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RESEARCH PRODUCT
Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy
Nosetti LPaglietti MgBrunetti LMasini LLa Grutta SCilluffo GFerrante GZaffanello MVerrillo EPavone MNiespolo AcBroggi GCutrera RDiletta ValentiniDominga CardaropoliCarolina De ChiaraValentina TranchinoSalvatore IasevoliAngela SalvatoreAmelia BalzariniValeria Spica RussottoStefania PorcuPaolo BarracchiniSinibaldo IemboliGiuseppe Rossellisubject
QuestionnairesEuropean PeopleHealth Knowledge Attitudes PracticeMedical DoctorsCross-sectional studyHealth Care ProvidersPilot ProjectsPersonal SatisfactionPractice PatternsLogistic regressionPediatricsFamilieslatent class analysis sleep disorder children paediatricians0302 clinical medicineSleep-Disordered BreathingSurveys and QuestionnairesMedicine and Health SciencesEthnicitiesMedical PersonnelPractice Patterns Physicians'ChildTransients and MigrantsSleep disorderPracticeMultidisciplinaryHealth KnowledgeQRArmeniaMiddle AgedHospitals PediatricLatent class modelItalian PeopleProfessionsHealth Education and AwarenessNeurologyItalyResearch DesignRespondentPractice Guidelines as TopicPediatric OtolaryngologyMedicineJob satisfactionHealth educationFemaleSexual HealthResearch ArticleAdultmedicine.medical_specialtyAdolescentScienceeducationMothersResearch and Analysis Methods03 medical and health sciencesYoung AdultSleep Apnea Syndromeschildren030225 pediatricsPhysiciansmedicinelatent class analysisHumansPediatriciansDemographySurvey ResearchPhysicians'business.industrymedicine.diseaseHealth SurveysHealth CareCross-Sectional StudiesOtorhinolaryngologyOtorhinolaryngologyAge GroupsFamily medicineAttitudesPeople and PlacesAdolescent; Adult; Armenia; Demography; Female; Humans; Middle Aged; Mothers; Sexual Health; Transients and Migrants; Young Adult; Health SurveysPopulation GroupingsbusinessSleep Disorders030217 neurology & neurosurgerypaediatriciansdescription
Aim To identify subgroups regarding paediatricians’ awareness, attitude, practice and satisfaction about management of Sleep-Disordered Breathing (SDB) in Italy using Latent Class Analysis (LCA). Methods A cross-sectional study was conducted on a large sample of Italian paediatricians. Using a self-administered questionnaire, the study collected information on 420 Paediatric Hospital Paediatricians (PHPs) and 594 Family Care Paediatricians (FCPs). LCA was used to discover underlying response patterns, thus allowing identification of respondent groups with similar awareness, attitude, practice and satisfaction. A logistic regression model was used to investigate which independent variables influenced latent class membership. Analyses were performed using R 3.5.2 software. A p-value<0.05 was considered statistically significant. Results Two classes were identified: Class 1 (n = 368, 36.29%) “Untrained and poorly satisfied” and Class 2 (n = 646, 63.71%) “Trained and satisfied.” Involving paediatric pneumologists or otorhinolaryngologists in clinical practice was associated with an increased probability of Class 2 membership (OR = 5.88, 95%CI [2.94–13.19]; OR = 15.95, 95% CI [10.92–23.81] respectively). Examining more than 20 children with SDB during the last month decreased the probability of Class 2 membership (OR = 0.29, 95% CI [0.14–0.61]). FCPs showed a higher probability of Class 2 membership than PHPs (OR = 4.64, 95% CI [3.31–6.55]). Conclusions These findings suggest that the LCA approach can provide important information on how education and training could be tailored for different subgroups of paediatricians. In Italy standardized educational interventions improving paediatricians’ screening of SDB are needed in order to guarantee efficient management of children with SDB and reduce the burden of disease.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-02-01 |