Evidence map›Paper›PMID 38216127›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Structured and unstructured social risk factor documentation in the electronic health record underestimates patients' self-reported risks.

Bradley E Iott, Samantha Rivas, Laura M Gottlieb, Julia Adler-Milstein, Matthew S Pantell

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Documentation of Adverse Social Drivers of Health in US Emergency Departments.Journal of the American College of Emergency Physicians open · 2025
    Article
  7. Prenatal homelessness, food insecurity, and unemployment and adverse infant outcomes in a California cohort, 2007-2020.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
  8. Article
  9. Observational
  10. Article
  11. The role of routine and structured social needs data collection in improving care in US hospitals.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  12. 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

5 authors.

Bradley E IottCenter for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-9784-0521
Samantha RivasSocial Interventions Research and Evaluation Network, University of California, San Francisco, San Francisco, CA, United States.
Laura M GottliebSocial Interventions Research and Evaluation Network, University of California, San Francisco, San Francisco, CA, United States.
Julia Adler-MilsteinCenter for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, CA, United States.
Matthew S PantellCenter for Health and Community, University of California, San Francisco, San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNational attention has focused on increasing clinicians' responsiveness to the social determinants of health, for example, food security. A key step toward designing responsive interventions includes ensuring that information about patients' social circumstances is captured in the electronic health record (EHR). While prior work has assessed levels of EHR "social risk" documentation, the extent to which documentation represents the true prevalence of social risk is unknown. While no gold standard exists to definitively characterize social risks in clinical populations, here we used the best available proxy: social risks reported by patient survey. MATERIALS AND

methodsWe compared survey results to respondents' EHR social risk documentation (clinical free-text notes and International Statistical Classification of Diseases and Related Health Problems [ICD-10] codes).

resultsSurveys indicated much higher rates of social risk (8.2%-40.9%) than found in structured (0%-2.0%) or unstructured (0%-0.2%) documentation. DISCUSSION: Ideally, new care standards that include incentives to screen for social risk will increase the use of documentation tools and clinical teams' awareness of and interventions related to social adversity, while balancing potential screening and documentation burden on clinicians and patients.

conclusionEHR documentation of social risk factors currently underestimates their prevalence.

Indexed as

DocumentationElectronic Health RecordsHumansPrevalenceRisk FactorsSelf Reportclinical free-text notesdocumentationelectronic health recordsICD-10 Z codessocial determinants of health

Identifiers

PMID38216127
PMCPMC10873825

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.