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Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic
OBJECT: With the aim of enhancing prevention and regional control of epidemics, the mental health status of medical personnel was analyzed before the implementation of closed-loop management during the COVID-19 pandemic in the regional hospital representative. METHODS: In accordance with directives...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663214/ https://www.ncbi.nlm.nih.gov/pubmed/38026289 http://dx.doi.org/10.3389/fpubh.2023.1279153 |
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author | Zhou, Limin Huang, Ximei He, Liping He, Jiaxin Qin, Jue Fang, Zhenling Huang, Chen Chen, Jinyu |
author_facet | Zhou, Limin Huang, Ximei He, Liping He, Jiaxin Qin, Jue Fang, Zhenling Huang, Chen Chen, Jinyu |
author_sort | Zhou, Limin |
collection | PubMed |
description | OBJECT: With the aim of enhancing prevention and regional control of epidemics, the mental health status of medical personnel was analyzed before the implementation of closed-loop management during the COVID-19 pandemic in the regional hospital representative. METHODS: In accordance with directives from the unified deployment of the national and regional health bureaus, and following the inclusion and exclusion criteria, from September 2021 to November 2022, all medical personnel assigned to a closed-loop working environment by Guangzhou Panyu Central Hospital were enrolled as research subjects through cluster sampling method. Using a cross-sectional survey method, relevant data such as age, gender, professional title, and mental health status were collected. The Patient Health Questionnaire-9 (PHQ-9) scale, the Generalized Anxiety Disorder-7 (GAD-7) scale, and the Insomnia Severity Index (ISI) scale were administered. Logistic regression analysis was used to study the influencing factors of depression, anxiety, and insomnia. Single factor logistic regression analysis was performed first, followed by multiple factor logistic regression analysis. RESULTS: A total of 500 valid responses were received. Depression was reported by a higher proportion of physicians than nurses. Anxiety was reported by higher proportion of men than women and by a higher proportion of physicians than nurses. Medical personnel under the age of 30 years reported fewer symptoms of insomnia than those over the age of 41 years, and medical personnel with intermediate professional titles reported more severe symptoms of insomnia than junior personnel. There was no significant difference between the results of the three questionnaires for medical personnel from other hospital departments or in the different type of closed-loop work environments. CONCLUSION: During the pandemic, conducting psychological health assessments for medical personnel undergoing pre-job training in closed-loop management was beneficial for the timely detection of psychological problems. Although this study only conducted a cluster sampling survey and lacked comparative analysis on other medical institutions, it still suggested that it was necessary to strengthen timely psychological counseling and intervention for senior male physicians. |
format | Online Article Text |
id | pubmed-10663214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106632142023-11-08 Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic Zhou, Limin Huang, Ximei He, Liping He, Jiaxin Qin, Jue Fang, Zhenling Huang, Chen Chen, Jinyu Front Public Health Public Health OBJECT: With the aim of enhancing prevention and regional control of epidemics, the mental health status of medical personnel was analyzed before the implementation of closed-loop management during the COVID-19 pandemic in the regional hospital representative. METHODS: In accordance with directives from the unified deployment of the national and regional health bureaus, and following the inclusion and exclusion criteria, from September 2021 to November 2022, all medical personnel assigned to a closed-loop working environment by Guangzhou Panyu Central Hospital were enrolled as research subjects through cluster sampling method. Using a cross-sectional survey method, relevant data such as age, gender, professional title, and mental health status were collected. The Patient Health Questionnaire-9 (PHQ-9) scale, the Generalized Anxiety Disorder-7 (GAD-7) scale, and the Insomnia Severity Index (ISI) scale were administered. Logistic regression analysis was used to study the influencing factors of depression, anxiety, and insomnia. Single factor logistic regression analysis was performed first, followed by multiple factor logistic regression analysis. RESULTS: A total of 500 valid responses were received. Depression was reported by a higher proportion of physicians than nurses. Anxiety was reported by higher proportion of men than women and by a higher proportion of physicians than nurses. Medical personnel under the age of 30 years reported fewer symptoms of insomnia than those over the age of 41 years, and medical personnel with intermediate professional titles reported more severe symptoms of insomnia than junior personnel. There was no significant difference between the results of the three questionnaires for medical personnel from other hospital departments or in the different type of closed-loop work environments. CONCLUSION: During the pandemic, conducting psychological health assessments for medical personnel undergoing pre-job training in closed-loop management was beneficial for the timely detection of psychological problems. Although this study only conducted a cluster sampling survey and lacked comparative analysis on other medical institutions, it still suggested that it was necessary to strengthen timely psychological counseling and intervention for senior male physicians. Frontiers Media S.A. 2023-11-08 /pmc/articles/PMC10663214/ /pubmed/38026289 http://dx.doi.org/10.3389/fpubh.2023.1279153 Text en Copyright © 2023 Zhou, Huang, He, He, Qin, Fang, Huang and Chen. 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 | Public Health Zhou, Limin Huang, Ximei He, Liping He, Jiaxin Qin, Jue Fang, Zhenling Huang, Chen Chen, Jinyu Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic |
title | Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic |
title_full | Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic |
title_fullStr | Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic |
title_full_unstemmed | Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic |
title_short | Mental health survey of medical personnel during pre-job training in a closed-loop management system during the COVID-19 pandemic |
title_sort | mental health survey of medical personnel during pre-job training in a closed-loop management system during the covid-19 pandemic |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663214/ https://www.ncbi.nlm.nih.gov/pubmed/38026289 http://dx.doi.org/10.3389/fpubh.2023.1279153 |
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