Prescribing trends and associated outcomes of antiepileptic drugs and other psychotropic medications in US nursing homes: A mixed-method investigation incorporating a secondary data analysis of multiple CMS datasets and a clinician survey
Author:
Winter Jonathan D.1, Kerns J. William1, Brandt Nicole2, Simoni-Wastila Linda2, Qato Danya2, Sabo Roy3, Petterson Stephen3, Chung YoonKyung4, Reves Sarah5, Winter Christopher3, Winter Katherine1, Ewusiak Craig3, Krist Alex3, Elonge Eposi2, Fu Yu-Hua2, Etz Rebecca5
Affiliation:
1. VCU-Shenandoah Family Practice Residency, Front Royal, Virginia 2. Peter Lamy Center on Drug Therapy and Aging, University of Maryland School of Pharmacy, Baltimore, Maryland 3. Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, Virginia 4. Harvey L. Neiman Health Policy Institute, Reston, Virginia 5. Larry A. Green Center, Richmond, Virginia
Abstract
Abstract
Background: Pilot data suggests off-label unmonitored antiepileptic drug (AED) 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 harms may be increasing and concentrated in vulnerable populations.
Methods and analysis: A mixed-methods study, including a retrospective secondary data analysis and a national clinician survey, will investigate 1) the appropriateness of AED and other psychotropic prescribing in US nursing homes; 2) characteristics and outcomes associated with this prescribing; and 3) how these phenomena may be changing under the combined stressors of the pandemic and medication reduction initiatives. Quantitative data analysis will draw on data elements, linked at an individual level, from CMS’s Minimum Data Set, Medicare Part D, MedPAR, Outpatient, and Public Use Files. Data will be organized into quarterly cohorts of nursing home residents for the years 2009-2021. Each cohort will incorporate individual level data including: demographics, health status, disease variables, psychotropic medication claims, comprehensive nursing home health outcomes, hospital and ER adverse events, and long-stay facility details, including staffing resources and COVID-19 statistics. To help explain and validate findings, we will conduct a national qualitative survey of nursing home prescribers regarding their knowledge and beliefs surrounding changing approaches to dementia care and associated outcomes.
Discussion: This study will detail appropriate and inappropriate AED use and related outcomes in nursing homes, as well as describe disparities in long-stay sub-populations 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-method approach, including processes that link multiple CMS datasets 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.
Trial Registration: Pending
Publisher
Research Square Platform LLC
Reference91 articles.
1. CMS Announces National Partnership to Improve Dementia Care in Nursing Homes. 2012 2. https://www.cms.gov/Newsroom/MediaReleaseDatabase/Press-Releases/2012-Press-Releases-Items/2012-05-30.html. Accessed August 26, 2016. 3. Antipsychotic use among nursing home residents;Briesacher BA;JAMA,2013 4. Postmarket Drug Safety Iniformation for Patients and Providers: Public Health Advisory: Deaths with Antipsychotics in Elderly Patients with Behavioral Disturbances. 2005; http://www.fda.gov/Drugs/DrugSafety/PostmarketDrugSafetyInformationforPatientsandProviders/ucm053171.htm. Accessed August 26, 2016. 5. FDA NEWS RELEASE 2008: FDA Requests Boxed Warnings on Older Class of Antipsychotic Drugs. 2008; http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/2008/ucm116912.htm. Accessed August 26, 2016.
|
|