Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach
JMIR Nursing2021Vol. 5(1), pp. e32647–e32647
Citations Over TimeTop 10% of 2021 papers
Yanhong Dong, Mei Chun Yeo, Xiang Cong Tham, Rivan Danuaji, Thang Huu Nguyen, Arvind Sharma, Komalkumar RN, Meenakshi PV, Mei‐Ling Sharon Tai, Aftab Ahmad, Benjamin Yong‐Qiang Tan, Roger Ho, Matthew Chin Heng Chua, Vijay K. Sharma
Abstract
Nurses were least psychologically affected compared to doctors and other health care workers. Different contexts, cultures, and points in the pandemic curve may have contributed to differing patterns of psychological outcomes amongst nurses in various Asia-Pacific countries. It is important that all health care workers practice self-care and render peer support to bolster psychological resilience for effective coping. In addition, this study also demonstrated the potential use of decision tree-based machine learning models and SHAP value plots in identifying contributing factors of sophisticated problems in the health care industry.
Related Papers
- → A Preliminary Investigation into Worry about Mental Health: Development of the Mental Health Anxiety Inventory(2015)10 cited
- → Maternal depression and anxiety among children with mental health problems(2008)
- Susquehanna Chorale Spring Concert "Roots and Wings"(2017)
- → DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION(2018)
- → The Impact of COVID-19 on the People with Mental Illnesses: Health Anxiety, Coping Strategies, and Psychological Well-Being(2022)