Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy

Autor: Nosetti L, Paglietti MG, Brunetti L, Masini L, La Grutta S, Cilluffo G, Ferrante G, Zaffanello M, Verrillo E, Pavone M, Niespolo AC, Broggi G, Cutrera R, Diletta Valentini, Dominga Cardaropoli, Carolina De Chiara, Valentina Tranchino, Salvatore Iasevoli, Angela Salvatore, Amelia Balzarini, Valeria Spica Russotto, Stefania Porcu, Paolo Barracchini, Sinibaldo Iemboli, Giuseppe Rosselli
Přispěvatelé: Nosetti L, Paglietti MG, Brunetti L, Masini L, La Grutta S, Cilluffo G, Ferrante G, Zaffanello M, Verrillo E, Pavone M, Niespolo AC, Broggi G, Cutrera R, Diletta Valentini, Dominga Cardaropoli, Carolina De Chiara, Valentina Tranchino, Salvatore Iasevoli, Angela Salvatore, Amelia Balzarini, Valeria Spica Russotto, Stefania Porcu, Paolo Barracchini, Sinibaldo Iemboli, Giuseppe Rosselli
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Questionnaires
European People
Health Knowledge
Attitudes
Practice

Medical Doctors
Cross-sectional study
Health Care Providers
Pilot Projects
Personal Satisfaction
Practice Patterns
Logistic regression
Pediatrics
Families
latent class analysis
sleep disorder
children
paediatricians

0302 clinical medicine
Sleep-Disordered Breathing
Surveys and Questionnaires
Medicine and Health Sciences
Ethnicities
Medical Personnel
Practice Patterns
Physicians'

Child
Transients and Migrants
Sleep disorder
Practice
Multidisciplinary
Health Knowledge
Armenia
Middle Aged
Hospitals
Pediatric

Latent class model
Italian People
Professions
Health Education and Awareness
Neurology
Italy
Research Design
Respondent
Practice Guidelines as Topic
Pediatric Otolaryngology
Medicine
Job satisfaction
Health education
Female
Sexual Health
Research Article
Adult
medicine.medical_specialty
Adolescent
Science
education
Mothers
Research and Analysis Methods
03 medical and health sciences
Young Adult
Sleep Apnea Syndromes
children
030225 pediatrics
Physicians
medicine
latent class analysis
Humans
Pediatricians
Demography
Survey Research
Physicians'
business.industry
medicine.disease
Health Surveys
Health Care
Cross-Sectional Studies
Otorhinolaryngology
Age Groups
Family medicine
Attitudes
People and Places
Population Groupings
business
Sleep Disorders
030217 neurology & neurosurgery
paediatricians
Zdroj: PloS one (2020). doi:10.1371/journal.pone.0228377
info:cnr-pdr/source/autori:Luana Nosetti; Maria Giovanna Paglietti; Luigia Brunetti; Luigi Masini; Stefania La Grutta; Giovanna Cilluffo; Giuliana Ferrante; Marco Zaffanello; Elisabetta Verrillo; Martino Pavone; Alessandra Cristina Niespolo; Giacomo Broggi; Renato Cutrera; on behalf of the IPRS (SIMRI)Task Force on Sleep Disordered Breathing (SDB-TF)¶/titolo:Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy./doi:10.1371%2Fjournal.pone.0228377/rivista:PloS one/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume
PLoS ONE
PLoS ONE, Vol 15, Iss 2, p e0228377 (2020)
DOI: 10.1371/journal.pone.0228377
Popis: 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
Databáze: OpenAIRE