Evidence generation, decision making, and consequent growth in health disparities.

ABSTRACT: Evidence is valuable because it informs decisions to produce better outcomes. However, the same evidence that is complete for some individuals or groups may be incomplete for others, leading to inefficiencies in decision making and growth in disparities in outcomes. Specifically, the presence of treatment effect heterogeneity across some measure of baseline risk, and noisy information about such heterogeneity, can induce self-selection into randomized clinical trials (RCTs) by patients with distributions of baseline risk different from that of the target population. Consequently, average results from RCTs can disproportionately affect the treatment choices of patients with different baseline risks. Using economic models for these sequential processes of RCT enrollment, information generati

SUBMITTER: Basu A 

PROVIDER: S-EPMC7321972 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature