Predictors of Compliance with Anti hypertensive Therapy in a High-Risk Medicaid Population
Predictors of Compliance with Anti hypertensive Therapy in a High-Risk Medicaid Population
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DOI:
10.1016/s0027-9684(15)30808-7
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发表时间:
2009-01-01
影响因子:
3.3
通讯作者:
Weir, Matthew R.
中科院分区:
文献类型:
--
作者:
Shaya, Fadia T.;Du, Dongyi;Weir, Matthew R.
Objective: To identify predictors of compliance with antihypertensive combination therapy in a Medicaid population.Methods: Retrospective medical and pharmacy claims data for Maryland Medicaid patients receiving angiotensin converting enzyme inhibitors (ACEIs)/hydrochlorothiazides (HCTZs) or ACEI/calcium channel blockers as fixed-dose combinations or separate agents during the period of January 1, 2002 to December 31, 2004, were analyzed.Inclusion: Continuously enrolled patients 18 years and older and at least one year of follow-up.Exclusion: Use of fixed-dose combination antihypertensives between January 1, 2002 and June 30, 2002 (to identify incident cohort). Compliance was defined as medication possession ratio greater than or equal to 80%. Multivariate logistic regression was used to predict compliance as a function of age, gender, race, comorbidities (Charlson Comorbidity Index [CCI]), and use of either fixed-dose combination or separate agents.Results: There were 568 patients, 63.73% female, 68.83% African American, median age 52 years, 35.56% on fixed-dose combinations, 72.89% started on ACEI/HCTZ, and 24.82% complied with therapy. Patients younger than 40 years (OR, 0.38; p =.01; 95% CI, 0.18-0.81) and African American (OR, 0.45; p =.0004; 95% CI, 0.29-0.70) were less likely to be compliant than patients older than 60 years and Caucasian, respectively. Patients With a CCI of 1 (OR, 2.11; p =.05; 95% Cl, 1.01-4.40) and those on fixed-dose combinations (OR, 1.60; p =.02, 95% Cl, 1.06-2.40) were more likely to be compliant than those With higher CCIs and on separate agents, respectively.Conclusion: Age, race, comorbidities, and simplified antihypertensive regimens were significant predictors of compliance. Higher compliance rates may enhance cardiovascular disease management outcomes.