Can one or two simple questions predict poor medication adherence?
Autor: | Bruce Stuart, Veronica Timmons, Feng‐Hua E. Loh, Jing Xu, Mingliang Dai |
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Rok vydání: | 2019 |
Předmět: |
Patient Activation
medicine.medical_specialty Patient subgroups Medication adherence Angiotensin-Converting Enzyme Inhibitors Type 2 diabetes Medicare Medical care Article Medication Adherence 03 medical and health sciences Internal medicine Diabetes mellitus Medicine Humans Aged business.industry 030503 health policy & services Health Policy Public Health Environmental and Occupational Health Medicare beneficiary medicine.disease United States Taking medication Obesity Morbid Diabetes Mellitus Type 2 0305 other medical science business |
Zdroj: | J Eval Clin Pract |
ISSN: | 1365-2753 |
Popis: | 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 |
Databáze: | OpenAIRE |
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