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Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA

BACKGROUND: Serious games, and especially digital game based learning (DGBL) methodologies, have the potential to strengthen classic learning methodology in all medical procedures characterized by a flowchart (e.g., neonatal resuscitation algorithm). However, few studies have compared short- and lon...

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Autores principales: Bardelli, Serena, Del Corso, Giulio, Ciantelli, Massimiliano, Del Pistoia, Marta, Lorenzoni, Francesca, Fossati, Nicoletta, Scaramuzzo, Rosa T., Cuttano, Armando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010974/
https://www.ncbi.nlm.nih.gov/pubmed/35433552
http://dx.doi.org/10.3389/fped.2022.842302
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author Bardelli, Serena
Del Corso, Giulio
Ciantelli, Massimiliano
Del Pistoia, Marta
Lorenzoni, Francesca
Fossati, Nicoletta
Scaramuzzo, Rosa T.
Cuttano, Armando
author_facet Bardelli, Serena
Del Corso, Giulio
Ciantelli, Massimiliano
Del Pistoia, Marta
Lorenzoni, Francesca
Fossati, Nicoletta
Scaramuzzo, Rosa T.
Cuttano, Armando
author_sort Bardelli, Serena
collection PubMed
description BACKGROUND: Serious games, and especially digital game based learning (DGBL) methodologies, have the potential to strengthen classic learning methodology in all medical procedures characterized by a flowchart (e.g., neonatal resuscitation algorithm). However, few studies have compared short- and long-term knowledge retention in DGBL methodologies with a control group undergoing specialist training led by experienced operators. In particular, resident doctors' learning still has limited representation in simulation-based education literature. OBJECTIVE: A serious computer game DIANA (DIgital Application in Newborn Assessment) was developed, according to newborn resuscitation algorithm, to train pediatric/neonatology residents in neonatal resuscitation algorithm knowledge and implementation (from procedure knowledge to ventilation/chest compressions rate). We analyzed user learning curves after each session and compared knowledge retention against a classic theoretical teaching session. METHODS: Pediatric/neonatology residents of the Azienda Ospedaliera Universitaria Pisana (AOUP) were invited to take part in the study and were split into a game group or a control group; both groups were homogeneous in terms of previous training and baseline scores. The control group attended a classic 80 min teaching session with a neonatal trainer, while game group participants played four 20 min sessions over four different days. Three written tests (pre/immediately post-training and at 28 days) were used to evaluate and compare the two groups' performances. RESULTS: Forty-eight pediatric/neonatology residents participated in the study. While classic training by a neonatal trainer demonstrated an excellent effectiveness in short/long-term knowledge retention, DGBL methodology proved to be equivalent or better. Furthermore, after each game session, DGBL score improved for both procedure knowledge and ventilation/chest compressions rate. CONCLUSIONS: In this study, DGBL was as effective as classic specialist training for neonatal resuscitation in terms of both algorithm memorization and knowledge retention. User appreciation for the methodology and ease of administration, including remotely, support the use of DGBL methodologies for pediatric/neonatology residents education.
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spelling pubmed-90109742022-04-16 Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA Bardelli, Serena Del Corso, Giulio Ciantelli, Massimiliano Del Pistoia, Marta Lorenzoni, Francesca Fossati, Nicoletta Scaramuzzo, Rosa T. Cuttano, Armando Front Pediatr Pediatrics BACKGROUND: Serious games, and especially digital game based learning (DGBL) methodologies, have the potential to strengthen classic learning methodology in all medical procedures characterized by a flowchart (e.g., neonatal resuscitation algorithm). However, few studies have compared short- and long-term knowledge retention in DGBL methodologies with a control group undergoing specialist training led by experienced operators. In particular, resident doctors' learning still has limited representation in simulation-based education literature. OBJECTIVE: A serious computer game DIANA (DIgital Application in Newborn Assessment) was developed, according to newborn resuscitation algorithm, to train pediatric/neonatology residents in neonatal resuscitation algorithm knowledge and implementation (from procedure knowledge to ventilation/chest compressions rate). We analyzed user learning curves after each session and compared knowledge retention against a classic theoretical teaching session. METHODS: Pediatric/neonatology residents of the Azienda Ospedaliera Universitaria Pisana (AOUP) were invited to take part in the study and were split into a game group or a control group; both groups were homogeneous in terms of previous training and baseline scores. The control group attended a classic 80 min teaching session with a neonatal trainer, while game group participants played four 20 min sessions over four different days. Three written tests (pre/immediately post-training and at 28 days) were used to evaluate and compare the two groups' performances. RESULTS: Forty-eight pediatric/neonatology residents participated in the study. While classic training by a neonatal trainer demonstrated an excellent effectiveness in short/long-term knowledge retention, DGBL methodology proved to be equivalent or better. Furthermore, after each game session, DGBL score improved for both procedure knowledge and ventilation/chest compressions rate. CONCLUSIONS: In this study, DGBL was as effective as classic specialist training for neonatal resuscitation in terms of both algorithm memorization and knowledge retention. User appreciation for the methodology and ease of administration, including remotely, support the use of DGBL methodologies for pediatric/neonatology residents education. Frontiers Media S.A. 2022-04-01 /pmc/articles/PMC9010974/ /pubmed/35433552 http://dx.doi.org/10.3389/fped.2022.842302 Text en Copyright © 2022 Bardelli, Del Corso, Ciantelli, Del Pistoia, Lorenzoni, Fossati, Scaramuzzo and Cuttano. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Bardelli, Serena
Del Corso, Giulio
Ciantelli, Massimiliano
Del Pistoia, Marta
Lorenzoni, Francesca
Fossati, Nicoletta
Scaramuzzo, Rosa T.
Cuttano, Armando
Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA
title Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA
title_full Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA
title_fullStr Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA
title_full_unstemmed Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA
title_short Improving Pediatric/Neonatology Residents' Newborn Resuscitation Skills With a Digital Serious Game: DIANA
title_sort improving pediatric/neonatology residents' newborn resuscitation skills with a digital serious game: diana
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010974/
https://www.ncbi.nlm.nih.gov/pubmed/35433552
http://dx.doi.org/10.3389/fped.2022.842302
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