Prevalence and prediction of medical distrust in a diverse medical genomic research sample.

Abstract

Medical distrust has been identified as a persistent barrier to medical care, affecting preventative screening, treatment uptake, and treatment adherence. Despite this, little research to date has examined medical distrust in a genomic medicine context. The goal of this work was to assess the prevalence of medical distrust in a genomic medicine research study and examine patient-level demographic, access-related, and health-status characteristics that predict medical distrust. We assessed medical distrust in a research sample of adults (N = 967) receiving genomic sequencing to screen for hereditary risk of cancer syndromes in the United States. We used multiple predictive variable selection models to determine predictors of medical distrust followed by marginal mean analyses to characterize the relationships. The prevalence of medical distrust was 32%. The final model indicated that Black and African American race/ethnicity; trans, nonbinary, or nonidentifying gender identity; high education; low income; low access to health care; and poor Short Form 12 mental health composite scores predict medical distrust. Medical distrust may pose similar challenges to genomic sequencing, as it does in other medical contexts. The pattern of variables that predict distrust suggest that increasing access and accommodation for stigmatized and underserved communities may help overcome the negative effects of medical distrust.