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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

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 sel...

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Autores principales: Nosetti, Luana, Paglietti, Maria Giovanna, Brunetti, Luigia, Masini, Luigi, La Grutta, Stefania, Cilluffo, Giovanna, Ferrante, Giuliana, Zaffanello, Marco, Verrillo, Elisabetta, Pavone, Martino, Niespolo, Alessandra Cristina, Broggi, Giacomo, Cutrera, Renato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996829/
https://www.ncbi.nlm.nih.gov/pubmed/32012194
http://dx.doi.org/10.1371/journal.pone.0228377
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author Nosetti, Luana
Paglietti, Maria Giovanna
Brunetti, Luigia
Masini, Luigi
La Grutta, Stefania
Cilluffo, Giovanna
Ferrante, Giuliana
Zaffanello, Marco
Verrillo, Elisabetta
Pavone, Martino
Niespolo, Alessandra Cristina
Broggi, Giacomo
Cutrera, Renato
author_facet Nosetti, Luana
Paglietti, Maria Giovanna
Brunetti, Luigia
Masini, Luigi
La Grutta, Stefania
Cilluffo, Giovanna
Ferrante, Giuliana
Zaffanello, Marco
Verrillo, Elisabetta
Pavone, Martino
Niespolo, Alessandra Cristina
Broggi, Giacomo
Cutrera, Renato
author_sort Nosetti, Luana
collection PubMed
description 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.
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spelling pubmed-69968292020-02-20 Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy Nosetti, Luana Paglietti, Maria Giovanna Brunetti, Luigia Masini, Luigi La Grutta, Stefania Cilluffo, Giovanna Ferrante, Giuliana Zaffanello, Marco Verrillo, Elisabetta Pavone, Martino Niespolo, Alessandra Cristina Broggi, Giacomo Cutrera, Renato PLoS One Research Article 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. Public Library of Science 2020-02-03 /pmc/articles/PMC6996829/ /pubmed/32012194 http://dx.doi.org/10.1371/journal.pone.0228377 Text en © 2020 Nosetti et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nosetti, Luana
Paglietti, Maria Giovanna
Brunetti, Luigia
Masini, Luigi
La Grutta, Stefania
Cilluffo, Giovanna
Ferrante, Giuliana
Zaffanello, Marco
Verrillo, Elisabetta
Pavone, Martino
Niespolo, Alessandra Cristina
Broggi, Giacomo
Cutrera, Renato
Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy
title Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy
title_full Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy
title_fullStr Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy
title_full_unstemmed Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy
title_short Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy
title_sort application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in italy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996829/
https://www.ncbi.nlm.nih.gov/pubmed/32012194
http://dx.doi.org/10.1371/journal.pone.0228377
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