Evidence map›Paper›PMID 39298758›Full record

ArticleJMIR research protocols2024

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

Jonathan D Winter, J William Kerns, Nicole Brandt, Linda Wastila, Danya Qato, Roy T Sabo, Stephen Petterson, YoonKyung Chung, Sarah Reves, Christopher Winter and 7 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. A National Survey of Nursing Home Clinicians to Explain Increased Valproate Prescribing.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jonathan D WinterDepartment of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.ORCID 0000-0001-8650-5066
J William Kerns *Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.ORCID 0009-0003-2056-273X
Nicole Brandt *Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.ORCID 0000-0003-2766-6120
Linda Wastila *Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.ORCID 0000-0001-5363-1816
Danya Qato *Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.ORCID 0000-0002-6355-1526
Roy T SaboDepartment of Biostatistics, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States.ORCID 0000-0001-9159-4876
Stephen Petterson *Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.ORCID 0000-0002-2227-4307
YoonKyung Chung *Harvey L. Neiman Health Policy Institute, Reston, VA, United States.ORCID 0000-0003-3162-1275
Sarah Reves *Larry A. Green Center, Richmond, VA, United States.ORCID 0009-0009-3949-1330
Christopher Winter *Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.ORCID 0009-0008-3255-7352
Katherine M Winter *Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.ORCID 0009-0005-5781-2776
Eposi ElongePeter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.ORCID 0009-0008-5474-6808
Craig EwasiukDepartment of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.ORCID 0009-0005-7060-033X
Yu-Hua FuPeter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.ORCID 0009-0000-9978-0323
Adam FunkDepartment of Biostatistics, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States.ORCID 0009-0003-2304-7573
Alex Krist *Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.ORCID 0000-0003-4060-9155
Rebecca Etz *Larry A. Green Center, Richmond, VA, United States.ORCID 0000-0001-6906-7738

Funding

Prescribing trends and associated outcomes of antiepileptic drugs and other psychoactive medications in US nursing homes surrounding the COVID-19 pandemicR01AG074358 · NIA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Jonathan David Winter · 2022 to 2026
$3.6M
NIA NIH HHS R01 AG074358
6 · The paper itself

Abstract

backgroundPilot 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.

objectiveUsing 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.

methodsTo 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.

resultsFunding 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.

conclusionsThis 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): DERR1-10.2196/64446.

Indexed as

AnticonvulsantsCOVID-19Nursing HomesPsychotropic DrugsAgedAged, 80 and overDementiaFemaleHumansMalePractice Patterns, Physicians'Retrospective StudiesUnited StatesAnticonvulsantsPsychotropic DrugsAlzheimer diseaseantiepileptic drugantipsychoticantiseizure medicationCOVID-19dementiamood stabilizerNational Partnershipnursing home

Identifiers

PMID39298758
PMCPMC11450359

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.