A Cohort Study of Possible Risk Factors for Over-Reporting of Antihypertensive Adherence

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A Cohort Study of Possible Risk Factors for Over-Reporting of Antihypertensive Adherence

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Title: A Cohort Study of Possible Risk Factors for Over-Reporting of Antihypertensive Adherence
Author: Choo, Peter W; Rand, Cynthia S; Inui, Thomas S; Lee, Mei-Ling Ting; Canning, Claire; Platt, Richard

Note: Order does not necessarily reflect citation order of authors.

Citation: Choo, Peter W., Cynthia S. Rand, Thomas S. Inui, Mei-Ling Ting Lee, Claire Canning, and Richard Platt. 2001. A cohort study of possible risk factors for over-reporting of antihypertensive adherence. BMC Cardiovascular Disorders 1:6.
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Abstract: Background: The identification of poor medicinal adherence is difficult because direct observation of medication use is usually impractical. Up to 50% of individuals on chronic therapies may not be taking their medication as prescribed. This study is one of the first to explore possible risk factors for over-reporting of antihypertensive adherence using electronic medication monitoring. Methods: The adherence of 286 individuals on single-drug antihypertensive therapy in a large managed care organization was electronically monitored for approximately three months. Questionnaires on socioeconomic background, adherence to therapy, health beliefs, and social support before and after adherence monitoring were completed. Over-reporting of antihypertensive adherence was assessed by comparing the self-reported frequency of noncompliance with that determined from electronic dosing records. Risk factors for overreporting were identified by contingency table analysis and step-wise logistic regression. Results: Although only 21% of participants acknowledged missing doses on one or more days per week, electronic monitoring documented nonadherence at this or a higher level in 42% of participants. The following variables were associated with over-reporting: >1 versus 1 daily dose (OR = 2.58; 95% CI = 1.50–4.41; p = .0006), lower perceived health risk from nonadherence (OR = 1.35; 95% CI = 1.10–1.64; p = .0035), and annual household income of <$15,000 versus >$30,000 (OR = 2.64; 95% CI = 1.13–6.18; p = .025). Conclusions: Over-reporting of adherence may be affected by factors related to dosing frequency, health beliefs and socioeconomic status. This topic deserves further investigation in other patient populations to elucidate possible underlying behavioral explanations.
Published Version: doi:10.1186/1471-2261-1-6
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC64641/pdf/
http://www.biomedcentral.com/1471-2261/1/6
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4930640

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