ArticleBasic & clinical pharmacology & toxicology2024
The Patient Typology about deprescribing and medication-related decisions: A quantitative exploration.
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.
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Who cites it
7 citing papers in PubMed.
- Deprescribing Decisions in Swiss Primary Care: Low Concordance Between General Practitioners and Older Adults.Journal of general internal medicine · 2026Article
- Refining MediQuit: an iterative, participatory approach to shared decision-making in deprescribing.Implementation science communications · 2026Article
- Trust first, concerns second: An international vignette study of older adults' preferences towards deprescribing statins.British journal of clinical pharmacology · 2026Article
- Identifying deprescribing profiles in older adults from 14 countries using the Patient Deprescribing Typology.Innovation in aging · 2026Article
- An Educational Intervention to Promote Central Nervous System-Active Deprescribing in Dementia: A Pilot Study.Drugs & aging · 2025Article
- Latent Class Analysis Identifies Four Distinct Patient Deprescribing Typologies Among Older Adults in Four Countries.Innovation in aging · 2025Article
- Investigating Older Adults' Perceptions of AI Tools for Medication Decisions: Vignette-Based Experimental Survey.Journal of medical Internet research · 2024Article
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Authors and funding
6 authors.
Funding
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.
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