Evidence map›Paper›PMID 37327708›Full record

ArticleThe American journal of emergency medicine2023

Predictors of intent to utilize the emergency department among a free clinic's patients.

Oliver T Nguyen, SriVarsha Katoju, Erick E Pons, Kartik Motwani, Gabriel M Daniels, Austin C Reed, Joanne Alfred, David B Feller, Young-Rock Hong

Open access · greenAbstract read
In one paragraph

Article in The American journal of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 5 institutions in 1 country.

Oliver T NguyenDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA; Department of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA. Electronic address: Oliver.Nguyen@moffitt.org.
SriVarsha KatojuDepartment of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA.
Erick E PonsDepartment of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA; College of Medicine, Ohio State University, Columbus, OH, USA.
Kartik MotwaniDepartment of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA.
Gabriel M DanielsDepartment of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA; Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA.
Austin C ReedDepartment of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA; Department of Emergency Medicine, University of Florida, Gainesville, FL, USA.
Joanne AlfredDepartment of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA; Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
David B FellerDepartment of Community Health & Family Medicine, University of Florida, Gainesville, FL, USA.
Young-Rock HongDepartment of Health Services Research, Management, and Policy, Gainesville, FL, USA.
University of Florida Health · USMoffitt Cancer Center · USThe Ohio State University · USUniversity of Florida · USUniversity of North Carolina at Chapel Hill · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

objectivePrimary care use helps reduce utilization of more expensive modes of care, such as the emergency department (ED). Although most studies have investigated this association among patients with insurance, few have done so for patients without insurance. We used data from a free clinic network to assess the association between free clinic use and intent to use the ED.

methodsData were collected from a free clinic network's electronic health records on adult patients from January 2015 to February 2020. Our outcome was whether patients reported themselves as 'very likely' to visit the ED if the free clinics were unavailable. The independent variable was frequency of free clinic use. Using a multivariable logistic regression model, we controlled for other factors, such as patient demographic factors, social determinants of health, health status, and year effect.

resultsOur sample included 5008 visits. When controlling for other factors, higher odds of expressing ED interest were observed for patients who are non-Hispanic Black, older, not married, lived with others, had lower education, were homeless, had personal transportation, lived in rural areas, and had a higher comorbidity burden. In sensitivity analyses, higher odds were observed for dental, gastrointestinal, genitourinary, musculoskeletal, or respiratory conditions.

conclusionsIn the free clinic space, several patient demographic, social determinants of health and medical conditions were independently associated with greater odds of reporting intent on visiting the ED. Additional interventions that improve access and use of free clinics (e.g., dental) may keep patients without insurance from the ED.

Indexed as

Ambulatory Care FacilitiesIll-Housed PersonsAdultEmergency Service, HospitalHumansSafety-net ProvidersEmergency departmentHealthcare utilizationSafety-net clinic

Identifiers

PMID37327708
PMCPMC10527010
OpenAlexW4379883356

What OpenQuestion holds

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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.