Physician clinical information technology and health care disparities.
The authors develop a conceptual framework regarding how information technology (IT) can alter within-physician disparities, and they empirically test some of its implications in the context of coronary heart disease. Using a random experiment on 256 primary care physicians, the authors analyze the relationships between three IT functions (feedback and two types of clinical decision support) and five process-of-care measures. Endogeneity is addressed by eliminating unobserved patient characteristics with vignettes and by proxying for omitted physician characteristics. The results indicate that IT has no effects on physicians' diagnostic certainty and treatment of vignette patients overall. The authors find that treatment and certainty differ by patient age, gender, and race. Consistent with the framework, IT's effects on these disparities are complex. Feedback eliminated the gender disparities, but the relationships differed for other IT functions and process measures. Current policies to reduce disparities and increase IT adoption may be in discord.
Ketcham
Jonathan D
JD
Arizona State University, Tempe, USA.
Lutfey
Karen E
KE
Gerstenberger
Eric
E
Link
Carol L
CL
McKinlay
John B
JB
D000368:Aged; D001499:Bayes Theorem; D003327:Coronary Disease / Q000628:therapy; D020000:Decision Support Systems, Clinical; D057286:Electronic Health Records; D005194:Family Practice; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009657:North Carolina; D010818:Practice Patterns, Physicians'; D011787:Quality of Health Care; D012044:Regression Analysis; D013022:South Carolina