Evidence map›Paper›PMID 36849484›Full record

ArticleAnnals of family medicine2023

Examining How Social Risk Factors Are Integrated Into Clinical Settings Using Existing Data: A Scoping Review.

Wivine M Ngongo, Jonna Peterson, Dawid Lipiszko, Lauren A Gard, Katherine M Wright, Aaron S Parzuchowski, Paul A Ravenna, Andrew J Cooper, Stephen D Persell, Matthew J O'Brien and 1 more

Open access · diamondAbstract readScoping Review
In one paragraph

Article in Annals of family medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Wivine M NgongoDivision of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Jonna PetersonGalter Health Sciences Library & Learning Center, Northwestern University, Chicago, Illinois.
Dawid LipiszkoDivision of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Lauren A GardDivision of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Katherine M WrightDepartment of Family and Community Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Aaron S ParzuchowskiMcGaw Medical Center of Northwestern University, Chicago, Illinois.
Paul A RavennaDepartment of Family and Community Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Andrew J CooperDivision of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Stephen D PersellDivision of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Matthew J O'BrienDivision of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Mita Sanghavi GoelDivision of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois m-goel@northwestern.edu.
Northwestern University · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MILDA Renne SAUNDERS · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

purposeIntegrating social care into clinical care requires substantial resources. Use of existing data through a geographic information system (GIS) has the potential to support efficient and effective integration of social care into clinical settings. We conducted a scoping literature review characterizing its use in primary care settings to identify and address social risk factors.

methodsIn December 2018, we searched 2 databases and extracted structured data for eligible articles that (1) described the use of GIS in clinical settings to identify and/or intervene on social risks, (2) were published between December 2013 and December 2018, and (3) were based in the United States. Additional studies were identified by examining references.

resultsOf the 5,574 articles included for review, 18 met study eligibility criteria: 14 (78%) were descriptive studies, 3 (17%) tested an intervention, and 1 (6%) was a theoretical report. All studies used GIS to identify social risks (increase awareness); 3 studies (17%) described interventions to address social risks, primarily by identifying relevant community resources and aligning clinical services to patients' needs.

conclusionsMost studies describe associations between GIS and population health outcomes; however, there is a paucity of literature regarding GIS use to identify and address social risk factors in clinical settings. GIS technology may assist health systems seeking to address population health outcomes through alignment and advocacy; its current application in clinical care delivery is infrequent and largely limited to referring patients to local community resources.

Indexed as

Social SupportTechnologyDatabases, FactualHumansdisparitiesgeographic information systemsgeography, medicalgeospatial datahealth information technologyneeds assessmentpopulation healthsocial determinants of healthsocial risk factorsvulnerable populations

Identifiers

PMID36849484
PMCPMC9970670
OpenAlexW4322489388

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.