Evidence map›Paper›PMID 30858333›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2019

Parental and clinician agreement of illness severity in children with RTIs: secondary analysis of data from a prospective cohort study.

Esther T van der Werf, Niamh M Redmond, Sophie Turnbull, Hannah Thornton, Matthew Thompson, Paul Little, Tim J Peters, Peter S Blair, Alastair D Hay

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Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Esther T van der WerfCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; School of Medicine, Taylor's University, Selangor DE, Malaysia.
Niamh M RedmondCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol; National Institute for Health Research Collaborations for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Sophie TurnbullCentre for Academic Primary Care, Population Health Sciences.
Hannah ThorntonCentre for Academic Primary Care, Population Health Sciences.
Matthew ThompsonDepartment of Family Medicine, University of Washington, Seattle, WA, US.
Paul LittlePrimary Care and Population Sciences Unit, University of Southampton, Southampton, UK.
Tim J PetersPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Peter S BlairPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Alastair D HayCentre for Academic Primary Care, Population Health Sciences.

Funding

Department of Health RP-PG-0608-10018
6 · The paper itself

Abstract

backgroundSeverity assessments of respiratory tract infection (RTI) in children are known to differ between parents and clinicians, but determinants of perceived severity are unknown.

aimTo investigate the (dis)agreement between, and compare the determinants of, parent and clinician severity scores. DESIGN AND

settingSecondary analysis of data from a prospective cohort study of 8394 children presenting to primary care with acute (≤28 days) cough and RTI.

methodData on sociodemographic factors, parent-reported symptoms, clinician-reported findings, and severity assessments were used. Kappa (κ)-statistics were used to investigate (dis) agreement, whereas multivariable logistic regression was used to identify the factors associated with illness severity.

resultsParents reported higher illness severity (mean 5.2 [standard deviation (SD) 1.8], median 5 [interquartile range (IQR) 4-7]), than clinicians (mean 3.1 [SD 1.7], median 3 [IQR 2-4],

conclusionClinicians and parents use different factors and make different judgements about the severity of children's RTI. Improved understanding of the factors that concern parents could improve parent-clinician communication and consultation outcomes.

Indexed as

ParentsPhysicians, Primary CareProfessional-Family RelationsRespiratory Tract InfectionsSymptom AssessmentAdultAttitude of Health PersonnelAttitude to HealthChildClinical Decision-MakingCohort StudiesFemaleHumansMaleProspective StudiesSeverity of Illness Indexfeverillness severity assessmentprimary health carerespiratory tract infections

Identifiers

PMID30858333
PMCPMC6428461

What OpenQuestion holds

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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.