Evaluation of a flexible assertive community treatment (FACT) program for patients with severe mental illness: an observational study in Salzburg, Austria.

BACKGROUND: Inpatient treatment of severe mentally ill patients binds substantial resources and creates the dilemma of "revolving-door hospitalizations". Evidence suggests that these patients benefit more from an assertive outreach community psychiatric treatment. This descriptive study evaluates the implementation of a new treatment program for severe mentally ill patients provided by a flexible assertive community treatment (FACT) team. METHODS: An uncontrolled design with routine data was used to measure the total length of stays, readmission rates and number of contacts one year prior to the implementation of the FACT program and the following first three years of treatment. RESULTS: A continuous decrease of hospitalization among patients with severe mental illness was observed with the implementation of the FACT program with declines in total length of stays and readmission rates and accompanied with a decreasing number of contacts per year. CONCLUSION: Our findings indicate that this program may create effects in stabilizing patients with severe mental illness and may be highly relevant also for other patient groups.

Depressive symptoms are more influenced by personality traits and styles than working in nursing-a study during the COVID-19 pandemic.

Background: According to literature, the COVID-19 pandemic caused stressful working conditions for nurses, which may have a negative impact on their Well-Being and mental health. Aim: To investigate whether nurses and non-helping professionals differ in their Well-Being. Furthermore, we analyzed, for the first time, which personality traits and styles are a risk factor for nurses' wellbeing during COVID-19 pandemic. Methods: In an online survey, the following psychological tests were used on nursing staff (n = 518) and non-helping professionals (n = 335): WHO-Five (WHO-5), the Personality, Style and Disorder Inventory (PSSI), and the Freiburg Personality Inventory-Revised (FPI-R). Results: Nurses and non-helping professionals did not differ significantly in terms of Well-Being. The Well-Being of nurses was correlated with the following personality traits and styles, namely Spontaneous-Borderline Personality Style, Silent-Depressive Personality Style, Strain, Emotionality, and Life Satisfaction. According to our results, 33% of participants suffered from clinically significant depressive symptoms. Discussion: According to our results, nurses are not more at risk for depression. However, it was shown that Well-Being during the pandemic is highly dependent on personality. Conclusion: Specific personality traits and styles are a greater predictor of depressive symptoms than profession. The stressful occupational environment during COVID-19 pandemic is not the only cause for depressive symptoms in nurses. Psychotherapeutic interventions are especially important for particular individuals and are necessary to prevent depressive symptoms during COVID-19 pandemic.

Electroencephalogram alpha asymmetry in patients with depressive disorders: current perspectives.

PURPOSE: Electroencephalogram (EEG) alpha asymmetry (AA) in depressive disorders has been of interest over the last few decades, but it continues to remain unclear whether EEG AA can discriminate between healthy and depressive individuals. MATERIALS AND METHODS: A systematic literature search for papers addressing EEG AA using the keywords alpha asymmetry, depression, and EEG was performed in PubMed. All studies were checked for sample size, gender, handedness, reference, recording protocol, EEG band range, impedance, type of analysis, drugs, and comorbidity. RESULTS: A total of 61 articles were found, of which 44 met our inclusion criteria. They have been consecutively analyzed in respect of methodology and results. Approximately 25% (11/44) of the studies did not mention or ignored handedness, 41% (18/44) of the studies used data with only self-reported handedness, and only 34.1% (15/44) of all studies tested handedness. Only 35% (15/44) of the studies reported pharmacological treatment, and only 35% (15/44) of the studies controlled for medication. A total of 52% (23/44) of the studies reported comorbidity, and only 30% (13/44) of the studies controlled for comorbidity. Only 29.6% (13/44) of the studies reported education. In all, 30.5% (13/44) of the studies analyzed group differences and correlations, while 15.9 (7/44) of the studies used only correlational analyses. A total of 52.3% (23/44) of the studies analyzed only group differences. Alpha range was fixed (8-13 Hz) in 59.1% (26/44) of all studies. Reference to common average was used in seven of 44 studies (15.9%). In all, nine of 44 (20.5%) studies used the midline central position as reference, 22 of 44 (50%) studies used the ear or the mastoid as reference, and four of 44 (9.1%) studies used the nose as reference. CONCLUSION: Discriminative power of EEG AA for depressed and healthy controls remains unclear. A systematic analysis of 44 studies revealed that differences in methodology and disregarding proper sampling are problematic. Ignoring handedness, gender, age, medication, and comorbidity could explain inconsistent findings. Hence, we formulated a guideline for requirements for future studies on EEG AA in order to allow for better comparisons.