Influencing factors of disaster resilience for medical rescue workers: a meta-analysis_Chinese Journal of Evidence-Based Medicine

Authors：

XU Yehua ¹ ,  MAO Xiaorong ² , WANG Fang ¹ , GUAN Jinying ² , CHE Hong ³

1. Department of Nursing, Emergency Intensive Care Unit, Affiliated Hospital of University of Electronic Science and Technology of China & Sichuan Provincial People’s Hospital, Chengdu 610072, P. R. China;
2. Department of Nursing, Affiliated Hospital of University of Electronic Science and Technology of China & Sichuan Provincial People’s Hospital, Chengdu 610072, P. R. China;
3. Department of Nursing, Neonatal Intensive Care Unit, Affiliated Hospital of University of Electronic Science and Technology of China & Sichuan Provincial People’s Hospital, Chengdu 610072, P. R. China;

Corresponding?author：

MAO Xiaorong, Email: xiaorong_mao@qq.com

Keywords：

Medical rescue workers; Disaster resilience; Influencing factors; Systematic review; Meta-analysis

DOI：

10.7507/1672-2531.202302066

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To systematically evaluate the influencing factors of disaster resilience for medical rescue workers. Methods PubMed, Cochrane Library, Web of Science, CINAHL, APA PsycInfo, EMbase, Scopus, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect studies on the influencing factors of disaster resilience for medical rescue workers from inception to November 1, 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 16.0 software. Results A total of 36 studies involving 7 974 medical rescue workers were included. The meta-analysis results showed that personal influencing factors, including active coping, rescue confidence, disaster preparedness, knowledge attainment, physical health, and exercise were positively correlated with the disaster resilience of healthcare workers. However, depression, anxiety, stress, and a history of mental illness were negatively related to the disaster resilience of medical rescue workers. Environmental and background factors, including social support, relief supplies, disaster training, economic condition, rescue experience, length of service, and technical title, were positively correlated with the disaster resilience of medical rescue workers. Conclusion Current evidence shows that the disaster resilience of medical rescue workers is affected by a variety of personal factors and environmental/background factors. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.

Citation： XU Yehua, MAO Xiaorong, WANG Fang, GUAN Jinying, CHE Hong. Influencing factors of disaster resilience for medical rescue workers: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2023, 23(8): 916-922. doi: 10.7507/1672-2531.202302066 Copy

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2. Naushad VA, Bierens JJ, Nishan KP, et al. A systematic review of the impact of disaster on the mental health of medical responders. Prehosp Disaster Med, 2019, 34(6): 632-643.
3. Kim MS, Kim T, Lee D, et al. Mental disorders among workers in the healthcare industry: 2014 national health insurance data. Ann Occup Environ Med, 2018, 30: 31.
4. Pereira-Lima K, Mata DA, Loureiro SR, et al. Association between physician depressive symptoms and medical errors: a systematic review and meta-analysis. JAMA Netw Open, 2019, 2(11): e1916097.
5. Mao X, Hu X, Loke AY. A concept analysis on disaster resilience in rescue workers: the psychological perspective. Disaster Med Public Health Prep, 2022, 16(4): 1682-1691.
6. Mao XR, Chen K, Hu XY, et al. Establishment of the psychometric properties of a disaster resilience measuring tool for healthcare rescuers in China: a cross-sectional study. Int J Disaster Risk Sci, 2021, 12(3): 381-393.
7. 曾憲濤, 劉慧, 陳曦, 等. Meta分析系列之四: 觀察性研究的質量評價工具. 中國循證心血管醫學雜志, 2012, 4(4): 297-299.
8. Wilson DB. Practical meta-analysis effect size calculator. Fairfax: George Mason University, 2001.
9. Peterson RA, Brown SP. On the use of beta coefficients in meta-analysis. J Appl Psychol, 2005, 90(1): 175-181.
10. Cohen J. Statistical power analysis for the behavioral sciences (2nd Edition). New York: Lawrence Erlbaum Associates, 1988: 79-81.
11. Abdolkarimi M, Seyedbagheri SH, Ganjeh H, et al. Resiliency and its relationship with secondary traumatic stress among nursing staff during COVID-19 pandemic. J Kerm Uni Med Sci, 2022, 29(4): 385-394.
12. Ahmed FR, Bani-Issa W, Timmins F, et al. Managing during the COVID-19 pandemic: a cross-sectional study of health care workers' perceived organizational support and its consequences on their compassion, resilience and turnover intention. J Nurs Manag, 2022, 30(7): 2642-2652.
13. Atay N, Sahin-Bayindir G, Buzlu S, et al. The relationship between posttraumatic growth and psychological resilience of nurses working at the pandemic clinics. Int J Nurs Knowl, 2022, (10): 27.
14. Hatefipour Z, Maghami Sharif Z, Farahani H, et al. Working in hospitals during a pandemic: investigating the resilience among medical staff during COVID-19 outbreak through qualitative and quantitative research. Prim Health Care Res Dev, 2022, 23: e53.
15. Jiménez-Fernández R, Corral-Liria I, Trevissón-Redondo B, et al. Burnout, resilience and psychological flexibility in frontline nurses during the acute phase of the COVID-19 pandemic (2020) in Madrid, Spain. J Nurs Manag, 2022, 30(7): 2549-2556.
16. Baldassini Rodriguez S, Bardacci Y, El Aoufy K, et al. Promoting and risk factors of nurses' hardiness levels during the covid-19 pandemic: results from an Italian cohort. Int J Environ Res Public Health, 2022, 19(3): 1523.
17. Zhang Y, Xiong Y, Zhang L, et al. Sociodemographic and psychological predictors of resilience among frontline nurses fighting the COVID-19 pandemic. Disaster Med Public Health Prep, 2022, 17: e171.
18. 陳姍, 盧軍, 成沛玉, 等. 抗擊新冠肺炎疫情一線護士心理彈性現狀及影響因素研究. 保健醫學研究與實踐, 2022, 19(1): 7-11.
19. 邵麗梅, 譚惠儀, 李海燕, 等. 廣州市某三甲醫院外出核酸采樣醫務人員心理彈性及影響因素分析. 職業衛生與應急救援, 2022, 40(5): 543-547, 582.
20. Nourollahi-Darabad M, Afshari D, Chinisaz N. Psychosocial factors associated with resilience among iranian nurses during COVID-19 outbreak. Front Public Health, 2021, 9: 714971.
21. Afshari D, Nourollahi-Darabad M, Chinisaz N. Demographic predictors of resilience among nurses during the COVID-19 pandemic. Work, 2021, 68(2): 297-303.
22. Alhalaiqa FN, Khalifeh AH, Al Omari O, et al. Psychological problems in a sample of jordanian healthcare workers involved in caring for patients with COVID-19: a cross-sectional study. Front Psychol, 2021, 12: 679785.
23. Douillet D, Caillaud A, Riou J, et al. Assessment of physicians' resilience level during the COVID-19 pandemic. Transl Psychiatry, 2021, 11(1): 283.
24. Wang J, Li D, Bai X, et al. The physical and mental health of the medical staff in Wuhan Huoshenshan Hospital during COVID-19 epidemic: a structural equation modeling approach. Eur J Integr Med, 2021, 44: 101323.
25. 劉潔汝, 史崇清, 王楠. 突發公共衛生事件中一線護士心理狀況研究. 心理月刊, 2021, 16(20): 85-87, 95.
26. 劉立, 劉春云, 李俊義, 等. 抗擊新型冠狀病毒肺炎疫情一線醫務人員心理彈性狀況及影響因素. 實用醫學雜志, 2021, 37(8): 979-983.
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33. 曹蕾, 汪蓉, 楊寶義, 等. 新冠肺炎隔離病房護士心理韌性與社會支持的相關性研究. 精神醫學雜志, 2020, 33(3): 161-164.
34. 陳意, 劉誠信, 陳曉莉, 等. 四川援鄂醫務人員心理韌性、社會支持評定及相關因素調查分析. 現代預防醫學, 2020, 47(16): 2933-2938, 2952.
35. 遲璐璐, 鐘文娟, 劉麗明, 等. 新冠肺炎疫情防控期發熱門診護士心理彈性的研究. 武漢輕工大學學報, 2020, 39(3): 55-60.
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Chinese Journal of Evidence-Based Medicine

Influencing factors of disaster resilience for medical rescue workers: a meta-analysis

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