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

Authors :
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
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
Source :
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)
Publication Year :
2020

Abstract

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

Details

Language :
English
Database :
OpenAIRE
Journal :
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)
Accession number :
edsair.doi.dedup.....115e85121ad7eee3b5c17f83b285264a
Full Text :
https://doi.org/10.1371/journal.pone.0228377