ArticleBMC health services research2020
The influence of patient race on the use of diagnostic imaging in United States emergency departments: data from the National Hospital Ambulatory Medical Care survey.
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Pooled it
- Audit and feedback to change diagnostic image ordering practices: A systematic review and meta-analysis.PloS one · 2024Pooled it
- Review
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- Disparities in imaging and management of multiple sclerosis: a review.The British journal of radiology · 2026Review
- Inequity in imaging: Why it matters? A statement from the Equity, Diversity and Inclusion Subcommittee of the European Society of Radiology.Insights into imaging · 2025Article
- Predicting White Matter Hyperintensity: Leveraging Portable MRI for Accessible Brain Health Screening.AJNR. American journal of neuroradiology · 2025Article
- Developing and Applying the BE-FAIR Equity Framework to a Population Health Predictive Model: A Retrospective Observational Cohort Study.Journal of general internal medicine · 2025Observational
- A Bayesian zero-inflated spatially varying coefficients model for overdispersed binomial data.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Patient Sociodemographic Factors Are Associated with Receiving Point-of-care Ultrasound in the Emergency Department.The western journal of emergency medicine · 2025Article
- Demographic bias of expert-level vision-language foundation models in medical imaging.Science advances · 2025Article
- Images in Black and White: Disparities in Utilization of Computed Tomography and Ultrasound for Older Adults with Abdominal Pain.The western journal of emergency medicine · 2025Article
- Diagnostic Delays Are Common, and Classic Presentations Are Rare in Spinal Epidural Abscess.The western journal of emergency medicine · 2025Article
- Racial/ethnic and family income related differences in dental radiographic utilization among a national representative sample of U.S. children and adolescents.Frontiers in oral health · 2025Article
- Delayed surgery among patients diagnosed with spinal disorders: Retrospective analysis.PloS one · 2025Article
- Trends in utilization of imaging among ophthalmic-related emergency department visits in the United States.Frontiers in ophthalmology · 2025Article
- Demographics and mortality trends of valvular heart disease in older adults in the United States: Insights from CDC-wonder database 1999-2019.International journal of cardiology. Cardiovascular risk and prevention · 2024Article
- Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis bias.Nature communications · 2024Article
- Patient, Provider, and Practice Characteristics Predicting Use of Diagnostic Imaging in Primary Care: Cross-Sectional Data From the National Ambulatory Medical Care Survey.Journal of the American College of Radiology : JACR · 2023Article
- Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.Journal of medical imaging (Bellingham, Wash.) · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn established body of literature has shown evidence of implicit bias in the health care system on the basis of patient race and ethnicity that contributes to well documented disparities in outcomes. However, little is known about the influence of patient race and ethnicity on the decision to order diagnostic radiology exams in the acute care setting. This study examines the role of patient race and ethnicity on the likelihood of diagnostic imaging exams being ordered during United States emergency department encounters.
methodsPublicly available data from the National Hospital Ambulatory Medical Care Survey Emergency Department sample for the years 2006-2016 was compiled. The proportion of patient encounters where diagnostic imaging was ordered was tabulated by race/ethnicity, sub-divided by imaging modality. A multivariable logistic regression model was used to evaluate the influence of patient race/ethnicity on the ordering of diagnostic imaging controlling for other patient and hospital characteristics. Survey weighting variables were used to formulate national-level estimates.
resultsUsing the weighted data, an average of 131,558,553 patient encounters were included each year for the 11-year study period. Imaging was used at 46% of all visits although this varied significantly by patient race and ethnicity with white patients receiving medical imaging at 49% of visits and non-white patients at 41% of visits (p < 0.001). This effect persisted in the controlled regression model and across all imaging modalities with the exception of ultrasound. Other factors with a significant influence on imaging use included patient age, gender, insurance status, number of co-morbidities, hospital setting (urban vs non-urban) and hospital region. There was no evidence to suggest that the disparate use of imaging by patient race and ethnicity changed over the 11-year study time period.
conclusionThe likelihood that a diagnostic imaging exam will be ordered during United States emergency department encounters differs significantly by patient race and ethnicity even when controlling for other patient and hospital characteristics. Further work must be done to understand and mitigate what may represent systematic bias and ensure equitable use of health care resources.
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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.