Cited by 329Medication Adherence and ComplianceLipoproteins and Cardiovascular HealthSurvey Methodology and Nonresponse

Predictors of Nonadherence to Statins: A Systematic Review and Meta-Analysis

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Mann, Devin M, Woodward, Mark, Muntner, Paul, Falzon, Louise, Kronish, Ian·2010·Annals of Pharmacotherapy

Abstract

Background: Nonadherence to statins limits the benefits of this common drug class. Individual studies assessing predictors of nonadherence haue produced inconsistent results. Objective: To identify reliable predictors of nonadherence to statins through systematic review and meta-analysis. Methods: Multiple databases, including MEDLINE, EMBASE, and PsycINFO, were searched (from inception through February 2009) to identify studies that evaluated predictors of nonadherence to statins. Studies were selected using a priori defined criteria, and each study was reviewed by 2 authors who abstracted data on study characteristics and outcomes. Relative risks were then pooled, using an inverse-variance weighted random-effects model. Results: Twenty-two cohort studies met inclusion criteria. Age had a U-shaped association with adherence; the oldest (≥70 years) and youngest (<50 years) subjects had lower adherence than the middle-aged (50-69 years) subjects. Women and patients with lower incomes were more likely to be nonadherent than were men (odds of nonadherence 1.07; 95% CI 1.04 to 1.11) and those with higher incomes (odds of nonadherence 1.18:95% CI 1.10 to 1.28), respectively. A history of cardiovascular disease predicted better adherence to statins (odds of nonadherence 0.68; 95% CI 0.66 to 0.78). Similarly, a diagnosis of hypertension or diabetes was associated with better adherence. Although there were too few studies for quantitative pooling, increased testing of lipid levels and lower out-of-pocket costs appeared to be associated with better adherence. There was substantial (l2 range 68.7-96.3%) heterogeneity between studies across factors. Conclusions: Several sociodemographic, medical, and health-care utilization characteristics are associated with statin nonadherence. These factors may be useful guides for targeting statin adherence interventions.

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  1. [32]Howell N Trotter R DR M Rowe P Compliance with statins in primary care The Pharmaceutical Journal 2004 272 3 23 32

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Authors
Mann, D. M., Woodward, M., Muntner, P., Falzon, L., & Kronish, I.
Affiliations
  • Icahn School of Medicine at Mount Sinai (US)
  • The University of Sydney (AU)
  • University of Alabama at Birmingham (US)
  • Columbia University Irving Medical Center (US)
Venue
Annals of Pharmacotherapy
Published
2010-08-11
Volume
44
Issue
9
Pages
1410-1421
ISSN
  • 0012-6578 (ISSN-L)
  • 1060-0280
  • 1542-6270
OpenAlex
W2097319856
Cited by
329
References
44
Citations by year
2026: 16 · 2025: 11 · 2024: 12 · 2023: 19 · 2022: 15 · 2021: 32 · 2020: 16 · 2019: 23 · 2018: 36 · 2017: 29 · 2016: 37 · 2015: 24 · 2014: 23 · 2013: 15 · 2012: 13
FWCI
2.22
Type
journal article
Language
en
Open access
Locations
  • Annals of Pharmacotherapy (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Columbia Academic Commons (Columbia University)
Funders
  • National Heart, Lung, and Blood Institute (K23HL098359)
  • National Institute of Diabetes and Digestive and Kidney Diseases (K23DK081665)
Topics
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Keywords
medication adherence, predictors of non-adherence, age, sex differences, income, cardiovascular disease history, hypertension, diabetes mellitus, lipid testing, out-of-pocket costs, adherence interventions
MeSH terms
Age Factors, Cardiovascular Diseases, Diabetes Mellitus, Humans, Hypertension, Patient Compliance, Socioeconomic Factors, Cohort Studies, Comorbidity, Hydroxymethylglutaryl-CoA Reductase Inhibitors

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