Prescribing Trends and Associated Outcomes of Antiepileptic Drugs and Other Psychotropic Medications in US Nursing Homes: Proposal for a Mixed Methods Investigation.


Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
19 Sep 2024
Historique:
received: 17 07 2024
accepted: 22 07 2024
revised: 21 07 2024
medline: 20 9 2024
pubmed: 20 9 2024
entrez: 19 9 2024
Statut: epublish

Résumé

Pilot data suggest that off-label, unmonitored antiepileptic drug prescribing for behavioral and psychological symptoms of dementia is increasing, replacing other psychotropic medications targeted by purposeful reduction efforts. This trend accelerated during the COVID-19 pandemic. Although adverse outcomes related to this trend remain unknown, preliminary results hint that harms may be increasing and concentrated in vulnerable populations. Using a mixed methods approach including both a retrospective secondary data analysis and a national clinician survey, this study aims to describe appropriate and potentially inappropriate antiepileptic and other psychoactive drug prescribing in US nursing homes (NHs), characteristics and patient-oriented outcomes associated with this prescribing, and how these phenomena may be changing under the combined stressors of the COVID-19 pandemic and the pressure of reduction initiatives. To accomplish the objective, resident-level, mixed-effects regression models and interrupted time-series analyses will draw on cohort elements linked at an individual level from the Centers for Medicare and Medicaid Services' (CMS) Minimum Data Set, Medicare Part D, Medicare Provider Analysis and Review, and Outpatient and Public Use Files. Quarterly cohorts of NH residents (2009-2021) will incorporate individual-level data, including demographics; health status; disease variables; psychotropic medication claims; comprehensive NH health outcomes; hospital and emergency department adverse events; and NH details, including staffing resources and COVID-19 statistics. To help explain and validate findings, we will conduct a national qualitative survey of NH prescribers regarding their knowledge and beliefs surrounding changing approaches to dementia care and associated outcomes. Funding was obtained in September 2022. Institutional review board exemption approval was obtained in January 2023. The CMS Data Use Agreement was submitted in May 2023 and signed in March 2024. Data access was obtained in June 2024. Cohort creation is anticipated by January 2025, with crosswalks finalized by July 2025. The first survey was fielded in October 2023 and published in July 2024. The second survey was fielded in March 2024. The results are in review as of July 2024. Iterative survey cycles will continue biannually until December 2026. Multidisciplinary dissemination of survey analysis results began in July 2023, and dissemination of secondary data findings is anticipated to begin January 2025. These processes are ongoing, with investigation to wrap up by June 2027. This study will detail appropriate and inappropriate antiepileptic drug use and related outcomes in NHs and describe disparities in long-stay subpopulations treated or not treated with psychotropics. It will delineate the impact of the pandemic in combination with national policies on dementia management and outcomes. We believe this mixed methods approach, including processes that link multiple CMS data sets at an individual level and survey-relevant stakeholders, can be replicated and applied to evaluate a variety of patient-oriented questions in diverse clinical populations. DERR1-10.2196/64446.

Sections du résumé

BACKGROUND BACKGROUND
Pilot data suggest that off-label, unmonitored antiepileptic drug prescribing for behavioral and psychological symptoms of dementia is increasing, replacing other psychotropic medications targeted by purposeful reduction efforts. This trend accelerated during the COVID-19 pandemic. Although adverse outcomes related to this trend remain unknown, preliminary results hint that harms may be increasing and concentrated in vulnerable populations.
OBJECTIVE OBJECTIVE
Using a mixed methods approach including both a retrospective secondary data analysis and a national clinician survey, this study aims to describe appropriate and potentially inappropriate antiepileptic and other psychoactive drug prescribing in US nursing homes (NHs), characteristics and patient-oriented outcomes associated with this prescribing, and how these phenomena may be changing under the combined stressors of the COVID-19 pandemic and the pressure of reduction initiatives.
METHODS METHODS
To accomplish the objective, resident-level, mixed-effects regression models and interrupted time-series analyses will draw on cohort elements linked at an individual level from the Centers for Medicare and Medicaid Services' (CMS) Minimum Data Set, Medicare Part D, Medicare Provider Analysis and Review, and Outpatient and Public Use Files. Quarterly cohorts of NH residents (2009-2021) will incorporate individual-level data, including demographics; health status; disease variables; psychotropic medication claims; comprehensive NH health outcomes; hospital and emergency department adverse events; and NH details, including staffing resources and COVID-19 statistics. To help explain and validate findings, we will conduct a national qualitative survey of NH prescribers regarding their knowledge and beliefs surrounding changing approaches to dementia care and associated outcomes.
RESULTS RESULTS
Funding was obtained in September 2022. Institutional review board exemption approval was obtained in January 2023. The CMS Data Use Agreement was submitted in May 2023 and signed in March 2024. Data access was obtained in June 2024. Cohort creation is anticipated by January 2025, with crosswalks finalized by July 2025. The first survey was fielded in October 2023 and published in July 2024. The second survey was fielded in March 2024. The results are in review as of July 2024. Iterative survey cycles will continue biannually until December 2026. Multidisciplinary dissemination of survey analysis results began in July 2023, and dissemination of secondary data findings is anticipated to begin January 2025. These processes are ongoing, with investigation to wrap up by June 2027.
CONCLUSIONS CONCLUSIONS
This study will detail appropriate and inappropriate antiepileptic drug use and related outcomes in NHs and describe disparities in long-stay subpopulations treated or not treated with psychotropics. It will delineate the impact of the pandemic in combination with national policies on dementia management and outcomes. We believe this mixed methods approach, including processes that link multiple CMS data sets at an individual level and survey-relevant stakeholders, can be replicated and applied to evaluate a variety of patient-oriented questions in diverse clinical populations.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/64446.

Identifiants

pubmed: 39298758
pii: v13i1e64446
doi: 10.2196/64446
doi:

Substances chimiques

Psychotropic Drugs 0
Anticonvulsants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e64446

Informations de copyright

©Jonathan D Winter, J William Kerns, Nicole Brandt, Linda Wastila, Danya Qato, Roy T Sabo, Stephen Petterson, YoonKyung Chung, Sarah Reves, Christopher Winter, Katherine M Winter, Eposi Elonge, Craig Ewasiuk, Yu-Hua Fu, Adam Funk, Alex Krist, Rebecca Etz. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 19.09.2024.

Auteurs

Jonathan D Winter (JD)

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

J William Kerns (JW)

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

Nicole Brandt (N)

Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.

Linda Wastila (L)

Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.

Danya Qato (D)

Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.

Roy T Sabo (RT)

Department of Biostatistics, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States.

Stephen Petterson (S)

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

YoonKyung Chung (Y)

Harvey L. Neiman Health Policy Institute, Reston, VA, United States.

Sarah Reves (S)

Larry A. Green Center, Richmond, VA, United States.

Christopher Winter (C)

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

Katherine M Winter (KM)

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

Eposi Elonge (E)

Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.

Craig Ewasiuk (C)

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

Yu-Hua Fu (YH)

Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.

Adam Funk (A)

Department of Biostatistics, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States.

Alex Krist (A)

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

Rebecca Etz (R)

Larry A. Green Center, Richmond, VA, United States.

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Classifications MeSH