Evidence map›Paper›PMID 35171031›Full record

ArticlePopulation health management2022

Association of Unmet Social Needs with Chronic Illness: A Cross-Sectional Study.

Elena Byhoff, Rubeen Guardado, Nan Xiao, Keith Nokes, Arvin Garg, Yorghos Tripodis

Open access · greenAbstract read
In one paragraph

Article in Population health management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  6. Food Insecurity and Social Policy: A Comparative Analysis of Welfare State Regimes in 19 Countries.International journal of social determinants of health and health services · 2024
    Article
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  8. Review
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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

6 authors at 5 institutions in 1 country.

Elena ByhoffDepartment of Medicine, Tufts Medical Center, Boston, Massachusetts, USA.ORCID 0000-0003-3438-2695
Rubeen GuardadoDepartment of Medicine, Tufts Medical Center, Boston, Massachusetts, USA.
Nan XiaoGreater Lawrence Family Health Center, Lawrence, Massachusetts, USA.
Keith NokesGreater Lawrence Family Health Center, Lawrence, Massachusetts, USA.
Arvin GargDepartment of Pediatrics, University of Massachusetts Medical Center, Worcester, Massachusetts, USA.
Yorghos TripodisDepartment of Biostatistics, School of Public Health, Boston University, Boston, Massachusetts, USA.
Tufts University · USBoston University · USGreater Lawrence Family Health Center · USTufts Medical Center · USUniversity of Massachusetts Chan Medical School · US

Funding

Increasing SNAP enrollment in a diverse Latinx communityK23MD015267 · NIMHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BYHOFF, ELENA · 2020 to 2024
$817k
NIMHD NIH HHS K23 MD015267
6 · The paper itself

Abstract

Screening for social needs during routine medical visits is increasingly common. To date, there are limited data on which social needs are most predictive of health outcomes. The aim of this study is to build a predictive model from integrated social needs screening and health data to identify individual or clusters of social needs that are predictive of chronic illnesses. Using the electronic medical record data from a Federally Qualified Health Center collected from January 2016 to December 2020, demographic, diagnosis, and social needs screening data were used to look at adjusted and unadjusted associations of individual unmet social needs with chronic illnesses (

Indexed as

Diabetes MellitusMass ScreeningAdultChronic DiseaseCross-Sectional StudiesHumansObesitycommunity health centersLASSOsocial determinants of health

Identifiers

PMID35171031
PMCPMC9058872
OpenAlexW4213361310

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.