药物流行病学
社会经济地位
贫穷
医学
脆弱性(计算)
数据收集
环境卫生
不平等
老年学
精算学
药方
业务
计算机科学
经济增长
护理部
社会学
人口
社会科学
经济
计算机安全
数学分析
数学
作者
Christopher Prener,Katharina Schley,Amanda Miles,Sarah J. Willis
摘要
Abstract Social conditions like socioeconomic status (SES) are critical sources of health disparities. In pharmacoepidemiology research, our ability to measure SES in retrospective, real world clinical data remains challenged by a lack of patient-reported data. Some broadly accepted concepts can be measured at the individual level, such as income, poverty, and education. Community-level measures such as the Centers for Disease Control and Prevention’s Social Vulnerability Index (SVI) also exist. After reflecting on these existing measures and discussing the challenges for leveraging them with real world data, we offer three recommendations that we believe could improve the ability of pharmacoepidemiologists to better measure and interrogate the effect of SES in their own research. These recommendations include a greater collection of patient-reported metrics, reduced reliance on ZIP Codes and ZIP Code Tabulation Areas for creating community-level measures of deprivation, and the inclusion of GIS and demography specialists within pharmacoepidemiology teams.
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