Evidence map›Paper›PMID 36620097›Full record

ArticleJournal of the American College of Clinical Pharmacy : JACCP2022

Deprescribing anticholinergics in primary care older adults: Experience from two models and impact on a continuous measure of exposure.

Noll L Campbell, Christopher Pitts, Claire Corvari, Ellen Kaehr, Khalid Alamer, Parveen Chand, Kristine Nanagas, Christopher M Callahan, Malaz A Boustani

Abstract read
In one paragraph

Article in Journal of the American College of Clinical Pharmacy : JACCP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Noll L CampbellDepartment of Pharmacy Practice Purdue University College of Pharmacy West Lafayette Indiana USA.ORCID https://orcid.org/0000-0002-8933-9339
Christopher PittsAscenscion St. Vincent North Region Evansville Indiana USA.
Claire CorvariDepartment of Pharmacy Franciscan Health Indianapolis Indiana USA.
Ellen KaehrSandra Eskenazi Center for Brain Care Innovation Eskenazi Health Indianapolis Indiana USA.
Khalid AlamerDepartment of Pharmacy Practice Purdue University College of Pharmacy West Lafayette Indiana USA.
Parveen ChandAscenscion St. Vincent North Region Evansville Indiana USA.
Kristine NanagasAscenscion St. Vincent North Region Evansville Indiana USA.
Christopher M CallahanIndiana University Center for Aging Research, Regenstrief Institute, Inc. Indianapolis Indiana USA.
Malaz A BoustaniIndiana University Center for Aging Research, Regenstrief Institute, Inc. Indianapolis Indiana USA.

Funding

Reducing Risk of Dementia through De-prescribing (R2D2)R01AG061452 · NIA · PURDUE UNIVERSITY · PI CAMPBELL, NOLL L. · 2019 to 2023
$3.3M
Evaluating the Adverse Cognitive Effects of MedicationsK23AG044440 · NIA · PURDUE UNIVERSITY · PI CAMPBELL, NOLL L. · 2014 to 2018
$728k
AHRQ HHS P30 HS024384NIA NIH HHS K23 AG044440NIA NIH HHS R01 AG061452
6 · The paper itself

Abstract

Background: Deprescribing interventions delivered through the electronic medical record have not significantly reduced the use of high-risk anticholinergics in prior trials. Pharmacists have been identified as ideal practitioners to conduct deprescribing; however, little experience beyond collaborative consult models has been published. Objective: To evaluate the impact of two pilot pharmacist-based advanced practice models nested within primary care. Methods: Pilot studies of a collaborative clinic-based pharmacist deprescribing intervention and a telephone-based pharmacist deprescribing intervention were conducted. Patients receiving the clinic-based pharmacy model were aged 55 years and older and referred for deprescribing at a specialty clinic. Patients receiving the telephone-based pharmacy model were aged 65 years and older and called by a clinical pharmacist for deprescribing without referral. Deprescribing was defined as a discontinuation or dose reduction reported either in clinical records or through self-reporting. Results: The 18 patients receiving clinic-based deprescribing had a mean age of 68 years and 78% were female. Among 24 medications deemed eligible for deprescribing, 23 (96%) were deprescribed. The clinic-based deprescribing model resulted in a 93% reduction in median annualized total standardized dose (TSD), 56% lowered their annualized exposure below a cognitive risk threshold, and 4 (17%) of medications were represcribed within 6 months. The 24 patients receiving telephone-based deprescribing had a mean age of 73 years and 92% were female. Among 24 medications deemed eligible for deprescribing, 12 (50%) were deprescribed. There was no change in the median annualized TSD, the annualized TSD was lowered below a cognitive risk threshold in 46%, and no medications were represcribed within 6 months. Few withdrawal symptoms or adverse events were reported in both groups. Conclusions: Pharmacist-based deprescribing successfully reduced exposure to high-risk anticholinergics in primary care older adults, yet further work is needed to understand the impact on clinical outcomes.

Indexed as

cholinergic antagonistdeprescriptionpharmaceutical services

Identifiers

PMID36620097
PMCPMC9796793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.