Evidence map›Paper›PMID 38147867›Full record

ArticleYearbook of medical informatics2023

Enriching Real-world Data with Social Determinants of Health for Health Outcomes and Health Equity: Successes, Challenges, and Opportunities.

Zhe He, Emily Pfaff, Serena Jingchuan Guo, Yi Guo, Yonghui Wu, Cui Tao, Gregor Stiglic, Jiang Bian

Open access · hybridAbstract read
In one paragraph

Article in Yearbook of medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

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  18. Informatics for One Health.Yearbook of medical informatics · 2023
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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

8 authors at 5 institutions in 3 countries.

Zhe HeSchool of Information, Florida State University, United States.
Emily PfaffDepartment of Medicine, University of North Carolina at Chapel Hill School of Medicine, United States.
Serena Jingchuan GuoDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, United States.
Yi GuoDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, United States.
Yonghui WuDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, United States.
Cui TaoSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, United States.
Gregor StiglicFaculty of Health Science, University of Maribor, Slovenia.
Jiang BianDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, United States.
University of Florida · USFlorida State University · USThe University of Texas Health Science Center at Houston · USUniversity of Edinburgh · GBUniversity of North Carolina at Chapel Hill · US

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2015 to 2025
$26.4M
SMARTer Healthy Choices: Optimizing a state-wide scalable intervention to improve alcohol and HIV self-management in adolescents and emerging adults (Project SUSTAIN)P01AA029547 · NIAAA · FLORIDA STATE UNIVERSITY · PI ENNIS, NICOLE · 2021 to 2025
$6.5M
Disparities of Alzheimer's disease progression in Sexual Minority IndividualsR01AG080624 · NIA · UNIVERSITY OF FLORIDA · PI Jiang Bian, Yi Guo · 2023 to 2026
$3.1M
Supplement of NIDDK R01 newer GLDs and Clinical OutcomesR01DK133465 · NIDDK · UNIVERSITY OF FLORIDA · PI GUO, JINGCHUAN, SHAO, HUI · 2022 to 2025
$2.8M
The benefits and harms of lung cancer screening in FloridaR01CA246418 · NCI · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, GUO, YI · 2020 to 2023
$1.7M
Using Electronic Health Records from a Large Clinical Data Research Network to Understand Cancer Burden and Cancer Risks Among Transgender and Gender Nonconforming (TGNC) IndividualsR21CA245858 · NCI · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, GUO, YI · 2020 to 2021
$773k
The External Exposome and COVID-19 Severity among Individuals with Alzheimer’s Disease and Related DementiasR21ES032762 · NIEHS · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, HU, HUI · 2020 to 2021
$638k
Prediction of Health Outcomes and Adverse Events in Pediatric Organ Transplantation in FloridaR21LM013911 · NLM · FLORIDA STATE UNIVERSITY · PI HE, ZHE, KILLIAN, MICHAEL · 2022 to 2023
$395k
ACL HHS U18DP006512NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1 TR002489NCCDPHP CDC HHS U18 DP006512NCI NIH HHS R01 CA246418NCI NIH HHS R21 CA245858NIAAA NIH HHS P01 AA029547NIA NIH HHS R01 AG080624NIDDK NIH HHS R01 DK133465NIEHS NIH HHS R21 ES032762NIEHS NIH HHS U2C ES026555NLM NIH HHS R21 LM013911
6 · The paper itself

Abstract

objectiveTo summarize the recent methods and applications that leverage real-world data such as electronic health records (EHRs) with social determinants of health (SDoH) for public and population health and health equity and identify successes, challenges, and possible solutions.

methodsIn this opinion review, grounded on a social-ecological-model-based conceptual framework, we surveyed data sources and recent informatics approaches that enable leveraging SDoH along with real-world data to support public health and clinical health applications including helping design public health intervention, enhancing risk stratification, and enabling the prediction of unmet social needs.

resultsBesides summarizing data sources, we identified gaps in capturing SDoH data in existing EHR systems and opportunities to leverage informatics approaches to collect SDoH information either from structured and unstructured EHR data or through linking with public surveys and environmental data. We also surveyed recently developed ontologies for standardizing SDoH information and approaches that incorporate SDoH for disease risk stratification, public health crisis prediction, and development of tailored interventions.

conclusionsTo enable effective public health and clinical applications using real-world data with SDoH, it is necessary to develop both non-technical solutions involving incentives, policies, and training as well as technical solutions such as novel social risk management tools that are integrated into clinical workflow. Ultimately, SDoH-powered social risk management, disease risk prediction, and development of SDoH tailored interventions for disease prevention and management have the potential to improve population health, reduce disparities, and improve health equity.

Indexed as

Health EquityPopulation HealthElectronic Health RecordsHumansOutcome Assessment, Health CareSocial Determinants of Health

Identifiers

PMID38147867
PMCPMC10751148
OpenAlexW4390239762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.