Correlation of antimicrobial prescription rate and county income in medicare part D.

The objective of this study was to examine whether patient income has an impact on likelihood of being prescribed an antimicrobial agent at the county level. A better understanding of factors that influence antimicrobial prescription is needed to efficiently mitigate rates of antimicrobial agents prescribed.This cross-sectional study used data from two publicly available datasets. The 2015 Medicare Part D PUF data quantifies the antimicrobial prescription rate at the county level and data from US Census Bureau provides information on socioeconomic status at the county level.At the county level, we explained 48% of the variation in antimicrobial prescriptions by socioeconomic status, age, gender, and race. More specifically, socioeconomic status accounted for 26% of the variation in antimicrobial rate and as income increased, correlation with antimicrobial prescription rate trended down.We determined patient income and other sociodemographics to influence the prescription of antimicrobial agents. Interventions should consider these factors to effectively evaluate antimicrobial prescription methods. Findings from this study can help guide intervention efforts which aim to minimize the number of inappropriate antimicrobials prescribed, such as antimicrobial stewardship programs. Effective interventions have the capability of decreasing levels of inappropriate antimicrobials prescribed and prevent future cases of resistance.