Evidence map›Paper›PMID 30519630›Full record

ArticleAIMS medical science2017

Factors Associated with Asthma ED Visit Rates among Medicaid-enrolled Children: A Structural Equation Modeling Approach.

Luceta McRoy, George Rust, Junjun Xu

Open access · diamondAbstract read
In one paragraph

Article in AIMS medical science, 2017. 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
1.0field-weighted citation impact, top 18% 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, 2 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

3 authors at 2 institutions in 1 country.

Luceta McRoySouthern Adventist University, Department of Business, Collegedale, TN 37363.
George RustCenter for Medicine and Public Health, Florida State University College of Medicine, 1115 W. Call Street, Tallahassee, FL 32304.
Junjun XuNational Center for Primary Care, Morehouse School of Medicine Atlanta, GA 30310.
Southern Adventist University · USFlorida State University · US

Funding

Research Desogn and Biostatistics CoreU54MD007588 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI MAYBERRY, ROBERT M · 2012 to 2018
$24.8M
TCC for Health Disparties: Informing & Influencing Health Policy and PracticeU54MD008173 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI SATCHER, DAVID · 2012 to 2016
$13.4M
AHRQ HHS K18 HS022444NIMHD NIH HHS U54 MD007588NIMHD NIH HHS U54 MD008173
6 · The paper itself

Abstract

backgroundAsthma is one of the leading causes of emergency department visits and school absenteeism among school-aged children in the United States, but there is significant local-area variation in emergency department visit rates, as well as significant differences across racial-ethnic groups. ANALYSIS: We first calculated emergency department (ED) visit rates among Medicaid-enrolled children age 5-12 with asthma using a multi-state dataset. We then performed exploratory factor analysis using over 226 variables to assess whether they clustered around three county-level conceptual factors (socioeconomic status, healthcare capacity, and air quality) thought to be associated with variation in asthma ED visit rates. Measured variables (including ED visit rate as the outcome of interest) were then standardized and tested in a simple conceptual model through confirmatory factor analysis.

resultsCounty-level (contextual) variables did cluster around factors declared

conclusionConfirmatory factor analysis offers an approach for quantitatively testing conceptual models of local-area variation and racial disparities in asthma-related emergency department use.

Indexed as

Asthmaconceptual modelemergency departmentLocal-area variationMedicaidsocial determinantsstructural equation modeling

Identifiers

PMID30519630
PMCPMC6277032
OpenAlexW2590304984

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.