Evidence map›Paper›PMID 35857326›Full record

ArticleJAMA network open2022

Geographical Variation in Health Spending Across the US Among Privately Insured Individuals and Enrollees in Medicaid and Medicare.

Zack Cooper, Olivia Stiegman, Chima D Ndumele, Becky Staiger, Jonathan Skinner

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.3field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 38 citations in OpenAlex.

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  9. Healthcare Costs in the United States by Demographic Characteristics and Comorbidity Status.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2025
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  17. Inequity in Cancer and Cancer Care Delivery in the United States.Hematology/oncology clinics of North America · 2024
    Review
  18. Article
  19. Observational
  20. Error in Figures.JAMA network open · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Zack CooperYale School of Public Health, Yale University, New Haven, Connecticut.
Olivia StiegmanDepartment of Economics, Yale University, New Haven, Connecticut.
Chima D NdumeleYale School of Public Health, Yale University, New Haven, Connecticut.
Becky StaigerStanford School of Medicine, Stanford University, Stanford, California.
Jonathan SkinnerThe National Bureau of Economic Research, Cambridge, Massachusetts.
Yale University · USDartmouth Institute for Health Policy and Clinical Practice · US

Funding

UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Leila S. Agha · 2001 to 2026
$52.9M
Stanford Health Services Research Training ProgramT32HS026128 · AHRQ · STANFORD UNIVERSITY · PI BAKER, LAURENCE C, OWENS, DOUGLAS K · 2018 to 2024
$3.6M
AHRQ HHS T32 HS026128NIA NIH HHS P01 AG019783
6 · The paper itself

Abstract

Importance: Little is known about small-area variations in health care spending and utilization across the 3 major funders of health care in the US: Medicare, Medicaid, and private insurers. Objective: To measure regional health spending and utilization across Medicare, Medicaid, and the privately insured; to observe whether there are regions that are simultaneously low spending for all 3 payers; and to determine what factors are correlated with regional spending and utilization by payer. Design, Setting, and Participants: Observational cross-sectional analysis of the US health system in 2016 and 2017 for 241 of 306 hospital referral regions (HRRs) and 2 states. Participants include individuals with employer-sponsored coverage from Aetna, Humana, or UnitedHealth; individuals with Medicaid fee-for-service coverage in 2016 and 2017; and individuals with Medicare coverage. The analysis was carried out from January 2020 to May 2022. Main Outcomes and Measures: Spending per beneficiary and inpatient days per beneficiary by payer and overall. Results: The data include 25 381 167 individuals with employer-sponsored coverage, 69 891 299 with Medicaid coverage in 2016 and 2017, and 26 711 426 individuals with Medicare fee-for-service coverage. The percentage of enrollees who identified as female was 54.1% in the Medicaid program, 56.2% in the Medicare program, and 50.4% in private insurance. The mean (SD) age was 26.9 (21.8) years for Medicaid and 75.0 (7.9) years for Medicare enrollees; for private insurance enrollees, just age brackets were reported: 18 to 24 years (15.9%), 25 to 34 years (24.2%), 35 to 44 years (21.3%), 45 to 54 years (20.8%), and 55 to 64 years (17.8%). In 2017, the mean (SD) HRR-level spending per beneficiary was $4441 ($710) for private insurance, $10 281 ($1294) for Medicare, and $6127 ($1428) for Medicaid. Across HRRs, the correlation coefficients and 95% CIs were 0.020 (-0.106 to 0.146; P = .76) for private insurance and Medicare spending, 0.213 (0.090 to 0.330; P < .001) for private insurance and Medicaid, and 0.162 (0.037 to 0.282; P < .01) for Medicare and Medicaid. Just 3 HRRs (Boulder, Colorado; Bloomington, Illinois; and Olympia, Washington) were in the lowest spending quintile for all 3 insurance programs; 4 HRRs were in the highest (The Bronx, New York; Manhattan, New York; White Plains, New York; and Dallas, Texas). By contrast, the correlation coefficients and 95% CIs for utilization, measured in hospital days, were 0.465 (0.361 to 0.559; P < .001) for private insurance and Medicare, 0.527 (0.429 to 0.612; P < .001) for private insurance and Medicaid, and 0.278 (0.157 to 0.390; P < .001) for Medicare and Medicaid. Conclusions and Relevance: These findings suggest that payer-specific factors are correlated with health spending variation among Medicare beneficiaries, Medicaid beneficiaries, and the commercially insured and that payer-specific policies will be necessary to improve efficiency in the US health sector.

Indexed as

MedicaidMedicareAdolescentAdultAgedCross-Sectional StudiesFee-for-Service PlansFemaleHealth ExpendituresHumansUnited StatesYoung Adult

Identifiers

PMID35857326
PMCPMC9301520
OpenAlexW4286001654

What OpenQuestion holds

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LicenceCC BY
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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.