Evidence mapPaperPMID 38873294Full record

ArticleFrontiers in public health2024

Characteristics of hospital and health system initiatives to address social determinants of health in the United States: a scoping review of the peer-reviewed literature.

Pavani Rangachari, Alisha Thapa, Dawa Lhomu Sherpa, Keerthi Katukuri, Kashyap Ramadyani, Hiba Mohammed Jaidi, Lewis Goodrum

Abstract readScoping Review
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Local Violence as an Environmental Exposure with Increasing Relevance under Climate Change: A Conceptual Framework.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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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

7 authors.

Pavani RangachariDepartment of Population Health and Leadership, School of Health Sciences, University of New Haven, West Haven, CT, United States.
Alisha ThapaDepartment of Population Health and Leadership, School of Health Sciences, University of New Haven, West Haven, CT, United States.
Dawa Lhomu SherpaDepartment of Population Health and Leadership, School of Health Sciences, University of New Haven, West Haven, CT, United States.
Keerthi KatukuriDepartment of Population Health and Leadership, School of Health Sciences, University of New Haven, West Haven, CT, United States.
Kashyap RamadyaniDepartment of Population Health and Leadership, School of Health Sciences, University of New Haven, West Haven, CT, United States.
Hiba Mohammed JaidiDepartment of Population Health and Leadership, School of Health Sciences, University of New Haven, West Haven, CT, United States.
Lewis GoodrumNortheast Medical Group, Yale New Haven Health System, Stratford, CT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the incentives and provisions created for hospitals by the US Affordable Care Act related to value-based payment and community health needs assessments, concerns remain regarding the adequacy and distribution of hospital efforts to address SDOH. This scoping review of the peer-reviewed literature identifies the key characteristics of hospital/health system initiatives to address SDOH in the US, to gain insight into the progress and gaps. Methods: PRISMA-ScR criteria were used to inform a scoping review of the literature. The article search was guided by an integrated framework of Healthy People SDOH domains and industry recommended SDOH types for hospitals. Three academic databases were searched for eligible articles from 1 January 2018 to 30 June 2023. Database searches yielded 3,027 articles, of which 70 peer-reviewed articles met the eligibility criteria for the review. Results: Most articles (73%) were published during or after 2020 and 37% were based in Northeast US. More initiatives were undertaken by academic health centers (34%) compared to safety-net facilities (16%). Most (79%) were research initiatives, including clinical trials (40%). Only 34% of all initiatives used the EHR to collect SDOH data. Most initiatives (73%) addressed two or more types of SDOH, e.g., food and housing. A majority (74%) were downstream initiatives to address individual health-related social needs (HRSNs). Only 9% were upstream efforts to address community-level structural SDOH, e.g., housing investments. Most initiatives (74%) involved hot spotting to target HRSNs of high-risk patients, while 26% relied on screening and referral. Most initiatives (60%) relied on internal capacity vs. community partnerships (4%). Health disparities received limited attention (11%). Challenges included implementation issues and limited evidence on the systemic impact and cost savings from interventions. Conclusion: Hospital/health system initiatives have predominantly taken the form of downstream initiatives to address HRSNs through hot-spotting or screening-and-referral. The emphasis on clinical trials coupled with lower use of EHR to collect SDOH data, limits transferability to safety-net facilities. Policymakers must create incentives for hospitals to invest in integrating SDOH data into EHR systems and harnessing community partnerships to address SDOH. Future research is needed on the systemic impact of hospital initiatives to address SDOH.

Indexed as

Social Determinants of HealthDelivery of Health CareHospitalsHumansPatient Protection and Affordable Care ActUnited Stateselectronic health recordshealth-related social needshospitals and health systemshot spottingpopulation healthpublic healthscreening and referralsocial determinants of health

Identifiers

PMID38873294
PMCPMC11173975

What Socratic holds

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LicenceCC BY
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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 Socratic graph.