ArticleJAMA network open2022
Geographical Variation in Health Spending Across the US Among Privately Insured Individuals and Enrollees in Medicaid and Medicare.
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.
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
22 citing papers in PubMed, 38 citations in OpenAlex.
- Cost-Effectiveness of Endovascular vs Open Surgery for Chronic Limb-Threatening Ischemia.JAMA network open · 2026Article
- Antiviral Dispensing for Influenza Outpatients Younger Than 65 Years With Comorbidities: A Retrospective Cohort Study.Open forum infectious diseases · 2026Article
- Practice patterns and inpatient outcomes in lung abscess: a cross sectional study.Journal of thoracic disease · 2026Article
- Geographic Variation in Primary Care Spending Among the Commercially Insured Population.JAMA network open · 2026Article
- Supply of interventional cardiologists and the provision of lower-value Percutaneous Coronary Interventions (PCI).PloS one · 2026Article
- Sociodemographic Differences in Long-Term Function After Total Hip and Knee Arthroplasty: A Scoping Review.Orthopaedic surgery · 2025Article
- Medicaid Primary Care Utilization and Area-Level Social Vulnerability.JAMA health forum · 2025Article
- Drivers of Variation in Health Care Spending Across US Counties.JAMA health forum · 2025Article
- 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 · 2025Article
- Center-Related Variation in Hospitalization Cost for Patients Undergoing Percutaneous Left Atrial Appendage Occlusion.Structural heart : the journal of the Heart Team · 2025Article
- Relationship Between Insurance Status and Receipt of Cardiac Tests and Procedures During Hospitalization: A Cross-Sectional Study.Journal of the American Heart Association · 2024Article
- Geographic Variation in the Utilization of Services Surrounding Lung Cancer Resection.Annals of thoracic surgery short reports · 2024Article
- Regional Differences in Primary Total Knee Arthroplasty Utilization, Physician Reimbursement, and Patient Characteristics.Arthroplasty today · 2024Article
- Medicare Advantage Plan Star Ratings and County Social Vulnerability.JAMA network open · 2024Article
- The relationship between community social risk factors and regional hospital-reported cash, negotiated, and chargemaster prices for 14 common services.BMC health services research · 2024Article
- American clusters: using machine learning to understand health and health care disparities in the United States.Health affairs scholar · 2024Article
- Inequity in Cancer and Cancer Care Delivery in the United States.Hematology/oncology clinics of North America · 2024Review
- The role of payment and financing in achieving health equity.Health services research · 2023Article
- Comparing ambulatory commercial spending in Rhode Island and Massachusetts, 2016-2019.Health services research · 2023Observational
- Error in Figures.JAMA network open · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
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
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.