TY - JOUR AU - Muntner P. AU - Mann D. AU - Falzon L. AU - Kronish I. AU - Woodward Mark AB -
BACKGROUND: Nonadherence to statins limits the benefits of this common drug class. Individual studies assessing predictors of nonadherence have 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 (I(2) 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.
AD - Division of General Internal Medicine, Mount Sinai School of Medicine, New York, NY, USA. devin.mann@mssm.edu AN - 20702755 BT - Annals of Pharmacotherapy ET - 2010/08/13 LA - eng M1 - 9 N1 - Mann, Devin MWoodward, MarkMuntner, PaulFalzon, LouiseKronish, Ian1K23DK081665/DK/NIDDK NIH HHS/United StatesMeta-AnalysisResearch Support, N.I.H., ExtramuralReviewUnited StatesThe Annals of pharmacotherapyAnn Pharmacother. 2010 Sep;44(9):1410-21. Epub 2010 Aug 11. N2 -BACKGROUND: Nonadherence to statins limits the benefits of this common drug class. Individual studies assessing predictors of nonadherence have 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 (I(2) 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.
PY - 2010 SN - 1542-6270 (Electronic)1060-0280 (Linking) SP - 1410 EP - 21 T2 - Annals of Pharmacotherapy TI - Predictors of nonadherence to statins: a systematic review and meta-analysis VL - 44 ER -