Methods for estimation of disparities in medication use in an observational cohort study: results from the Multi-Ethnic Study of Atherosclerosis
Article first published online: 4 FEB 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Pharmacoepidemiology and Drug Safety
Volume 22, Issue 5, pages 533–541, May 2013
How to Cite
McClelland, R. L., Jorgensen, N. W., Post, W. S., Szklo, M. and Kronmal, R. A. (2013), Methods for estimation of disparities in medication use in an observational cohort study: results from the Multi-Ethnic Study of Atherosclerosis. Pharmacoepidem. Drug Safe., 22: 533–541. doi: 10.1002/pds.3406
- Issue published online: 3 MAY 2013
- Article first published online: 4 FEB 2013
- Manuscript Accepted: 10 DEC 2012
- Manuscript Revised: 7 DEC 2012
- Manuscript Received: 20 SEP 2012
- National Heart, Lung, and Blood Institute. Grant Numbers: N01-HC-95159, N01-HC-95169
- statistical methods;
Evaluating disparities in health care is an important aspect of understanding differences in disease risk. The purpose of this study is to describe the methodology for estimating such disparities, with application to a large multi-ethnic cohort study.
The Multi-Ethnic Study of Atherosclerosis includes 6814 participants aged 45–84 years free of cardiovascular disease. Prevalence ratio (PR) regression was used to model baseline lipid lowering medication (LLM) or anti-hypertensive medication use at baseline as a function of gender, race, risk factors, and estimated pre-treatment biomarker values.
Hispanics and African Americans had lower prevalence of medication use than did non-Hispanic whites, even at the same risk factor profile. This became non-significant after adjusting for socioeconomic status. Although gender did not influence the prevalence of LLM use (PR = 1.09, 95%CI 0.95–1.25), there were differences in the association of diabetes and HDL with LLM use by gender. Men were significantly less likely to be on anti-hypertensive medications than women (PR = 0.86, 95%CI 0.80–0.92, p < 0.001), and this was not explained by risk factors or socioeconomic status. Lack of health insurance strongly influenced medication use, controlling for risk factors and other markers of socioeconomic status.
Disparities exist in the treatment of cholesterol and hypertension. Hispanics and African Americans had less use of LLM; men had less use of anti-hypertensives. Risk factors have differential associations with medication use depending on gender. Methods described in this paper can provide improved disparity estimation in observational cohort studies. Copyright © 2013 John Wiley & Sons, Ltd.