ABSTRACT
Objective: This study aimed to test the feasibility and efficacy of a self-guided online cognitive behaviour therapy (iCBT) for university students in Hong Kong during COVID-19. Method: One group pre-post-test design with convenient sampling was adopted in this study, involving 84 university students who received a newly developed iCBT within an 8 week intervention period. The iCBT offered eight online modules for students to learn the skills of CBT at home through an online platform which was accessible any time anywhere anonymously with technical support only. Standardized assessment tools were used for outcomes assessment at the pre- and post-intervention periods. Results: Three quarters of participants completed all iCBT modules. The results of paired t-tests showed that, after completing the iCBT, participants showed reduction in anxiety, depression, and perceived stress. Conclusion: This study provides preliminary evidences to support the feasibility and efficacy of the self-guided iCBT for university students during COVID-19. [ FROM AUTHOR] Copyright of Research on Social Work Practice is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
BACKGROUND: Sleep disorders may exacerbate many physical and mental health conditions, causing difficulty function in a healthcare setting. Workers screening for the 2019 novel coronavirus (2019-nCoV) infection have a high risk of not only occupational exposure to the virus but also sleep disorders. However, the job-related factors associated with reduced sleep quality remain unclear. METHODS: All healthcare workers temporarily scheduled to screen the 2019-nCoV patients were asked to complete a self-administered questionnaire that included questions on demographics, job-related factors, and sleep quality as assessed using the Pittsburgh Sleep Quality Index (PSQI). Sleep quality was assessed over a one-month follow-up period. RESULTS: A total of 116 doctors and 99 nurses were recruited for this study. The total scheduled work time was 14.78 ± 6.69 days during follow-up. Some job-related factors, such as number of work days, years of work experience, and subjective psychological stress, were associated with changes in the PSQI score. During the study, some workers tried out cognitive behavioral therapy (CBT) for sleep disorders using methods that were available online and easily accessible. Adopting online CBT was shown to be associated with scores of components of sleep quality, sleep latency, and sleep disturbance (ß = -0.152, P = 0.01; ß = -0.175, P = 0.008; and ß = -0.158, P = 0.011, respectively). CONCLUSIONS: Healthcare workers involved in screening for 2019-nCoV experienced reduced sleep quality, and a reasonable work schedule may help with maintaining sleep quality. In addition, interventions for healthcare workers should target self-help sleep assistance.