Evidence map›Paper›PMID 40578927›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2025

Factors Associated with Documenting Social Determinants of Health in Electronic Health Records.

Jeongyoung Park, Yalda Jabbarpour, Robert L Phillips, Andrew W Bazemore, Nathaniel Hendrix

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Women's Health Care, Prevention in Practice, and Common Medical Illnesses.Journal of the American Board of Family Medicine : JABFM
    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.

Jeongyoung ParkFrom the Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (JP); Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (YJ); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (RLP); Research & Policy, American Board of Family Medicine, Center for Professionalism & Value in Health Care, Washington, DC (AWB); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (NH). jpark@aafp.org.
Yalda JabbarpourFrom the Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (JP); Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (YJ); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (RLP); Research & Policy, American Board of Family Medicine, Center for Professionalism & Value in Health Care, Washington, DC (AWB); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (NH).
Robert L PhillipsFrom the Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (JP); Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (YJ); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (RLP); Research & Policy, American Board of Family Medicine, Center for Professionalism & Value in Health Care, Washington, DC (AWB); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (NH).
Andrew W BazemoreFrom the Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (JP); Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (YJ); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (RLP); Research & Policy, American Board of Family Medicine, Center for Professionalism & Value in Health Care, Washington, DC (AWB); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (NH).
Nathaniel HendrixFrom the Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (JP); Robert Graham Center for Policy Studies in Family Medicine and Primary Care, American Academy of Family Physicians, Washington, DC (YJ); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (RLP); Research & Policy, American Board of Family Medicine, Center for Professionalism & Value in Health Care, Washington, DC (AWB); Center for Professionalism & Value in Health Care, American Board of Family Medicine, Washington, DC (NH).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSocial determinants of health (SDOH) significantly impact health outcomes, yet their integration into clinical decision making is inconsistent. We examined how family physicians document SDOH in electronic health records (EHRs) and identified factors influencing this practice.

methodsWe performed a cross-sectional analysis of 2,089 family physicians completing the 2022 American Board of Family Medicine Continuous Certification Questionnaire. The outcome was physicians' self-reported SDOH documentation by checking a box within the EHR, writing it in a note, or entering it as a diagnosis. Physician, practice, and community characteristics associated with SDOH documentation were assessed, using logistic regression.

resultsWe found that 61% of family physicians documented SDOH in notes, with fewer using checkboxes (46%) or diagnosis codes (35%). Across models, factors persistently positively associated with documenting SDOH included participating in value-based programs, having more resources for social needs, collaborating with neighborhood organizations, and working in a more disadvantaged area (higher Social Deprivation Index [SDI] score). For example, family physicians who worked in areas with the third quartile of SDI (OR = 1.366, 95% CI = 1.037 - 1.799) and the fourth quartile of SDI (OR = 1.364, 95% CI = 1.032 - 1.804) were more likely to enter SDOH as a diagnosis, compared with those in the least disadvantaged areas. DISCUSSION: Socioeconomic aspects of the communities and a practice-level capacity to address SDOH were the biggest predictors of documenting SDOH, rather than the physicians' own characteristics. These findings affirm the necessity of financial incentives and well-resourced care teams to successfully achieve integrated SDOH in primary care practice.

Indexed as

DocumentationElectronic Health RecordsFamily PracticePhysicians, FamilySocial Determinants of HealthAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesClinical Decision-MakingCross-Sectional StudiesDocumentationElectronic Health RecordsFamily PhysiciansHealth EquityLogistic RegressionOutcomes AssessmentPrimary Health CareSocial DeprivationSocial Determinants of HealthSocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID40578927
PMCPMC12616841

What OpenQuestion holds

Textmetadata
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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.