Evidence map›Paper›PMID 34402829›Full record

ArticleJAMA2021

US Health Care Spending by Race and Ethnicity, 2002-2016.

Joseph L Dieleman, Carina Chen, Sawyer W Crosby, Angela Liu, Darrah McCracken, Ian A Pollock, Maitreyi Sahu, Golsum Tsakalos, Laura Dwyer-Lindgren, Annie Haakenstad and 4 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

  1. Article
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  5. Observational
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  9. 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 · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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 · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Joseph L DielemanInstitute for Health Metrics and Evaluation, Seattle, Washington.
Carina ChenInstitute for Health Metrics and Evaluation, Seattle, Washington.
Sawyer W CrosbyInstitute for Health Metrics and Evaluation, Seattle, Washington.
Angela LiuJohns Hopkins University, Baltimore, Maryland.
Darrah McCrackenInstitute for Health Metrics and Evaluation, Seattle, Washington.
Ian A PollockInstitute for Health Metrics and Evaluation, Seattle, Washington.
Maitreyi SahuInstitute for Health Metrics and Evaluation, Seattle, Washington.
Golsum TsakalosInstitute for Health Metrics and Evaluation, Seattle, Washington.
Laura Dwyer-LindgrenInstitute for Health Metrics and Evaluation, Seattle, Washington.
Annie HaakenstadInstitute for Health Metrics and Evaluation, Seattle, Washington.
Ali H MokdadInstitute for Health Metrics and Evaluation, Seattle, Washington.
Gregory A RothInstitute for Health Metrics and Evaluation, Seattle, Washington.
Kirstin Woody ScottUniversity of Michigan, Ann Arbor.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, Seattle, Washington.

Funding

University of Washington Center for Demography and Economics of Aging-OverallP30AG047845 · NIA · UNIVERSITY OF WASHINGTON · PI MURRAY, CHRISTOPHER J.L. · 2014 to 2019
$3.8M
NIA NIH HHS P30 AG047845
6 · The paper itself

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.

Indexed as

EthnicityHealthcare DisparitiesHealth Care SurveysHealth ExpendituresHumansRacial GroupsUnited States

Identifiers

PMID34402829
PMCPMC8371574

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.