Evidence map›Paper›PMID 42378629›Full record

ArticleJournal of the American Geriatrics Society2026

Anticholinergic Medication Use in Veterans Affairs Long-Term Care Residents: Clinical Patterns and Opportunities for Deprescribing.

Cellas A Hayes, Yongmei Li, Bocheng Jing, Laura A Graham, Chintan Dave, Michelle C Odden

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2026. 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. 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

6 authors.

Cellas A HayesDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.ORCID 0000-0002-6259-9456
Yongmei LiDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Bocheng JingDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Laura A GrahamHealth Economics Resource Center, VA Palo Alto Health Care System, Palo Alto, California, USA.
Chintan DaveCenter for Health Outcomes, Policy, and Economics, College of Pharmacy, Rutgers University, New Brunswick, New Jersey, USA.
Michelle C OddenDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.ORCID 0000-0002-5974-3648

Funding

The Health & Aging Brain Study - Health Disparities (HABS-HD)U19AG078109 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Sid E O'Bryant · 2022 to 2026
$181.1M
Deprescribing Cardiovascular Medications among Persons with and without Alzheimer's Disease and Related Dementias in Long-Term CareR01AG062568 · NIA · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI Christine Kee Liu, Michelle Christina Odden · 2024 to 2026
$2.3M
Burroughs Wellcome Fund Postdoctoral Enrichment Program 1267001NIA NIH HHS R01 AG062568NIA NIH HHS U19 AG078109NIH HHS R01AG062568-03S1NIH NIA Health Enhancement Scientific Program U19AG078109
6 · The paper itself

Abstract

backgroundAnticholinergic exposure is common in nursing homes; however, the true burden may be underestimated, particularly due to over-the-counter agents such as first-generation antihistamines that are not consistently captured in prior claims-based studies. This gap limits accurate characterization of anticholinergic use and its clinical implications in older adults. PARTICIPANTS AND

settingVeterans aged ≥ 65 years with stays ≥ 90 days (N = 45,183) residing in US Department of Veterans Affairs (VA) Community Living Centers (CLC). This study is a secondary data analysis of residents identified during fiscal years 2007-2019.

methodsTrue anticholinergic exposure through barcode-based medication administration dispensing records allowed daily measurement of anticholinergic exposure, with follow-up extending from admission to discharge, death, or April 1, 2025. Anticholinergic medication use was defined as use ≥ 4 days per week during the CLC stay. Drugs were identified using VA classifications aligned with the 2023 American Geriatrics Society Beers Criteria and grouped into nine anticholinergic classes. Outcomes included prevalence, duration, and number of anticholinergic drug classes used; patterns by dementia status; and temporal trends over time.

resultsAmong 45,183 CLC residents, 33.4% (n = 15,074) used anticholinergic medications. Residents with dementia (n = 20,254) showed substantial exposure to neuropsychiatric anticholinergics, including second-generation antipsychotics (30.6%) and antiparkinsonian agents (10.1%). First-generation antihistamine use remained high in this group (29.5%). Residents without dementia (n = 24,929) more frequently received antihistamines (34.4%), bladder antimuscarinics (23.7%), and skeletal muscle relaxants (11.1%). From FY2007-2019, anticholinergic use declined modestly, with decreases in antihistamines (12.1%-8.8%), antidepressants (6.8%-3.5%), and antiemetic/antivertigo agents (5.2%-1.2%). Most residents used a single anticholinergic class, increasing from 75.5% to 82.2% over time.

conclusionsAlthough some anticholinergic classes may be clinically necessary, our findings highlight potentially underrecognized and modifiable sources of exposure, particularly first-generation antihistamines, underscoring the need for deprescribing efforts.

Indexed as

Cholinergic AntagonistsDeprescriptionsLong-Term CarePractice Patterns, Physicians'VeteransAgedAged, 80 and overFemaleHumansMaleNursing Home ResidentsNursing HomesUnited StatesUnited States Department of Veterans AffairsCholinergic Antagonistsanticholinergic medicationsdementiadeprescribinglong‐term carethe American Geriatrics Society (AGS) Beers Criteria

Identifiers

PMID42378629
PMCPMC13496342

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.