Evidence map›Paper›PMID 31451583›Full record

ArticleHospital pediatrics2019

Electronic Health Record Classification of Tobacco Smoke Exposure and Cotinine Levels in Hospitalized Pediatric Patients.

E Melinda Mahabee-Gittens, Ashley L Merianos, Judith S Gordon, Lara Stone, Olga Semenova, Georg E Matt

Open access · greenAbstract read
In one paragraph

Article in Hospital pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. The Associations ofInternational journal of environmental research and public health · 2023
    Article
  4. Article
  5. Comparison of Levels of Three Tobacco Smoke Exposure Biomarkers in Children of Smokers.International journal of environmental research and public health · 2021
    Article
  6. Assessment of Severe COVID-19 Outcomes Using Measures of Smoking Status and Smoking Intensity.International journal of environmental research and public health · 2021
    Article
  7. Article
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 4 institutions in 1 country.

E Melinda Mahabee-GittensDivision of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; melinda.mahabee-gittens@cchmc.org.
Ashley L MerianosSchool of Human Services, University of Cincinnati, Cincinnati, Ohio.
Judith S GordonCollege of Nursing, The University of Arizona, Tucson, Arizona; and.
Lara StoneDivision of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Olga SemenovaDivision of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Georg E MattDepartment of Psychology, San Diego State University, San Diego, California.
Cincinnati Children's Hospital Medical Center · USSan Diego State University · USUniversity of Arizona · USUniversity of Cincinnati · US

Funding

Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
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
NCATS NIH HHS UL1 TR000077NCI NIH HHS R21 CA184337
6 · The paper itself

Abstract

objectivesDocumentation of children's tobacco smoke exposure (TSE) in the electronic health record (EHR) can have important implications for clinical care. However, it may not be accurate if it is not based on biochemical assessment, the most reliable method of verifying TSE. Our objectives were to compare the accuracy of EHR classification of TSE with cotinine verification and to explore parent and child variables associated with biochemically verified TSE.

methodsParticipants were 171 hospitalized pediatric patients (ages 0-17 years; mean age 5.1 [SD 3.7] years) who had EHR documentation of TSE and measured salivary cotinine. Children with cotinine levels >1 ng/mL were classified as having biochemical verification of TSE. Parents reported sociodemographic characteristics, and children's EHRs were abstracted for TSE status, past medical history, and diagnoses. We conducted χ

resultsOverall, 71% (121 of 171) of EHR classifications were correct on the basis of cotinine levels. Specificity analyses showed that 77% (53 of 69) were correctly identified as exposed to tobacco smoke. Sensitivity analyses showed that 67% (68 of 102) were correctly identified as unexposed. The negative predictive value was 0.61 (53 of 87); 39% (34 of 87) were misclassified as unexposed. The positive predictive value was 0.81 (68 of 84); 19% (16 of 84) were misclassified as exposed.

conclusionsAlmost 40% of children were misclassified in the EHR as unexposed to tobacco smoke. Biochemical verification should be used as part of universal TSE screening during pediatric hospitalizations.

Indexed as

Electronic Health RecordsAdolescentChildChild, PreschoolCotinineFemaleHumansInfantInfant, NewbornInpatientsMaleSalivaTobacco Smoke PollutionCotinineTobacco Smoke Pollution

Identifiers

PMID31451583
PMCPMC6711245
OpenAlexW2971499867

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.