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Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests

AIM: The aim of this study was to assess the perceptions of medical students with respect to out-of-hospital cardiac arrests focusing on the frequency and survival and to identify potential problems in resuscitation education. METHODS: Fourth-year medical students in a six-year undergraduate educati...

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Autores principales: Kojima, Rie, Nishiuchi, Tatsuya, Kubota, Yoshie, Ota, Ikuo, Ichinohashi, Kohei, Matsushima, Tomohide, Uejima, Toshifumi, Shigeoka, Hironori, Hiraide, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244436/
https://www.ncbi.nlm.nih.gov/pubmed/34223306
http://dx.doi.org/10.1016/j.resplu.2020.100023
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author Kojima, Rie
Nishiuchi, Tatsuya
Kubota, Yoshie
Ota, Ikuo
Ichinohashi, Kohei
Matsushima, Tomohide
Uejima, Toshifumi
Shigeoka, Hironori
Hiraide, Atsushi
author_facet Kojima, Rie
Nishiuchi, Tatsuya
Kubota, Yoshie
Ota, Ikuo
Ichinohashi, Kohei
Matsushima, Tomohide
Uejima, Toshifumi
Shigeoka, Hironori
Hiraide, Atsushi
author_sort Kojima, Rie
collection PubMed
description AIM: The aim of this study was to assess the perceptions of medical students with respect to out-of-hospital cardiac arrests focusing on the frequency and survival and to identify potential problems in resuscitation education. METHODS: Fourth-year medical students in a six-year undergraduate educational system were asked to guess the number of out-of-hospital cardiac arrests with cardiac etiology per year in Japan, related data such as the one-month survival rate from out-of-hospital cardiac arrests with cardiac etiology and the number of deaths from traffic accidents for comparison. The guesses of students were compared with actual statistical data. RESULTS: The incidence of out-of-hospital cardiac arrests was clearly underestimated by the students compared to the real statistics. The median guessed number of out-of-hospital cardiac arrests ranged from 6000 to 20,000 while the real statistics ranged from 73.023 to 78.302 by year (P ​< ​0.001 for all years). In contrast, the guessed number of deaths from traffic accidents was markedly overestimated: the median guessed number ranged from 8000 to 20,000 and the real statistics were 3694 to 4438 (P ​< ​0.001 for all years). The one-month survival rate was also underestimated: the guessed number was 50% and the real rate was 11.5 to 13.5% (P ​< ​0.001 for all years). CONCLUSIONS: Out-of-hospital cardiac arrests are underestimated in frequency, and survival after an arrest is overestimated by medical students. To recognize and to understand the heuristic bias in perception of learners is needed for resuscitation education in addition to promote resuscitation skills of learners.
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spelling pubmed-82444362021-07-02 Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests Kojima, Rie Nishiuchi, Tatsuya Kubota, Yoshie Ota, Ikuo Ichinohashi, Kohei Matsushima, Tomohide Uejima, Toshifumi Shigeoka, Hironori Hiraide, Atsushi Resusc Plus Training and Education AIM: The aim of this study was to assess the perceptions of medical students with respect to out-of-hospital cardiac arrests focusing on the frequency and survival and to identify potential problems in resuscitation education. METHODS: Fourth-year medical students in a six-year undergraduate educational system were asked to guess the number of out-of-hospital cardiac arrests with cardiac etiology per year in Japan, related data such as the one-month survival rate from out-of-hospital cardiac arrests with cardiac etiology and the number of deaths from traffic accidents for comparison. The guesses of students were compared with actual statistical data. RESULTS: The incidence of out-of-hospital cardiac arrests was clearly underestimated by the students compared to the real statistics. The median guessed number of out-of-hospital cardiac arrests ranged from 6000 to 20,000 while the real statistics ranged from 73.023 to 78.302 by year (P ​< ​0.001 for all years). In contrast, the guessed number of deaths from traffic accidents was markedly overestimated: the median guessed number ranged from 8000 to 20,000 and the real statistics were 3694 to 4438 (P ​< ​0.001 for all years). The one-month survival rate was also underestimated: the guessed number was 50% and the real rate was 11.5 to 13.5% (P ​< ​0.001 for all years). CONCLUSIONS: Out-of-hospital cardiac arrests are underestimated in frequency, and survival after an arrest is overestimated by medical students. To recognize and to understand the heuristic bias in perception of learners is needed for resuscitation education in addition to promote resuscitation skills of learners. Elsevier 2020-08-25 /pmc/articles/PMC8244436/ /pubmed/34223306 http://dx.doi.org/10.1016/j.resplu.2020.100023 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Training and Education
Kojima, Rie
Nishiuchi, Tatsuya
Kubota, Yoshie
Ota, Ikuo
Ichinohashi, Kohei
Matsushima, Tomohide
Uejima, Toshifumi
Shigeoka, Hironori
Hiraide, Atsushi
Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests
title Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests
title_full Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests
title_fullStr Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests
title_full_unstemmed Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests
title_short Heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests
title_sort heuristic bias in perception of medical students relating to out-of-hospital cardiac arrests
topic Training and Education
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244436/
https://www.ncbi.nlm.nih.gov/pubmed/34223306
http://dx.doi.org/10.1016/j.resplu.2020.100023
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