Evidence map›Paper›PMID 40530371›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2024

Pharmacist-Driven Deprescribing to Reduce Anticholinergic Burden in Veterans With Dementia.

Bailey Deglow, Holly Embree, Jiahui Chen

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Bailey DeglowVeterans Affairs Louisville Healthcare System, Kentucky.
Holly EmbreeVeterans Affairs Louisville Healthcare System, Kentucky.
Jiahui ChenVeterans Affairs Louisville Healthcare System, Kentucky.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The American Geriatrics Society Beers Criteria strongly recommends avoiding anticholinergic medications in patients with dementia or cognitive impairment due to the risk of adverse central nervous system effects. In the veteran population, about 35% of patients with dementia are prescribed a medication regimen with a high anticholinergic burden. This article examines the role of pharmacists for reducing anticholinergic burden in veterans with dementia. Observations: Outpatients with dementia or cognitive impairment at the Veterans Affairs Louisville Healthcare System who were prescribed a potentially inappropriate anticholinergic medication as classified by the Beers Criteria were selected using the VIONE (Vital, Important, Optional, Not needed, Every medication has an indication) deprescribing dashboard. Electronic health record medication reviews were completed by a pharmacist. The prescriber and patient's primary care practitioner were advised to perform patient-specific risk-benefit assessments, deprescribe potentially inappropriate anticholinergic medications, and consider safer alternative medications based on the indication. Conclusions: This quality improvement project suggests that with the use of population health management tools and in collaboration with the interdisciplinary team, pharmacists can identify and deprescribe inappropriate anticholinergic medications. Pharmacists can provide evidence-based recommendations to guide risk-benefit discussion and consider safer nonanticholinergic alternatives (both pharmacologic and nonpharmacologic), aiding in anticholinergic deprescribing.

Identifiers

PMID40530371
PMCPMC12169641

What OpenQuestion holds

Textmetadata
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.