Evidence map›Paper›PMID 32412300›Full record

Observational studyCirculation. Cardiovascular quality and outcomes2020

Social Determinants of Health Improve Predictive Accuracy of Clinical Risk Models for Cardiovascular Hospitalization, Annual Cost, and Death.

Gmerice Hammond, Kenton Johnston, Kristine Huang, Karen E Joynt Maddox

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Circulation. Cardiovascular quality and outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
9.5field-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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Financial Toxicity and Multidimensional Economic Strain Among Dementia Caregivers.Alzheimer's & dementia. Behavior & socioeconomics of aging · 2026
    Article
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  10. Social determinants of health and hospitalization risk in heart failure: A Retrospective analysis.American heart journal plus : cardiology research and practice · 2026
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  15. Observational
  16. Article
  17. Impact of Social Determinants of Health on Cardiovascular Disease.Journal of the American Heart Association · 2025
    Review
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  19. Review
  20. Article
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

4 authors at 2 institutions in 1 country.

Gmerice HammondCardiovascular Division, Washington University School of Medicine, St. Louis, MO (G.H., K.H., K.E.J.M.).
Kenton JohnstonDepartment of Health Management and Policy, Saint Louis University College for Public Health and Social Justice, St. Louis, MO (K.J.).
Kristine HuangCardiovascular Division, Washington University School of Medicine, St. Louis, MO (G.H., K.H., K.E.J.M.).
Karen E Joynt MaddoxCardiovascular Division, Washington University School of Medicine, St. Louis, MO (G.H., K.H., K.E.J.M.).
Washington University in St. Louis · USSaint Louis University · US

Funding

PRINCIPLES IN CARDIVASCULAR RESEARCH TRAINING PROGRAMT32HL007081 · NHLBI · WASHINGTON UNIVERSITY · PI Abhinav Diwan, Karen Ellen Joynt Maddox · 1985 to 2026
$10.6M
The Impact of Bundled Payments for Cardiopulmonary Disease on High-Risk PopulationsR01HL143421 · NHLBI · WASHINGTON UNIVERSITY · PI JOYNT MADDOX, KAREN ELLEN · 2019 to 2022
$3.1M
Improving the Quality of Care Provided Through Bundled Payments for Patients with Alzheimer's Disease or Other Forms of Dementia or FrailtyR01AG060935 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI EPSTEIN, ARNOLD, JOYNT MADDOX, KAREN ELLEN · 2019 to 2021
$2.7M
NHLBI NIH HHS R01 HL143421NHLBI NIH HHS T32 HL007081NIA NIH HHS R01 AG060935
6 · The paper itself

Abstract

backgroundRisk models in the private insurance setting may systematically underpredict in the socially disadvantaged. In this study, we sought to determine whether US minority Medicare beneficiaries had disproportionately low costs compared with their clinical outcomes and whether adding social determinants of health (SDOH) into risk prediction models improves prediction accuracy. METHODS AND

resultsRetrospective observational cohort study of 2016 to 2017 Medicare Current Beneficiary Survey data (n=3614) linked to Medicare fee-for-service claims. Logistic and linear regressions were used to determine the relationship between race/ethnicity and annual costs of care, all-cause hospitalization, cardiovascular hospitalization, and death. We calculated the observed-to-expected (O:E) ratios for all outcomes under 4 risk models: (1) age+sex, (2) model 1+clinical comorbidity adjustment, (3) model 2+SDOH, and (4) SDOH alone. Our sample was 44% male and 11% black or Hispanic. Among minorities, adverse clinical outcomes were inversely related to cost. After multivariable adjustment, blacks/Hispanics had higher rates of cardiovascular hospitalization (incidence rate ratio, 1.78;

conclusionsA paradoxical relationship was observed between clinical outcomes and costs among racial and ethnic minorities. Because of systematic differences in access to care, cost may not be an appropriate surrogate for predicting clinical risk among vulnerable populations. Adjustment for SDOH improves the accuracy of risk models among racial and ethnic minorities and could guide use of prevention strategies.

Indexed as

Socioeconomic FactorsAgedAged, 80 and overCardiovascular DiseasesComorbidityDatabases, FactualFee-for-Service PlansFemaleHealth Care CostsHospitalizationHumansMaleMedicareMiddle AgedPatient Acceptance of Health CarePreventive Health Servicescohort studiesethnic groupshealth policylinear modelsprimary prevention

Identifiers

PMID32412300
PMCPMC7299736
OpenAlexW3025114311

What OpenQuestion holds

Textmetadata
LicenceTDM
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.