6, the sentence “The measure is designed to be calculated by the hospitals' CEHRT using the patient-level data and then submitted by hospitals to CMS.” is corrected to read “Patient-level data is to be submitted to CMS where risk-adjustment and measure calculation will occur.”. 20. On page 49232, lower two-thirds of the page, first column, last full paragraph, lines 5 and 6, the phrase “an additional hospital unaffiliated with the first 25” is corrected to read ” an additional 5 hospitals unaffiliated with the first 25”. 21. On page 49233, third column, first full paragraph, lines 1 through 5, the sentence “We reiterate that this is an eCQM in which the data is collected through hospitals' EHR and designed to be calculated by the hospital's CEHRT (87 FR 28513).” is corrected to read “We reiterate that this is an eCQM in which the data is collected through hospitals' EHR (87 FR 28514).

The measure is designed for patient-level data to be submitted to CMS where risk-adjustment and measure calculation will occur.”. 22. On page 49248, first column, 10th footnote paragraph (Footnote 919), lines 1 and 2, the phrase, “Ma kela K.T., Peltola M., Sund R, Malmivaara A., Ha kkinen U., Remes V.” is corrected to read “Mäkelä K.T., Peltola M., Sund R., Malmivaara A., Häkkinen U., Remes V.”. 23. On page 49263, third column, second full paragraph, lines 5 and 6, the reference “section 1866” is corrected to read “section 1886”.

24. On page 49266, third column, before the first footnote paragraph (Footnote 981), the footnote paragraphs are corrected by adding a footnote (Footnote 980) to read as follows. “National Quality Forum. Surgery Fall Cycle 2020. Measure Testing (subcriteria 2a2, 2b1-2b6) Document.

November 3, 2020. Available at. https:// Start Printed Page 66562 nqfappservicesstorage.blob.core.windows.net/​proddocs/​22/​Fall/​2020/​measures/​1550/​shared/​1550.zip. ”. 25.

On page 49267, third column, second full paragraph, lines 4 and 5, the reference “section 1866” is corrected to read “section 1886”. 26. On page 49283, first column, sixth footnote paragraph (footnote 1021), lines 6 and 7, the hyperlink “ https://jamanetwork.com/​journals/​jamanetworkopen/​fullarticle/​2787181 ” is corrected to read “ https://jamanetwork.com/​journals/​jamanetworkopen/​fullarticle/​2787184 ”. 27. On page 49295, second column, first partial footnote paragraph (footnote 1074), lines 1 through 4, the hyperlink “Accessed on Available at.

Https://arpsp.cdc.gov/​profile/​s/​clabsi?. €‹year-select-report=​year2019&​year-select-hai-state-list=​year2019 ” is corrected to read “Accessed July 27, 2021. Available at. Https://arpsp.cdc.gov/​profile/​nhsn/​clabsi. € 28.

On page 49297, second column, first full paragraph, lines 17 and 18, the phrase “increase the risk of developing CDIs. € is corrected to read “increase the risk of contracting HAIs.”. 29. On page 49308, second column, last partial paragraph, line 18, the citation (85 FR 58952 through 58944)” is corrected read “(85 FR 58942 through 58953)”. 30.

On page 49311, first column, first full paragraph, line 3, the reference “section 1866” is corrected to read “section 1886”. 31. On page 49312, first column, last partial paragraph, line 1, the reference “section 1866” is corrected to read “section 1886”. 32. On page 49313, third column, third full paragraph, line 7, the phrase “FY 2021 confidential” is corrected to read “FY 2022 confidential”.

33. On page 49315, middle of the page, in the table titled “Table IX.G.-01. Quality Measures Currently Adopted for the FY 2023 LTCH QRP”, the entries in rows 3 and 4 are corrected to read as follows. 34. On page 49317, first column, fifth paragraph, lines 10 and 11, the phrase, “This commenter also suggested CMS to work with CMS to determine” is corrected to read “This commenter also suggested CMS determine”.

35. On page 49318— a. Second column, third full paragraph, line 1, the phrase, “A number of commenters provider” is corrected to read “A number of commenters provided”. B. Third column, first full paragraph, lines 36 through 40, the sentence, “We also received one comment recommending CMS use a combination of peer group benchmarking and statistical significance.

€ is corrected read “A commenter also suggested additional guiding principles.” 36. On page 49327, third column, first partial paragraph, line 3, the reference “[TABLE XX]” is corrected to read “Table IX.H.-07”. 37. On page 49335, third column, second full paragraph, line 14, the citation “(87 FR 28586 through 28587)” is corrected to read “(87 FR 28585 through 28587)”. 38.

On page 49347, third column, first partial paragraph, line 15, the phrase, “We finalized our proposal” should read “We are finalizing our proposal”. 39. On page 49362, second column, first partial paragraph, lines 11 through 15, the sentence “Testing established the feasibility of the measure, first in 25 hospitals across eight healthcare sites and then in additional hospital unaffiliated with the first 25.” is corrected to read “The measure developer's testing established the feasibility of the measure, first in 25 hospitals across 8 healthcare sites and then in an additional 5 hospitals unaffiliated with the first 25, and across several different electronic health record systems.”. 40. On page 49377, third column, first partial paragraph, lines 31 and 32, the reference “sections XII.B.10.

And XII.H.11, ” is corrected to read “sections XII.B.11. Of the preamble and I.H.11. Of the Appendix,”. 41. On page 49398, second column, first full paragraph, lines 1 and 2, the reference, “section XX.B.2.” is corrected to read “section X.B.2.”.

B. Corrections to the Addendum 1. On page 49420, first column, second full paragraph, a. Line 24, the phrase “2 additional” is corrected to “8 additional”. B.

Line 32, the phrase “2 hospitals' ” is corrected to “8 hospitals' ”. C. Line 40, the phrase “2 additional” is corrected to “8 additional”. D. Lines 42 and 43, the phrase “2 hospitals, a total of 17 hospitals” is corrected to read as follows “8 hospitals, a total of 23 hospitals”.

E. Line 47, the phrase “negative $17,153,313 (Step 2)” is corrected to read as follows “negative $25,475,549 (Step 2)”. F. Line 50, the phrase, “2 hospitals is $88,414,357,653 (Step 3)” is corrected to read as follows “8 hospitals is $88,407,788,794 (Step 3)”. G.

Lines 51 and 52, the phrase “negative 0.019401 percent” is corrected to read “negative 0.028816 percent”. H. Line 53, the phrase “negative 0.02 percent” is corrected to read “negative 0.03 percent”. I. Lines 57 and 58, “5.12 percent [5.1 percent−(− 0.02 percent)]” is corrected to read “5.13 percent [5.1 percent−(− 0.03 percent)]”.

2. On page 49421, a. Second column, (1) First partial paragraph, lines 4 and 5, the phrase “supplemented for 2 hospitals for a total of 14 hospitals,” is corrected to read “supplemented for 8 hospitals for a total of 20 hospitals,”. (2) First full paragraph, (a) Lines 2 and 3, the phrase “2 hospitals, 14 hospitals” is corrected to read “8 hospitals, 20 hospitals”. (b) Line 6, the figure “$1,101,225” is corrected to read “$2,556,541”.

Start Printed Page 66563 (c) Line 9, the figure “$7,995,731,783” is corrected to read “$7,994,424,546”. (d) Line 10, the figure, “0.013773” is corrected to read “0.031979”. (e) Line 11, the figure, “0.01” is corrected to read “0.03”. (f) Line 17, the figure “0.01” is corrected to read “0.03”. (g) Line 20, the figure “0.01” is corrected to read “0.03”.

B. Third column, last full paragraph, (1) Line 2, the figure “5.66 percent” is corrected to read “5.67 percent”. (2) Line 4, the phrase “$406,733,862 divided by $7,190,928,057” is corrected to read “$407,648,341 divided by “$7,190,718,976”. (3) Line 6, the figure “$406,733,862” is corrected to read “$407,648,341”. (4) Line 7, the figure “$6,784,194,195” is corrected to read “$6,783,070,635”.

(5) Line 11, the figure “5.40 percent” is corrected to read “5.41 percent”. (6) Line 12, the figure “$346,066,050” is corrected to read “$346,855,738”. (7) Line 13, the figure “$6,412,816,596” is corrected to read “$6,412,729,550”. (8) Line 14, the figure “$346,066,050” is corrected to read “$346,855,738”. (9) Line 16, the figure “$6,066,750,547” is corrected to read “$6,065,873,812”.

(10) Line 20, the figure “5.53 percent” is corrected to read “5.54 percent”. (11) Line 26, the figure “0.01 percent” is corrected to read “0.03 percent”. (12) Line 30, the figure “5.53 percent” is corrected to read “5.54 percent”. (13) Lines 34 and 35, the equation “5.52 percent (5.53 percent−0.01 percent)” is corrected to read 5.51 percent (5.54 percent−0.03 percent)”. 3.

On page 49427, third column, second full paragraph, line 31, the figure “5.12” is corrected to “5.13”. 4. On page 49428, a. Top of the page, (1) First column, (a) First partial paragraph, (i) Lines 3 through 5, the phrase “0.019401 percent, which when rounded to the second digit, is 0.02 percent” is corrected to “0.028816 percent, which when rounded to the second digit, is 0.03 percent” (ii) Lines 8 and 9, the mathematical expression “5.12 percent [5.1 percent−(0.02 percent)]” is corrected to read “5.13 percent [5.1 percent−(−0.03 percent)]”. (b) Third full paragraph, (i) Line 4, the figure “$39,389” is corrected to read “$39,317”.

(ii) Line 6, the figure “$4,658,400,549” is corrected to read “$4,667,954,052”. (iii) Line 7, the figure “$86,325,462,972” is corrected to read “$86,324,951,579”. (iv) Line 11, the figure “5.12” is corrected to read “5.13”. (c) Second partial paragraph, line 2, the figure “$38,328” is corrected to read “$38,259”. (2) Second column, (a) First partial paragraph, (i) Line 2, the figure “$4,073,729,554” is corrected to read “$4,081,975,259” (ii) Line 3, “$75,488,568,943” is corrected to “$75,488,113,785” (iii) Line 7, the figure “5.12” is corrected to read “5.13”.

(b) First full paragraph, last line, the mathematical expression “$38,859 (($39,389 + $38,328)/2)).” is corrected to read “$38,788 (($39,317 + $38,259)/2)).” (3) Third column, first partial paragraph, lines 33 and 34, the figure “5.52 percent” is corrected to read “5.51 percent”. B. Lower fourth of the page, in the untitled table, the figure “0.944837” is corrected to read “0.944910”. 4. On page 49433, second column, first full paragraph, line 6, the figure “2.36 percent” is corrected to read “2.37 percent”.

5. On page 49435, first column, a. First partial paragraph, line 22, the figure “5.53 percent” is corrected to read “5.54 percent”. B. First full paragraph, (1) Line 6, the figure “0.01 percent” is corrected to read “0.03 percent”.

(2) Lines 8 through 12, the phrase “estimated outlier payments for capital-related PPS payments would equal 5.52 percent (5.53 percent −0.01 percent) of inpatient capital-related payments” is corrected to read “estimated outlier payments for capital-related PPS payments would equal 5.51 percent (5.54 percent−0.03 percent) of inpatient capital-related payments”. (3) Line 14, the figure “0.9448” is corrected to read “0.9449”. C. Second full paragraph, (1) Lines 4 through 7, the sentence “The FY 2023 outlier adjustment of 0.9448 is a −0.24 percent change from the FY 2022 outlier adjustment of 0.9471” is corrected to read “The FY 2023 outlier adjustment of 0.9449 is a −0.23 percent change from the FY 2022 outlier adjustment of 0.9471”. (2) Lines 9 and 10, the mathematical phrase “0.9976 (0.9448/0.9471)” is corrected to read “0.9977 (0.9449/0.9471)”.

(3) Line 12, the figure “−0.24” is corrected to read “−0.23”. 6. On page 49436, third column, a. First full paragraph, (1) Line 9, the figure $483.76” is corrected to read “$483.79”. (2) Last line, the figure “0.9448” is corrected to read “0.9449”.

B. Last paragraph, (1) Line 18, the figure “0.24” is corrected to read “0.23”. (2) Line 22, the figure “2.36” is corrected to read “2.37”. 7. On page 49437, a.

Top of the page, the table “Comparison of Factors and Adjustments. FY 2022 Capital Federal Rate and the FY 2023 Capital Federal Rate” is corrected to read as follows. Start Printed Page 66564 b. Lower two-thirds of the page, first column, second full paragraph, last line, the figure “38,859” is corrected to read “$38,788”. 8.

On page 49438, second column, first full paragraph, lines 45 and 46, the reference “section 1866(m)(5)” is corrected to read “section 1886(m)(5)”. 9. On page 49450, first full paragraph, a. Line 11, the figure “$38,859” is corrected to read “$38,788”. B.

Last line, the figure “$38,859” is corrected to read “$38,788”. 10. On page 49453, bottom of the page, the table titled “TABLE 1D—CAPITAL STANDARD FEDERAL PAYMENT RATE—FY 2023” is corrected to read as follows. D. Corrections to the Appendices 1.

On page 49457, third column, last paragraph, a. Line 8, the figure “$1.4 billion” is corrected to read “$1.5 billion”. B. Line 14, the figure “$1.0 billion” is corrected to read “$0.9 billion”. 2.

On pages 49461 through 49463, the column titled “All FY 2023 Changes” in the table titled, “Table I—Impact Analysis of Changes to the IPPS for Operating Costs for FY 2023” is corrected to read as follows. Start Printed Page 66565 Start Printed Page 66566 3. On pages 49467 through 49468, the table titled “Table II—Impact Analysis of Changes for FY 2023 Acute Care Hospital Operating Prospective Payment System (Payments per discharge)” is corrected to read as follows. Start Printed Page 66567 Start Printed Page 66568 Start Printed Page 66569 4. On page 49469, lower half of the page, third column, first partial paragraph, a.

Line 9, the figure “$88.45 million” is corrected to read “$164.72 million”. B. Line 12, the figure “$33.9 million” is corrected to read “$110.17 million”. 5. On page 49470, a.

Top of the page, in the table titled “FY 2023 Estimates for New Technology Add-On Payments for Technologies under the Alternative Pathway for FY 2023”, the table is corrected to read as follows. b. Lower one-third of the page, in the table titled “FY 2023 Estimates for New Technology Add-On Payments for FY 2023”, the table is corrected to read as follows. FY 2023 Estimates for New Technology Add-On Payments for FY 2023CategoryEstimated Total FY 2023 ImpactTechnologies Continuing New Technology Add-On Payments in FY 2023$619,943,190.45Alternative Pathway Applications164,724,777.38Traditional Pathway Applications75,161,627.94Aggregate Estimated Total FY 2023 Impact$859,829,595.77 c. Bottom of the page, first column, partial paragraph, before line 1, the text is corrected by adding a heading to read as follows.

€œ2. Effects of Changes to Medicare DSH and Uncompensated Care Payments for FY 2023 and the New Supplemental Payment for Indian Health Service Hospitals and Tribal Hospitals and Hospitals Located in Puerto Rico”. 6. On page 49471, third column, first full paragraph, line 1, the number “2,368” is corrected to “2,367”. 7.

On pages 49472 and 49473, the table titled “Modeled Uncompensated Care Payments* and Supplemental Payments for Estimated FY 2023 DSHs by Hospital Type” is corrected to read as follows. Start Printed Page 66570 Start Printed Page 66571 8. On page 49473, lower one-fourth of the page, second column, partial paragraph, line 6, the figure “2,368” is corrected to “2,367”. 9. On page 49474, first column, second full paragraph, line 5 through the second column, second full paragraph, last line, the language (beginning with the phrase “Rural hospitals with 250+ beds are projected to receive” and ending with the sentence “Hospitals with greater than 65 percent Medicaid utilization are projected to receive an increase of 6.67 percent.”) is corrected to read as follows.

€œRural hospitals, in general, are projected to experience larger decreases in uncompensated care payments and supplemental payments compared to their uncompensated care payments in FY 2022, as compared to their urban counterparts. Overall, rural hospitals are projected to receive a 6.00 percent decrease in payments, which is a greater decrease than the overall hospital average, while urban hospitals are projected to receive a 2.90 percent decrease in payments, which is a slightly smaller decrease than the overall hospital average. Among rural hospitals, by bed size, larger rural hospitals are projected to receive the smallest decreases in uncompensated care payments and supplemental payments. Rural hospitals with 250+ beds are projected to receive a 4.53 percent payment decrease, and rural hospitals with 100-249 beds are projected to receive a 6.82 percent decrease. Smaller rural hospitals with 0-99 beds are projected to receive a 5.81 percent payment decrease.

Among urban hospitals, the smallest hospitals, those with 0-99 beds, are projected to receive a 6.55 percent decrease in payments, which is a greater decrease than the overall hospital average. In contrast, urban hospitals with 100-249 beds and those with 250+ beds are projected to receive decreases in payments of 2.68 and 2.76 percent, respectively, which are smaller decreases than the overall hospital average. In most regions, rural hospitals are generally expected to receive larger than average decreases in uncompensated care payments and supplemental payments. The exceptions are rural hospitals in the South Atlantic Region, which are projected to receive a smaller than average decrease of 1.81 percent in payments and rural hospitals in the East North Central Region and the Pacific Region, which are projected to receive payment increases of 8.09 and 24.44 percent, respectively. Regionally, urban hospitals are projected to receive a more varied range of payment changes.

Urban hospitals in the New England, Middle Atlantic, and South Atlantic Regions, as well as hospitals in Puerto Rico, are projected to receive larger than average decreases in payments. Urban hospitals in the East South Central, West North Central, West South Central, and Mountain Regions are projected to receive smaller than average decreases in payments. Urban hospitals in the East North Central and Pacific Regions are projected to receive increases in payments of 1.02 percent and 0.54 percent, respectively. By payment classification, although hospitals in urban payment areas overall are expected to receive a 2.50 percent decrease in uncompensated care payments and supplemental payments, hospitals in large urban payment areas are expected to see a decrease in payments of 1.26 percent, while hospitals in other urban payment areas are projected to receive the largest decrease of 4.88 percent. Hospitals in rural payment areas are expected to Start Printed Page 66572 receive a decrease in payments of 4.03 percent.

Nonteaching hospitals are projected to receive a payment decrease of 2.82 percent, teaching hospitals with fewer than 100 residents are projected to receive a decrease of 2.46 percent, and teaching hospitals with 100+ residents have a projected payment decrease of 3.82 percent. Proprietary and voluntary hospitals are projected to receive smaller than average decreases of 2.38 and 1.95 percent respectively, while government hospitals are expected to receive a larger than average payment decrease of 5.65 percent. Hospitals with less than 25 percent Medicare utilization and hospitals with 50 to 65 percent Medicare utilization are projected to receive smaller than average payment decreases of 2.89 and 0.38 percent, respectively, while hospitals with 25-50 percent and hospitals with greater than 65 percent Medicare utilization are projected to receive larger than average payment decreases of 3.29 and 23.83 percent, respectively. All hospitals with less than 50 percent Medicaid utilization are projected to receive smaller decreases in uncompensated care payments and supplemental payments than the overall hospital average percent change, while hospitals with 50-65 percent Medicaid utilization are projected to receive a larger than average decrease of 10.49 percent. Hospitals with greater than 65 percent Medicaid utilization are projected to receive an increase of 6.66 percent.” 10.

On page 49482, third column, first full paragraph, last line, the figure “0.9448” is corrected to read “0.9449”. 11. On page 49483, a. First column, first partial paragraph, line 1, the figure “5.52 percent” is corrected to read “5.51 percent”. B.

Second column, second full paragraph, (1) Line 5, the figure “1.6 percent” is corrected to read “1.7 percent”. (2) Line 10, the figure “1.2 percent” is corrected to read “1.4 percent”. C. Third column, last paragraph, last line, the figure “0.3 percent” is corrected to read “0.1 percent”. 12.

On pages 49484 and 49485, the table titled “TABLE III.—COMPARISON OF TOTAL PAYMENTS PER CASE [FY 2022 PAYMENTS COMPARED TO FY 2023 PAYMENTS]” is corrected to read as follows. Start Printed Page 66573 Start Printed Page 66574 13. On page 49494, third column, third full paragraph, a. Lines 2 and 3, the figure “$1.4 billion” is corrected to read “$1.5 billion”. B.

Line 14, the figure “$0.039 billion” is corrected to read “0.040 billion”. C. Lines 17 and 18, the figure “-$0.747 billion” is corrected to read “-$0.671 billion”. 14. On page 49495, a.

First column, first line, the figure “$39 million” is corrected to read “$40 million”. B. Third column, second full paragraph, last line, the figure “$1.4 billion” is corrected to read “$1.5 billion”. C. Middle of page, Table V.

€œACCOUNTING STATEMENT. CLASSIFICATION OF ESTIMATED EXPENDITURES UNDER THE IPPS FROM FY 2022 TO FY 2023” is corrected to read as follows. Start Printed Page 66575 Start List of Subjects Grant programs—healthHospitalsMedicaidMedicareReporting and recordkeeping requirements End List of Subjects Accordingly, 42 CFR chapter IV is corrected by making the following correcting amendments to part 482. Start Part End Part Start Amendment Part1. The authority citation for part 482 continues to reads as follows.

End Amendment Part Start Authority 42 U.S.C. 1302, 1395hh, and 1395rr, unless otherwise noted. End Authority Start Amendment Part2. In § 482.42, redesignate the second paragraph (f)(2)(ii) as paragraph (f)(2)(iii). End Amendment Part Start Signature Elizabeth J.

Gramling, 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-C[FR Doc. 2022-24077 Filed 11-3-22. 8:45 am]BILLING CODE 4120-01-P.

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