Providing care to individuals with complex mental health needs can be stressful. However, little research has focused on the emotional, cognitive, and physical consequences of providing mental health care. The aim of this study is to assess burnout (BO), compassion fatigue (CF) and compassion satisfaction (CS) among staff at the four community-based mental health services (CMHS) of Verona, Italy. All staff were asked to complete anonymously the Professional Quality of Life Scale, the General Health Questionnaire, and a socio-demographic questionnaire. In total 260 staff participated (a response rate of 84%). Psychiatrists and social workers were the professionals with the highest levels of BO and CF. Workers with psychological distress reported both higher BO and CF scores, and lower levels of CS. A significant increase in the BO and CF scores was also detected for each extra year spent working in a CMHS. A higher level of CF was associated with female and having been experienced one negative life event in the previous year. These findings are useful for health managers and team leaders to identify factors affecting the professional quality of life of mental healthcare staff, and can provide a rationale for detecting staff at risk for developing negative work-related outcomes.
Further studies are needed to evaluate the influence of other factors, such as environmental variables, that may influence the use of mental health services.
The present study analyzed long-term outcomes and complications of laparoscopic lateral suspension (LLS) with mesh to treat apical and anterior pelvic organ prolapse (POP). Study design: A prospective cohort study on 125 patients with vaginal bulge and apical +/À anterior prolapse scheduled for LLS who consecutively underwent LLS between
For the first time the hospital discharge card regional survey of all public acute inpatient psychiatric facilities in Veneto Region were used. The innovative aspect of this study was the attempt to investigate the relationship between length of stay and other indexes, characterizing not only the inpatient facilities, but also the resident population structure in each area. The information about factors that influence length of stay can be useful to inform service planning and resource allocation.
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