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The Patient Typology About Deprescribing and Medication-related Decisions: A Quantitative Exploration

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Specialties Pharmacology
Toxicology
Date 2023 Jun 10
PMID 37300477
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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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References
1.
Wallace L, Rogers E, Roskos S, Holiday D, Weiss B . Brief report: screening items to identify patients with limited health literacy skills. J Gen Intern Med. 2006; 21(8):874-7. PMC: 1831582. DOI: 10.1111/j.1525-1497.2006.00532.x. View

2.
Zimmerman K, Linsky A . A narrative review of updates in deprescribing research. J Am Geriatr Soc. 2021; 69(9):2619-2624. DOI: 10.1111/jgs.17273. View

3.
Fried T, Byers A, Gallo W, Van Ness P, Towle V, OLeary J . Prospective study of health status preferences and changes in preferences over time in older adults. Arch Intern Med. 2006; 166(8):890-5. PMC: 1978221. DOI: 10.1001/archinte.166.8.890. View

4.
Kantor E, Rehm C, Haas J, Chan A, Giovannucci E . Trends in Prescription Drug Use Among Adults in the United States From 1999-2012. JAMA. 2015; 314(17):1818-31. PMC: 4752169. DOI: 10.1001/jama.2015.13766. View

5.
. American Geriatrics Society 2019 Updated AGS Beers Criteria® for Potentially Inappropriate Medication Use in Older Adults. J Am Geriatr Soc. 2019; 67(4):674-694. DOI: 10.1111/jgs.15767. View