Literature DB >> 31967325

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

Shekinah Fashaw1,2, Latarsha Chisholm3, Vincent Mor1,2,4, David J Meyers1,2, Xinliang Liu3, Denise Gammonley5, Kali Thomas1,2,4.   

Abstract

OBJECTIVES: 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.
DESIGN: 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.
SETTING: Free-standing NHs in the United States. PARTICIPANTS: The sample consisted of 12 964 NHs. MEASUREMENTS: 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.
RESULTS: 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).
CONCLUSION: 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. J Am Geriatr Soc 68:630-636, 2020.
© 2020 The American Geriatrics Society.

Entities:  

Keywords:  medication restraint use; nursing home; quality of care; racial/ethnic disparities; socioeconomic disparities

Mesh:

Substances:

Year:  2020        PMID: 31967325      PMCID: PMC7110922          DOI: 10.1111/jgs.16316

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  27 in total

1.  Influence of facility characteristics on use of antipsychotic medications in nursing homes.

Authors:  C M Hughes; K L Lapane; V Mor
Journal:  Med Care       Date:  2000-12       Impact factor: 2.983

2.  Prevalence and predictors of anticholinergic medication use in elderly nursing home residents with dementia: analysis of data from the 2004 National Nursing Home Survey.

Authors:  Satabdi Chatterjee; Sandhya Mehta; Jeffrey T Sherer; Rajender R Aparasu
Journal:  Drugs Aging       Date:  2010-12-01       Impact factor: 3.923

3.  Facility and county effects on racial differences in nursing home quality indicators.

Authors:  Susan C Miller; George Papandonatos; Mary Fennell; Vincent Mor
Journal:  Soc Sci Med       Date:  2006-09-25       Impact factor: 4.634

4.  Racial disparities in access to long-term care: the illusive pursuit of equity.

Authors:  David Barton Smith; Zhanlian Feng; Mary L Fennell; Jacqueline Zinn; Vincent Mor
Journal:  J Health Polit Policy Law       Date:  2008-10       Impact factor: 2.265

5.  Relationship between state medicaid policies, nursing home racial composition, and the risk of hospitalization for black and white residents.

Authors:  Andrea Gruneir; Susan C Miller; Zhanlian Feng; Orna Intrator; Vincent Mor
Journal:  Health Serv Res       Date:  2008-06       Impact factor: 3.402

6.  The effects of public reporting on physical restraints and antipsychotic use in nursing home residents with severe cognitive impairment.

Authors:  R Tamara Konetzka; Daniel J Brauner; Joseph Shega; Rachel M Werner
Journal:  J Am Geriatr Soc       Date:  2014-03-11       Impact factor: 5.562

7.  Persistence of racial disparities in prescription of first-generation antipsychotics in the USA.

Authors:  Thomas B Cook; Gloria M Reeves; James Teufel; Teodor T Postolache
Journal:  Pharmacoepidemiol Drug Saf       Date:  2015-07-01       Impact factor: 2.890

8.  The Minimum Data Set 3.0 Cognitive Function Scale.

Authors:  Kali S Thomas; David Dosa; Andrea Wysocki; Vincent Mor
Journal:  Med Care       Date:  2017-09       Impact factor: 2.983

9.  Results of a longitudinal analysis of national data to examine relationships between organizational and market characteristics and changes in antipsychotic prescribing in US nursing homes from 1996 through 2006.

Authors:  Nicholas G Castle; Joseph T Hanlon; Steven M Handler
Journal:  Am J Geriatr Pharmacother       Date:  2009-06

Review 10.  Variation in use of antipsychotic medications in nursing homes in the United States: A systematic review.

Authors:  Hannah Cioltan; Samah Alshehri; Carol Howe; Jeannie Lee; Mindy Fain; Howard Eng; Kenneth Schachter; Jane Mohler
Journal:  BMC Geriatr       Date:  2017-01-26       Impact factor: 3.921

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  3 in total

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Authors:  Maricruz Rivera-Hernandez; Amit Kumar; Indrakshi Roy; Shekinah Fashaw-Walters; Julie A Baldwin
Journal:  J Aging Health       Date:  2021-10-11

2.  Evidence for Action: Addressing Systemic Racism Across Long-Term Services and Supports.

Authors:  Tetyana Pylypiv Shippee; Chanee D Fabius; Shekinah Fashaw-Walters; John R Bowblis; Manka Nkimbeng; Taylor I Bucy; Yinfei Duan; Weiwen Ng; Odichinma Akosionu; Jasmine L Travers
Journal:  J Am Med Dir Assoc       Date:  2021-12-24       Impact factor: 4.669

3.  Antipsychotic initiation and new diagnoses excluded from quality-measure reporting among Veterans in community nursing homes contracted by the Veterans Health Administration in the United States.

Authors:  Patience Moyo; Emily Corneau; Portia Y Cornell; Amy L Mochel; Kate H Magid; Cari Levy; Vincent Mor
Journal:  Int J Methods Psychiatr Res       Date:  2021-11-05       Impact factor: 4.035

  3 in total

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