Evidence map›Paper›PMID 33011491›Full record

ArticleHealth & place2020

A Bayesian spatio-temporal analysis of neighborhood pediatric asthma emergency department visit disparities.

Matthew Bozigar, Andrew B Lawson, John L Pearce, Kathryn King, Erik R Svendsen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health & place, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Matthew BozigarDivision of Epidemiology, Department of Public Health Sciences, College of Graduate Studies, Medical University of South Carolina, Charleston, SC, United States. Electronic address: bozigar@musc.edu.
Andrew B LawsonDivision of Biostatistics, Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States. Electronic address: lawsonab@musc.edu.
John L PearceDivision of Environmental Health, Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States. Electronic address: pearcejo@musc.edu.
Kathryn KingDepartment of Pediatrics, College of Medicine, Medical University of South Carolina, Charleston, SC, United States; School-Based Health, Center for Telehealth, Medical University of South Carolina, Charleston, SC, United States. Electronic address: kingkl@musc.edu.
Erik R SvendsenDivision of Environmental Health, Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States. Electronic address: svendsee@musc.edu.

Funding

Using a Spatio-Temporal Framework to Understand Disparities in Pediatric Asthma Emergency Department Visits: a Case Study in South CarolinaF31HL142124 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BOZIGAR, MATTHEW · 2018 to 2019
$90k
NHLBI NIH HHS F31 HL142124
6 · The paper itself

Abstract

Asthma disparities have complex, neighborhood-level drivers that are not well understood. Consequently, identifying particular contextual factors that contribute to disparities is a public health goal. We study pediatric asthma emergency department (ED) visit disparities and neighborhood factors associated with them in South Carolina (SC) census tracts from 1999 to 2015. Leveraging a Bayesian framework, we identify risk clusters, spatially-varying relationships, and risk percentile-specific associations. Clusters of high risk occur in both rural and urban census tracts with high probability, with neighborhood-specific associations suggesting unique risk factors for each locale. Bayesian methods can help clarify the neighborhood drivers of health disparities.

Indexed as

AsthmaResidence CharacteristicsBayes TheoremChildEmergency Service, HospitalHumansSpatio-Temporal AnalysisBayesian hierarchical modelingCluster analysisEmergency department/room visitsHealth disparitiesPediatric asthmaQuantile regressionSEA-AIR StudySpatially varying coefficients

Identifiers

PMID33011491
PMCPMC8591955

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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.