Evidence map›Paper›PMID 32570429›Full record

ArticleStudies in health technology and informatics2020

Translating Social Determinants of Health into Standardized Clinical Entities.

Michael Watkins, Benjamin Viernes, Viet Nguyen, Leonardo Rojas Mezarina, Javier Silva Valencia, Damian Borbolla

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Stressful life events in electronic health records: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  5. Article
  6. Article
  7. ACORN SDOH survey: Terminological representation for use with NLP and CDS.Journal of clinical and translational science · 2024
    Article
  8. Article
  9. Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO).Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  10. Article
  11. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  12. Review
  13. Article
  14. 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

6 authors.

Michael WatkinsBiomedical Informatics, 421 Wakara Way, University of Utah, Salt Lake City, Utah 84108.
Benjamin ViernesPopulation Health Sciences, 295 Chipeta Way, University of Utah, Salt Lake City, Utah 84108.
Viet NguyenStratametrics LLC.
Leonardo Rojas MezarinaInformation Systems Office, Jr. Capac Yupanqui 1400, National Institute of Health, Lima, Perú 15072.
Javier Silva ValenciaTelesalud Unit, Av Grau 755, Universidad Nacional Mayor de San Marcos, School of Medicine, Lima, Perú 15001.
Damian BorbollaBiomedical Informatics, 421 Wakara Way, University of Utah, Salt Lake City, Utah 84108.

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

Social determinants of health (SDH) are a valuable source of health information which still are not fully utilized in the clinical space. Knowing that a certain patient has trouble finding transportation, has a potentially hazardous relationship with a family member or close relative, is currently unemployed, or various other social factors would allow providers to tailor treatment plans in a way to best help that patient. However, these SDH must be gathered, represented, and stored in a standardized way before they can be leveraged by informatics tools designed for health providers. This process of translating SDH to standardized clinical entities includes two main steps. The first is a collaborative effort to establish an ontology of medical terminology codes (i.e., ICD, SNOMED, LOINC, etc.) which can be used to uniformly represent SDH as coded concepts. The second is a collaborative effort to use the FHIR standard to create profiles and extensions which will allow FHIR resources to be used to store the coded SDH as clinical entities. Each of these steps has their own complexities that must be considered and accounted for in future efforts to create interoperable clinical informatics solutions which utilize SDH.

Indexed as

Social Determinants of HealthDelivery of Health CareLogical Observation Identifiers Names and CodesSystematized Nomenclature of MedicineFHIRinteroperabilitySocial determinants of healthtranslational informatics

Identifiers

PMID32570429
PMCPMC8083881

What OpenQuestion holds

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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.