Post COVID-19 mental health symptoms and quality of life among COVID-19 frontline clinicians: a comparative study using propensity score matching approach

  • World Health Organization. Naming the coronavirus disease (COVID-19) and the virus that causes it. 2020. https://www.whoint/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it. Accessed 11 Feb 2020.

  • World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19-11 May 2020. 2020. https://www.whoint/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19–11-march-2020. Accessed 11 March 2020.

  • Johns Hopkins University. COVID-19 dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). 2020. https://www.coronavirusjhuedu/maphtml. Accessed 25 Jan 2022.

  • Baud D, Qi X, Nielsen-Saines K, Musso D, Pomar L, Favre G. Real estimates of mortality following COVID-19 infection. Lancet Infect Dis. 2020;20:773.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hasan MN, Haider N, Stigler FL, Khan RA, McCoy D, Zumla A, et al. The global case-fatality rate of COVID-19 has been declining since May 2020. Am J Trop Med Hyg. 2021;104:2176–84.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • China Daily. Chongqing sends medical staff, oranges to aid epidemic control in Hubei. 2020. https://www.chinadailycomcn/regional/chongqing/liangjiang/2020-02/11/content_37533525htm. Accessed 11 Feb 2020.

  • City of Zhuhai. More Zhuhai medics and supplies en route to Hubei. 2020. http://www.cityofzhuhaicom/2020-02/13/c_451752htm. Accessed 13 Feb 2020.

  • Xinhua Net. With the help of more than 20,000 medical staff from other areas, could the tension in Hubei hospitals be relieved? (in Chinese). 2020. http://www.xinhuanetcom/2020-02/13/c_1125570509htm. Accessed 13 Feb 2020.

  • Xiang YT, Jin Y, Wang Y, Zhang Q, Zhang L, Cheung T. Tribute to health workers in China: a group of respectable population during the outbreak of the COVID-19. Int J Biol Sci. 2020;16:1739–40.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, et al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw Open. 2020;3:e203976.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Alshekaili M, Hassan W, Al Said N, Al Sulaimani F, Jayapal SK, Al-Mawali A, et al. Factors associated with mental health outcomes across healthcare settings in Oman during COVID-19: frontline versus non-frontline healthcare workers. BMJ Open. 2020;10:e042030.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Cai Q, Feng H, Huang J, Wang M, Wang Q, Lu X, et al. The mental health of frontline and non-frontline medical workers during the coronavirus disease 2019 (COVID-19) outbreak in China: A case-control study. J Affect Disord. 2020;275:210–5.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Trumello C, Bramanti SM, Ballarotto G, Candelori C, Cerniglia L, Cimino S, et al. Psychological adjustment of healthcare workers in Italy during the COVID-19 pandemic: differences in stress, anxiety, depression, burnout, secondary trauma, and compassion satisfaction between frontline and non-frontline professionals. Int J Environ Res Public Health. 2020;17:8358.

  • Zhang X, Zhao K, Zhang G, Feng R, Chen J, Xu D, et al. Occupational stress and mental health: a comparison between frontline medical staff and non-frontline medical staff during the 2019 novel coronavirus disease outbreak. Front Psychiatry. 2020;11:555703.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Maunder RG, Lancee WJ, Balderson KE, Bennett JP, Borgundvaag B, Evans S, et al. Long-term psychological and occupational effects of providing hospital healthcare during SARS outbreak. Emerg Infect Dis. 2006;12:1924–32.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ghebreyesus TA. World Health Organization warns: Coronavirus remains ‘extremely dangerous’ and ‘will be with us for a long time’. 2020. https://www.cnbccom/2020/04/22/world-health-organzation-warns-coronavirus-will-be-with-us-for-a-long-timehtml. Accessed 22 April 2020.

  • Tanabe K. Society coexisting with COVID-19. Infect Control Hosp Epidemiol. 2020;41:988–9.

    PubMed 

    Google Scholar
     

  • Kathirvel N. Post COVID-19 pandemic mental health challenges. Asian J psychiatry. 2020;53:102430.


    Google Scholar
     

  • DX Doctor. COVID-19 global pandemic real-time report (in Chinese). 2021. https://www.ncovdxycn/ncovh5/view/pneumonia. Accessed 22 April 2021.

  • Huang L, Lei W, Xu F, Liu H, Yu L. Emotional responses and coping strategies in nurses and nursing students during Covid-19 outbreak: a comparative study. PLoS ONE. 2020;15:e0237303.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Liu J, Zhu Q, Fan W, Makamure J, Zheng C, Wang J. Online mental health survey in a Medical College in China during the COVID-19 outbreak. Front Psychiatry. 2020;11:459.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Li M, Liu L, Yang Y, Wang Y, Yang X, Wu H. Psychological impact of health risk communication and social media on college students during the COVID-19 pandemic: cross-sectional study. J Med Internet Res. 2020;22:e20656.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • China Academy of Information and Communications Technology (CAICT). WeChat employment impact report 2019-2020 (in Chinese). 2020. http://www.caictaccn/kxyj/qwfb/ztbg/202005/t20200514_281774htm. Accessed 1 May 2020.

  • Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary care evaluation of mental disorders. Patient health questionnaire. JAMA. 1999;282:1737–44.

    CAS 
    PubMed 

    Google Scholar
     

  • Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Chen MM, Sheng L, Qu S. Diagnostic test of screening depressive disorder in general hospital with the patient health questionnaire (in Chinese). J Chin Ment Health. 2015;29:241–5.


    Google Scholar
     

  • Wang W, Bian Q, Zhao Y, Li X, Wang W, Du J, et al. Reliability and validity of the Chinese version of the patient health questionnaire (PHQ-9) in the general population. Gen Hospital Psychiatry. 2014;36:539–44.


    Google Scholar
     

  • Xu Y, Wu HS, Xu YF. The application of patient health questionnaire 9 in community elderly population: reliability and validity. Shanghai Arch Psychiatry. 2007;19:257–9+76.


    Google Scholar
     

  • Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092–7.

    PubMed 

    Google Scholar
     

  • Zeng Q-Z, He Y-L, Liu H, Miu J-M, Chen J-X, Xu H-N, et al. Reliability and validity of Chinese version of generalized anxiety disorder 7-item (GAD-7) scale in screening anxiety disorder in outpatients from traditional Chinese internal department (in Chinese). Chin Ment Health J. 2013;27:163–8.


    Google Scholar
     

  • He X-Y, Li C-B, Qian J, Cui H-S, Wu W-Y. Reliability and validity of a generalized anxiety disorder scale in general hospital outpatients (in Chinese). Shanghai Arch Psychiatry. 2010;22:200–3.


    Google Scholar
     

  • Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2:297–307.

    PubMed 

    Google Scholar
     

  • Yu DS. Insomnia severity index: psychometric properties with Chinese community-dwelling older people. J Adv Nurs. 2010;66:2350–9.

    PubMed 

    Google Scholar
     

  • Li E-Z, Li W-X, Xie Z-T, Zhang B. The validity and reliability of severe insomnia index scale (in Chinese). 10th Annual Conference of Chinese Sleep Research Society; Harbin, Heilongjiang: Chinese Sleep Research Society; 2018. p. 154.

  • Bai C-J, Ji D-H, Chen L-X, Li L, Wang C-X. Reliability and validity of insomnia severity index scale in clinical insomnia patients (in Chinese). Chin J Practical Nurs. 2018;34:2182–6.


    Google Scholar
     

  • Chen Z-H, Wang S-Y, Jing C-X. Prevalence of workplace violence in staff of two hospitals in Guangzhou (in Chinese). Zhonghua Yu Fang Yi Xue Za Zhi. 2003;37:358–60.

    PubMed 

    Google Scholar
     

  • Skevington SM, Tucker C. Designing response scales for cross-cultural use in health care: data from the development of the UK WHOQOL. Br J Med Psychol. 1999;72:51–61.

    PubMed 

    Google Scholar
     

  • The WHOQOL GROUP. Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychol Med. 1998;28:551–8.


    Google Scholar
     

  • Fang J-Q, Hao Y-T, Li C-X. Reliability and validity for Chinese version of WHO quality of life scale (in Chinese). Chinese. J Ment Health. 1999;13:203–5+7.


    Google Scholar
     

  • Xia P, Li N, Hau KT, Liu C, Lu Y. Quality of life of Chinese urban community residents: a psychometric study of the mainland Chinese version of the WHOQOL-BREF. BMC Med Res Methodol. 2012;12:37.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983;70:41–55.


    Google Scholar
     

  • Austin PC. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Stat Med. 2008;27:2037–49.

    PubMed 

    Google Scholar
     

  • VanderWeele TJ, Shpitser I. On the definition of a confounder. Ann Stat. 2013;41:196–220.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Stürmer T. Variable selection for propensity score models. Am J Epidemiol. 2006;163:1149–56.

    PubMed 

    Google Scholar
     

  • Schulz KF, Grimes DA. The Lancet handbook of essential concepts in clinical research. Amsterdam, Elsevier; 2006.

  • Ali MS, Prieto-Alhambra D, Lopes LC, Ramos D, Bispo N, Ichihara MY, et al. Propensity score methods in health technology assessment: principles, extended applications, and recent advances. Front Pharm. 2019;10:973.


    Google Scholar
     

  • Austin PC. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. J Thorac Cardiovascular Surg. 2007;134:1128.e3–35.


    Google Scholar
     

  • Yao XI, Wang X, Speicher PJ, Hwang ES, Cheng P, Harpole DH, et al. Reporting and guidelines in propensity score analysis: a systematic review of cancer and cancer surgical studies. J Natl Cancer Inst. 2017;109:djw323.

    PubMed Central 

    Google Scholar
     

  • Ho DE, Imai K, King G, Stuart EA. Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Anal. 2007;15:199–236.


    Google Scholar
     

  • Imai K, King G, Stuart EA. Misunderstandings among experimentalists and observationalists: balance test fallacies in causal inference. J R Stat Soc Ser A. 2007;17:481–502.


    Google Scholar
     

  • Normand ST, Landrum MB, Guadagnoli E, Ayanian JZ, Ryan TJ, Cleary PD, et al. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. J Clin Epidemiol. 2001;54:387–98.

    CAS 
    PubMed 

    Google Scholar
     

  • Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28:3083–107.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mamdani M, Sykora K, Li P, Normand SL, Streiner DL, Austin PC, et al. Reader’s guide to critical appraisal of cohort studies: 2 Assess potential confounding. BMJ. 2005;330:960–2.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Stuart EA. Matching methods for causal inference: a review and a look forward. Stat Sci. 2010;25:1–21.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rubin DB. Using propensity scores to help design observational studies: application to the tobacco litigation. Health Serv Outcomes Res Methodol. 2001;2:169–88.


    Google Scholar
     

  • Uphoff EP, Lombardo C, Johnston G, Weeks L, Rodgers M, Dawson S, et al. Mental health among healthcare workers and other vulnerable groups during the COVID-19 pandemic and other coronavirus outbreaks: a rapid systematic review. PLoS ONE. 2021;16:e0254821.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hao Q, Wang D, Xie M, Tang Y, Dou Y, Zhu L, et al. Prevalence and risk factors of mental health problems among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis. Front Psychiatry. 2021;12:567381.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pappa S, Ntella V, Giannakas T, Giannakoulis VG, Papoutsi E, Katsaounou P. Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis. Brain Behav Immun. 2020;88:901–7.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Marvaldi M, Mallet J, Dubertret C, Moro MR, Guessoum SB. Anxiety, depression, trauma-related, and sleep disorders among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2021;126:252–64.

    CAS 
    PubMed 

    Google Scholar
     

  • Zhao YJ, Zhang SF, Li W, Zhang L, Cheung T, Tang YL, et al. Mental health status and quality of life in close contacts of COVID-19 patients in the post-COVID-19 era: a comparative study. Transl Psychiatry. 2021;11:505.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Xie XM, Zhao YJ, An FR, Zhang QE, Yu HY, Yuan Z, et al. Workplace violence and its association with quality of life among mental health professionals in China during the COVID-19 pandemic. J Psychiatr Res. 2021;135:289–93.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Tran TV, Nguyen HC, Pham LV, Nguyen MH, Nguyen HC, Ha TH, et al. Impacts and interactions of COVID-19 response involvement, health-related behaviours, health literacy on anxiety, depression and health-related quality of life among healthcare workers: a cross-sectional study. BMJ Open. 2020;10:e041394.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Parthasarathy R, Ts J, K T, Murthy P. Mental health issues among health care workers during the COVID-19 pandemic – A study from India. Asian J Psychiatr. 2021;58:102626.

    PubMed 

    Google Scholar
     

  • Su Q, Ma X, Liu S, Liu S, Goodman BA, Yu M, et al. Adverse psychological reactions and psychological aids for medical staff during the COVID-19 outbreak in china. Front Psychiatry. 2021;12:580067.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhou Y, Ding H, Zhang Y, Zhang B, Guo Y, Cheung T, et al. Prevalence of poor psychiatric status and sleep quality among frontline healthcare workers during and after the COVID-19 outbreak: a longitudinal study. Transl Psychiatry. 2021;11:223.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Di Tella M, Romeo A, Benfante A, Castelli L. Mental health of healthcare workers during the COVID-19 pandemic in Italy. J Eval Clin Pr. 2020;26:1583–7.


    Google Scholar
     

  • Central Leading Group for Responding to the COVID-19 pandemic. Notice on the comprehensive implementation of several measures to further protect and care for frontline medical personnel (in Chinese). 2020. http://www.govcn/zhengce/content/2020-02/23/content_5482345htm. Accessed 22 Feb 2020.

  • China Daily. Caterers express gratitude to medical workers. 2020. https://www.globalchinadailycomcn/a/202003/23/WS5e787a9aa31012821728150ehtml. Accessed 23 March 2020.

  • China Daily. Free movies offered as thanks to medical workers. 2020. https://www.chinadailycomcn/a/202008/28/WS5f488b3da310675eafc5621bhtml. Accessed 28 Aug 2020.

  • China Daily. College students provide free tutoring to children of medical staff. 2020. https://globalchinadailycomcn/a/202002/18/WS5e4b7f7aa310128217278680html. Accessed 18 Feb 2020.

  • Liu Q, Luo D, Haase JE, Guo Q, Wang XQ, Liu S, et al. The experiences of health-care providers during the COVID-19 crisis in China: a qualitative study. Lancet. Glob Health. 2020;8:e790–e8.


    Google Scholar
     

  • Sun N, Wei L, Shi S, Jiao D, Song R, Ma L, et al. A qualitative study on the psychological experience of caregivers of COVID-19 patients. Am J Infect Control. 2020;48:592–8.

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhang Y, Wei L, Li H, Pan Y, Wang J, Li Q, et al. The psychological change process of frontline nurses caring for patients with COVID-19 during its outbreak. Issues Ment Health Nurs. 2020;41:525–30.

    PubMed 

    Google Scholar
     

  • Lee N, Lee HJ. South Korean nurses’ experiences with patient care at a COVID-19-designated hospital: growth after the frontline battle against an infectious disease pandemic. Int J Environ Res Public Health. 2020;17:9015.

  • Tan BYQ, Chew NWS, Lee GKH, Jing M, Goh Y, Yeo LLL, et al. Psychological impact of the COVID-19 pandemic on health care workers in Singapore. Ann Intern Med. 2020;173:317–20.

    PubMed 

    Google Scholar
     

  • Mohd Noor N, Che Yusof R, Yacob MA. Anxiety in frontline and non-frontline healthcare providers in Kelantan, Malaysia. Int J Environ Res Public Health. 2021;18:861.

  • Norhayati MN, Che Yusof R, Azman MY. Vicarious traumatization in healthcare providers in response to COVID-19 pandemic in Kelantan, Malaysia. PLoS ONE. 2021;16:e0252603.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Norhayati MN, Che Yusof R, Azman MY. Depressive symptoms among frontline and non-frontline healthcare providers in response to the COVID-19 pandemic in Kelantan, Malaysia: a cross sectional study. PLoS ONE. 2021;16:e0256932.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lu L, Dong M, Wang SB, Zhang L, Ng CH, Ungvari GS, et al. Prevalence of workplace violence against health-care professionals in China: a comprehensive meta-analysis of observational surveys. Trauma Violence Abus. 2020;21:498–509.


    Google Scholar
     

  • Zhao X-Y. China’s large hospitals are entering the era of security inspection in an all-round way (in Chinese). 2021. https://www.163.com/dy/article/GJ3GE5CS05149RLM.html. Accessed 5 Sep 2021.

  • Portal of the PRC. Memorandum of implementing joint punishment and cooperation on persons who seriously endanger the normal medical order (in Chinese). 2018. http://www.gov.cn/xinwen/2018-10/17/content_5331603.htm. Accessed 17 Oct 2018.