Mental Health and Coping Strategy of Nursing Students During the Covid-19 Pandemic in Indonesia

Introduction: During this COVID-19 pandemic, being a nurse is one of the most stressful jobs a person can have. The purpose of this study was to determine the relationship between stress and coping strategy among nursing students during the COVID-19 pandemic in Indonesia. Methods: A cross-sectional study was conducted to students from higher education institutions. Closed web-based surveys were used to collect data. The instrument used the Beck Depression Inventory (BDI) and Ways of Coping (Revised). Linear regression was used to analysed the data. Results: The mean stress score was 24.18 (SD=4.744). About 64.6% of participants were having moderate stress during their online learning process and 33.3% of them were reported to have severe stress level. The mean score of coping strategy was 48.83 (SD=9.980), ranged from 7 to 84. Stress was associated with coping strategies (B=0.171, 95% CI: 0.119-0.223, p-value=0.000) with R square was 0.168. Conclusion: This study can be used as important data for each institution to develop an intervention to overcome mental health problems in students, especially when an outbreak or disaster occurs. © 2022 UPM Press. All rights reserved.

Nurses’ View towards the Use of Robotic during Pandemic COVID-19 in Indonesia: A Qualitative Study

BACKGROUND: Rapid advances in artificial intelligence and robotics have alleviated difficulties for patients, hospitals, and the industry as a whole. However, the health care system is identically human-centered at its core, and many healthcare professions may not be ready to work with robots. Understanding nurses’ views toward robotics can help integrate robotic technologies into future patient care. AIM: This study aimed to explore how nurses view using robotics during the COVID-19 pandemic. METHODS: This study used a qualitative descriptive technique to registered nurses who provide direct care to the patients with COVID-19 recruited from two hospitals in Indonesia. Purposive sampling was used to select respondents with criteria of those who had worked for at least 1 year and were willing to participate—the analysis used qualitative content analysis. A total of 20 female nurses with an average age of 32.8 ± 4.0 years participated in this study. RESULTS: The qualitative findings revealed three themes with nine sub-themes. The three themes were: (1) the use of robotic in nursing care (sub-theme: reducing the risk of COVID-19 transmission, monitoring patients remotely, and helping in providing care);(2) the burden of using robotic in nursing care (sub-theme: digital literacy in nursing care, culture difference in providing care, changing care practice habits, and safety concern;(3) attitude toward robotic in nursing care (sub-theme: negative response). CONCLUSIONS: Robotic is viewed as a beneficial approach to deliver cares to the patients but has several challenges and need adaptation process to change through extensive monitoring. It implies that a strategic plan would have many benefits and limitations, such as nursing care burden, negative attitude, and cultural awareness.