LAUSR

OBJECTIVE The aim of the study was to develop mental health nursing strategies for the inbound quarantined population based on the results of a survey study and frontline nursing experiences. SUBJECTS AND METHODS A mixed research method was selected, we collected data by questionnaires from 128 quarantined people, and by semi-structured interviews from 5 registered nurses. Generalized anxiety disorder-7 (GAD-7), the patient health questionnaire-9 (PHQ-9), the Pittsburgh Sleep Quality Index (PSQI), Social Support Rating Scale (SSRS) were used in the quantitative research to identify the prevalence of psychological issues and risk factors. Semi-structured interviews were conducted in the qualitative study to conclude nursing experiences from RNs. RESULTS The overall prevalence of anxiety, depression, and insomnia were 34%, 41%, and 18% respectively. Binary logistic regression analysis showed that social support, urban residence, and chronic disease were associated with mental health problems in certain aspects. Three themes were emerged from the analysis of RNs interviews: personality, chronic diseases, and social support. CONCLUSIONS The prevalence of mental health issues in the inbound quarantined population was the same as the general population in the initial stage of COVID-19 outbreak, and significantly lower than people who lived in high-risk areas. Living in urban areas, with chronic diseases, and obtaining less social support are the risk factors. Finally, four nursing strategies were proposed by the research team for mental health well-being.