ABSTRACT
Background: Availability of medical infrastructures, the ability to comprehend the transmission of a disease, the application of control strategies and proper implementation of logistic policies are vital for successful management of an epidemic in a country but all of them are under the influence of the health and management policies of countries. Thus, the present study aimed to compare the strategies used by Iranian and Chinese nurses for management plan of patients with COVID- 19. Methods: The present study was conducted based on the conventional content analysis method and Graneheim & Lundman approach. The participants were recruited by purposeful sampling and based on inclusion criteria from the nurses working in the COVID-19 wards of Shariati hospital in Tehran of Iran and Haikou hospital in Hainan of China. The data were collected by conducting semi-structured, in-depth, one-to-one interviews until reaching data saturation. Then the differentiation of the strategies used in the two countries was investigated. Results: In-depth interviews with 9 Chinese and 10 Iranian nurses were done. “managers as key element to overcoming the crisis” as the main category, 6 categories and 22 subcategories were excluded from Iranian interviews. “Action to Control Crisis” as the main category, 8 categories and 19 subcategories were excluded from Chinese interviews. Conclusion: Nursing managers in China have given more importance to the process of training and preparing nurses to take care of patients with Covid-19 and reduce the transmission of infection between Health care workers. However, nursing managers in Iran have focused more on using measures to compensate for the shortage of nurses, limiting the days of hospitalization of patients and daily monitoring of nurses' performance and ventilator settings of patients.
Subject(s)
COVID-19ABSTRACT
BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, nursing and midwifery undergraduate students' time spent in home isolation and being engaged in home-based e-learning was extended. Limited research has been conducted on home-based e-learning behavior during home isolation, and the relationships between individual factors, such as self-control, self-efficacy, and other demographic characteristics, and home-based e-learning behavior are unclear. OBJECTIVES: This study aimed to explore the associations between self-control, self-efficacy, and demographic information with home-based e-learning behavior among nursing and midwifery undergraduates during the COVID-19 pandemic. DESIGN AND METHODS: A cross-sectional study was employed, and an online survey was conducted with 3733 nursing and midwifery undergraduates across seven provinces and cities in mainland China. Data were collected using the Brief Self-control Scale, General Self-efficacy Scale, Undergraduate Home-based E-learning Behavior Questionnaire, and Demographic Information Questionnaire. A multiple linear regression analysis using the stepwise method was conducted to identify predictors of home-based e-learning behavior. RESULTS: Undergraduates achieved an overall mean score of 26.02 (SD = 4.20) for home-based e-learning behavior and an overall mean score of 42.54 (SD = 6.22) and 27.59 (SD = 3.89) for self-control and self-efficacy, respectively. Better self-control (ß = 0.250, P < 0.001), higher self-efficacy (ß = 0.169, P < 0.001), universities being located in non-Hainan provinces (ß = 0.249, P < 0.001), being a sophomore or freshman (ß = -0.255, P < 0.001), and good perceived health status (ß = -0.044, P = 0.003) were identified as the predictors of better home-based e-learning behavior among nursing and midwifery undergraduates. CONCLUSION: Self-control, self-efficacy, and demographic characteristics including the province of the university, grade level, and personal perceived health status were associated with home-based e-learning behavior. Universities should help nursing and midwifery undergraduates improve self-control and enhance self-efficacy while taking measures to decrease the impact caused by demographic characteristic differences.