Evidence map›Paper›PMID 39504474›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

The role of routine and structured social needs data collection in improving care in US hospitals.

Chelsea Richwine, Vaishali Patel, Jordan Everson, Bradley Iott

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Interoperability of health-related social needs data at US hospitals.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  5. Article
  6. Advancing a learning health system through biomedical and health informatics.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  7. 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

4 authors.

Chelsea RichwineOffice of the Assistant Secretary for Technology Policy, US Department of Health and Human Services, Washington, DC 20201, United States.ORCID 0000-0001-9558-3437
Vaishali PatelOffice of the Assistant Secretary for Technology Policy, US Department of Health and Human Services, Washington, DC 20201, United States.
Jordan EversonOffice of the Assistant Secretary for Technology Policy, US Department of Health and Human Services, Washington, DC 20201, United States.ORCID 0000-0001-5355-6043
Bradley IottDivision of General Internal Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, United States.ORCID 0000-0001-9784-0521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo understand how health-related social needs (HRSN) data are collected at US hospitals and implications for use. MATERIALS AND

methodsUsing 2023 nationally representative survey data on US hospitals (N = 2775), we described hospitals' routine and structured collection and use of HRSN data and examined the relationship between methods of data collection and specific uses. Multivariate logistic regression was used to identify characteristics associated with data collection and use and understand how methods of data collection relate to use.

resultsIn 2023, 88% of hospitals collected HRSN data (64% routinely, 72% structured). While hospitals commonly used data for internal purposes (eg, discharge planning, 79%), those that collected data routinely and in a structured format (58%) used data for purposes involving coordination or exchange with other organizations (eg, making referrals, 74%) at higher rates than hospitals that collected data but not routinely or in a non-structured format (eg, 93% vs 67% for referrals, P< .05). In multivariate regression, routine and structured data collection was positively associated with all uses of data examined. Hospital location, ownership, system-affiliation, value-based care participation, and critical access designation were associated with HRSN data collection, but only system-affiliation was consistently (positively) associated with use. DISCUSSION: While most hospitals screen for social needs, fewer collect data routinely and in a structured format that would facilitate downstream use. Routine and structured data collection was associated with greater use, particularly for secondary purposes.

conclusionRoutine and structured screening may result in more actionable data that facilitates use for various purposes that support patient care and improve community and population health, indicating the importance of continuing efforts to increase routine screening and standardize HRSN data collection.

Indexed as

Data CollectionHospitalsHumansLogistic ModelsQuality ImprovementUnited Stateselectronic health recordshealth information exchangehealth-related social needsscreeningsocial determinants of health

Identifiers

PMID39504474
PMCPMC11648711

What OpenQuestion holds

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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.