Systematic reviews reveal unrepresentative evidence for the development of drug formularies for poor and nonwhite populations.
OBJECTIVE
To explore implications of using systematic drug class reviews to develop U.S. Medicaid drug formularies. We assess racial/ethnic, gender, and socioeconomic status (SES) concordance between Medicaid populations and studies synthesized in Drug Effectiveness Review Project (DERP) systematic reviews.


METHODS
Review of 32 DERP systematic reviews for subpopulation reporting/analysis and concordance with Medicaid populations.


RESULTS
Among Medicaid recipients in DERP member states and nationally, minorities are overrepresented (21% to 57%) compared with their presence in the population (10% to 30%). Fifty-nine percent of DERP reviews reported insufficient evidence to evaluate drug effects by race/ethnicity or gender. Three percent of reviews found evidence of differential effects by race and 13% by gender. Twenty-four percent found evidence of no difference by race and 9% found no difference by gender. Most of this evidence was described as weak, limited, or of poor quality. Eighty percent of Medicaid recipients are poor or near-poor. DERP does not report on SES.


CONCLUSIONS
DERP reviews reveal deficiencies of the evidence when applied to Medicaid populations. To increase health equity and provide evidence for policies that serve socially disadvantaged populations, drug trials, and other studies should include more members of these populations. Systematic reviews should include low-SES as a prespecified subgroup.
Department of Clinical Pharmacy, University of California, San Francisco, 94118, USA. Donna.Odierna@ucsf.edu
Donna H
DH
Odierna
Lisa A
LA
Bero
D005006:Ethnicity; D019317:Evidence-Based Medicine / Q000379:methods; D005260:Female; D005569:Formularies as Topic; D006291:Health Policy; D054624:Health Status Disparities; D006801:Humans; D008297:Male; D008484:Medicaid; D008913:Minority Groups; D018579:Patient Selection; D011203:Poverty; D012196:Review Literature as Topic; D012737:Sex Factors; D014481:United States