Mental Health Status of Healthcare Professionals and Students of Health Sciences Faculties in Kuwait during the COVID-19 Pandemic
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area and Design
2.2. Study Population
2.3. Study Questionnaires
2.4. Data Analysis
3. Results
3.1. Participants Characteristics
3.2. Prevalence of Depression and Anxiety
3.3. Comparison of Depression and Anxiety Scores across Different Characteristics of Respondents
3.4. Factors Independently Associated with the Increased Levels of Mental Health Burden
4. Discussion
4.1. Mental Health Status of HCPs
4.2. Factors Associated with Depression and Anxiety among HCPs
4.3. Factors Contributed to the Mental Health Status of HSCUs
4.4. Implications for Future and Practice
4.5. Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- World Health Organization. Coronavirus (COVID-19). Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed on 15 August 2020).
- Wang, Y.; Di, Y.; Ye, J.; Wei, W. Study on the public psychological states and its related factors during the outbreak of coronavirus disease 2019 (COVID-19) in some regions of China. Psychol. Health Med. 2021, 26, 13–22. [Google Scholar] [CrossRef] [Green Version]
- Prem, K.; Liu, Y.; Russell, T.W.; Kucharski, A.J.; Eggo, R.M.; Davies, N.; Jit, M.; Klepac, P.; Flasche, S.; Clifford, S.; et al. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: A modelling study. Lancet Public Health 2020, 5, e261–e270. [Google Scholar] [CrossRef] [Green Version]
- Ministry of Health (MOH). COVID 19 Updates, State of Kuwait. 2020. Available online: https://corona.e.gov.kw/En (accessed on 1 February 2021).
- Ministry of Health (MOH). Annual Health Report. Department of Health Information and Medical Records. Ministry of Health Kuwait. 2014. Available online: https://mussaad.medium.com/kuwait-2020-health-report-5d62412ad05a (accessed on 17 October 2020).
- Dubey, S.; Biswas, P.; Ghosh, R.; Chatterjee, S.; Dubey, M.J.; Chatterjee, S.; Lahiri, D.; Lavie, C.J. Psychosocial impact of COVID-19. Diabetes Metab. Syndr. Clin. Res. Rev. 2020, 14, 779–788. [Google Scholar] [CrossRef]
- Maunder, R.; Hunter, J.; Vincent, L.; Bennett, J.; Peladeau, N.; Leszcz, M.; Sadavoy, J.; Verhaeghe, L.M.; Steinberg, R.; Mazzulli, T. The immediate psychological and occupational impact of the 2003 SARS outbreak in a teaching hospital. CMAJ 2003, 168, 1245–1251. Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC154178/ (accessed on 19 December 2020).
- Wu, P.; Fang, Y.; Guan, Z.; Fan, B.; Kong, J.; Yao, Z.; Liu, X.; Fuller, C.J.; Susser, E.; Lu, J.; et al. The Psychological Impact of the SARS Epidemic on Hospital Employees in China: Exposure, Risk Perception, and Altruistic Acceptance of Risk. Can. J. Psychiatry 2009, 54, 302–311. [Google Scholar] [CrossRef]
- Greenberg, N.; Docherty, M.; Gnanapragasam, S.; Wessely, S. Managing mental health challenges faced by healthcare workers during covid-19 pandemic. BMJ 2020, 368, m1211. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cao, W.; Fang, Z.; Hou, G.; Han, M.; Xu, X.; Dong, J.; Zheng, J. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 2020, 287, 112934. [Google Scholar] [CrossRef]
- Chen, Q.; Liang, M.; Li, Y.; Guo, J.; Fei, D.; Wang, L.; He, L.; Sheng, C.; Cai, Y.; Li, X.; et al. Mental health care for medical staff in China during the COVID-19 outbreak. Lancet Psychiatry 2020, 7, e15–e16. [Google Scholar] [CrossRef]
- Huang, Y.; Zhao, N. Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: A web-based cross-sectional survey. Psychiatry Res. 2020, 288, 112954. [Google Scholar] [CrossRef] [PubMed]
- Zhai, Y.; Du, X. Mental health care for international Chinese students affected by the COVID-19 outbreak. Lancet Psychiatry 2020, 7, e22. [Google Scholar] [CrossRef]
- Burhamah, W.; AlKhayyat, A.; Oroszlányová, M.; AlKenane, A.; Almansouri, A.; Behbehani, M.; Karimi, N.; Jafar, H.; AlSuwaidan, M. The psychological burden of the COVID-19 pandemic and associated lockdown measures: Experience from 4000 participants. J. Affect. Disord. 2020, 277, 977–985. [Google Scholar] [CrossRef]
- Al-Sayegh, N.; Al-Enezi, K.; Nadar, M.; Dean, E. Health Status, Behaviors, and Beliefs of Health Sciences Students and Staff at Kuwait University: Toward Maximizing the Health of Future Health Professionals and Their Patients. Int. J. Environ. Res. Public Health 2020, 17, 8776. [Google Scholar] [CrossRef] [PubMed]
- World Population Review, ed 36. State of Kuwait: General Statistics Bureau World Population Prospects (2020 Revision). United Nations Population Estimates and Projections. Available online: https://worldpopulationreview.com/countries/kuwait-population/ (accessed on 31 December 2020).
- Lachenbruch, P.A.; Lwanga, S.K.; Lemeshow, S. Sample Size Determination in Health Studies: A Practical Manual; World Health Organization: Geneva, Switzerland, 1991; Available online: https://apps.who.int/iris/bitstream/handle/10665/40062/9241544058_%28p23-p80%29.pdf?sequence=2&isAllowed=y (accessed on 11 June 2020).
- Al-Fadhala, T.; Elmir, H.; Helmy, H.Z. Culture and quality in Government General Hospitals in Kuwait: Multi-method Study of their Association with the Transformational Leadership. MedRxiv 2020. [Google Scholar] [CrossRef]
- Martin, A.; Rief, W.; Klaiberg, A.; Braehler, E. Validity of the Brief Patient Health Questionnaire Mood Scale (PHQ-9) in the general population. Gen. Hosp. Psychiatry 2006, 28, 71–77. [Google Scholar] [CrossRef] [PubMed]
- Löwe, B.; Decker, O.; Müller, S.; Brähler, E.; Schellberg, D.; Herzog, W.; Herzberg, P.Y. Validation and Standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the General Population. Med. Care 2008, 46, 266–274. [Google Scholar] [CrossRef]
- Yoon, S.; Lee, Y.; Han, C.; Pae, C.-U.; Yoon, H.-K.; Patkar, A.A.; Steffens, D.C.; Kim, Y.-K. Usefulness of the Patient Health Questionnaire-9 for Korean Medical Students. Acad. Psychiatry 2014, 38, 661–667. [Google Scholar] [CrossRef]
- Maurer, D.M.; Raymond, T.J.; Davis, B.N. Depression: Screening and Diagnosis. Am. Fam. Physician 2018, 98, 508–515. [Google Scholar]
- Kroenke, K.; Spitzer, R.L.; Williams, J.B.W. The PHQ-9: Validity of a brief depression severity measure. J. Gen. Intern. Med. 2001, 16, 606–613. [Google Scholar] [CrossRef]
- Hinz, A.; Mehnert, A.; Kocalevent, R.-D.; Brähler, E.; Forkmann, T.; Singer, S.; Schulte, T. Assessment of depression severity with the PHQ-9 in cancer patients and in the general population. BMC Psychiatry 2016, 16, 1–8. [Google Scholar] [CrossRef] [Green Version]
- Ma, T.J.H.; Ma, M.F.; Johansen, C.; Wittchen, H.-U.; Faller, H.; Koch, U.; Brähler, E.; Härter, M.; Keller, M.; Schulz, H.; et al. The Hospital Anxiety and Depression Scale (HADS) and the 9-item Patient Health Questionnaire (PHQ-9) as screening instruments for depression in patients with cancer. Cancer 2017, 123, 4236–4243. [Google Scholar] [CrossRef]
- Schwenk, T.; Terrell, L.; Harrison, R.; Tremper, A.; Valenstein, M.; Bostwick, J. UMHS Depression Guideline. Guidel. Clin. Care Ambul. 2011, 1–15. Available online: http://www.med.umich.edu/1info/FHP/practiceguides/depress/depress05.pdf (accessed on 2 November 2020).
- Esser, P.; Hartung, T.J.; Friedrich, M.; Johansen, C.; Wittchen, H.-U.; Faller, H.; Koch, U.; Härter, M.; Keller, M.; Schulz, H.; et al. The Generalized Anxiety Disorder Screener (GAD-7) and the anxiety module of the Hospital and Depression Scale (HADS-A) as screening tools for generalized anxiety disorder among cancer patients. Psycho Oncol. 2018, 27, 1509–1516. [Google Scholar] [CrossRef]
- Kroenke, K.; Spitzer, R.L.; Williams, J.B.; Monahan, P.O.; Löwe, B. Anxiety Disorders in Primary Care: Prevalence, Impairment, Comorbidity, and Detection. Ann. Intern. Med. 2007, 146, 317–325. [Google Scholar] [CrossRef]
- Spitzer, R.L.; Kroenke, K.; Williams, J.B.W.; Löwe, B. A Brief Measure for Assessing Generalized Anxiety Disorder. Arch. Intern. Med. 2006, 166, 1092–1097. [Google Scholar] [CrossRef] [Green Version]
- Koh, D.; Lim, M.; Chia, S. SARS: Health care work can be hazardous to health. Occup. Med. 2003, 53, 241–243. [Google Scholar] [CrossRef] [Green Version]
- Tam, C.W.C.; Pang, E.P.F.; Lam, L.C.W.; Chiu, H.F.K. Severe acute respiratory syndrome (SARS) in Hong Kong in 2003: Stress and psychological impact among frontline healthcare workers. Psychol. Med. 2004, 34, 1197–1204. [Google Scholar] [CrossRef]
- Wilson, N.; Baker, M.; Crampton, P.; Mansoor, O. The potential impact of the next influenza pandemic on a national primary care medical workforce. Hum. Resour. Health 2005, 3, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- McAlonan, G.M.; Lee, A.M.; Cheung, V.; Cheung, C.; Tsang, K.W.T.; Sham, P.C.; Chua, S.E.; Wong, J.G.W.S. Immediate and Sustained Psychological Impact of an Emerging Infectious Disease Outbreak on Health Care Workers. Can. J. Psychiatry 2007, 52, 241–247. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wong, T.W.; Yau, J.K.; Chan, C.L.; Kwong, R.S.; Ho, S.M.; Lau, C.C.; Lau, F.L.; Lit, C.H. The psychological impact of severe acute respiratory syndrome outbreak on healthcare workers in emergency departments and how they cope. Eur. J. Emerg. Med. 2005, 12, 13–18. [Google Scholar] [CrossRef]
- Li, L.; Wan, C.; Ding, R.; Liu, Y.; Chen, J.; Wu, Z.; Liang, C.; He, Z.; Li, C. Mental distress among Liberian medical staff working at the China Ebola Treatment Unit: A cross sectional study. Health Qual. Life Outcomes 2015, 13, 156. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Alsubaie, S.; Temsah, M.H.; Al-Eyadhy, A.A.; Gossady, I.; Hasan, G.M.; Al-Rabiaah, A.; Jamal, A.A.; Alhaboob, A.A.; Alsohime, F.; Somily, A.M. Middle East Respiratory Syndrome Coronavirus epidemic impact on healthcare workers’ risk perceptions, work and personal lives. J. Infect. Dev. Ctries. 2019, 13, 920–926. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chen, Y.; Zhou, H.; Zhou, Y.; Zhou, F. Prevalence of self-reported depression and anxiety among pediatric medical staff members during the COVID-19 outbreak in Guiyang, China. Psychiatry Res. 2020, 288, 113005. [Google Scholar] [CrossRef]
- Temsah, M.-H.; Al-Sohime, F.; Alamro, N.; Al-Eyadhy, A.; Al-Hasan, K.; Jamal, A.; Al-Maglouth, I.; Aljamaan, F.; Al Amri, M.; Barry, M.; et al. The psychological impact of COVID-19 pandemic on health care workers in a MERS-CoV endemic country. J. Infect. Public Health 2020, 13, 877–882. [Google Scholar] [CrossRef]
- Leblanc, V.R. The Effects of Acute Stress on Performance: Implications for Health Professions Education. Acad. Med. 2009, 84 (Suppl. 10), S25–S33. [Google Scholar] [CrossRef] [PubMed]
- Mei, S.L.; Yu, J.X.; He, B.W.; Li, J.Y. Psychological investigation of university students in a university in Jilin province. Med. Soc. 2011, 24, 84–86. [Google Scholar]
- Nakhostin-Ansari, A.; Sherafati, A.; Aghajani, F.; Khonji, M.S.; Aghajani, R.; Shahmansouri, N. Depression and Anxiety among Iranian Medical Students during COVID-19 Pandemic. Iran. J. Psychiatry 2020, 15, 228–235. [Google Scholar] [CrossRef]
- Imai, T.; Takahashi, K.; Hasegawa, N.; Lim, M.-K.; Koh, D.; Hoshuyama, T. SARS risk perceptions in healthcare workers, Japan. Emerg. Infect. Dis. 2005, 11, 404–410. [Google Scholar]
- Koh, D.; Lim, M.K.; Chia, S.E.; Ko, S.M.; Qian, F.; Ng, V.; Tan, B.H.; Wong, K.S.; Chew, W.M.; Tang, H.K.; et al. Risk Perception and Impact of Severe Acute Respiratory Syndrome (SARS) on Work and Personal Lives of Healthcare Workers in Singapore: What can we learn? Med. Care 2005, 43, 676–682. [Google Scholar] [CrossRef] [PubMed]
- Goulia, P.; Mantas, C.; Dimitroula, D.; Mantis, D.; Hyphantis, T. General hospital staff worries, perceived sufficiency of information and associated psychological distress during the A/H1N1 influenza pandemic. BMC Infect. Dis. 2010, 10, 322. [Google Scholar] [CrossRef] [Green Version]
- Barry, M.; Al Amri, M.; Memish, Z.A. COVID-19 in the Shadows of MERS-CoV in the Kingdom of Saudi Arabia. J. Epidemiol. Glob. Health 2020, 10, 1–3. [Google Scholar] [CrossRef] [Green Version]
- Lai, J.; Ma, S.; Wang, Y.; Cai, Z.; Hu, J.; Wei, N.; Wu, J.; Du, H.; Chen, T.; Li, R.; et al. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw. Open 2020, 3, e203976. [Google Scholar] [CrossRef]
- Badahdah, A.; Khamis, F.; Al Mahyijari, N.; Al Balushi, M.; Al Hatmi, H.; Al Salmi, I.; Albulushi, Z.; Al Noomani, J. The mental health of health care workers in Oman during the COVID-19 pandemic. Int. J. Soc. Psychiatry 2020, 0020764020939596. [Google Scholar] [CrossRef]
- Suryavanshi, N.; Kadam, A.; Dhumal, G.; Nimkar, S.; Mave, V.; Gupta, A.; Cox, S.R.; Gupte, N. Mental health and quality of life among healthcare professionals during the COVID-19 pandemic in India. Brain Behav. 2020, 10, 01837. [Google Scholar] [CrossRef]
- Naser, A.; Dahmash, E.; Al Rousan, R.; Alwafi, H.; Alrawashdeh, H.; Ghoul, I.; Abidine, A.; Bokhary, M.; Al-Hadithi, H.; Ali, D.; et al. Mental health status of the general population, healthcare professionals, and university students during 2019 coronavirus disease out-break in Jordan: A cross-sectional study. Brain Behav. 2020, 10, e01730. [Google Scholar] [CrossRef] [PubMed]
- Rossi, R.; Socci, V.; Pacitti, F.; Di Lorenzo, G.; Di Marco, A.; Siracusano, A.; Rossi, A. Mental Health Outcomes Among Frontline and Second-Line Health Care Workers During the Coronavirus Disease 2019 (COVID-19) Pandemic in Italy. JAMA Netw. Open 2020, 3, e2010185. [Google Scholar] [CrossRef]
- Su, T.-P.; Lien, T.-C.; Yang, C.-Y.; Su, Y.L.; Wang, J.-H.; Tsai, S.-L.; Yin, J.-C. Prevalence of psychiatric morbidity and psychological adaptation of the nurses in a structured SARS caring unit during outbreak: A prospective and periodic assessment study in Taiwan. J. Psychiatr. Res. 2007, 41, 119–130. [Google Scholar] [CrossRef] [PubMed]
- Kim, J.Y.; Song, J.Y.; Yoon, Y.K.; Choi, S.-H.; Song, Y.G.; Kim, S.-R.; Son, H.-J.; Jeong, S.-Y.; Choi, J.-H.; Kim, K.M.; et al. Middle East Respiratory Syndrome Infection Control and Prevention Guideline for Healthcare Facilities. Infect. Chemother. 2015, 47, 278–302. [Google Scholar] [CrossRef] [PubMed]
- Jeong, H.; Yim, H.W.; Song, Y.-J.; Ki, M.; Min, J.-A.; Cho, J.; Chae, J.-H. Mental health status of people isolated due to Middle East Respiratory Syndrome. Epidemiol. Health 2016, 38, e2016048. [Google Scholar] [CrossRef]
- Ahmed, M.Z.; Ahmed, O.; Aibao, Z.; Hanbin, S.; Siyu, L.; Ahmad, A. Epidemic of COVID-19 in China and associated Psychological Problems. Asian J. Psychiatry 2020, 51, 102092. [Google Scholar] [CrossRef]
- Cole, A. Two thirds of doctors in UK say the NHS could not cope with bird flu epidemic. BMJ 2006, 333, 674. [Google Scholar] [CrossRef] [Green Version]
- Khan, M.U.; Shah, S.; Ahmad, A.; Fatokun, O. Knowledge and attitude of healthcare workers about middle east respiratory syndrome in multispecialty hospitals of Qassim, Saudi Arabia. BMC Public Health 2014, 14, 1281. [Google Scholar] [CrossRef] [Green Version]
- Zhang, W.-R.; Wang, K.; Yin, L.; Zhao, W.-F.; Xue, Q.; Peng, M.; Min, B.-Q.; Tian, Q.; Leng, H.-X.; Du, J.-L.; et al. Mental Health and Psychosocial Problems of Medical Health Workers during the COVID-19 Epidemic in China. Psychother. Psychosom. 2020, 89, 242–250. [Google Scholar] [CrossRef] [PubMed]
- Bartels, M.; Cacioppo, J.T.; Van Beijsterveldt, T.C.E.M.; Boomsma, D.I. Exploring the Association between Well-Being and Psychopathology in Adolescents. Behav. Genet. 2013, 43, 177–190. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Albert, P.R. Why is depression more prevalent in women? J. Psychiatry Neurosci. 2015, 40, 219–221. [Google Scholar] [CrossRef]
- Cornine, A. Reducing Nursing Student Anxiety in the Clinical Setting: An Integrative Review. Nurs. Educ. Perspect. 2020, 41, 229–234. [Google Scholar] [CrossRef] [PubMed]
- Xiao, C. A Novel Approach of Consultation on 2019 Novel Coronavirus (COVID-19)-Related Psychological and Mental Problems: Structured Letter Therapy. Psychiatry Investig. 2020, 17, 175–176. [Google Scholar] [CrossRef] [Green Version]
- Kmietowicz, Z. Rules on isolation rooms for suspected covid-19 cases in GP surgeries to be relaxed. BMJ 2020, 368, m707. [Google Scholar] [CrossRef] [Green Version]
- Tang, B.; Bragazzi, N.L.; Li, Q.; Tang, S.; Xiao, Y.; Wu, J. An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov). Infect. Dis. Model. 2020, 5, 248–255. [Google Scholar] [CrossRef]
- Liu, H.; Chen, S.; Liu, M.; Nie, H.; Lu, H. Comorbid Chronic Diseases are Strongly Correlated with Disease Severity among COVID-19 Patients: A Systematic Review and Meta-Analysis. Aging Dis. 2020, 11, 668–678. [Google Scholar] [CrossRef]
- Gentili, D.; Bardin, A.; Ros, E.; Piovesan, C.; Ramigni, M.; Dalmanzio, M.; Dettori, M.; Filia, A.; Cinquetti, S. Impact of Communication Measures Implemented During a School Tuberculosis Outbreak on Risk Perception among Parents and School Staff, Italy, 2019. Int. J. Environ. Res. Public Health 2020, 17, 911. [Google Scholar] [CrossRef] [Green Version]
- Woodgate, R.L.; Tailor, K.; Tennent, P.; Wener, P.; Altman, G. The experience of the self in Canadian youth living with anxiety: A qualitative study. PLoS ONE 2020, 15, e0228193. [Google Scholar] [CrossRef]
- Moreno, E.; Muñoz-Navarro, R.; Medrano, L.A.; González-Blanch, C.; Ruiz-Rodríguez, P.; Limonero, J.T.; Moretti, L.S.; Cano-Vindel, A.; Moriana, J.A. Factorial invariance of a computerized version of the GAD-7 across various demographic groups and over time in primary care patients. J. Affect. Disord. 2019, 252, 114–121. [Google Scholar] [CrossRef] [PubMed]
- Aiello, A.; Khayeri, M.Y.-E.; Raja, S.; Peladeau, N.; Romano, D.; Leszcz, M.; Maunder, R.G.; Rose, M.; Adam, M.A.; Pain, C.; et al. Resilience Training for Hospital Workers in Anticipation of an Influenza Pandemic. J. Contin. Educ. Health Prof. 2011, 31, 15–20. [Google Scholar] [CrossRef] [PubMed]
- Chung, B.P.M.; Wong, T.K.S.; Suen, E.S.B.; Chung, J.W.Y. SARS: Caring for patients in Hong Kong. J. Clin. Nurs. 2005, 14, 510–517. [Google Scholar] [CrossRef]
- Bai, Y.X.; Gegan, T.; Hai, H.; Liu, Z.H.; Wang, W.R.; Wang, Z.G. Correlation between psychological changes of the community crowd and the social support in grave public health event. Inner Mong. Med. J. 2005, 37, 295–297. [Google Scholar]
Characteristics | Overall (n = 857) Frequency (%) | HCPs (n = 559) Frequency (%) | HSCUs (n = 298) Frequency (%) |
---|---|---|---|
Gender | |||
Males | 224 (26.1) | 193 (34.5) | 31 (10.4) |
Females | 633 (73.9) | 366 (65.5) | 267 (89.6) |
Age (Years) for HCPs | |||
18–29 | 128 (22.9) | 128 (22.9) | |
30–49 | 355 (63.5) | 355 (63.5) | |
≥50 | 76 (13.6) | 76 (13.6) | |
Age (Years) for HSCUs | |||
18–29 | 289 (97.0) | 289 (97.0) | |
>29 | 9 (3.0) | 9 (3.0) | |
Marital status | |||
Single | 410 (47.8) | 148 (26.5) | 262 (87.9) |
Married | 425 (49.6) | 393 (70.3) | 32 (10.7) |
Divorced/Widowed | 22 (2.6) | 18 (3.2) | 4 (1.4) |
Stage of study for HSCUs | |||
Early years | 100 (33.6) | 100 (33.6) | |
Middle years | 143 (48.0) | 143 (48.0) | |
Final years | 55 (18.4) | 55 (18.4) | |
Monthly income for HCPs | |||
Low (<1000 KWD) | 175 (31.3) | 175 (31.3) | |
Medium (1000–1500 KWD) | 117 (20.9) | 117 (20.9) | |
High (>1500 KWD) | 267 (47.8) | 267 (47.8) | |
Specialty for HCPs | |||
Physicians | 213 (38.1) | 213 (38.1) | |
Pharmacists | 189 (33.8) | 189 (33.8) | |
Nurses | 30 (5.4) | 30 (5.4) | |
Allied health professionals | 127 (22.7) | 127 (22.7) | |
Chronic disease history for HSCUs | |||
Yes | 46 (15.4) | 46 (15.4) | |
No | 252 (84.6) | 252 (84.6) | |
In direct contact with COVID-19 patients for HCPs | |||
Yes | 478 (85.5) | 478 (85.5) | |
No | 81 (14.5) | 81 (14.5) | |
Worried about being infected with COVID-19 or transmitting it to family members | |||
Yes | 549 (64.1) | 503 (90.0) | 46 (15.4) |
No | 308 (35.9) | 56 (10.0) | 252 (84.6) |
Levels of Depression and Anxiety | Overall (n = 857) Frequency (%) | HCPs (n = 559) Frequency (%) | HSCUs (n = 298) Frequency (%) |
---|---|---|---|
Depression assessment No. (%) | |||
Minimal depression | 17 (2.0) | 0 | 17 (5.7) |
Mild depression | 27 (3.2) | 23 (4.1) | 4 (1.3) |
Moderate depression | 242 (28.2) | 180 (32.2) | 62 (20.8) |
Moderately severe depression | 301 (35.1) | 199 (35.6) | 102 (34.2) |
Severe depression | 270 (31.5) | 157 (28.1) | 113 (38.0) |
Anxiety assessment No. (%) | |||
Minimal anxiety | 0 | 0 | 0 |
Mild anxiety | 153 (17.8) | 109 (19.5) | 44 (14.8) |
Moderate anxiety | 390 (45.5) | 241 (43.1) | 149 (50.0) |
Severe anxiety | 314 (36.7) | 209 (37.4) | 105 (35.2) |
Variable | Depression Score | Anxiety Score | ||||
---|---|---|---|---|---|---|
Median | IQR | p-Value | Median | IQR | p-Value | |
Population | ||||||
HCPs | 17.00 | 8.00 | 0.006 | 14.00 | 7.00 | 0.143 |
HSCUs | 20.00 | 11.50 | 13.00 | 8.00 | ||
Gender | ||||||
Males | 15.00 | 8.00 | <0.001 | 12.00 | 8.00 | <0.001 |
Females | 18.00 | 9.00 | 14.00 | 7.00 | ||
Age (Years) for HCPs | ||||||
18–29 | 19.00 | 10.00 | 0.000 | 13.00 | 7.75 | 0.669 |
30–49 | 17.00 | 8.25 | 14.00 | 7.00 | ||
≥50 | 15.00 | 8.20 | 12.00 | 10.00 | ||
Age (Years) for HSCUs | ||||||
18–29 | 20.00 | 11.75 | 0.001 | 13.00 | 8.00 | 0.661 |
>29 | 18.00 | 11.70 | 12.00 | 8.75 | ||
Marital status | ||||||
Single | 19.00 | 10.00 | 0.085 | 13.00 | 8.00 | 0.716 |
Married | 17.00 | 9.00 | 14.00 | 8.00 | ||
Divorced/Widowed | 18.00 | 13.00 | 14.00 | 9.00 | ||
Stage of study for HSCUs | ||||||
Early years | 19.5 | 10.50 | 0.917 | 14.00 | 8.00 | 0.754 |
Middle years | 21.00 | 12.00 | 16.00 | 11.00 | ||
Final years | 18.00 | 7.75 | 14.00 | 8.75 | ||
Monthly income for HCPs | ||||||
Low (<1000 KWD) | 18.00 | 10.00 | 0.195 | 13.50 | 7.25 | 0.696 |
Medium (1000–1500 KWD) | 18.00 | 10.00 | 14.00 | 7.00 | ||
High (>1500 KWD) | 17.00 | 9.25 | 14.00 | 8.00 | ||
Specialty for HCPs | ||||||
Physicians | 18.00 | 10.00 | 0.326 | 13.00 | 7.00 | 0.631 |
Pharmacists | 17.00 | 8.00 | 14.00 | 8.00 | ||
Nurses | 18.00 | 8.50 | 13.00 | 7.75 | ||
Allied health professionals professional | 18.00 | 9.00 | 14.00 | 8.00 | ||
Chronic disease history for HSCUs | ||||||
Yes | 23.50 | 8.00 | 0.018 | 16.50 | 2.75 | 0.017 |
No | 18.00 | 10.00 | 12.00 | 7.00 | ||
Worried about being infected with COVID-19 or transmitting it to family members | ||||||
Yes | 16.00 | 8.00 | 0.809 | 14.00 | 7.00 | 0.650 |
No | 15.50 | 6.75 | 13.00 | 9.50 |
Variable | OR (95% CI) for Depression | OR (95% CI) for Anxiety |
---|---|---|
Gender | ||
Males (Reference) | 1.00 | 1.00 |
Females | 1.98 (1.34–2.95) (p < 0.01) | 1.45 (0.97–2.18) |
Age (Years) | ||
<50 (Reference) | 1.00 | 1.00 |
≥50 | 0.54 (0.32–0.92) (p = 0.001) | 0.86 (0.49–1.50) |
Marital status | ||
Single (Reference) | 1.00 | 1.00 |
Married | 0.89 (0.59–1.35) | 0.81 (0.54–1.22) |
Divorced/Widowed | 1.15 (0.39–3.43) | 1.71 (0.63–4.64) |
Monthly income | ||
Low (<1000 KWD) (Reference) | 1.00 | 1.00 |
Medium (1000–1500 KWD) | 1.39 (0.86–2.24) | 1.30 (0.82–2.05) |
High (>1500 KWD) | 0.85 (0.58–1.24) | 0.88 (0.60–1.29) |
In direct contact with patients and provided medical care during COVID-19 pandemic | ||
Yes (Reference) | 1.00 | 1.00 |
No | 0.56 (0.33–0.96) (p = 0.033) | 0.95 (0.55–1.63) |
Specialty | ||
Physicians (Reference) | 1.00 | 1.00 |
Pharmacists | 1.11 (0.75–1.66) | 1.03 (0.69–1.54) |
Nurses | 1.09 (0.47–2.50) | 0.98 (0.44–2.20) |
Allied health professionals | 1.34 (0.83–2.16) | 1.26 (0.80–1.97) |
Variable | OR (95%CI) for Depression | OR (95%CI) for Anxiety |
---|---|---|
Gender | ||
Males (Reference) | 1.00 | 1.00 |
Females | 1.80 (0.85–3.83) (p < 0.01) | 2.23 (0.83–6.00) |
Age (Years) | ||
18–29 | 1.00 | 1.00 |
>29 | 0.26 (0.15–0.44) (p = 0.001) | 0.43 (0.23–0.70) |
Marital status | ||
Single (Reference) | 1.00 | 1.00 |
Married | 0.92 (0.44–1.91) | 0.98 (0.43–2.21) |
Divorced/Widowed | 0.82 (0.05–13.17) | - |
Stage of study | ||
Early years (Reference) * | 1.00 | 1.00 |
Middle years * | 1.09 (0.96–1.73) | 1.18 (0.71–1.96) |
Final years * | 0.88 (0.55–1.43) | 1.04 (0.61–1.76) |
Chronic disease history | ||
Yes (Reference) | 1.00 | 1.00 |
No | 0.55 (1.03–1.94) (p = 0.018) | 0.71 (0.36–1.38) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Alsairafi, Z.; Naser, A.Y.; Alsaleh, F.M.; Awad, A.; Jalal, Z. Mental Health Status of Healthcare Professionals and Students of Health Sciences Faculties in Kuwait during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 2203. https://doi.org/10.3390/ijerph18042203
Alsairafi Z, Naser AY, Alsaleh FM, Awad A, Jalal Z. Mental Health Status of Healthcare Professionals and Students of Health Sciences Faculties in Kuwait during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2021; 18(4):2203. https://doi.org/10.3390/ijerph18042203
Chicago/Turabian StyleAlsairafi, Zahra, Abdallah Y. Naser, Fatemah M. Alsaleh, Abdelmoneim Awad, and Zahraa Jalal. 2021. "Mental Health Status of Healthcare Professionals and Students of Health Sciences Faculties in Kuwait during the COVID-19 Pandemic" International Journal of Environmental Research and Public Health 18, no. 4: 2203. https://doi.org/10.3390/ijerph18042203
APA StyleAlsairafi, Z., Naser, A. Y., Alsaleh, F. M., Awad, A., & Jalal, Z. (2021). Mental Health Status of Healthcare Professionals and Students of Health Sciences Faculties in Kuwait during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(4), 2203. https://doi.org/10.3390/ijerph18042203