Evidence map›Paper›PMID 37929716›Full record

ArticleJournal of the American Heart Association2023

Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review.

Elizabeth McNeill, Zoe Lindenfeld, Logina Mostafa, Dina Zein, Diana Silver, José Pagán, William B Weeks, Ann Aerts, Sarah Des Rosiers, Johannes Boch and 1 more

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

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  13. The health data utility and the resurgence of health information exchanges as a national resource.Journal of the American Medical Informatics Association : JAMIA · 2025
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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

11 authors at 3 institutions in 2 countries.

Elizabeth McNeillDepartment of Public Health Policy and Management New York University School of Global Public Health New York NY USA.ORCID 0000-0002-4850-9346
Zoe LindenfeldDepartment of Public Health Policy and Management New York University School of Global Public Health New York NY USA.ORCID 0000-0002-5456-7665
Logina MostafaDepartment of Public Health Policy and Management New York University School of Global Public Health New York NY USA.
Dina ZeinDepartment of Public Health Policy and Management New York University School of Global Public Health New York NY USA.ORCID 0000-0003-0740-4641
Diana SilverDepartment of Public Health Policy and Management New York University School of Global Public Health New York NY USA.ORCID 0000-0002-8135-0306
José PagánDepartment of Public Health Policy and Management New York University School of Global Public Health New York NY USA.ORCID 0000-0002-8915-9602
William B WeeksMicrosoft Corporation, Precision Population Health, Microsoft Research Redmond WA USA.
Ann AertsThe Novartis Foundation Basel Switzerland.ORCID 0000-0003-1241-8730
Sarah Des RosiersThe Novartis Foundation Basel Switzerland.
Johannes BochThe Novartis Foundation Basel Switzerland.ORCID 0000-0002-4050-2852
Ji Eun ChangDepartment of Public Health Policy and Management New York University School of Global Public Health New York NY USA.
New York University · USNovartis Foundation · CHMicrosoft (United States) · US

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

Background Cardiovascular disease is the leading cause of morbidity and mortality worldwide. Prior research suggests that social determinants of health have a compounding effect on health and are associated with cardiovascular disease. This scoping review explores what and how social determinants of health data are being used to address cardiovascular disease and improve health equity. Methods and Results After removing duplicate citations, the initial search yielded 4110 articles for screening, and 50 studies were identified for data extraction. Most studies relied on similar data sources for social determinants of health, including geocoded electronic health record data, national survey responses, and census data, and largely focused on health care access and quality, and the neighborhood and built environment. Most focused on developing interventions to improve health care access and quality or characterizing neighborhood risk and individual risk. Conclusions Given that few interventions addressed economic stability, education access and quality, or community context and social risk, the potential for harnessing social determinants of health data to reduce the burden of cardiovascular disease remains unrealized.

Indexed as

Cardiovascular DiseasesHealth EquityHealth Services AccessibilityHumansResidence CharacteristicsSocial Determinants of Healthcardiovascular diseasedata‐driven interventionshealth equityhypertensionsocial determinants of health

Identifiers

PMID37929716
PMCPMC10727404
OpenAlexW4388420913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.