The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
The Impact of COVID-19 on Healthcare Worker Wellness: A Scoping Review
Open accessAbstract
At the heart of the unparalleled crisis of COVID-19, healthcare workers (HCWs) face several challenges treating patients with COVID-19: reducing the spread of infection; developing suitable short-term strategies; and formulating long-term plans. The psychological burden and overall wellness of HCWs has received heightened awareness in news and research publications. The purpose of this study was to provide a review on current publications measuring the effects of COVID-19 on wellness of healthcare providers to inform interventional strategies. Between April 6-May 17, 2020, we conducted systematic searches using combinations of these keywords and synonyms in conjunction with the controlled vocabulary of the database: "physician," "wellness, "wellbeing," "stress," "burnout," "COVID-19," and "SARS-CoV-2." We excluded articles without original data, research studies regarding the wellness of non-healthcare occupations or the general public exclusively, other outbreaks, or wellness as an epidemic. A total of 37 studies were included in this review. The review of literature revealed consistent reports of stress, anxiety, and depressive symptoms in HCWs as a result of COVID-19. We describe published data on HCW distress and burnout but urge future research on strategies to enhance HCW well-being.
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Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N., Wu, J., Du, H., Chen, T., Li, R., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.3976 · Cited by 8,015
Huang, Y., & Zhao, N. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112954 · Cited by 3,736
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. (2020) · Psychotherapy and Psychosomatics · doi:10.1159/000507639 · Cited by 1,690
Chew, N. W. S., Lee, G. K. H., Tan, B. Y. Q., Jing, M., Goh, Y., Ngiam, N. J. H., Yeo, L. L. L., Ahmad, A., Ahmed Khan, F., Napolean Shanmugam, G., et al. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.04.049 · Cited by 1,650
The experiences of health-care providers during the COVID-19 crisis in China: a qualitative study
Liu, Q., Luo, D., Haase, J. E., Guo, Q., Wang, X. Q., Liu, S., Xia, L., Liu, Z., Yang, J., & Yang, B. X. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30204-7 · Cited by 1,552
Kang, L., Ma, S., Chen, M., Yang, J., Wang, Y., Li, R., Yao, L., Bai, H., Cai, Z., Xiang Yang, B., et al. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.03.028 · Cited by 1,516
Xiao, H., Zhang, Y., Kong, D., Li, S., & Yang, N. (2020) · Medical Science Monitor · doi:10.12659/msm.923549 · Cited by 1,385
A qualitative study on the psychological experience of caregivers of COVID-19 patients
Sun, N., Wei, L., Shi, S., Jiao, D., Song, R., Ma, L., Wang, H., Wang, C., Wang, Z., You, Y., et al. (2020) · American Journal of Infection Control · doi:10.1016/j.ajic.2020.03.018 · Cited by 1,287
Psychological impact of the COVID-19 pandemic on health care workers in Singapore
Tan, B. Y. Q., Chew, N. W. S., Lee, G. K. H., Jing, M., Goh, Y., Yeo, L. L. L., Zhang, K., Chin, H.-K., Ahmad, A., Khan, F. A., et al. (2020) · Annals of Internal Medicine · doi:10.7326/m20-1083 · Cited by 1,279
Psychological status of medical workforce during the COVID-19 pandemic: A cross-sectional study
Lu, W., Wang, H., Lin, Y., & Li, L. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112936 · Cited by 1,257
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Positive psychology in a pandemic: buffering, bolstering, and building mental health
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“Three notable examples of how positive psychology factors help in bad times include: (1) Shoshani and Slone (2016) study of the moderating role that character strengths play in the relationship between political violence and PTSD for young people exposed to lengthy periods of war and political conflict; (2) Emmons and…”
BackgroundInfluentialHanna, J. R., Rapa, E., Dalton, L. J., Hughes, R., Quarmby, L. M., McGlinchey, T., Donnellan, W. J., Bennett, K. M., Mayland, C. R., & Mason, S. R. (2021) · Palliative Medicine · doi:10.1177/02692163211017808 · Cited by 95
Mercado, M., Wachter, K., Schuster, R. C., Mathis, C. M., Johnson, E., Davis, O. I., & Johnson‐Agbakwu, C. E. (2022) · Health & Social Care in the Community · doi:10.1111/hsc.13712 · Cited by 76
Bradshaw, A., Dunleavy, L., Garner, I., Preston, N., Bajwah, S., Cripps, R., Fraser, L. K., Maddocks, M., Hocaoglu, M., Murtagh, F. E., et al. (2022) · Journal of the Royal Society of Medicine · doi:10.1177/01410768221077366 · Cited by 51
“Time worked in current position (months) mean/range 93 months (12-240) 14.”
Personalized Machine Learning-Based Prediction of Wellbeing and Empathy in Healthcare Professionals
Nan, J., Herbert, M. S., Purpura, S., Henneken, A. N., Ramanathan, D., & Mishra, J. (2024) · Sensors · doi:10.3390/s24082640 · Cited by 22
Metadata
- Authors
- Shreffler, J., Huecker, M., & Petrey, J.
- Venue
- Western Journal of Emergency Medicine
- Published
- 2020-08-17
- Volume
- 21
- Issue
- 5
- Pages
- 1059-1066
- ISSN
- 1936-900X (ISSN-L)
- OpenAlex
- W3085623175
- Cited by
- 621
- References
- 48
- FWCI
- 44.42
- Type
- journal article
- Language
- en
- Open access
- gold
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