Evidence map›Paper›PMID 41169628›Full record

ArticleLearning health systems2025

A partner-informed approach to prioritizing social risks for research in a learning health system.

Mayuree Rao, Cindie Slightam, Alicia J Cohen, Jamie S Marsal, Camila Chaudhary, Karin Nelson, Matthew L Maciejewski, Josephine C Jacobs, Liberty Greene, Dan V Blalock and 1 more

Abstract read
In one paragraph

Article in Learning health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Mayuree RaoSeattle-Denver Center of Innovation for Veteran-Centered and Value Driven Care VA Puget Sound Health Care System Seattle Washington USA.ORCID https://orcid.org/0000-0002-0874-8238
Cindie SlightamCenter for Innovation to Implementation Veterans Affairs Palo Alto Health Care System Menlo Park California USA.
Alicia J CohenCenter of Innovation in Transformative Health Systems Research to Improve Veteran Equity and Independence VA Providence Healthcare System Providence Rhode Island USA.
Jamie S MarsalCenter for Innovation to Implementation Veterans Affairs Palo Alto Health Care System Menlo Park California USA.
Camila ChaudharyCenter for Innovation to Implementation Veterans Affairs Palo Alto Health Care System Menlo Park California USA.
Karin NelsonSeattle-Denver Center of Innovation for Veteran-Centered and Value Driven Care VA Puget Sound Health Care System Seattle Washington USA.
Matthew L MaciejewskiCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT) Durham Veterans Affairs Health Care System Durham North Carolina USA.
Josephine C JacobsHealth Economics Resource Center VA Palo Alto Health Care System Menlo Park California USA.ORCID https://orcid.org/0000-0003-0366-2985
Liberty GreeneCenter for Innovation to Implementation Veterans Affairs Palo Alto Health Care System Menlo Park California USA.
Dan V BlalockCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT) Durham Veterans Affairs Health Care System Durham North Carolina USA.
Donna M ZulmanCenter for Innovation to Implementation Veterans Affairs Palo Alto Health Care System Menlo Park California USA.ORCID https://orcid.org/0000-0001-8904-2810

Funding

HSRD VA I01 HX003269HSRD VA IK2 HX002860HSRD VA IK2 HX003013HSRD VA IK2 HX003085
6 · The paper itself

Abstract

Objective: To prioritize social risks (individual-level social and economic conditions) that may influence a person's health for inclusion in a national survey of Veterans Affairs (VA) healthcare system patients. Data Sources and Study Setting: Quantitative ratings of candidate survey measures were obtained from a national Advisory Group of researchers, clinicians, Veterans, and VA operations leaders; qualitative input was collected from the Advisory Group and Veterans. Study Design: We solicited input on social risk prioritization across four phases: (1) candidate social risks were identified through a literature review and existing screening tools, (2) Advisory Group members ( Data Collection/Extraction Methods: Selection of social risks for survey inclusion was based on an a priori definition of a social risk and relevance to Veterans (phase 1), quantitative and qualitative input from the Advisory Group (phases 2 and 3), and qualitative Veteran input (phase 4). Principal Findings: An initial list of 37 social risks was pared down to 18 for inclusion in a national survey: financial strain, health care/medicine access and affordability, food insecurity, homelessness/housing insecurity, transportation barriers, digital access/literacy, utilities insecurity, social support, caregiver responsibilities, discrimination experiences, interpersonal violence, education, employment, health literacy, legal problems or exposure to the justice system, race/ethnicity, gender identity, and sexual orientation. Conclusions: Our partner-informed approach combining quantitative and qualitative input offers a road map for other learning health systems seeking to prioritize social risks for evidence generation.

Indexed as

consensusresearch prioritiessocial determinants of healthstakeholder participationVeterans

Identifiers

PMID41169628
PMCPMC12569458

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.