Evidence map›Paper›PMID 37300477›Full record

ArticleBasic & clinical pharmacology & toxicology2024

The Patient Typology about deprescribing and medication-related decisions: A quantitative exploration.

Kristie Rebecca Weir, Aaron M Scherer, Sarah E Vordenberg, Sven Streit, Jesse Jansen, Katharina Tabea Jungo

Abstract read
In one paragraph

Article in Basic & clinical pharmacology & toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Kristie Rebecca WeirInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-9507-5050
Aaron M SchererUniversity of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
Sarah E VordenbergDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.
Sven StreitInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Jesse JansenFaculty of Health, Medicine and Life Sciences, School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands.
Katharina Tabea JungoInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.

Funding

U.S. Deprescribing Research NetworkR24AG064025 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI BOYD, CYNTHIA MELINDA, STEINMAN, MICHAEL A. · 2019 to 2023
$9.9M
Creating Innovative Vaccine Messaging by Engaging in Patient-Centered Design with Non-Vaccinating Older AdultsK01AG065440 · NIA · UNIVERSITY OF IOWA · PI SCHERER, AARON MICHAEL · 2020 to 2024
$611k
NIA NIH HHS 1K01AG065440NIA NIH HHS K01 AG065440NIA NIH HHS R24 AG064025NIA NIH HHS R24AG064025Swiss National Science Foundation P500PM_206728
6 · The paper itself

Abstract

This study aimed to test the adequacy of a quantitative measure of our qualitatively developed Patient Typology-categories of older adults' attitudes towards medicines and medicine decision-making-and identify characteristics associated with each Typology. We conducted secondary data analyses of a subset of survey item measures of adults (≥65 years) who were members of online survey panels in Australia, the United Kingdom, the United States and the Netherlands (n = 4688). Multinomial logistic regression analyses assessed associations between demographic, psychosocial and medication-related measures. Mean age was 71.5 (5), and 47.5% of participants were female. Factors associated with an increased likelihood of identifying with Typology 1 'Attached to medicines' over Typology 2 'Open to deprescribing' were higher positive attitude towards polypharmacy (RRR = 1.12, p = <0.001) and higher need for certainty (RRR = 1.11, p = 0.039). Factors associated with an increased likelihood of identifying with Typology 3 'Defers (medication decision-making) to others' over Typology 2 were older age (RRR = 1.47 per 10-year age increase, p = <0.001) and a decreased likelihood of prior deprescribing experience (RRR = 0.73, p = 0.033). This study provides validation of the Typology with large samples from four countries, with the quantitatively-measured typologies generally aligning with the qualitatively derived categories. Our Patient Typology measure provides a succinct way researchers can assess attitudes towards deprescribing.

Indexed as

DeprescriptionsAgedAustraliaClinical Decision-MakingFemaleHumansMalePolypharmacySurveys and Questionnairesattitudes towards medicinescommunicationconsumer preferencesquantitative research methods polypharmacyshared decision-making

Identifiers

PMID37300477
PMCPMC11187678

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Registered trials

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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.