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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 interviewer-administered 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., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Alemu, Mwanri, Due, Azale and Ziersch.)

Introduction: Quality of life (QoL) of patients with mental illness has been examined internationally but to a lesser extent in developing countries, including countries in Africa. Improving QoL is vital to reducing disability among people with mental illness. Therefore, this systematic review and meta-analysis aimed to assess the prevalence of QoL and associated factors among people living with mental illness in Africa., Methods: Using the PICOT approach, Scopus, MEDLINE, PsycINFO, CINAHL, Embase, the Web of Science, and Google Scholar were searched. A structured search was undertaken, comprising terms associated with mental health, mental illness, QoL, and a list of all African countries. The Joanna Briggs Institute Quality Appraisal Checklist is used to evaluate research quality. Subgroup analysis with Country, domains of QoL, and diagnosis was tested using a random-effect model, and bias was assessed using a funnel plot and an inspection of Egger's regression test. A p value, OR, and 95% CI were used to demonstrate an association., Results: The pooled prevalence of poor QoL was 45.93% (36.04%, 55.83%), I 2  = 98.6%, p < 0.001). Subgroup analysis showed that Ethiopia (48.09%; 95% CI = 33.73, 62.44), Egypt (43.51%; 95% CI = 21.84, 65.18), and Nigeria (43.49%; 95% CI = 12.25, 74.74) had the highest mean poor QoL prevalence of the countries. The pooled prevalence of poor QoL by diagnosis was as follows: bipolar disorder (69.63%; 95% CI = 47.48, 91.77), Schizophrenia (48.53%; 95% CI = 29.97, 67.11), group of mental illnesses (40.32%; 95% CI = 23.98, 56.66), and depressive disorders (38.90%; 95% CI = 22.98, 54.81). Being illiterate (3.63; 95% CI = 2.35, 4.91), having a comorbid medical illness (4.7; 95% CI = 2.75, 6.66), having a low monthly income (3.62; 95% CI = 1.96, 5.27), having positive symptoms (0.32; 95% CI = 0.19, 0.55), and having negative symptoms (0.26; 95% CI = 0.16, 0.43) were predictors of QoL. Thus, some factors are significantly associated with pooled effect estimates of QoL., Conclusions: The current systematic review and meta-analysis showed that almost half of patients with mental illness had poor QoL. Being illiterate, having a comorbid medical condition, having a low monthly income, having positive symptoms, and having negative symptoms of mental illness were independent predictors of poor QoL. This systematic review and meta-analysis emphasize that poor QoL of people with mental illness in Africa needs attention to reduce its negative consequences., (© 2023. Crown.)

Background: Internalisation of stigma occurs when people with a stigmatised attribute, such as a mental illness, supress negative but accepted societal attitudes. However, as far as is known, there is no comprehensive picture of the prevalence of and factors associated with, internalised stigma among people living with mental illness in Africa. This systematic review and meta-analysis provide new knowledge by examining the evidence on the prevalence of internalised stigma and associated factors among people living with mental illness in Africa., Methods: Using the population, intervention, comparison, outcome, and type of study (PICOT) approach, PubMed, Scopus, MEDLINE, PsycINFO, CINAHL, ScienceDirect, and Google Scholar were searched using a structured search comprising terms associated with mental health, mental illness, internalised stigma, and a list of all African countries. To evaluate paper quality, the Joanna Briggs Institute Quality Appraisal Checklist was used. Subgroup analysis with country and diagnosis was tested using a random-effect model, and bias was checked using a funnel plot and an inspection of Egger's regression test. A p-value, OR and 95% CI was used to demonstrate an association., Results: The pooled prevalence of internalised stigma was 29.05% (25.42,32.68: I 2  = 59.0%, p ≤ 0.001). In the subgroup analysis by country, Ethiopia had the highest prevalence of internalised stigma at 31.80(27.76,35.84: I 2  = 25.6%, p ≤ 0.208), followed by Egypt at 31.26(13.15,49.36: I 2  = 81.6%, p ≤ 0.02), and Nigeria at 24.31(17.94,30.67: I 2  = 62.8%, p ≤ 0.02). Based on domains of internalised stigma, pooled prevalence was stigma resistance: 37.07%, alienation: 35.85%, experience of discrimination: 31.61%, social withdrawal: 30.81% and stereotype: 26.10%. Experiencing psychotic symptoms (1.42(0.45,2.38)), single marital status (2.78(1.49,4.06)), suicidal ideation (2.32(1.14,3.49)), drug nonadherence (1.5(-0.84,4.00)), poor social support (6.69(3.53,9.85)), being unemployed (2.68(1.71,3.65)), and being unable to read and write (3.56(2.26,4.85)) were identified as risk factors for internalised stigma., Conclusions: Internalised stigma is common among people suffering from mental illnesses in Africa. This review determined that 29% of the sample population had elevated internalised stigma scores, and there were variations by country. People experiencing mental illness who have a single marital status, suicidal behaviours, poor social support, unemployed and have poor literacy levels were at a higher risk of internalised stigma. The finding points to populations that require support to address internalised stigma and improve the mental health outcomes., (© 2023. The Author(s).)

Background: Depression is one of the most common mental health problems comorbid with tuberculosis. However, a consolidated picture of the prevalence of depression among tuberculosis patients in East Africa remains unknown. This systematic review and meta-analysis provide new understandings by systematically examining evidence concerning the prevalence of depression among tuberculosis patients in East Africa., Methods: Literature was found in a database of HINARI, SCOPUS, PubMed, Science Direct, and Google Scholar. The Newcastle-Ottawa quality assessment scale was used to appraise the quality of the selected studies. Then, the DerSimonian and Laird random-effects model was applied because of the presence of heterogeneity among studies., Results: A total of 409 studies were accessed. However, only 29 qualified for a full-text review, and 9 studies with a population of 2838 were included in the qualitative description and quantitative analysis. The pooled prevalence estimate of depression amongst tuberculosis patients was 43.03 % (34.93, 51.13). The highest prevalence was observed in Kenya, with 45.71% (29.26, 62.16); a similar rate was observed in Ethiopia, with 45.11 % (34.60, 55.62). Subgroup analysis based on screening tool was used: 45.71% with BDI and 41.53% with PHQ., Competing Interests: The authors declared that they have no competing interests., (© 2023 Alemu WG et al.)

Background: Many people are familiar with the issues of stigma in mental health or HIV, but feeling stigma as an underlying factor for many medically ill-health conditions has not been examined., Methods: Institution-based cross-sectional study was conducted on patients followed for medical illnesses and having depression. We recruited 384 participants and who were interviewed by nurses using face-to-face interviews and a systematic random sampling technique applied. We used a perceived devaluation and discrimination, a 12-item tool that is used to measure outcome perceived stigma. Variables were coded and entered Epi Info V.3.5.3 and exported to SPSS V.20 for analysis. Statistical analysis parameters, such as descriptive and multivariate logistic regression, were used for data analysis. Adjusted ORs (AORs) with a 95% CI and p value <0.05 were declared significance., Result: The prevalence of perceived stigma on a patient who followed for medical illness screened positive for depression was found to be around 66.3%. In the multivariate logistic regression, patients with hypertension 61% less likely ((AOR=0.39, 95% CI (0.17 to 0.89)) to have perceived stigma than with asthma and cardiac patients, patients completed higher education 2.15 times ((AOR=2.15; 95% CI 1.05 to 4.40)) more likely to have perceived stigma than which cannot read and write. Patients who had the previous admission with medical illness 1-2 times were 3.52 more likely (AOR=3.52, 95% CI (2.14 to 5.78)) perceived stigma than those who had no hospital admission. Patients who had the previous admission three times with medical illness were 6.1 more likely (AOR=6.1, 95% CI (2.32 to 16.07)) to have perceived stigma than those who had no previous hospital admission., Conclusion: The prevalence of perceived stigma among patients who had on follow-up for medical illnesses was high. Educational status, history of previous hospital admission were considerably associated with higher perceived stigma., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Khat use is a widely spreading public health problem affecting the most economically productive population areas in Ethiopia. Khat use among students has been linked with mental, physical, social, and psychological problems. Reliable prevalence has not been recognized because of varying published rates. The objective of this systematic review and meta-analysis is to synthesize evidence on the prevalence and potential risk factors of khat use in Ethiopia., Methods: We found 284 studies of which 266 were removed due to duplication, irrelevant topics, and other reasons, respectively. All studies conducted in Ethiopia on khat chewing among students irrespective of time frame were included. Subsequently, 18 studies were used for synthesis of prevalence. Figures were extracted from published reports, and any lost information was requested from investigators. The quality of the included literature was evaluated by using the Newcastle-Ottawa Scale (NOS). Prevalence was pooled using random-effects meta-analyses. The presence of association was declared using P-values and an odds ratio with a corresponding 95% CI., Results: The pooled prevalence of khat use among students was 16.7% (13.7-19.7%). In the subgroup analysis, the highest prevalence was observed in the Oromia region, at 21.1% (15.5%, 26.7%), and an almost equal prevalence of 14.8% (10.6, 18.9) and 14.3% (10.3, 18.3) was observed in Amhara and the Southern Nation, Nationalities, and People's Region of Ethiopia, respectively. Being male (OR: 2.43 (1.73, 3.13)), being a Muslim religion follower (OR: 2.22 (1.6, 2.8)), being an alcohol user (OR: 2.3 (1.5, 3.0)), khat use by a family member (OR: 1.8 (1.4, 2.2)), peer pressure (OR: 4.4 (3.1, 5.6)), and being a cigarette smoker (OR: 8.5 (5.3, 11.7)) were found to be risk factors for khat chewing., Conclusions: Khat use is a common problem among students. Health promotion, awareness on effect of khat, set policy on khat and substance use on the male sex, Muslim religion, alcohol user, having a family-member khat user, peer pressure, and being a cigarette smoker as possible risk factors for khat use among students., Limitations: Irrespective of time restriction, all studies conducted in Ethiopia are included and cross-sectional in nature. Protocol no. CRD-42017081886., Competing Interests: Competing interestsThe authors declared that they have no competing interests., (© The Author(s) 2020.)

Despite the sparse distribution of meteorological stations and issues with missing data, vector-borne disease studies in Ethiopia have been commonly conducted based on the relationships between these diseases and ground-based in situ measurements of climate variation. High temporal and spatial resolution satellite-based remote-sensing data is a potential alternative to address this problem. In this study, we evaluated the accuracy of daily gridded temperature and rainfall datasets obtained from satellite remote sensing or spatial interpolation of ground-based observations in relation to data from 22 meteorological stations in Amhara Region, Ethiopia, for 2003-2016. Famine Early Warning Systems Network (FEWS-Net) Land Data Assimilation System (FLDAS) interpolated temperature showed the lowest bias (mean error (ME) ≈1-3 °C), and error (mean absolute error (MAE) ≈1-3 °C), and the highest correlation with day-to-day variability of station temperature (COR ≈0.7-0.8). In contrast, temperature retrievals from the blended Advanced Microwave Scanning Radiometer on Earth Observing Satellite (AMSR-E) and Advanced Microwave Scanning Radiometer 2 (AMSR2) passive microwave and Moderate-resolution Imaging Spectroradiometer (MODIS) land-surface temperature data had higher bias and error. Climate Hazards group InfraRed Precipitation with Stations (CHIRPS) rainfall showed the least bias and error (ME ≈-0.2-0.2 mm, MAE ≈0.5-2 mm), and the best agreement (COR ≈0.8), with station rainfall data. In contrast FLDAS had the higher bias and error and the lowest agreement and Global Precipitation Mission/Tropical Rainfall Measurement Mission (GPM/TRMM) data were intermediate. This information can inform the selection of geospatial data products for use in climate and disease research and applications.

Objective: Identify factors related to risky sexual behavior can facilitate health care providers to approach programs that improve quality of services provided to the patient service. The aim of study to assess the prevalence of risky sexual behaviors and associated factors among schizophrenia patient at Amanuel Mental specialized hospital, Addis Ababa, Ethiopia, 2019., Result: A total of four hundred twenty-nine participants were interviewed with a response rate of 97.05%. The prevalence of risky sexual behavior was 39.4% (95% CI 34.3, 43.6). In the multivariate logistic regression, being male sex (AOR = 3.78 (1.94, 7.38)), patients in age group between 18 and 24 (AOR = 4.85 (1.73, 13.6)), current use of alcohol (AOR = 1.86 (1.049, 3.32)), place of residence (AOR = 6.22 (2.98, 12.98)), positive symptom (AOR = 3.01 (1.55, 5.84)) were associated with risky sexual behavior.

Introduction: These days, in Ethiopia, khat chewing is one of the widely spreading public health problems affecting the most productive segment of the population. The health implications of khat chewing among students are strongly linked with poor mental, physical and social performances. However, the national magnitude of khat chewing and the associated factors among Ethiopian students are unknown. Therefore, this systematic review and meta-analysis will answer the national prevalence of khat chewing and the associated factors among students in Ethiopia., Methods: Published primary relevant articles will be accessed using various databases, such as Medline, PubMed, EMBASE and Scopus. Other electronic search engines, for instance, Google Scholar and Google, will be used. Furthermore, additional studies will be collected by communicating with the author(s) and following the references of relevant articles. To select eligible studies, the Joanna Briggs Institute quality appraisal checklist will be used. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist will be followed to keep the scientific rigour of the study. Heterogeneity between studies will be examined through forest plot and I 2 heterogeneity tests. To identify influential studies, sensitivity analysis will be done. For substantial heterogeneity (I 2 >50%), the DerSimonian and Laird random-effects model will be employed. Subgroup analyses will be conducted using the random-effect model. Moreover, small studies' publication bias will be checked by funnel plots and objectively by Egger's regression test. If in case Egger's test was found to be statistically significant (p<0.05), trim and fill (Duval and Tweedie) analysis will be performed. The presence of association will be declared using p≤0.05 and OR with corresponding 95% CI., Ethics and Dissemination: Since the intention of the study is to describe earlier primary studies qualitatively and pool the results of those articles, ethical clearance will not be a concern. The results of the study will be published in a reputable peer-reviewed journal and presented at different scientific research conferences. It will also be disseminated to academic as well as other concerned institutions., Prospero Registration Number: CRD-42,017,081,886., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: In Ethiopia, prenatal anemia is a major public health concern affecting both the health of the woman and babies. The World Health Organization recommends to conduct repeated prevalence studies concerning prenatal anemia . However, there is no recent evidence on the magnitude of the prenatal anemia. Therefore, the aim of this study was to determine the prevalence and the associated factors of prenatal anemia among women attending the Antenatal Care Clinic at the University of Gondar Referral Hospital., Methods: A facility-based cross-sectional quantitative study was conducted among 362 participants from June 03-July 08, 2017, at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. The systematic random sampling technique was employed. Structured interviewer administered questionnaire was used. Human Immunodeficiency Virus (HIV) screening was conducted. Nutritional status of the participants was assessed. Blood sample was collected by capillary tube . Intestinal parasite was examined by stool wet mount test. HIV serostatus was detected. Anemia was defined as hemoglobin concentration below 11 g/dl. The multivariable logistic regression model was employed to identify associated factors and to control the possible effects of confounders., Result: The prevalence of anemia was 22.2% (95% CI: 18.11, 27.1%). The highest odds of anemia were observed among pregnant women with family size of >five [AOR = 3 (95% CI: 1.03, 8.65)], unprotected water source users, [AOR = 4.09 (95% CI: 1.75, 9.55)], HIV infected [AOR = 2.94(95% CI: 1.37, 6.35)], and multigravida women [AOR = 3.5 (95% CI: 1.35, 9.17)]., Conclusion and Recommendations: The prevalence of anemia among pregnant women attending the University of Gondar Referral Hospital was a moderate public health problem. Unprotected water source, large family size, Human Immunodeficiency Virus infection, and repeated pregnancies were factors that predicted anemia. Thus, prevention of Human Immunodeficiency Virus infection, family planning utilization, and accessing pure water are recommended.

Background: Epilepsy treatment gap range from 87% to 98%. In spite of this, there is a gross inadequacy of the availability, accessibility and affordability of Anti-Epileptic Drugs. In countries like Ethiopia, where most populations are less aware about mental health problems, most people seek help for their illness from traditional healers. Thus, the main purpose of this study was to assess the pathways to epilepsy care and associated factors., Methods: Cross-sectional study design utilized among 409 participants selected by systematic random sampling technique. Pathways to epilepsy care were assessed by using the WHO Pathway Study tool. Multivariable logistic regression was done to identify factors associated with pathways to epileptic care., Results: Overall, 162 (39.6%) of participants first contacted with modern treatment. Two hundred and forty seven (60.4%) of participants counted traditional healers and religious healers were the most common (47.2%). Being men, attending higher education, urban residence, short duration of illness, social support and age at the onset of illness were factors associated with first contact with modern treatment., Conclusion: Modern treatment was not the first place of choice for the majority of the respondents. Strengthening awareness creation program about epilepsy and its treatment is highly recommended with special emphases to urban dwellers and less educated people.

Background: Household contacts of active tuberculosis cases are at high risk of getting tuberculosis disease. Tuberculosis detection rate among contacts of household members is high. Hence, this study investigated household contact screening adherence and associated factors among tuberculosis patients in Amhara region, Ethiopia., Methods: A cross-sectional study was conducted from April 10 - June 30, 2013 in five urban districts of Amhara region, where 418 patients receiving treatment at tuberculosis clinic were interviewed. All patients were interviewed using structured and pre-tested questionnaire. Bringing at least one household contact to TB clinic was regarded as adherent to household contacts screening. Bivariate and multiple logistic regressions were used to investigate association., Results: The overall adherence to household contact screening in Amhara region was 33.7%. Adherence was higher among Muslims than Christians. Adherence was high if patient took health education from Health Care Worker [AOR: 3.22, 95% CI: 1.88 to 5.51] and 2.17 times higher if patient had sufficient knowledge on tuberculosis [AOR: 2.17, 95% CI: 1.29 to 3.67] during interview. Relationship with contact was a significant [AOR: 0.4, 95% CI: 0.2 to 0.9] social related factor., Conclusion: One third of tuberculosis patients adhered to household contact screening in health facilities during their treatment course. Promoting knowledge of tuberculosis in the community and continuous health education to tuberculosis patients are recommended.