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Background: Mental illness is one of the most severe, chronic, and disabling public health problems that affects patients’ Quality of life (QoL). Improving the QoL for people with mental illness is one of the most critical steps in stopping disease progression and avoiding complications of mental illness. Therefore, we aimed to assess the QoL and its determinants in patients with mental illness in outpatient clinics in Northwest Ethiopia in 2023. Methods: A facility-based cross-sectional study was conducted among people with mental illness in an outpatient clinic in Ethiopia. The sampling interval was decided by dividing the total study participants who had a follow-up appointment during the data collection period (2400), by the total sample size 638, with the starting point selected by lottery method. The intervieweradministered WHOQOL BREF-26 tool was used to measure the quality of life (QoL) of people with mental illness. The domains of QoL were identified, and indirect and direct effects of variables were calculated using structural equation modelling with SPSS-28 and Amos-28 software. A p-value of < 0.05 and a 95% CI were used to evaluate statistical significance. Results: A total of 636 (99.7%) participants agreed to participate and completed the data collection. The mean score of overall QoL of people with mental illness in the outpatient clinic was 49.6 ± 10 Sd. The highest QoL was found in the physical health domain (50.67 ± 9.5 Sd), and the lowest mean QoL was found in the psychological health domain (48.41 ± 10 Sd). Rural residence, drug nonadherence, suicidal ideation, not getting counselling, moderate or severe subjective severity, family does not participate in patient care and a family history of mental illness had an indirect negative effect on QoL. Alcohol use and psychological health domain had direct positive effect on QoL. Furthermore, objective severity of illness, having low self-esteem, and having history of mental illness in the family had both direct and indirect effect on QoL. Furthermore, sociodemographic factors (rural residence, illiterate educational status, not married marital status), social support-related factors (poor self-esteem, family not participating in patient care), substance use factors (alcohol use, tobacco use) and clinical factors (high objective and subjective severity of illness, not getting counselling, suicidal ideation, higher number of episodes, comorbid illness, family history of mental illness, poor drug adherence) directly and indirectly affected QoL. Conclusions: In this study, the QoL of people with mental illness was poor, with the psychological health domain the most affected. Sociodemographic factors, social support-related factors, drug use factors, and clinical factors, directly and indirectly affected QoL through the mediator variables of physical health domains, psychological health domains, social relation health domains, and environmental health domains. In order to improve the QoL of people with mental illnesses, we recommend that emphasis be given to addressing the QoL of those with mental illness, including the development of policy and practice responses that address the above identified factors. [ABSTRACT FROM AUTHOR]

Background: Adolescent mental health issues are emerging as a significant public health concern across many low- and middle-income countries, particularly in Africa. This study aims to evaluate the aggregated prevalence and contributing risk factors of mental health distress among adolescents in Africa. Methodology: A comprehensive search of PubMed, PsycINFO, Web of Science, Google Scholar, and HINARI databases was conducted to identify relevant articles on the prevalence and risk factors associated with mental health distress among African adolescents, published up to December 2023. The quality of the selected studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Heterogeneity among the studies was evaluated using the I² statistical test. Potential publication bias was assessed through a funnel plot and Egger's statistical test. This systematic review was registered with PROSPERO under reference number CRD42023494665. Results: Eighteen studies encompassing data from 37,016 adolescents were included in the analysis. The overall prevalence of mental health distress among adolescents in Africa was found to be 27.34% (95% CI: 23.18–31.50). The occurrence of mental health distress is observed in older adolescents at a prevalence of 29.44% (95% CI: 23.26–35.66) and in younger adolescents at 24.73% (95% CI: 11.96–37.51). Significant risk factors identified included bullying victimization, with an odds ratio (POR) of 1.30 (95% CI: 1.16, 1.46), and experiencing hunger, with an odds ratio (POR) of 2.10 (95% CI: 1.13, 3.91). Conclusion: The findings indicate a high prevalence of mental health distress among adolescents in Africa, highlighting the widespread impact on this demographic. These results underscore the urgent need for targeted interventions to prevent and address mental health distress among adolescents. Further research on a global scale is essential to develop effective prevention and treatment strategies tailored to this age group. [ABSTRACT FROM AUTHOR]

Background: Globally, 350 million people are suffering from depression. Many people suffering from depression use different sources of help for their problems. People with different mental health problems seek help from formal and/or informal sources. This gives crucial information on community beliefs and perception regarding their preference for help. This study helps to guide effective planning and provision of mental health services, and health policy of the country to explore the community's preference to different sources of help. Objective: The aim was to contrast patterns of formal and informal help-seeking preferences for depression among residents of Aykel town, Northwest Ethiopia. Methods: This cross-sectional population-based study included 832 participants. We used a major depressive disorder case vignette and general help-seeking questionnaire (GHSQ) to assess preference to seek help. Study participants were selected by multistage cluster sampling technique. An independent sample t-test and analysis of variance test (ANOVA) was performed. Results: A total of 656 subjects (78.8%) showed high propensity to intimate partner, and 655 (78.7%) of the study subjects had high propensity to mental health professional. The mean score of the residents' preference to seek help from informal sources was 3.41± 0.60. The mean score of preference to seek help from formal sources was 3.18± 0.75. A total of 276 (33.2%) subjects showed high propensity to both informal and formal sources of help. The results also showed there was a mean score difference in preference for informal help between subjects with strong social support and low and moderate social support (P< 0.001). Conclusion: The result suggests that the majority of the residents had a higher preference to seek help from informal sources than formal sources of care. Providing and strengthening both formal and informal sources of help in conjunction are crucial to get a more qualified and effective care for depressed patients. [ABSTRACT FROM AUTHOR]