Evidence map›Paper›PMID 40767505›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2025

Understanding Medicine Preferences of Older Adults: The Role of Messaging in a Multi-Methods Experimental Survey.

Alexander Chaitoff, Kristie Rebecca Weir, Vincent D Marshall, Sarah E Vordenberg

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Article in Health expectations : an international journal of public participation in health care and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Alexander ChaitoffUniversity of Michigan School of Medicine, Ann Arbor, Michigan, USA.ORCID 0000-0002-0017-6992
Kristie Rebecca WeirLeeder Centre for Health Policy, Economics, and Data, Sydney School of Public, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0002-9507-5050
Vincent D MarshallUniversity of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.ORCID 0000-0002-2594-7407
Sarah E VordenbergUniversity of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.ORCID 0000-0002-9828-9759

Funding

S.E.V. received funding from the University of Michigan Center for Bioethics and Social Sciences in Medicine. K.R.W. was funded by a Swiss Government Excellence Scholarship (0684), a Swiss National Science Foundation Scientific Exchanges grant (213475) and an NHMRC Emerging Leader Investigator Grant (2017295).
6 · The paper itself

Abstract

backgroundEfforts to optimise medicine use often focus on starting evidence-based therapies or deprescribing inappropriate medicine, but not on the combination of both. We explored whether behavioural science-informed messaging could impact older adults' decisions on starting and stopping diabetes medicine.

methodsA 15-min online survey was conducted using a hypothetical vignette among adults 65 years and older from Australia and the United States. Participants were randomised in two experiments: the first involved different framings of a primary care provider (PCP)'s rationale for starting a diabetes medicine, and the second focused on stopping the same medicine 10 years later. Preferences were measured using 6-point Likert scales. Data were analysed using descriptive and nonparametric statistics. We also conducted a descriptive thematic analysis of participants' free-text responses explaining their preferences.

resultsOut of 2420 participants, 68.5% agreed with starting the medicine, whereas 64.4% agreed with stopping it (p = 0.009). The proportion of participants who agreed with the recommendation to start or stop the medicine did not differ by the messaging they received in the first experimental treatment. However, participants were more likely to agree with a recommendation to stop a medicine if they received messaging about the medicine's harms versus lack of benefit (69.7% vs. 59.1%, p < 0.001). Thematic analysis revealed that participants' trust in clinician expertise, their perceptions of the medicine (e.g., benefits, harms, necessity and burdens) and a hesitance to change influenced their decisions.

conclusionTwo-thirds of participants agreed with the recommendation to start and stop a diabetes medicine regardless of messaging at medicine initiation. Subsequent messaging focused on the potential harm of continuing a medicine significantly increased participants' agreement with deprescribing compared to messaging about the lack of benefit. PATIENT OR PUBLIC CONTRIBUTION: Older adult community members and general practitioners contributed to the development of the survey and vignette, helping to refine the content and improve its clarity and relevance.

Indexed as

Diabetes MellitusHypoglycemic AgentsPatient PreferenceText MessagingAgedAged, 80 and overAustraliaDecision MakingFemaleHumansMaleSurveys and QuestionnairesUnited StatesHypoglycemic Agentsdeprescriptionsgeriatricsprescribingsurvey

Identifiers

PMID40767505
PMCPMC12326420

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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.