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      Quality Gap in Long-Stay Antipsychotic Quality Measure Performance Widens Over the Pandemic, Reversing Past Gains

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          Abstract

          The Centers for Medicare & Medicaid Services (CMS) grades nursing home performance in antipsychotic prescribing quarterly, publishing findings as a quality measure. While scores have improved since 2011, marked performance variation between facilities persists. To assess quality gap changes between best- and worst-performing deciles, we compared quarterly prescribing changes between these groups pre-pandemic (April 2011 to March 2020) and during the pandemic (April 2020 to March 2022). Antipsychotic quality measure scores, improving pre-pandemic, deteriorated during the pandemic. The pre-pandemic quality gap between the best- and worst-performing deciles narrowed as the worst-performing decile improved faster than the best-performing decile. During the pandemic, the quality gap widened as the worst-performing decile relapsed more than the best-performing decile ( p < .0001). The pandemic disrupted quality performance gains and compounded disparities between facilities. A better understanding of the factors allowing high performers to weather pandemic stressors better than poor performers may reveal opportunities to improve nursing home quality and equity for all residents.

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          Nursing Home Care in Crisis in the Wake of COVID-19

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            Inappropriate Antipsychotic Use: The Impact of Nursing Home Socioeconomic and Racial Composition

            Previous research suggests black nursing home (NH) residents are more likely to receive inappropriate antipsychotics. Our aim was to examine how NH characteristics, particularly the racial and socioeconomic composition of residents, are associated with the inappropriate use of antipsychotics. This study used a longitudinal approach to examine national data from Long-Term Care: Facts on Care in the US (LTCFocUS.org) between 2000 and 2015. We used a multivariate linear regression model with year and state fixed effects to estimate the prevalence of inappropriate antipsychotic use at the NH level. Free-standing NHs in the United States. The sample consisted of 12 964 NHs. The outcome variable was inappropriate antipsychotic use at the facility level. The primary indicator variables were whether a facility had high proportions of black residents and the percentage of residents with Medicaid as their primary payer. NHs with high and low proportions of blacks had similar rates of antipsychotic use in the unadjusted analyses. NHs with high proportions of black residents had significantly lower rates of inappropriate antipsychotic use (β = −2; P < .001) in the adjusted analyses. Facilities with high proportions of Medicaid-reliant residents had higher proportions of inappropriate use (β = .04; P < .001). Findings from this study indicate a decline in the use of antipsychotics. Although findings from this study indicated facilities with higher proportions of blacks had lower inappropriate antipsychotic use, facility-level socioeconomic disparities continued to persist among NHs. Policy interventions that focus on reimbursement need to be considered to promote reductions in antipsychotic use, specifically among Medicaid-reliant NHs.
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              Community, social, and facility factors and long-stay antipsychotic use

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                Author and article information

                Journal
                Gerontol Geriatr Med
                Gerontol Geriatr Med
                GGM
                spggm
                Gerontology & Geriatric Medicine
                SAGE Publications (Sage CA: Los Angeles, CA )
                2333-7214
                18 June 2024
                Jan-Dec 2024
                : 10
                : 23337214241262914
                Affiliations
                [1 ]Department of Family Medicine & Population Health, Virginia Commonwealth University School of Medicine, Richmond, USA
                [2 ]Shenandoah Valley Family Practice Residency, Front Royal, VA, USA
                [3 ]University of Maryland School of Pharmacy, Baltimore, USA
                [4 ]Shenandoah University School of Nursing, Winchester, VA, USA
                [5 ]Peter Lamy Center on Drug Therapy & Aging, Baltimore, USA
                [6 ]Harvey L. Neiman Health Policy Institute, Reston, VA, USA
                [7 ]Department of Biostatistics, Virginia Commonwealth University School of Medicine, Richmond, USA
                [8 ]Larry A. Green Center, Richmond, VA, USA
                Author notes
                [*]Jonathan D. Winter, Virginia Commonwealth University—Shenandoah Family Practice Residency, 351 Valley Health Way, Suite 300, Front Royal, VA 22630, USA. Email: jwinter@ 123456valleyhealthlink.com
                Author information
                https://orcid.org/0000-0001-8650-5066
                https://orcid.org/0009-0003-2056-273X
                Article
                10.1177_23337214241262914
                10.1177/23337214241262914
                11186389
                38899053
                da313237-24a2-44a7-a79a-bd97442138a8
                © The Author(s) 2024

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 10 April 2024
                : 17 May 2024
                : 3 June 2024
                Funding
                Funded by: National Institute on Aging, FundRef https://doi.org/10.13039/100000049;
                Award ID: R01AG074358
                Categories
                The COVID-19 Pandemic Effects on Older Adults, Families, Caregivers, Health Care Providers and Communities
                Brief Report
                Custom metadata
                January-December 2024
                ts1

                nursing home,antipsychotic,quality measure,quality,equity,equality

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