Protective factors for psychological distress in hospital staff during the Coronavirus pandemic
Researcher Bulletin of Medical Sciences,
Vol. 28 No. 1 (2023),
9 January 2024
,
Page e13
Abstract
Background and Objective: The aim of the current study was to investigate three factors, including coping, resilience, and spiritual well-being as protective factors for the development of PD among hospital staff during the COVID-19 pandemic.
Materials and Methods: In the current research, convenience sampling method was used to select 300 hospital staff from various hospitals in Tehran. The collected data were analyzed using multiple statistical methods, i.e., Pearson’s correlation coefficient, Structural Equation Modeling, and regression analysis.
Results: The findings revealed that nearly 40 percent of the study sample experienced a severe mental disorder. Also, the study findings showed that there was a significant positive correlation between various aspects of spiritual well-being among hospital staff, i.e., communication with self and with God (P<0.01, r=0.676), communication with others and with God (P<0.01, r=0.605) and with self (P<0.01, r=0.626), and lastly communication with nature and with God (P<0.01, r=0.686) and with self (P<0.01, r=0.722) and with others (P<0.01, r=0.640). The results of the simultaneous regression analysis indicated that the three variables of coping, resilience, and spiritual well-being explained 0.072% of the total variance in psychological distress among the hospital staff sample.
Conclusions: The findings of the current study suggested that the three factors of coping, resilience, and spiritual well-being may have a minimal protective role in PD development among the hospital staff population. More research is necessary to draw a conclusion on the role of these variables regarding PD
- Personnel, Hospital; Psychological Distress; Resilience; Psychological; Spirituality; COVID-19
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References
Talevi D, Socci, V, Carai, M, Carnaghi G, Faleri S, Trebbi, E, et al. Mental health outcomes of CoViD-19 pandemic. Riv. Psichiatr. 2020;55(3):137-44.
Rossi R, Socci V, Talevi S, Mensi C, Niolu F, Pacitti A, et al. VOVID-19 pandemic and lockdown measures impact on mental health among the general population in Italy. An N=18147 web-based survey. Psych. Clin. Psychol. 2020 Apr 14. Available at: https://www.medrxiv.org/content/10.1101/2020.04.09.20057802v1
Rossi R, Socci V, Pacitti F, Lorenzo GD, Di Marco A, Siracusano A, et al. Mental health outcomes among front and second line health workers associated with the COVID-19 pandemic in Italy. 2020;1-5. Available at: https://www.medrxiv.org/content/10.1101/2020.04.16.20067801v1.
Wold Health Organization. WHO Coronavirus (COVID-19) Dashboard [Internet]. Geneva: World Health Organization; 2021 [accessed 2021 Dec 14]. Available from: https://covid19.who.int
Carmassi C, Gesi C, Simoncini M, Favilla L, Massimetti G, Olivieri MC, et al. DSM-5 PTSD and posttraumatic stress spectrum in Italian emergency personnel: correlations with work and social adjustment. Neuropsychiatr Dis Treat. 2016 Feb 18;12:375-81.
Arvidsdotter T, Marklund B, Kylén S, Taft C, Ekman I. Understanding persons with psychological distress in primary health care. Scand J Caring Sci. 2016 Dec;30(4):687-94.
Kabito GG, Mekonnen, TH. Psychological distress symptoms among healthcare professionals are significantly influenced by psychosocial work context, Ethiopia: A cross-sectional analysis. PLoS ONE 2020 Sep 18;15(9).
Conversano C, Marchi, L, Miniati, M. Psychological distress among healthcare professionals involved in the COVID-19 emergency: Vulnerability and resilience factors. Clin. Neuropsychiatry: Journal of Treatment Evaluation. 2020 Apr;17(2):94-6.
Fox S, Lydon S, Byrne D, Madden C, Connolly F, O'Connor P. A systematic review of interventions to foster physician resilience. Postgrad Med J. 2018 Mar;94(1109):162-70.
Heath C, Sommerfield A, Von Ungern-Sternberg BS. Resilience strategies to manage psychological distress among healthcare workers during the COVID-19 pandemic: A narrative review. Anaesthesia. 2020 Jun 13;75(10):1364–71.
Folkman S, Lazarus RS. Coping as a mediator of emotion. J Pers Soc Psychol. 1988 Mar;54(3):466-75.
Shechter A, Diaz F, Moise N, Anstey DE, Ye S, Agarwal S, et al. Psychological distress, coping behaviors, and preferences for support among New York healthcare workers during the COVID-19 pandemic. Gen. Hosp. Psychiatry. 2020 Oct;66:1-8.
Moberg DO. Assessing and Measuring Spirituality: Confronting Dilemmas of Universal and Particular Evaluative Criteria. J. Adult Dev. 2002 Jan;9, 47–60.
Kang L, Li Y, Hu S, Chen M, Yang C, Yang BX, et al. The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. Lancet Psychiat. 2020;7(3):e14
Kim HS, Yeom HA. The association between spiritual well-being and burnout in intensive care unit nurses: a descriptive study. Intensive Crit Care Nurs. 2018 Jun;46:92–7.
Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand S-L, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–76.
Yaghubi H. Psychometric Properties of the 10 Questions Version of Kessler Psychological Distress Scale (K-10). Appl Psychol Res Q. 2015;6(4):45-57.
Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med. 2008;15(3):194-200.
Kashani V, Najafi T. The Brief Scale of Resilience in Disabled and Veteran Athletes; Psychometric Properties of the Persian Version. Publish System. 2016;8(1):49-55.
Hamby S, Grych J, Banyard V. Life Paths measurement packet: Finalized scales. Life Paths Research Program. 2015.
Dehshiri GR, Sohrabi F, Jafari I, NAJAFI M. A survey of psychometric properties of spiritual well-being scale among university students. Psychol Studies. 2008;4(3);129-44.
Soper DS. A-priori sample size calculator for structural equation models [Software]; 2021 [accessed 28 October 2020]. Available from https://www.danielsoper.com/statcalc
Cohen J, Cohen P, West SG, Aiken LS. Applied multiple regression. Correlation Analysis for the Behavioral Sciences. 1983;2.
Chou CP, Bentler PM. Estimates and tests in structural equation modeling. 1995.
Kline RB. Principles and practice of structural equation modeling: Guilford publications; 2015.
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