Health Equity Perspective on Data‐Driven Treatment Decisions in Cardiovascular Care: Risk Assessments Versus Individualized Treatment Rules

Background Medical treatment decisions are often based on estimated global risk scores. When heterogeneity in treatment effects exists, assigning treatment according to estimated individualized treatment rules (ITRs) instead has the potential to improve mean outcomes. This article aims to investigate racial and ethnic group differences in treatment rates when comparing antihypertensive medication recommendations from an estimated ITR with a risk score approach. Methods Data were simulated to emulate observational data with underlying treatment effect heterogeneity in survival times. An ITR and risk score approach were compared to illustrate how the resulting recommendations may disagree. An ITR for prescribing antihypertensives was estimated from 3281 adults from MESA (Multi‐Ethnic Study of Atherosclerosis), an observational longitudinal cohort study, and compared with the risk‐based approach recommended by cardiovascular care guidelines. Hypothetical treatment rates under each “rule” were computed. In the simulation study, the proportion of individuals treated optimally under each rule was calculated. Using MESA, a Chi‐square test of independence was performed to determine whether treatment rates differed across racial and ethnic groups. Results Two benefits of ITRs were shown: they (1) maximize expected survival times and (2) may mitigate racial disparities when treatment effect heterogeneity is expected. Using MESA, the ITR recommended treatment to more participants than the risk score approach across all racial and ethnic groups. A Chi‐square test suggested that treatment rates for different “rules” differed significantly across racial and ethnic groups ( P <0.001). Conclusions Treatment recommendations varied substantially when assigning treatment using an ITR versus a risk‐based approach.