Affiliation:
1. Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA;
2. College of Public Health, The University of Iowa, Iowa City, Iowa, USA.
Abstract
Abstract
BACKGROUND
Adherence to antihypertensives is suboptimal, but previous methods of quantifying adherence fail to account for varying patterns of use over time. We sought to improve classification of antihypertensive adherence using group-based trajectory models, and to determine whether individual factors predict adherence trajectories.
METHODS
We identified older adults initiating antihypertensive therapy during 2008–2011 using a 20% sample of Medicare (federal health insurance available to US residents over the age of 65) beneficiaries enrolled in parts A (inpatient services), B (outpatient services), and D (prescription medication). We developed monthly adherence indicators using prescription fill dates and days supply data in the 12 months following initiation. Adherence was defined as having at least 80% of days covered. Logistic models were used to identify trajectory groups. Bayesian information criterion and trajectory group size were used to select the optimal trajectory model. We compared the distribution of covariates across trajectory groups using multivariable logistic regression.
RESULTS
During 2008–2011, 282,520 Medicare beneficiaries initiated antihypertensive therapy (mean age 75 years, 60% women, 84% White). Six trajectories were identified ranging from perfect adherence (12-month adherence of 0.97, 40% of beneficiaries) to immediate stopping (12-month adherence of 0.10, 18% of beneficiaries). The strongest predictors of nonadherence were initiation with a single antihypertensive class (adjusted odds ratio = 2.08 (95% confidence interval: 2.00–2.13)), Hispanic (2.93 (2.75–3.11)) or Black race/ethnicity (2.04 (1.95–2.13)), and no prior history of hypertension (2.04 (2.00–2.08)) (Area under the receiving operating characteristic curve: 0.53).
CONCLUSIONS
There is substantial variation in antihypertensive adherence among older adults. Certain patient characteristics are likely determinants of antihypertensive adherence trajectories.
Funder
Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill
Pharmacoepidemiology Gillings Innovation Lab
Center for Pharmacoepidemiology, Department of Epidemiology, UNC Gillings School of Global Public Health
CER Strategic Initiative of UNC's Clinical Translational
Science Award
Cecil G. Sheps Center for Health Services Research, UNC
UNC School of Medicine
National Institute on Aging
National Institutes of Health
NC TraCS Institute, UNC Clinical and Translational Science Award
GlaxoSmithKline
UCB BioSciences
Merck
Amgen
AstraZeneca
Department of Epidemiology, University of North Carolina at Chapel Hill
Publisher
Oxford University Press (OUP)
Cited by
24 articles.
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