Evidence map›Paper›PMID 35459451›Full record

ArticleAmerican journal of preventive medicine2022

Screening for Social Risk at Federally Qualified Health Centers: A National Study.

Megan B Cole, Kevin H Nguyen, Elena Byhoff, Genevra F Murray

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 44 citations in OpenAlex.

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  17. Association of Major Adverse Financial Events and Later-Stage Cancer Diagnosis in the United States.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
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  19. Exploring the Association Between Trauma, Instability, and Youth Cardiometabolic Health Outcomes Over Three Years.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
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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

4 authors at 4 institutions in 1 country.

Megan B ColeDepartment of Health Law, Policy, & Management, Boston University School of Public Health, Boston, Massachusetts. Electronic address: mbcole@bu.edu.
Kevin H NguyenDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island.
Elena ByhoffDepartment of Medicine, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts.
Genevra F MurrayDivision of General Internal Medicine, Boston Medical Center, Boston, Massachusetts.
Boston Medical Center · USBoston University · USBrown University · USTufts University · US

Funding

Institutional Career DevelopmentKL2TR001411 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MORONE, NATALIA E. · 2015 to 2024
$5.9M
Increasing SNAP enrollment in a diverse Latinx communityK23MD015267 · NIMHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BYHOFF, ELENA · 2020 to 2024
$817k
AHRQ HHS T32 HS022242NCATS NIH HHS KL2 TR001411NIMHD NIH HHS K23 MD015267
6 · The paper itself

Abstract

introductionFederally Qualified Health Centers serve 29.8 million low-income patients across the U.S., many of whom have unaddressed social risks. In 2019, for the first time, data on social risk screening capabilities were collected from every U.S. Federally Qualified Health Center. The objectives of this study were to describe the national rates of social risk screening capabilities across Federally Qualified Health Centers, identify organizational predictors of screening, and assess between-state heterogeneity.

methodsUsing a 100% sample of U.S. Federally Qualified Health Centers (N=1,384, representing 29.8 million patients) from the 2019 Uniform Data System, the primary outcome was whether a Federally Qualified Health Center collected data on patients' social risk factors (yes/no). Summary statistics on the rates of social risk screening capabilities were generated in aggregate and by state. Linear probability models were then used to estimate the relationship between the probability of social risk screening and 7 key Federally Qualified Health Center characteristics (e.g., Federally Qualified Health Center size, Medicaid MCO contract, Medicaid accountable care organization presence). Data were analyzed in 2020‒2021.

resultsMost (71%) Federally Qualified Health Centers collected social risk data, with a between-state variation. The most common screener was the Protocol for Responding to and Assessing Patients' Assets Risks and Experiences (43% of Federally Qualified Health Centers that screened), whereas 22% collected social risk data using a nonstandardized screener. After adjusting for other characteristics, Federally Qualified Health Centers with social risk screening capabilities served more total patients, were more likely to be located in a state with a Medicaid accountable care organization, and were less likely to have an MCO contract.

conclusionsThere has been widespread adoption of social risk screening tools across U.S. Federally Qualified Health Centers, but between-state disparities exist. Targeting social risk screening resources to smaller Federally Qualified Health Centers may increase the adoption of screening tools.

Indexed as

Accountable Care OrganizationsMass ScreeningHumansMedicaidUnited States

Identifiers

PMID35459451
PMCPMC9035213
OpenAlexW4210845093

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.