Background and Purpose— The efficacy and safety of the selective serotonin reuptake inhibitor fluoxetine have rarely been studied in the treatment of poststroke emotional disturbances. Methods— Stroke patients (152) who had poststroke depression (PSD), emotional incontinence (PSEI), or anger proneness (PSAP) were studied. PSD was evaluated by Beck Depression Inventory and Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition , PSEI by Kim’s criteria, and PSAP was assessed by Spielberger Trait Anger Scale. Subjects were randomly given either fluoxetine 20 mg/day (n=76) or placebo (n=76) for 3 months. Follow-up evaluations were done 1, 3, and 6 months after the beginning of the treatment. The primary outcome measurement was the scores of emotional disturbances at each follow-up assessment. The secondary outcome measurements were the percentage changes of the scores and the subjective responses of the patients. Results— Although patients in the fluoxetine group more often dropped out because of adverse effects, fluoxetine administration was generally safe. Fluoxetine significantly improved PSEI and PSAP, whereas no definitive improvement of PSD was found. Improvement of PSAP was noted even at 3 months after the discontinuation of the treatment. Conclusions— Fluoxetine is efficacious in the treatment of PSEI and PSAP. Its effect on PSD is not solidly confirmed.

Aims: This study investigated health problems, turnover intention, and actual turnover among shift work nurses. While turnover intention is often used as a proxy variable for turnover, the relationship between these variables requires clarification. This study tested for relevant associations using prospective longitudinal data with a time lag of 12 months. We also tested for associations between health problems (sleep disturbance, fatigue, and depression) and turnover intentions/turnover, with a focus on the mediating role of turnover intention. Methods: This study conducted a secondary analysis of data from the Shift Work Nurses’ Health and Turnover project, which is a prospective longitudinal cohort study. We analyzed health problems, turnover intention, and actual turnover. The data were analyzed via descriptive statistics, the Pearson’s chi-squared test, independent t-test, univariable logistic regression, multiple logistic regression, and causal mediation. Results: Participants included 491 shift work female nurses. Of these, 112 (22.8%) had turnover intention, while 38 (7.7%) left their jobs within the 12-month period of investigation. Of the 112 with turnover intention, 22 left their jobs (OR 5.68. 95% CI 2.84–11.36). The logistic regression analysis showed that sleep disturbance and fatigue were associated with turnover intentions and actual turnover, while depression was only associated with turnover intention. The causal mediation analysis showed that turnover intention mediated the relationship between health problems (sleep disturbance and fatigue) and actual turnover (sleep disturbance OR 1.31, 95%CI = 1.02–1.60; fatigue OR 2.11, 95%CI = 1.50–2.68); sleep disturbance had a natural direct effect on actual turnover (OR 2.66, 95%CI,2.07–3.21). Conclusion: Turnover intention strongly predicted actual turnover. Sleep disturbances may result in turnover, even in cases without existing turnover intention. These findings highlight the need for early interventions aimed at preventing and alleviating sleep disturbances for shift work female nurses.

Shift work nurses experience multiple health problems due to irregular shifts and heavy job demands. However, the comorbidity patterns of nurses’ health problems and the association between health problems and turnover intention have rarely been studied. This study aimed to identify and cluster shift work nurses’ health problems and to reveal the associations between health problems and turnover intention. In this cross-sectional study, we analyzed data from 500 nurses who worked at two tertiary hospitals in Seoul, South Korea. Data, including turnover intention and nine types of health issues, were collected between March 2018 and April 2019. Hierarchical clustering and multiple ordinal logistic regressions were used for the data analysis. Among the participants, 22.2% expressed turnover intention and the mean number of health problems was 4.5 (range 0–9). Using multiple ordinal logistic regressions analysis, it was shown that sleep disturbance, depression, fatigue, a gastrointestinal disorder, and leg or foot discomfort as a single health problem significantly increased turnover intention. After clustering the health problems, four clusters were identified and only the neuropsychological cluster—sleep disturbance, fatigue, and depression—significantly increased turnover intention. We propose that health problems within the neuropsychological cluster must receive close attention and be addressed simultaneously to decrease nurse’s turnover intentions.

Choi-Kwon S, et al. J Clin Neurol. 2006 Mar;2(1):34-41. http://dx.doi.org/10.3988/jcn.2006.2.1.34