Evidence map›Paper›PMID 37301740›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO).

Yifang Dang, Fang Li, Xinyue Hu, Vipina K Keloth, Meng Zhang, Sunyang Fu, Muhammad F Amith, J Wilfred Fan, Jingcheng Du, Evan Yu and 4 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 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
–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

16 citing papers in PubMed.

  1. Article
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  4. Review
  5. Hootation: A GUI and API library for ontology validation and verbalization.Proceedings. IEEE International Conference on Semantic Computing · 2026
    Article
  6. Comparing LLM and Fine-Tuned Model Performance on NVDRS Circumstance Extraction with Varying Prompt Complexity.Proceedings. IEEE International Conference on Healthcare Informatics · 2026
    Article
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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

14 authors.

Yifang DangSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0002-4014-2957
Fang LiSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0001-8865-7717
Xinyue HuSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Vipina K KelothSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Meng ZhangSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Sunyang FuSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0003-1691-5179
Muhammad F AmithSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0003-4333-1857
J Wilfred FanDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Jingcheng DuSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0002-0322-4566
Evan YuSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Hongfang LiuSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0003-2570-3741
Xiaoqian JiangSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0001-9933-2205
Hua XuSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0002-5274-4672
Cui TaoSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Genetic & Social Determinants of Health: Center for Admixture Science and TechnologyRM1HG011558 · NHGRI · YALE UNIVERSITY · PI FRAZER, KELLY A, GYMREK, MELISSA · 2021 to 2025
$11.2M
VIOLIN 2.0: Vaccine Information and Ontology LInked kNowledgebaseU24AI171008 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yongqun He, Junguk Hur · 2022 to 2026
$4.2M
Facilitate Observational Studies of Alzheimer's Disease and Alzheimer's Disease-Related Dementias Using Ontology and Natural Language ProcessingRF1AG072799 · NIA · YALE UNIVERSITY · PI LIU, HONGFANG, TAO, CUI · 2021 to 2021
$2.4M
Facilitate Observational Studies of Alzheimer's Disease and Alzheimer's Disease-Related Dementias Using Ontology and Natural Language ProcessingR01AG072799 · NIA · YALE UNIVERSITY · PI HONGFANG LIU, Cui Tao · 2025 to 2026
$1.7M
NHGRI NIH HHS RM1 HG011558NIAID NIH HHS U24 AI171008NIA NIH HHS R01 AG072799NIA NIH HHS RF1 AG072799NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

objectiveSocial determinants of health (SDoH) play critical roles in health outcomes and well-being. Understanding the interplay of SDoH and health outcomes is critical to reducing healthcare inequalities and transforming a "sick care" system into a "health-promoting" system. To address the SDOH terminology gap and better embed relevant elements in advanced biomedical informatics, we propose an SDoH ontology (SDoHO), which represents fundamental SDoH factors and their relationships in a standardized and measurable way. MATERIAL AND

methodsDrawing on the content of existing ontologies relevant to certain aspects of SDoH, we used a top-down approach to formally model classes, relationships, and constraints based on multiple SDoH-related resources. Expert review and coverage evaluation, using a bottom-up approach employing clinical notes data and a national survey, were performed.

resultsWe constructed the SDoHO with 708 classes, 106 object properties, and 20 data properties, with 1,561 logical axioms and 976 declaration axioms in the current version. Three experts achieved 0.967 agreement in the semantic evaluation of the ontology. A comparison between the coverage of the ontology and SDOH concepts in 2 sets of clinical notes and a national survey instrument also showed satisfactory results. DISCUSSION: SDoHO could potentially play an essential role in providing a foundation for a comprehensive understanding of the associations between SDoH and health outcomes and paving the way for health equity across populations.

conclusionSDoHO has well-designed hierarchies, practical objective properties, and versatile functionalities, and the comprehensive semantic and coverage evaluation achieved promising performance compared to the existing ontologies relevant to SDoH.

Indexed as

Health EquitySocial Determinants of HealthHealthcare DisparitiesHumansSemanticsnatural language processingNLPontologySDoHsocial determinants of health

Identifiers

PMID37301740
PMCPMC10436148

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.