Evaluation of quality of life in patients with schizophrenia: An inpatient social welfare institution-based cross-sectional study.

Schizophrenia is a chronic mental illness with a poor quality of life (QoL). The main aim of this study was to measure the QoL and factors that affect the QoL of patients with schizophrenia placed in a social welfare institution. This cross-sectional study included 287 patients with schizophrenia who were treated in a long-stay social care institution in which QoL was assessed using five different instruments: the World Health Organization Quality of Life scale, the EuroQoL Five-Dimension-Five-Level scale (including the visual analog scale), the Quality of Life Enjoyment and Satisfaction Questionnaire - Short Form, and the Brief Psychiatric Rating Scale. To determine the impact of patients' characteristics on score values, multiple linear regression using backward elimination was employed. Due to non-normality in the distribution of the dependent variables, a Box-Cox power transformation was applied to each dependent variable prior to conducting multiple linear regression analysis. Results revealed that patients with schizophrenia have lower QoL. Our study revealed that age, level of education, type of accommodation, type of pavilion, age of onset of the disease, number of prescribed antipsychotics, number of psychiatric comorbidities, duration of therapy, and the number of daily doses of antipsychotics are dominant contributors to the QoL in patients with schizophrenia who were treated in social welfare institution.

Exposure to Stress and Burnout Syndrome in Healthcare Workers, Expert Workers, Professional Associates, and Associates in Social Service Institutions.

Background and Objectives: Workplace burnout syndrome is often as sociated with particular aspects of certain job positions, especially those that entail working with people with special needs. The burnout syndrome in healthcare jobs is a serious problem that has grown into an epidemic among healthcare workers and associates. The aim of this research is to assess the presence of stress and burnout syndrome at work with healthcare workers, expert workers, professional associates, and associates in social service institutions in Belgrade. Materials and Methods: This research was conducted in the form of a cross-sectional study of a representative sample in social institutions in Belgrade. It was conducted from March to the end of June of 2023. The sample of the study had 491 participants. The questionnaires used were a structured instrument with social-demographic and social-economic characteristics, workplace characteristics, lifestyle characteristics, and the following questionnaires: DASS-21, Copenhagen, Brief Resilience Scale, and Brief Resilient Coping Scale. Results: The end results indicate the following to be significant risk factors for the occurrence of workplace burnout syndrome: overtime (OR = 2.62; CI = 1.50-4.56), BRS average score (OR = 0.28; CI = 0.17-0.44), DASS21 D heightened depression (OR = 2.09; CI = 1.1-4.04), DASS21 A heightened anxiety (OR = 2.38; CI = 1.34-4.21), and DASS21 S heightened stress (OR = 2.08; CI = 1.11-3.89). The only protective risk factor that stood out was the self-assessment of health levels (OR = 0.60; CI = 0.42-0.85). Conclusion: Overtime is a significant factor associated with workplace burnout. Apart from it, other significant factors associated with workplace burnout were heightened depression, anxiety, and stress levels.

Implementation of the Baveno Classification in Obstructive Sleep Apnea and Its Correlation with Symptoms of Anxiety and Depression.

Background and Objectives: The Baveno classification represents a new approach to the assessment of the severity of OSA (Obstructive sleep apnea), which takes significant comorbidities into account: atrial fibrillation, arterial hypertension, heart failure, stroke, diabetes mellitus, and OSA symptoms expressed through the Epworth sleepiness scale (ESS). The authors believe that the Baveno classification facilitates a better stratification of patients with OSA and can be a good guide for deciding on the therapeutic approach and clinical monitoring of patients with OSA, compared to the AHI (apnea-hypopnea index) itself. The aim of this paper is to confirm the advantage of applying the Baveno classification to the evaluation of symptoms of anxiety and depression in the OSA patients compared to the application of the AHI as a single parameter. Materials and Methods: This research represents an observational retrospective study that was performed at the Pulmonology Clinic of the University Clinical Center in Kragujevac, Serbia. The study sample included 104 patients with diagnosed OSA. Patients were divided into four categories retrogradely according to the Baveno classification (A, B, C, and D). Statistical data processing was performed using the IBM SPSS Statistics version 25.0 program. Results: In our study, we proved that the Baveno classification is better at predicting the depressive disorder in OSA patients compared to the AHI itself, according to abnormal BDI-II (Beck Depression Inventory) score (value greater than ten) and HADS-D (Hospital anxiety and depression) scale (value greater than eight). The average AHI in the entire group of examined patients was 44.3 ± 19.8, while in category A the average AHI was 25.2 ± 10, in category B, 53.4 ± 20.6; in category C, 38.2 ± 18.5; and in category D, 48.1 ± 19.2. In the total sample, AHI did not correlate with the depressive episodes, but individually, the highest frequency of the depressive symptoms was precisely in the categories with the highest AHI (group D and B), where more than half of the subjects had an abnormal score. The frequency of the anxiety disorder (HADS-A) between the analyzed groups did not differ significantly, although the largest number of patients with significant anxiety were in category B, according to the Baveno classification. Conclusions: We proved that the Baveno classification is applicable in real life, and it is better at evaluating anxiety and depression using questionnaires and can identify new patients who need CPAP therapy, independently of other OSAS symptoms, primarily daytime sleepiness.