Evidence map›Paper›PMID 37715519›Full record

ArticleHealth services research2024

Use of and barriers to adopting standardized social risk screening tools in federally qualified health centers during the first year of the COVID-19 pandemic.

Nicole C Giron, Megan B Cole, Kevin H Nguyen

Abstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

3 authors.

Nicole C GironDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0002-0899-6311
Megan B ColeDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-8731-4210
Kevin H NguyenDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the national rate of social risk factor screening adoption among federally qualified health centers (FQHCs), examine organizational factors associated with social risk screening adoption, and identify barriers to utilizing a standardized screening tool in 2020. DATA SOURCE: 2020 Uniform Data System, a 100% sample of all US FQHCs (N = 1375). STUDY

designWe used multivariable linear probability models to assess the association between social risk screening adoption and key FQHC characteristics. We used descriptive statistics to describe variations in screening tool types and barriers to utilizing standardized tools. We thematically categorized open-ended responses about tools and barriers. DATA COLLECTION: None. PRINCIPAL

findingsIn 2020, 68.9% of FQHCs screened patients for any social risk factors. Characteristics associated with a greater likelihood of screening adoption included having high proportions of patients best served in a language other than English (18.8 percentage point [PP] increase, 95% CI: 6.0, 31.6) and being larger in size (10.3 PP increase, 95% CI: 0.7, 20.0). Having higher proportions of uninsured patients (14.2 PP decrease, 95% CI: -25.5, -0.3) and participating in Medicaid-managed care contracts (7.3 PP decrease, 95% CI: -14.2, -0.3) were associated with lower screening likelihood. Among screening FQHCs, the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE) was the most common tool (47.1%). Among non-screening FQHCs, common barriers to using a standardized tool included lack of staff training to discuss social issues (25.2%), inability to include screening in patient intake (21.7%), and lack of funding for addressing social needs (19.2%).

conclusionsThough most FQHCs screened for social risk factors in 2020, various barriers have prevented nearly 1 in 3 FQHCs from adopting a screening tool. Policies that provide FQHCs with resources to support training and workflow changes may increase screening uptake and facilitate engagement with other sectors.

Indexed as

COVID-19PandemicsHumansMedicaidMedically UninsuredPolicyUnited Statescross-sector collaborationfederally qualified health centerssafety netsocial determinants of healthsocial risk factor screening

Identifiers

PMID37715519
PMCPMC10796290

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.