Evidence map›Paper›PMID 39331394›Full record

ArticleJAMA network open2024

Social Risks and Health Care Use in Medically Complex Patients.

Emma L Tucher, Allison L Steele, Connie S Uratsu, Jodi K McCloskey, Richard W Grant

Abstract read
In one paragraph

Article in JAMA network open, 2024. 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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Emma L TucherDivision of Research, Kaiser Permanente Northern California, Oakland.
Allison L SteeleDivision of Research, Kaiser Permanente Northern California, Oakland.
Connie S UratsuDivision of Research, Kaiser Permanente Northern California, Oakland.
Jodi K McCloskeyDivision of Research, Kaiser Permanente Northern California, Oakland.
Richard W GrantDivision of Research, Kaiser Permanente Northern California, Oakland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Integrated health care systems have initiated major investments to identify and address social risks, particularly for patients with multiple medical conditions. Objective: To evaluate the association of social risks with health care use among patients with complex multimorbidity. Design, Setting, and Participants: This longitudinal cohort study assessed Kaiser Permanente Northern California (KPNC) patients with (1) moderate medical complexity (defined by high comorbidity score, high risk of hospitalization, and/or prior emergency department [ED] admissions) and (2) high medical complexity (eg, meeting additional criteria, such as ≥7 medications and laboratory evidence of poor disease control). Exposure: Social risks (eg, requiring medical financial assistance and self-reported social barriers to care). Main Outcomes and Measures: Inpatient and outpatient health care use during 12 months of follow-up (January 15, 2023, to January 14, 2024). Results: The sample included 97 252 KPNC patients (mean [SD] age, 69.5 [16] years; 52.1% female; 10.6% Asian, 11.1% Black, 18.3% Hispanic, 54.6% White, and 5.5% other race or ethnicity [eg, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, multiracial, or unknown race]; and 8.8% insured by Medicaid), including 27 827 with moderate medical complexity (5074 [18.2%] with social risks) and 69 425 with high medical complexity (17 343 [25.0%] with social risks). In fully adjusted models, for moderate medical complexity, social risks were associated with higher odds of inpatient admissions (odds ratio [OR], 1.2; 95% CI, 1.1-1.4), ED visits (OR, 1.2; 95% CI, 1.1-1.3), and mental health visits (OR, 1.2; 95% CI, 1.1-1.3) vs individuals without social risks. Among individuals with high medical complexity, social risks were associated with higher odds of inpatient admissions (OR, 1.2; 95% CI, 1.1-1.2), ED visits (OR, 1.2; 95% CI, 1.1-1.2), and 30-day readmissions (OR, 1.2; 95% CI, 1.1-1.3) and higher odds of mental health visits (OR, 1.3; 95% CI, 1.2-1.3) vs individuals without social risks. Conclusions and relevance: In this cohort study of individuals with medical complexity, coexisting social risks were associated with substantial downstream health care use. Efforts to reduce use in individuals with complex medical comorbidity could include concurrent efforts to identify and reduce social risks.

Indexed as

Patient Acceptance of Health CareAgedAged, 80 and overCaliforniaFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedMultimorbidityRisk Factors

Identifiers

PMID39331394
PMCPMC11437378

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.