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 |
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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 |
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