Effects of In-Person Navigation to Address Family Social Needs on Child Health Care Utilization: A Randomized Clinical Trial
Open accessAbstract
Importance: While many organizations endorse screening for social risk factors in clinical settings, few studies have examined the health and utilization effects of interventions to address social needs. Objective: To compare the acute care utilization effects of a written resources handout vs an in-person navigation service intervention to address social needs. Design, Settings, and Participants: In this secondary analysis of a randomized clinical trial, 1809 adult caregivers of pediatric patients seen in primary and urgent care clinics of 2 safety-net hospitals in northern California were recruited between October 13, 2013, and August 27, 2015. Each participating family was randomly assigned to an in-person navigator intervention vs active control to address the family's social needs. Analyses were conducted between February 28, 2018, and September 25, 2019. Interventions: Caregivers either received written information about relevant local resources related to social needs (active control) or met with a patient navigator focused on helping them resolve social needs (navigator intervention). After an initial in-person visit, navigation services included telephone, email, and/or in-person follow-up for up to 3 months. Main Outcome and Measures: Child emergency department visit or hospitalization within 12 months of study enrollment. Results: Among the 1300 caregivers enrolled in the study without missing follow-up data, most spoke English (878 [67.5%]) and were women (1127 [86.7%]), with a mean (SD) age of 33.0 (9.33) years. Most children were aged 0 to 5 years (779 of 1300 [59.9%]), 723 children (55.6%) had Hispanic ethnicity, and 462 children (35.5%) were in excellent health; 840 families (64.6%) were recruited from urgent care. In total, 637 families (49.0%) were randomized to the in-person navigator group and 663 (51.0%) to the active control group. There was no difference in risk of an emergency department visit between the 2 groups. Children enrolled in the in-person navigator group had a decreased risk of hospitalization within 12 months (hazard ratio, 0.59; 05% CI, 0.38-0.94; P = .03), making them 69% less likely to be hospitalized. Conclusions and Relevance: In this randomized clinical trial evaluating heath care utilization effects of programs designed to address social needs among families, children enrolled in the navigation group were significantly less likely to be hospitalized after the intervention but equally likely to have an emergency department visit. These findings strengthen our understanding of the effects of addressing social needs in clinical settings as part of a comprehensive strategy to improve health and reduce health care utilization. Trial Registration: ClinicalTrials.gov Identifier: NCT01939704.
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Unmet social needs are linked to clinical outcomes such as uncontrolled diabetes and hypertension and to higher levels of utilization including hospital readmissions.
“Unmet social needs have been linked to important clinical outcomes such as uncontrolled diabetes and hypertension as well as higher levels of utilization, including hospital readmissions.4–7”
From Documentation and review of social determinants of health data in the EHR: measures and associated insights (2021) · cites this paper as [6]
The Introduction (page not provided) links social risk factors with child health outcomes, and the Results report fewer pediatric hospitalizations after in-person navigation. The paper does not report uncontrolled diabetes, uncontrolled hypertension, or hospital readmissions, so those specific examples are not supported by this source. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPrior work investigating social risk factor documentation using ICD-10 codes has suggested that these codes are underutilized, and one study found that ICD codes were used less frequently to document social risk factors when compared to note narratives (unstructured data).
“Prior work investigating social risk factor documentation using International Statistical Classification of Diseases and Related Health Problems (ICD-10) codes, specifically, has suggested that these codes are underutilized, 3,4 and 1 study found that ICD codes were used less frequently to document social risk factors when compared to note narratives (unstructured data).5”
From Structured and unstructured social risk factor documentation in the electronic health record underestimates patients’ self-reported risks (2024) · cites this paper as [4]
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredIn healthcare delivery settings, both the documentation and review of SDOH data in EHRs are critical components of integration.
“In healthcare delivery settings, both the documentation and review of SDOH data in EHRs are critical components of integration.6”
From Documentation and review of social determinants of health data in the EHR: measures and associated insights (2021) · cites this paper as [6]
The Methods > Measures section says social risks were collected by questionnaire, while ED visits and hospitalizations were abstracted from EHRs. The Introduction discusses clinical social-risk screening, but neither section addresses documenting and reviewing SDOH data in EHRs as critical components of integration. Searches for EHR documentation and review found no supporting passage; page numbers were not available in our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measured
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Cites
Adoption of Social Determinants of Health EHR Tools by Community Health Centers
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Self-citationMedical-Legal Strategies to Improve Infant Health Care: A Randomized Trial
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Wang, M., Pantell, M. S., Gottlieb, L. M., & Adler-Milstein, J. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab194 · Cited by 107 · see citing works
Self-citationIott, B. E., Rivas, S., Gottlieb, L. M., Adler-Milstein, J., & Pantell, M. S. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocad261 · Cited by 17 · see citing works
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- Authors
- Pantell, M. S., Hessler, D., Long, D., Alqassari, M., Schudel, C., Laves, E., Velazquez, D. E., Amaya, A., Sweeney, P., Burns, A., Harrison, F. L., Adler, N. E., & Gottlieb, L. M.
- Affiliations
- University of California, San Francisco (US)
- Planned Parenthood (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Pantell, Matthew S.
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2020-06-01
- Volume
- 3
- Issue
- 6
- Pages
- e206445
- ISSN
- 2574-3805 (ISSN-L)
- PMC
- PMC7265099
- OpenAlex
- W3028621459
- Cited by
- 90
- References
- 3
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 13 · 2023: 15 · 2022: 14 · 2021: 16 · 2020: 1
- FWCI
- 12.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JAMA Network Open (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Robert Wood Johnson Foundation
- Commonwealth Fund
- Kaiser Permanente
- J.B. and M.K. Pritzker Family Foundation
- Topics
- Health Sciences › Health Professions › General Health Professions › Child and Adolescent Health
- Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
- Health Sciences › Health Professions › General Health Professions › Food Security and Health in Diverse Populations
- Keywords
- social needs, patient navigation, patient navigators, child health care utilization, pediatric hospitalization, emergency department visits, family caregivers, social risk screening, safety-net hospitals, urgent care, social determinants of health, Latino families, language barriers, uninsured children, child food insecurity
- MeSH terms
- Adult, Ambulatory Care, California, Child Health Services, Child, Preschool, Emergency Service, Hospital, Family, Female, Follow-Up Studies, Hospitalization, Humans, Infant, Male, Mass Screening, Patient Acceptance of Health Care, Primary Health Care, Risk Factors, Caregivers, Patient Navigation, Safety-net Providers
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