ArticleJAMA2021
US Health Care Spending by Race and Ethnicity, 2002-2016.
Article in JAMA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed.
- Trends in the Adoption of MRI Associated Biopsy for Active Surveillance Within the First Year After Localized Prostate Cancer Diagnosis: A SEER-Medicare Cohort Study.Cancer medicine · 2026Article
- Trends in medical debt in the United States by imputed borrower race and ethnicity, 2016-2022.Health affairs scholar · 2026Article
- Middle-age healthcare spending and utilization at the intersection of comorbidities, functional limitation, and race/ethnicity.Innovation in aging · 2026Article
- Racial disparities in in-hospital outcomes and costs among U.S. patients on peritoneal dialysis: a 15-year national cohort study.Scientific reports · 2025Article
- Payments to Physician Practices and Incentives to Serve Different Racial and Ethnic Groups.JAMA health forum · 2025Observational
- Racial and Ethnic Community Composition and Geographic Distance to Substance Use Disorder Treatment Across the Rural and Urban Divide.Journal of racial and ethnic health disparities · 2025Article
- Racial and Ethnic Disparity in Healthcare Expenditure and Resource Utilization Among Patients with Cardiovascular Diseases.Journal of racial and ethnic health disparities · 2025Article
- Do MA plans follow incentives to attract enrollee groups with new supplemental benefits?Health affairs scholar · 2025Article
- Effects of Part D Senior Savings Model on healthcare costs among the Medicare population.Journal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain · 2025Article
- Algorithms to Improve Fairness in Medicare Risk Adjustment.JAMA health forum · 2025Article
- Prescription Drug Utilization and Spending by Race, Ethnicity, Payer, Health Condition, and US State.JAMA health forum · 2025Article
- Does Low-Value Care Explain Health Care Utilization Inequities Among Asian and Latino Populations?Health services research · 2025Article
- Pain Intensity and Health Service Utilization in United States Adults with Pain: A Cross-Sectional Database Analysis.Healthcare (Basel, Switzerland) · 2025Article
- The Impact and Interactions of Race and Gender on Healthcare Use and Spending in Irritable Bowel Syndrome.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2025Article
- Racial Differences in Care Quality Among Men With Newly Diagnosed Prostate Cancer.JAMA network open · 2025Article
- Race and Ethnicity in Heart Failure Trials: Time to Update Recommended Categories for Global Relevance.Journal of the American Heart Association · 2025Article
- Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.Journal of medical ethics · 2025Article
- Healthy life expectancy by county, race, and ethnicity in the USA, 2009-19: a systematic analysis of health disparities.Lancet regional health. Americas · 2025Article
- Understanding Diverse Caregiver Experiences and Their Impact on Caregiver Burden in Multiple Sclerosis.International journal of MS care · 2025Article
- Barriers to health equity in the United States of America: can they be overcome?International journal for equity in health · 2025Review
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Authors and funding
14 authors.
Funding
Abstract
Importance: Measuring health care spending by race and ethnicity is important for understanding patterns in utilization and treatment. Objective: To estimate, identify, and account for differences in health care spending by race and ethnicity from 2002 through 2016 in the US. Design, Setting, and Participants: This exploratory study included data from 7.3 million health system visits, admissions, or prescriptions captured in the Medical Expenditure Panel Survey (2002-2016) and the Medicare Current Beneficiary Survey (2002-2012), which were combined with the insured population and notified case estimates from the National Health Interview Survey (2002; 2016) and health care spending estimates from the Disease Expenditure project (1996-2016). Exposure: Six mutually exclusive self-reported race and ethnicity groups. Main Outcomes and Measures: Total and age-standardized health care spending per person by race and ethnicity for each year from 2002 through 2016 by type of care. Health care spending per notified case by race and ethnicity for key diseases in 2016. Differences in health care spending across race and ethnicity groups were decomposed into differences in utilization rate vs differences in price and intensity of care. Results: In 2016, an estimated $2.4 trillion (95% uncertainty interval [UI], $2.4 trillion-$2.4 trillion) was spent on health care across the 6 types of care included in this study. The estimated age-standardized total health care spending per person in 2016 was $7649 (95% UI, $6129-$8814) for American Indian and Alaska Native (non-Hispanic) individuals; $4692 (95% UI, $4068-$5202) for Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals; $7361 (95% UI, $6917-$7797) for Black (non-Hispanic) individuals; $6025 (95% UI, $5703-$6373) for Hispanic individuals; $9276 (95% UI, $8066-$10 601) for individuals categorized as multiple races (non-Hispanic); and $8141 (95% UI, $8038-$8258) for White (non-Hispanic) individuals, who accounted for an estimated 72% (95% UI, 71%-73%) of health care spending. After adjusting for population size and age, White individuals received an estimated 15% (95% UI, 13%-17%; P < .001) more spending on ambulatory care than the all-population mean. Black (non-Hispanic) individuals received an estimated 26% (95% UI, 19%-32%; P < .001) less spending than the all-population mean on ambulatory care but received 19% (95% UI, 3%-32%; P = .02) more on inpatient and 12% (95% UI, 4%-24%; P = .04) more on emergency department care. Hispanic individuals received an estimated 33% (95% UI, 26%-37%; P < .001) less spending per person on ambulatory care than the all-population mean. Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals received less spending than the all-population mean on all types of care except dental (all P < .001), while American Indian and Alaska Native (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 90% more; 95% UI, 11%-165%; P = .04), and multiple-race (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 40% more; 95% UI, 19%-63%; P = .006). All 18 of the statistically significant race and ethnicity spending differences by type of care corresponded with differences in utilization. These differences persisted when controlling for underlying disease burden. Conclusions and Relevance: In the US from 2002 through 2016, health care spending varied by race and ethnicity across different types of care even after adjusting for age and health conditions. Further research is needed to determine current health care spending by race and ethnicity, including spending related to the COVID-19 pandemic.
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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.