Systematic Bias in Clinical Decision Instrument Development: A Quantitative Meta-Analysis
Obra, J. K.; Singh, C.; Watkins, K.; Feng, J.; Obermeyer, Z.; Kornblith, A. E.
Show abstract
Clinical decision instruments (CDIs) face an equity dilemma. On the one hand, they often reduce disparities in patient care through data-driven standardization of best practices. On the other hand, this standardization may itself inadvertently perpetuate bias and inequality within healthcare systems. Here, we quantify different measures of potential for implicit bias present in CDI development that can inform future CDI development. We find evidence for systematic bias in the development of 690 CDIs that underwent validation through various analyses: self-reported participant demographics are skewed--e.g. 73% of participants are White, 55% are male; investigator teams are geographically skewed--e.g. 52% in North America, 31% in Europe; CDIs use predictor variables that may be prone to bias--e.g. 13 CDIs explicitly use Race and Ethnicity; outcome definitions may further introduce bias--e.g. 28% of CDIs involve follow-up, which may disproportionately skew outcome representation based on socioeconomic status. As CDIs become increasingly prominent in medicine, we recommend that these factors are considered during development and clearly conveyed to clinicians using CDIs.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.