Evidence map›Paper›PMID 32505125›Full record

ArticlePediatric research2020

Child tobacco smoke exposure and healthcare resource utilization patterns.

Ashley L Merianos, Roman A Jandarov, Judith S Gordon, Michael S Lyons, E Melinda Mahabee-Gittens

Open access · greenAbstract read
In one paragraph

Article in Pediatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Ashley L MerianosSchool of Human Services, University of Cincinnati, PO Box 210068, Cincinnati, OH, 45221-0068, USA. ashley.merianos@uc.edu.
Roman A JandarovDepartment of Environmental and Public Health Sciences, Division of Biostatistics and Bioinformatics, College of Medicine, University of Cincinnati, 160 Panzeca Way, Cincinnati, OH, 45267-0056, USA.
Judith S GordonCollege of Nursing, The University of Arizona, 1305 N Martin Avenue, PO Box 210203, Tucson, AZ, 85721-0203, USA.
Michael S LyonsDepartment of Emergency Medicine, College of Medicine, University of Cincinnati, 231 Albert Sabin Way, ML 0769, Cincinnati, OH, 45267-0769, USA.
E Melinda Mahabee-GittensCincinnati Children's Hospital Medical Center, Division of Emergency Medicine, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, MLC 2008, Cincinnati, OH, 45229, USA.
University of Cincinnati · USSabin Vaccine Institute · USUniversity of Arizona · US

Funding

An Intervention to Reduce Second Hand Smoke Exposure among Pediatric Emergency Patients. R01HD083354 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI MAHABEE-GITTENS, E. MELINDA · 2015 to 2019
$2.9M
Reducing Secondhand Smoke Exposure Among Pediatric Patients in the Emergency Department SettingK01DA044313 · NIDA · UNIVERSITY OF CINCINNATI · PI MERIANOS, ASHLEY L · 2017 to 2021
$727k
Pediatric Emergency Department Decision Support System to Reduce Secondhand SmokeR21CA184337 · NCI · CINCINNATI CHILDRENS HOSP MED CTR · PI GORDON, JUDITH SARAH, MAHABEE-GITTENS, E. MELINDA · 2015 to 2016
$401k
NCI NIH HHS R21 CA184337NICHD NIH HHS R01 HD083354NIDA NIH HHS K01 DA044313
6 · The paper itself

Abstract

backgroundThe objective was to examine the relationship between healthcare resource utilization patterns in tobacco smoke-exposed children (TSE group) compared with unexposed children (non-TSE group).

methodsWe matched 380 children in the TSE group with 1140 children in the non-TSE group based on child age, sex, race, and ethnicity using propensity scores. Healthcare resource utilization variables included respiratory-related procedures, diagnostic testing, disposition, and medications. Logistic and linear regression models were built.

resultsChild mean age was 4.9 (SD = 0.1) years, 50.5% were female, 55.5% black, and 73.2% had public insurance/self-pay. Compared to the non-TSE group, the TSE group was at increased odds to have the following performed/obtained: nasal bulb suctioning, infectious diagnostic tests, laboratory tests, and radiologic tests. The TSE group was more likely to be admitted to the hospital, and more likely to receive steroids and intravenous fluids during their visit. Among asthmatics, the TSE group was more likely to receive steroids, albuterol, or ipratropium alone, or a combination of all three medications during their visit, and be prescribed albuterol alone or steroids and albuterol.

conclusionTobacco smoke-exposed children are more likely to have higher resource utilization patterns, highlighting the importance of screening and providing TSE prevention and remediation interventions. IMPACT: Tobacco smoke exposure may affect the healthcare resource utilization patterns of children. Evidence is lacking concerning these associations among the highly vulnerable pediatric emergency department patient population. This study examined the association between tobacco smoke exposure and healthcare resource utilization patterns among pediatric emergency department patients. Tobacco smoke exposure increased the risk of pediatric patients having respiratory-related procedures, respiratory-related and non-respiratory-related testing, medications administered during the pediatric emergency department visit, and medications prescribed for home administration. Tobacco smoke-exposed patients were more likely to be admitted to the hospital compared to unexposed patients.

Indexed as

Emergency Service, HospitalPatient Acceptance of Health CareAdolescentAsthmaChildChild, PreschoolCross-Sectional StudiesFamilyFemaleHumansInfantInfant, NewbornMaleMass ScreeningOxygenRandomized Controlled Trials as TopicOxygenTobacco Smoke Pollution

Identifiers

PMID32505125
PMCPMC7529841
OpenAlexW3034163161

What OpenQuestion holds

Textmetadata
LicenceTDM
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.