Evidence map›Paper›PMID 34110394›Full record

ArticleJAMA network open2021

Social Determinants of Health and Geographic Variation in Medicare per Beneficiary Spending.

Yongkang Zhang, Jing Li, Jiani Yu, Robert Tyler Braun, Lawrence P Casalino

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yongkang ZhangDivision of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York.
Jing LiDivision of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York.
Jiani YuDivision of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York.
Robert Tyler BraunDivision of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York.
Lawrence P CasalinoDivision of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York.

Funding

Effect of Medicare Reimbursement for Care Planning on End of Life Care among Patients with Alzheimer's Disease and Related Dementias: A Quasi-Experimental StudyK01AG066946 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI LI, JING · 2020 to 2024
$633k
Understanding and Predicting High-Need, High-Cost Patients among Older AdultsR00AG064030 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZHANG, YONGKANG · 2022 to 2023
$498k
Understanding and Predicting High-Need, High-Cost Patients among Older AdultsK99AG064030 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZHANG, YONGKANG · 2020 to 2021
$250k
NIA NIH HHS K01 AG066946NIA NIH HHS K99 AG064030NIA NIH HHS R00 AG064030
6 · The paper itself

Abstract

Importance: Despite substantial geographic variation in Medicare per beneficiary spending in the US, little is known about the extent to which social determinants of health (SDoH) are associated with this variation. Objective: To determine the associations between SDoH and county-level price-adjusted Medicare per beneficiary spending. Design, Setting, and Participants: This cross-sectional study used county-level data on 2017 Medicare fee-for-service (FFS) spending, patient demographic characteristics (eg, age and gender) and clinical risk score, supply of health care resources (eg, number of hospital beds), and SDoH measures (eg, median income and unemployment rate) from multiple sources. Multivariable regressions were used to estimate the association of the variation in spending across quintiles with SDoH. Main Outcomes and Measures: 2017 county-level price-adjusted Medicare Parts A and B spending per beneficiary. SDoH measures included socioeconomic position, race/ethnicity, social relationships, and residential and community context. Results: Among 3038 counties with 33 495 776 Medicare FFS beneficiaries (18 352 336 [54.8%] women; mean [SD] age, 72 [1.5] years), mean Medicare price-adjusted per beneficiary spending for counties in the highest spending quintile was $3785 (95% CI, $3706-$3862) higher, or 49% higher, than spending for bottom-quintile counties (mean [SD] spending per beneficiary, $11 464 [735] vs $7679 [522]; P < .001). The total contribution (including through both direct and indirect pathways) of SDoH was 37.7% ($1428 of $3785) of this variation, compared with 59.8% ($2265 of $3785) by patient clinical risk, 14.5% ($549 of $3785) by supply of health care resources, and 19.8% ($751 of $3785) by patient demographic characteristics. When all factors were included within the same model, the direct contribution of SDoH was associated with 5.8% of the variation, compared with 4.6% by supply, 4.7% by patient demographic characteristics, and 62.0% by patient clinical risk. Conclusions and Relevance: These findings suggest social determinants of health are associated with considerable proportions of geographic variation in Medicare spending. Policies addressing SDoH for disadvantaged patients in certain regions have the potential to contain health care spending and improve the value of health care; patient SDoH may need to be accounted for in publicly reported physician performance, and in value-based purchasing incentive programs for health care professionals.

Indexed as

AgedAged, 80 and overCross-Sectional StudiesFemaleGeographyHealth ExpendituresHumansMaleMedicareSocial Determinants of HealthUnited States

Identifiers

PMID34110394
PMCPMC8193453

What OpenQuestion holds

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Registered trials

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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.