Evidence map›Paper›PMID 35661991›Full record

ArticleJournal of the American Geriatrics Society2022

Association between willingness to deprescribe and health outcome priorities among U.S. older adults: Results of a national survey.

Ariel R Green, Hélène Aschmann, Cynthia M Boyd, Nancy Schoenborn

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Article
  4. Review
  5. Article
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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

4 authors.

Ariel R GreenDivision of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-4127-4617
Hélène AschmannDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Cynthia M BoydDivision of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nancy SchoenbornDivision of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-5053-5132

Funding

U.S. Deprescribing Research NetworkR24AG064025 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI BOYD, CYNTHIA MELINDA, STEINMAN, MICHAEL A. · 2019 to 2023
$9.9M
Patient-Centered Care for Older Adults with Multiple Chronic Conditions: Research and Mentoring ProgramK24AG056578 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2017 to 2021
$1.1M
Improving cancer screening in older adults with limited life expectancyK76AG059984 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHOENBORN, NANCY · 2018 to 2021
$972k
Bladder Antimuscarinics in Dementia: A Model of Decisions About Potentially Inappropriate MedicinesK23AG054742 · NIA · JOHNS HOPKINS UNIVERSITY · PI GREEN, ARIEL · 2017 to 2020
$795k
NIA NIH HHS K23 AG054742NIA NIH HHS K24 AG056578NIA NIH HHS K76 AG059984NIA NIH HHS R24 AG064025Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
6 · The paper itself

Abstract

backgroundIt is not known whether older adults' willingness to deprescribe is associated with their health outcome priorities related to medications.

methodsA cross-sectional survey was conducted from March-April 2020 using a nationally representative online panel. The survey presented two vignettes: (1) a preventive medicine; and (2) a symptom-relief medicine. Participants were asked whether they would be willing to stop each medicine if their doctor recommended it, and to rate their level of agreement with two health outcome priorities statements: "I am willing to accept the risk of future side effects … to feel better now," and "I would prefer to take fewer medicines, even if … I may not live as long or may have bothersome symptoms sometimes." Ordinal logistic regression was used to examine associations between willingness to stop each medicine, baseline characteristics and health outcome priorities.

resultsOf 1193 panel members ≥65 years invited to participate, 835 (70%) completed the survey. Mean (SD) age was 73 years; 496 (59%) had taken a statin and 124 (15%) a prescription sedative-hypnotic. 507 (61%) were willing to stop preventive medicines; 276 (33%) were maybe willing. 419 (50%) were willing to stop symptom-relief medicines; 380 (46%) were maybe willing. Prioritizing fewer medicines was associated with higher odds of being willing to stop symptom-relief medicines (aOR 1.43 [95% CI 1.02-2.00]) and preventive medicines (aOR 1.52 [95% CI 1.05-2.18]). Prioritizing now over future was associated with lower odds of being willing to stop symptom-relief medicines (aOR 0.62 [95% CI 0.39-1.00]). Current/prior use of statins was associated with lower willingness to stop preventive medicines (aOR 0.66 [95% CI 0.48-0.91]).

conclusionsOlder adults' health outcome priorities related to medication use are associated with their willingness to consider deprescribing. Future research should determine how best to elicit patients' health outcome priorities to facilitate goal-concordant decisions about medication use.

Indexed as

DeprescriptionsHydroxymethylglutaryl-CoA Reductase InhibitorsAgedCross-Sectional StudiesHumansHypnotics and SedativesOutcome Assessment, Health CareSurveys and QuestionnairesHydroxymethylglutaryl-CoA Reductase InhibitorsHypnotics and Sedativesdeprescribinghealth outcome prioritiespreventive medicinessymptom-relief medicines

Identifiers

PMID35661991
PMCPMC9588518

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.