The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Can one or two simple questions predict poor medication adherence?
Open accessAbstract
Rationale, Aims, and Objectives: Poor adherence to evidence‐based medications is a major problem in conventional clinical practise. Better prognostic tools are needed to identify those with the highest likelihood of being non‐adherent. The objective of this study is to determine if a 2‐item patient activation status (PAS) measure identifies Medicare beneficiaries at risk of poor adherence to drugs typically recommended in treating type 2 diabetes. Methods: PAS and medication adherence were assessed for respondents to the 2009 Medicare Current Beneficiary Survey and then compared using bivariate and multivariate tests. Participants' PAS was classified as “active,” “high effort,” “complacent,” or “passive” based on how confident they were in identifying needed medical care and whether they brought medication lists to their doctors' visits. Adherence with oral antidiabetic drugs, angiotensin‐converting enzyme‐inhibitors/angiotensin receptor blockers, and statins was assessed using proportion of days covered (PDC). Results: A total of 940 Medicare beneficiaries with diabetes enrolled in Part D plans in 2009. The overall effect of PAS on medication adherence was small (3% lower PDC for complacent/passive vs active/high effort beneficiaries, P < 0.10). However, interactions of complacent/passive PAS with other characteristics associated with poor adherence identified certain subgroups as especially prone to problematic adherence: age < 65 (PDC −11%, P < 0.05), non‐Hispanic black (PDC −13%, P < 0.05), and morbidly obese (−9%, P < 0.10). Conclusion: A single question relating to taking medication lists to doctor visits may help identify patient subgroups prone to poor adherence in conventional practise, but larger samples are necessary to validate and extend these findings.
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“Stuart et al. demonstrated that low patient activation scores were strongly linked to non-adherence, supporting the use of brief screening tools to identify at-risk individuals [48].”
From Multilevel Interventions to Improve Medication Adherence in Older Adults: A Systematic Review and Meta-Analysis of Cognitive, Digital, Behavioral, and Socioeconomic Strategies (2015–2025) (2026) · cites this paper as [48]
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Mehany, O., Artner, A., Sebők, S., Hankó, B., & Zelkó, R. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15052069 · Cited by 6
Metadata
- Authors
- Stuart, B. C., Timmons, V., Loh, F. E., Dai, M., & Xu, J.
- Affiliations
- University of Maryland, Baltimore (US)
- Department of Pharmaceutical Health Services Research University of Maryland School of Pharmacy Baltimore Maryland USA
- Venue
- Journal of Evaluation in Clinical Practice
- Publisher
- Wiley
- Published
- 2020-03-24
- Volume
- 27
- Issue
- 1
- Pages
- 75-83
- ISSN
- 1356-1294 (ISSN-L)
- 1365-2753
- PMC
- PMC9829406
- OpenAlex
- W3013744132
- Cited by
- 2
- References
- 3
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Evaluation in Clinical Practice (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Touro Scholar (Touro College) (submittedVersion)
- Funders
- NIA Short-Term Training (T35AG036679)
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Keywords
- medication adherence, patient activation, type 2 diabetes, Medicare beneficiaries, oral antidiabetic drugs, ACE inhibitors, angiotensin receptor blockers, statins, proportion of days covered, medication lists, racial disparities, obesity, prognostic tools
- MeSH terms
- Aged, Angiotensin-Converting Enzyme Inhibitors, Diabetes Mellitus, Type 2, Medicare, Humans, Obesity, Morbid, United States, Medication Adherence
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