Trial reportMedical care research and review : MCRR2009
Physician clinical information technology and health care disparities.
Trial report in Medical care research and review : MCRR, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Investigating gender disparities in urological care for non-muscle invasive bladder cancer (NMIBC).BJUI compass · 2026Article
- Racial and Ethnic Health Disparities and the Affordable Care Act: a Status Update.Journal of racial and ethnic health disparities · 2015Article
- Using computational modeling to assess the impact of clinical decision support on cancer screening improvement strategies within the community health centers.Journal of biomedical informatics · 2014Article
- Physician styles of patient management as a potential source of disparities: cluster analysis from a factorial experiment.Health services research · 2013Article
- Gendered uncertainty and variation in physicians' decisions for coronary heart disease: the double-edged sword of "atypical symptoms".Journal of health and social behavior · 2012Article
- Changes in disparities following the implementation of a health information technology-supported quality improvement initiative.Journal of general internal medicine · 2012Article
- Use of health information technology among racial and ethnic underserved communities.Perspectives in health information managemen · 2011Article
- Factors Influencing the Increasing Disparity in LDL Cholesterol Control Between White and Black Patients With Diabetes in a Context of Active Quality Improvement.American journal of medical quality : the official journal of the American College of Medical QualityArticle
- Physician styles of decision-making for a complex condition: Type 2 diabetes with co-morbid mental illness.European journal for person centered healthcareArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.