ABSTRACT
BACKGROUND: The COVID-19 pandemic has had far-reaching effects on the mental health of populations around the world, but there has been limited focus on the impact on people with existing mental health conditions in low-income countries. The aim of this study was to examine impact of the pandemic on mental health care and people with mental health conditions in Ethiopia. METHODS: A convergent mixed methods study was conducted. We systematically mapped information from publicly available reports on impacts of the pandemic on mental health care. Monthly service utilisation data were obtained from Amanuel Mental Specialised Hospital, the main psychiatric hospital, and analysed using segmented Poisson regression (2019 vs. 2020). In-depth interviews were conducted with 16 purposively selected key informants. Framework analysis was used for qualitative data. Findings from each data source were integrated. RESULTS: In the early stages of the pandemic, participants indicated a minimal response towards the mental health aspects of COVID-19. Mental health-related stigma and discrimination was evident. Scarce mental health service settings were diverted to become COVID-19 treatment centres. Mental health care became narrowly biomedical with poorer quality of care due to infrequent follow-up. Households of people with pre-existing mental health conditions in the community reported worsening poverty and decreased access to care due to restricted movement, decreased availability and fear. Lack of reliable medication supplies increased relapse and the chance of becoming chained at home, abandoned or homeless. Caregiver burden was exacerbated. Within mental health facilities, prisons and residential units, infection control procedures did not adequately safeguard those with mental health conditions. Meanwhile, the needs of people with mental health conditions in COVID-19 quarantine and treatment facilities were systematically neglected. Only late in the day were integrated services developed to address both physical and mental health needs. CONCLUSIONS: The COVID-19 pandemic had substantial negative impacts on the lives of people with mental health conditions in Ethiopia. Future emergency response should prioritise the human rights, health, social and economic needs of people with mental health conditions. Integration of mental and physical health care would both expand access to care and increase resilience of the mental health system.
ABSTRACT
Background: Internet Addiction is defined as excessive internet use or poorly controlled preoccupations, impulses, or behaviors related to computer use and internet access that cause impairment or suffering. It had devastating effect on people lives, families, productivity, academic performance and rarely engaging in criminal acts like alcohol use, drug addiction, or compulsive gambling. This study aimed to investigate the psychometric properties of the Amharic version of Internet Addiction Test-20 among Addis Ababa University, College of Health Sciences medical students, Addis Ababa, Ethiopia. Methods: A cross sectional study was carried out among 410 medical students using a convenience sampling method after stratifying them based on their year level. SPSS Version 23 was used to do Pearson's correlation coefficient to determine the convergent validity of Amharic version of IAT. We computed correlation coefficient between the aggregate scores of IAT-20 and the scores for depressive symptoms, problematic substance use, and other characteristics of participants which was assessed using Patient health questionnaire-9 (PHQ-9), Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) and questionnaire developed to assess demographic and internet use related characteristics, respectively. AMOS 23 software was used to conduct confirmatory factor analysis (CFA) to evaluate the construct validity of Amharic version of IAT. Test-retest reliability was also determined with 2 weeks interval (n = 51). Results: The data confirmed a two-factor structure. Normed Fit Index (NFI) = 0.89, Tucker Lewis Index (TLI) = 0.91 and Comparative Fit Index (CFI) = 0.92, Root Mean Square Error Approximation (RMSEA) = 0.07, and Standardized Root Mean Residual (SRMR) =0.05 indicated a good fit model structure. There was moderate positive correlation between the aggregate scores of IAT-20 and PHQ-9 scores (r = 0.55, p < 0.00), but weak positive correlation between IAT-20 and ASSIST scores (r = 0.14, p < 0.00). IAT-20 was also found to have good internal consistency (Cronbach's alpha = 0.89 for each factor). The test-retest reliability was also good for all items (Intra Class Correlation Coefficient (ICC) > 0.30) except item 16. Conclusion: We found that the IAT-20 is psychometrically sound and a simple screening test for Internet Addiction. However, it is important to acknowledge that further studies are necessary to replicate these findings on diverse population.