Decision to employ retired nurses to work in senior care businesses: A qualitative study.

AIMS: This paper aimed to explore the views of employers at senior care businesses concerning the employment of retired nurses in Thailand. DESIGN: A qualitative interview study was conducted. METHODS: Face-to-face and online semi-structured interviews with 78 senior care business employers were conducted. RESULTS: Business employers had positive sentiments towards employing retired nurses to deliver care and supported them to remain in the profession. Business employers acknowledged that retired nurses have a high level of professional confidence with excellent knowledge and skills. Furthermore, retired nurses were often assigned to work in managerial roles. In addition, flexibility in terms of work hours, suitability of role and responsibilities, and reasonable compensation rates were important to nurses' decisions to remain in or return to the nursing profession. There is a need for the further development of recruitment, retention and reform policies to encourage retired nurses to continue or return to the nursing profession. PATIENT AND PUBLIC CONTRIBUTIONS: We thank all participants for their valuable input throughout the study.

Factors affecting face mask-wearing behaviors to prevent COVID-19 among Thai people: A binary logistic regression model.

Objectives: Face mask wearing is a standard preventive measure, in addition to handwashing and physical distancing. Individuals may find that wearing a face mask protects their physical health and prevents viral transmission. However, none of the studies in Thailand identified factors associated with face mask-wearing behaviors among Thai people. Therefore, this study aims to determine factors affecting face mask-wearing behaviors to prevent COVID-19. Methods: This research is analytical survey research. The data used in this study were under the project title "The assessment of psychosocial and behavioral response and compliance to restriction measures to prevent and control COVID-19: A series of the rapid survey." A total of 6,521 people participated in an online survey by multi-stage sampling. Bivariate logistic regression analysis was used to examine the factors associated with face mask-wearing behaviors. Results: After adjusting for independent variables (i.e., gender, age, education, career, smoking, and comorbidity disease), the bivariate logistic regression analysis revealed that gender, age, and career were statistically significant to the face mask-wearing behaviors (p < 0.05). Level of education, smoking, and comorbidity disease were not statistically significant with face mask-wearing behaviors among Thai people. Conclusion: Further study should explore broader on individual face mask perceptions and wearing in the continuing of COVID-19 across gender, age, and careers to better understand their health behaviors and to inform further policy. In addition, the development of an intervention to promote face mask wearing should target men who age below 30 yrs. and did not work in government services careers as this group of the population was likely not to wear a face mask outside the home.

COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey.

Objectives: To identify factors influencing COVID-19 preventive behaviors among the Thai population. Methods: A cross-sectional web-based survey was used. A total of 6,521 Thai people completed the survey. The multiple linear regression analysis was performed to identify factors that influenced coronavirus disease 2019 (COVID-19) preventive behaviors. The Predisposing, Reinforcing, and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) model was applied to propose factors influencing COVID-19 preventive behaviors. Results: The factors that mostly influenced COVID-19 prevention behaviors when controlling for the other variables are social support (ß = 0.173, p < 0.001) follow by age (ß = 0.162, p < 0.001), flu-like symptoms (ß = 0.130, p < 0.001), gender (ß = -0.084, p < 0.001), perceived risk of exposure (ß = 0.035, p < 0.05), lock down policy (ß = 0.029, p < 0.05), and residential area (ß = -0.027, p < 0.05), respectively. These factors explained 52% of the COVID-19 preventive behaviors in Thai population. Conclusion: The result of this study was a foundation for further studies on different groups of people to develop different strategies to adopt preventive behaviors to reduce the spread of the COVID-19.