Evidence map›Paper›PMID 35308947›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021

Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model.

Jimmy Phuong, Elizabeth Zampino, Nicholas Dobbins, Juan Espinoza, Daniella Meeker, Heidi Spratt, Charisse Madlock-Brown, Nicole G Weiskopf, Adam Wilcox

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021. 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
  2. Article
  3. Article
  4. Review
  5. The impact of the Social Exposome in Cardiovascular Health and Disease.Journal of precision medicine (Amsterdam, Netherlands) · 2025
    Article
  6. Article
  7. Review
  8. Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

9 authors.

Jimmy PhuongDivision of Biomedical and Health Informatics, UW Medicine, Seattle, Washington.
Elizabeth ZampinoDivision of Biomedical and Health Informatics, UW Medicine, Seattle, Washington.
Nicholas DobbinsDivision of Biomedical and Health Informatics, UW Medicine, Seattle, Washington.
Juan EspinozaDepartment of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA.
Daniella MeekerDepartment of Preventive Medicine, University of Southern California, Los Angeles, California.
Heidi SprattPreventative Medicine and Population Health, University of Texas Medical Branch, Galveston, Texas.
Charisse Madlock-BrownDept of Health Informatics and Information Management, University of Tennessee Health Science Center, Memphis, Tennessee.
Nicole G WeiskopfDepartment of Medical Informatics and Clinical Epidemiology, OHSU, Portland, Oregon.
Adam WilcoxDivision of Biomedical and Health Informatics, UW Medicine, Seattle, Washington.

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an example of an Electronic Health Record (EHR) database of patients tested for COVID-19 that could benefit from a SDoH elements framework that captures various screening instruments in EHR data warehouse systems. This paper uses the University of Washington Enterprise Data Warehouse (a data contributor to N3C) to demonstrate how SDoH can be represented and managed to be made available within an OMOP common data model. We found that these data varied by type of social determinants data and where it was collected, in the time period that it was collected, and in how it was represented.

Indexed as

COVID-19Social Determinants of HealthElectronic Health RecordsHumansMass ScreeningSurveys and Questionnaires

Identifiers

PMID35308947
PMCPMC8861735

What OpenQuestion holds

Textmetadata
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.