Evidence map›Paper›PMID 40329034›Full record

ArticleJournal of general internal medicine2025

Predictive Value of a Financial Strain Question to Pre-screen Individuals for Social Risks.

Emma L Tucher, Nathan Tran, Laura M Gottlieb, Richard W Grant, Stephanie M Franklin, Jenna Donovan, Matthew S Pantell

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Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Social determinants of health and hospitalization risk in heart failure: A Retrospective analysis.American heart journal plus : cardiology research and practice · 2026
    Article
  2. 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

7 authors.

Emma L TucherDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA. emma.l.tucher@kp.org.ORCID http://orcid.org/0000-0002-4690-3913
Nathan TranDivision of Pediatric Hospital Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Laura M GottliebDepartment of Family and Community Medicine, University of California, San Francisco, USA.
Richard W GrantDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Stephanie M FranklinHumana Inc., Louisville, KY, USA.
Jenna DonovanOCHIN Inc., Portland, OR, USA.
Matthew S PantellDivision of Pediatric Hospital Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.

Funding

AHRQ HHS 1K08HS028473-01A1Division of Loan Repayment L40HD106442
6 · The paper itself

Abstract

backgroundSocial risks are associated with poor health outcomes and increased costs. Therefore, health systems and policymakers increasingly emphasize social risk screening and interventions. However, universal screening implementation remains challenging due to clinician burnout, lack of evidence, and financial trade-offs. One solution to decrease implementation burden is a two-step social risk screening system where individuals who screen positive for financial strain are then surveyed for other social risks.

objectiveWe analyzed the predictive value of a financial strain screener as a pre-screener for food insecurity, housing instability, and/or transportation barriers.

designLongitudinal study evaluating the proportion of participants endorsing financial strain and other social risks. Data obtained from OCHIN (2017-2023), Humana (2019-2020), and Kaiser Permanente (KP) (2020). We assessed the predictive value (e.g., sensitivity, specificity, positive and negative predictive value, and area under the receiver operating characteristic curve) of using financial strain as a pre-screener for the other social risks.

participantsThe sample included n = 252,845 adults (≥18 years old) with complete data on all four social risks (63.7% from OCHIN, 32.2% from Humana, 4.1% from KP). The response rate varied from 18.7% (Humana) to 23.0% (KP); the OCHIN sample included 21.6% of eligible encounters. MAIN MEASURES: Data related to financial strain, food insecurity, housing instability, and transportation barriers were derived from survey responses and visit-level encounter data. KEY

resultsThe OCHIN sample included 38%, Humana 41%, and KP 28% with financial strain. Using the financial strain item in an initial pre-screening would fail to identify 12.3 to 24.2% of individuals who reported food insecurity, 13.2 to 24.7% who reported housing instability, 17.0 to 32.6% who reported transportation barriers, and 4.1 to 5.7% who reported all three risks.

conclusionsA financial strain pre-screener could lead health systems to miss >10% of people who report food insecurity, housing instability, and/or transportation barriers.

Indexed as

financial strainmeasurementscreeningsocial risks

Identifiers

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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.