Evidence map›Paper›PMID 35862115›Full record

ArticleHealth services research2023

The adoption of social determinants of health documentation in clinical settings.

Maura M Kepper, Callie Walsh-Bailey, Beth Prusaczyk, Min Zhao, Cynthia Herrick, Randi Foraker

Abstract read
In one paragraph

Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  17. Physician explanation of Z-coded homelessness in medicaid claims.Health services & outcomes research methodology · 2025
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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

6 authors.

Maura M KepperPrevention Research Center, Brown School, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0002-5971-9189
Callie Walsh-BaileyPrevention Research Center, Brown School, Washington University in St. Louis, St. Louis, Missouri, USA.
Beth PrusaczykInstitute for Public Health, Washington University in St. Louis, St. Louis, Missouri, USA.
Min ZhaoInstitute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA.
Cynthia HerrickInstitute for Public Health, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0001-9696-6018
Randi ForakerInstitute for Public Health, Washington University in St. Louis, St. Louis, Missouri, USA.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
The Retain Study: Recruiting and Engaging with Technology Older Adults to Increase NeurocognitionU48DP006395 · DP · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2018 to 2023
$4.8M
Washington University K12 Program in T4 Implementation ResearchK12HL137942 · NHLBI · WASHINGTON UNIVERSITY · PI DAVILA-ROMAN, VICTOR G. · 2017 to 2021
$3.1M
Training LEADers to Accelerate Global Mental Health Disparities in Research (LEAD)T37MD014218 · NIMHD · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A, SSEWAMALA, FRED M · 2019 to 2023
$1.3M
Clinic to Community Connections: Enhancing Prenatal to Postpartum Care Transitions to Prevent Type 2 Diabetes in Low Income Women with Gestational DiabetesK23HD096204 · NICHD · WASHINGTON UNIVERSITY · PI HERRICK, CYNTHIA J · 2019 to 2022
$639k
Improving Alzheimer's Disease and Related Dementias Care in Rural AreasK01AG071749 · NIA · WASHINGTON UNIVERSITY · PI Patricia Elizabeth Prusaczyk · 2022 to 2026
$558k
ACL HHS U48DP006395NCCDPHP CDC HHS U48 DP006395NHLBI NIH HHS K12 HL137942NIA NIH HHS K01 AG071749NICHD NIH HHS K23 HD096204NIDDK NIH HHS P30 DK092950NIMHD NIH HHS T37 MD014218
6 · The paper itself

Abstract

objectiveTo understand the frequency of social determinants of health (SDOH) diagnosis codes (Z-codes) within the electronic health record (EHR) for patients with prediabetes and diabetes and examine factors influencing the adoption of SDOH documentation in clinical care. DATA SOURCES: EHR data and qualitative interviews with health care providers and stakeholders. STUDY

designAn explanatory sequential mixed methods design first examined the use of Z-codes within the EHR and qualitatively examined barriers to documenting SDOH. Data were integrated and interpreted using a joint display. This research was informed by the Framework for Dissemination and Utilization of Research for Health Care Policy and Practice. DATA COLLECTION/EXTRACTION

methodsWe queried EHR data for patients with a hemoglobin A1c > 5.7 between October 1, 2015 and September 1, 2020 (n = 118,215) to examine the use of Z-codes and demographics and outcomes for patients with and without social needs. Semi-structured interviews were conducted with 23 participants (n = 15 health care providers; n = 7 billing and compliance stakeholders). The interview questions sought to understand how factors at the innovation-, individual-, organizational-, and environmental-level influence SDOH documentation. We used thematic analysis to analyze interview data. PRINCIPAL

findingsPatients with social needs were disproportionately older, female, Black, uninsured, living in low-income and high unemployment neighborhoods, and had a higher number of hospitalizations, obesity, prediabetes, and type 2 diabetes than those without a Z-code. Z-codes were not frequently used in the EHR (<1% of patients), and there was an overall lack of congruence between quantitative and qualitative results related to the prevalence of social needs. Providers faced barriers at multiple levels (e.g., individual-level: discomfort discussing social needs; organizational-level: limited time, competing priorities) for documenting SDOH and identified strategies to improve documentation.

conclusionsProviders recognized the impact of SDOH on patient health and had positive perceptions of screening for and documenting social needs. Implementation strategies are needed to improve systematic documentation.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateDocumentationElectronic Health RecordsFemaleHumansSocial Determinants of Healthdelivery of health carediabetesimplementation sciencesocial determinants of healthsocial needs

Identifiers

PMID35862115
PMCPMC9836948

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.