Evidence map›Paper›PMID 40452871›Full record

ArticleHealth services insights2025

Exploring the Routine Recording of Health-Related Social Needs in U.S. Acute Care Hospitals.

Sinyoung Park, Hanadi Y Hamadi, Samira Abdul, Aaron Spaulding, Jing Xu, Mei Zhao

Abstract read
In one paragraph

Article in Health services insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sinyoung ParkDepartment of Health Administration, Brooks College of Health, University of North Florida, Jacksonville, FL, USA.ORCID https://orcid.org/0000-0001-5780-9386
Hanadi Y HamadiDepartment of Health Administration, Brooks College of Health, University of North Florida, Jacksonville, FL, USA.
Samira AbdulDepartment of Health Administration, Brooks College of Health, University of North Florida, Jacksonville, FL, USA.
Aaron SpauldingDivision of Health Care Delivery Research, Mayo Clinic Robert D. and Patricia E. Kern, Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, USA.
Jing XuDepartment of Health Administration, Brooks College of Health, University of North Florida, Jacksonville, FL, USA.
Mei ZhaoDepartment of Health Administration, Brooks College of Health, University of North Florida, Jacksonville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Addressing social determinants of health in patient care helps hospitals better understand the non-medical factors influencing patients' health outcomes. Objectives: The objective of this study was to evaluate the correlation between hospital characteristics, county determinants, and the systematic recording of health-related social needs among general and surgical acute care hospitals in the United States. It focused on the hospital's routine collection of data on patients' health-related social needs, such as transportation, housing, and food insecurity. Design: A cross-sectional retrospective study design was utilized. Methods: All hospitals that completed the American Hospital Association Annual survey (n = 2254) were included in the study. A series of multinomial logistic analyses were conducted. Results: The relative risk of hospitals routinely collecting health-related social needs data is 67% lower in for-profit hospitals and 90% higher in not-for-profit hospitals compared to government hospitals. Hospitals that are part of a system are 1.5 times more likely to routinely collect data on social needs. In addition, counties with higher household income have a statistically significant higher relative risk of hospitals collecting data on social needs, though the magnitude of the difference is small. The relative risk of hospitals collecting social needs data, but not routinely, is 2 times higher in teaching hospitals and 3 times higher among system hospitals. Conclusion: Our research strongly indicates that understanding and addressing these inherent hospital-related factors are essential for effectively integrating social determinants of health into routine healthcare data collection practices. Establishing more robust guidelines and standardization in these practices may enhance hospitals' ability to document and utilize health-related social needs information, ultimately driving improved patient outcomes and supporting more equitable care.

Indexed as

county determinantsdata collectionhealth-related social needshospital characteristicshospitals

Identifiers

PMID40452871
PMCPMC12126681

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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.