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Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis
BACKGROUND: PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the preval...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Occupational Safety and Health Research Institute
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233879/ https://www.ncbi.nlm.nih.gov/pubmed/35784492 http://dx.doi.org/10.1016/j.shaw.2022.06.003 |
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author | Qi, Guojia Yuan, Ping Qi, Miao Hu, Xiuli Shi, Shangpeng Shi, Xiuquan |
author_facet | Qi, Guojia Yuan, Ping Qi, Miao Hu, Xiuli Shi, Shangpeng Shi, Xiuquan |
author_sort | Qi, Guojia |
collection | PubMed |
description | BACKGROUND: PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19. METHODS: The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I(2) statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out. RESULTS: A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%–40%) and 38% (95% CI: 30%–45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married. CONCLUSION: Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD. |
format | Online Article Text |
id | pubmed-9233879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Occupational Safety and Health Research Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-92338792022-06-27 Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis Qi, Guojia Yuan, Ping Qi, Miao Hu, Xiuli Shi, Shangpeng Shi, Xiuquan Saf Health Work Review Article BACKGROUND: PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19. METHODS: The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I(2) statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out. RESULTS: A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%–40%) and 38% (95% CI: 30%–45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married. CONCLUSION: Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD. Occupational Safety and Health Research Institute 2022-09 2022-06-26 /pmc/articles/PMC9233879/ /pubmed/35784492 http://dx.doi.org/10.1016/j.shaw.2022.06.003 Text en © 2022 Occupational Safety and Health Research Institute 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 | Review Article Qi, Guojia Yuan, Ping Qi, Miao Hu, Xiuli Shi, Shangpeng Shi, Xiuquan Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis |
title | Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis |
title_full | Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis |
title_fullStr | Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis |
title_full_unstemmed | Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis |
title_short | Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis |
title_sort | influencing factors of high ptsd among medical staff during covid-19: evidences from both meta-analysis and subgroup analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233879/ https://www.ncbi.nlm.nih.gov/pubmed/35784492 http://dx.doi.org/10.1016/j.shaw.2022.06.003 |
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