Background Suicide is a major public health problem and is common among adolescents worldwide. The true extent of the problem in Ethiopia is difficult to ascertain as suicides and suicidal behavior are significantly underreported and understudied. Objective We assessed the prevalence and factors associated with suicide ideation and suicide attempt among adolescent high school students in Dangila Town, Ethiopia. Methods This school-based cross-sectional study was conducted from April to May 2015 in Dangila Town. Data were collected from adolescent high school students using pretested, self-administered Amharic-language questionnaire. We conducted bivariable and multivariable logistic regression to identify the independent factors associated with suicide ideation and attempt. Results A total of 573 of 603 sampled students participated in the study (95% response rate). The mean (±SD) age of the respondents was 17.52 (±0.97) years. The minimum and maximum ages were 15 and 19 years, respectively. The prevalence of suicide ideation and attempt was 22.5% and 16.2%, respectively. School absenteeism [AOR 4.30, 95% CI (2.03, 9.10)] and poor social support [AOR 5.58, 95% CI (2.25, 13.84)] were positively associated with suicide ideation. Poor social support [AOR 4.55, 95% CI (1.40, 14.77)] and being physically hurt [AOR 4.25, 95% CI (1.77, 10.20)] were positively associated with suicide attempt. Unlike previous studies of adolescents in low-income countries, we find no association between gender or alcohol use and suicidal thoughts or attempts. Conclusion This study revealed that at least one in five of the adolescents in our sample had experienced suicide ideation and one in six had attempted suicide. School absenteeism, poor social support, and experience of violence were identified as independent contributors to suicide ideation and attempt. These findings suggest a need for education policymakers to implement school-based behavioral therapy programs in collaboration with health institutions and programs to provide social support for vulnerable students.

BackgroundMental disorders are always remained a neglected public health problems in low and middle-income countries (LMICs), most people with mental disorders never receive effective care and there is a large treatment gap. In order to solve the problem integration of mental health into primary health care is recommended and in Ethiopia implementation of the scale of mental health services at primary health care level was started in 2014. For the success of the integration of mental health into primary health care, primary care health professionals are the key personnel who are responsible for the management of mental, neurologic and substance use disorders. However, proper training and education of primary care health professionals is mandatory for an optimal performance and success of integration. This interventional study was conducted to assess the effectiveness of mental health training course for scale up of mental health services at primary health care level in Ethiopia.MethodsThis quasi-experimental pre- and post-study design was conducted in Ethiopia from October to December 2016 using quantitative data collection methods. A total of 94 primary health care professionals were included in the study. The intervention was conducted by psychiatry professionals using standardized World Health Organization (WHO) Mental Health Gap Action Programme (mhGAP) guide prepared for scaling up of mental health care through integration into primary health care (PHC) and general medical services. Pre- and post intervention assessment was done for knowledge, attitude and practice (KAP); and statistically analyzed. A paired sample t test with p values was performed to test the differences between the pre- and post-test. In additions mean and standard deviation of the responses were calculated. Overall the response rate was 100% at the end of the intervention.ResultsThe study resulted in a significant improvement in knowledge, attitude and practice (KAP) of PHC workers about all the four mental, neurologic and substance use disorders during the post intervention survey (p < 0.05). Post intervention the knowledge of health professionals increased by 53.19% for psychosis, 42.56% for depression, 19.25% for epilepsy and 54.22% for alcohol use disorders. Similarly, post intervention attitude increased by 55.32% for psychosis, 40.42% for depression, 36.17% for epilepsy and 43.6% for alcohol use disorders. In addition, post intervention case identification rate increased by 62.78% for psychosis, 55.46% for depression, 21.35% for epilepsy and 41.49% for alcohol use disorders with significant p value (p < 0.05).ConclusionsThe study results suggest that mental health training could be an effective intervention for improving knowledge, attitudes, and practices among primary health care professionals regarding mental, neurologic and substance use disorders. Training is a prerequisite and vital to enhance the knowledge, attitude, and practice of primary care professionals which plays a significant role for the easy success of integrated ...

BackgroundAbout 25–60% of the homeless population is reported to have some form of mental disorder. To our knowledge, there are no studies aimed at the screening, diagnosis, treatment, care, rehabilitation, and support of homeless people with mental, neurologic, and substance use (MNS) disorders in general in Ethiopia. This is the first study of its kind in Africa which was aimed at screening, diagnosis, care, treatment, rehabilitation, and support of homeless individuals with possible MNS disorder.MethodsCommunity-based survey was conducted from January to March 2015. Homeless people who had overt and observable psychopathology and positive for screening instruments (SRQ20, ASSIST, and PSQ) were involved in the survey and further assessed for possible diagnosis by structured clinical interview for DSM-IV diagnoses and international diagnostic criteria for seizure disorders for possible involvement in care, treatment, rehabilitation services, support, and training. The Statistical Program for Social Science (SPSS version 20) was used for data entry, clearance, and analyses.ResultsA total of 456 homeless people were involved in the survey. Majority of the participants were male (n = 402; 88.16%). Most of the homeless participants had migrated into Addis Ababa from elsewhere in Ethiopia and Eritrea (62.50%). Mental, neurologic, and substance use disorders resulted to be common problems in the study participants (92.11%; n = 420). Most of the participants with mental, neurologic, and substance use disorders (85.29%; n = 354) had psychotic disorders. Most of those with psychosis had schizophrenia (77.40%; n = 274). Almost all of the participants had a history of substance use (93.20%; n = 425) and about one in ten individuals had substance use disorders (10.54%; n = 48). Most of the participants with substance use disorder had comorbid other mental and neurologic disorders (83.33%; n = 40).Conclusion and recommendationMental, neurologic, and substance use disorders are common (92.11%) among street homeless people in Ethiopia. The development of centers for care, treatment, rehabilitation, and support of homeless people with mental, neurologic, and substance use disorders is warranted. In addition, it is necessary to improve the accessibility of mental health services and promote better integration between mental and primary health care services, as a means to offer a better general care and to possibly prevent homelessness among mentally ill.

Background There are limited studies on the prevalence of misdiagnosis as well as detection rates of severe psychiatric disorders in specialized and non-specialized healthcare settings. To the best of our knowledge, this is the first study to determine the prevalence of misdiagnosis and detection rates of severe psychiatric disorders including schizophrenia, schizoaffective, bipolar, and depressive disorders in a specialized psychiatric setting. Method In this cross-sectional study, a random sample of 309 patients with severe psychiatric disorders was selected by systematic sampling technique. Severe psychiatric disorders were assessed using the Structured Clinical Interview for DSM-IV (SCID). The potential determinates of misdiagnosis were explored using univariable and multivariable logistic regression models, adjusting for the potential confounding factors. Result This study revealed that more than a third of patients with severe psychiatric disorders were misdiagnosed (39.16%). The commonly misdiagnosed disorder was found to be a schizoaffective disorder (75%) followed by major depressive disorder (54.72%), schizophrenia (23.71%), and bipolar disorder (17.78%). Among the patients detected with the interview by SCID criteria, the highest level of the correct diagnosis was recorded in the medical record for schizophrenia (76.29%) followed by bipolar (72.22%), depressive (42.40%), and schizoaffective (25%) disorders with detection rate (sensitivity) of 0.76 (95% CI 0.69–0.84), 0.42 (95% CI 0.32–0.53), 0.72 (95% CI 0.60–0.84), and 0.25 (95% CI 0.09–0.41), respectively for schizophrenia, depressive, bipolar, and schizoaffective disorders. Patients with bipolar disorder were more likely to be misdiagnosed as having schizophrenia (60%), whereas schizophrenic patients were more likely to be misdiagnosed as having bipolar disorder (56.25%) and patients with depressive disorders were more likely to be misdiagnosed as having schizophrenia (54.72%). Having a diagnosis of schizoaffective and depressive disorders, as well as suicidal ideation, was found to be significant predictors of misdiagnosis. Conclusion This study showed that roughly four out of ten patients with severe psychiatric disorders had been misdiagnosed in a specialized psychiatric setting in Ethiopia. The highest rate of misdiagnosis was observed for schizoaffective disorder (3 out of 4), followed by major depressive disorder (1 out of 2), schizophrenia (1 out of 4), and bipolar disorders (1 in 5). The detection rates were highest for schizophrenia, followed by bipolar, depressive, and schizoaffective disorders. Having a diagnosis of schizoaffective and depressive disorders as well as suicidal ideation was found to be significant predictors of misdiagnosis.

Background Diabetes is a highly prevalent non-communicable disease which is prone to more psychiatric complications like suicide; however, research into this area is limited. Assessing suicidal plan and attempt as well as its determinants are therefore importan t. Method Institution based cross-sectional study was conducted from May 21 to June 21 at the diabetic outpatient clinic by recruiting 421 participants using systematic sampling. Suicide manual of the composite international diagnostic interview (CIDI) was used to assess suicidal plan and attempt. Chart review was used to obtain data regarding the co-morbidity of medical illness and complications of diabetes mellitus. Binary logistic regression was used to identify factors associated with suicidal attempt. Odds ratio with 95% CI was employed and variables with a p -value of< 0.05 in multivariable logistic regression were declared significant. Results From 423 participants 421 participated in the study with 99.5% response rate. The mean age (±SD) of the respondents was 38.0((±13.9) years. The lifetime prevalence of Suicidal plan; an attempt was found to be 10.7 and 7.6% respectively. Being female (AOR = 2.14, 95%CI:1.10,5.65), poor social support (AOR = 3.21,95%CI:1.26,8.98), comorbid depression (AOR = 6.40,95%CI:2.56,15.46) and poor glycemic control (AOR = 4.38,95%CI:1.66,9.59) were factors associated with lifetime suicidal attempt. Conclusion The prevalence of suicidal attempt among Diabetes patients is high (7.6%). The suicidal attempt had a statistically significant association with female gender, comorbidity with depression, poor social support and poor glycemic control. Therefore the result of this study helps to do early screening, treatment, and referral of patients with suicidal attempt.

Background There are limited studies regarding the magnitude of misdiagnosis as well as underdiagnosis in a specialized psychiatric setting. Thus far, to the best of our knowledge, this is the first study that determined the epidemiology of misdiagnosis as well as detection rates of severe psychiatric disorders including schizophrenia, schizoaffective, bipolar, and depressive disorders in a specialized psychiatric setting. Method In this cross-sectional study, a random sample of 309 patients with severe psychiatric disorders were selected by systematic sampling technique. Severe psychiatric disorders were measured by structured clinical interview for DSM-IV (SCID). The potential determinates of misdiagnosis were explored using binary and multivariable logistic regression models, adjusting for the potential confounding factors. Result The current study demonstrated that a remarkable proportion (39.16%) of people with severe psychiatric disorders were misdiagnosed. The commonly misdiagnosed disorder was found to be schizoaffective disorders (75%) followed by major depressive disorder (54.72%), schizophrenia (23.71%), and bipolar disorder (17.78%). Among the patients detected with the interview by SCID criteria, the highest level of the correct diagnosis was recorded in the medical record for schizophrenia (76.29%) followed by bipolar (72.22%), depressive (42.40%), and schizoaffective (25%) disorders with detection rate (sensitivity) of 0.76 (95%CI 0.69-0.84), 0.42 (95%CI 0.32-0.53), 0.72 (95%CI 0.60-0.84), and 0.25 (95%CI 0.09-0.41), respectively for schizophrenia, depressive, bipolar, and schizoaffective disorders. This study revealed that bipolar disorder patients are more likely to be diagnosed as schizophrenia (60%) whereas schizophrenia was most likely diagnosed as bipolar disorder (56.25%) and depressive disorders as schizophrenia (54.72%). Having a diagnosis of schizoaffective and depressive disorders as well as suicidal ideation were found to be significant predictors of misdiagnosis. Conclusion The current study revealed that four out of ten patients with severe psychiatric disorders are misdiagnosed in a specialized psychiatric setting in Ethiopia. The highest rate of misdiagnosis was observed for schizoaffective disorder (3 out of 4), followed by major depressive disorder (1 out of 2), schizophrenia (1 out of 4), and bipolar disorders (1 in 5). The detection rates were highest for schizophrenia, followed by bipolar, depressive, and schizoaffective disorders. Having a diagnosis of schizoaffective and depressive disorders as well as suicidal ideation were found to be significant predictors of misdiagnosis.

Background Job loss in patient with chronic illness like schizophrenia is the most serious public concern in the clinical and socio-economic terms worldwide. Patients with schizophrenia usually have unsatisfactory job termination like quitting or getting fired which results well-established negative outcomes. The complex interplay between one another has made job and mental illness the focus areas. In the developing nations, there is limited study on these areas in spite of higher rates of job loss. Objectives This study aimed to assess the prevalence and correlates of job loss among schizophrenia outpatient units in Addis Ababa, Ethiopia. Methods Institutional based cross-sectional study was conducted at Saint Amanuel Mental Specialized Hospital among schizophrenia outpatient units in Addis Ababa from May to June 2018. A total of 421 study subjects were interviewed using Positive and Negative Syndrome Scale and Perceived devaluation and discrimination scale. Out of the total study participants, female populations were slightly higher (50.4%) and the majorities (38.6%) were orthodox religion followers. Study characteristics was summarized using descriptive statistics and bi-variable and multivariable analysis was performed using Statistical Package for Social Science version 24. Furthermore, those factors at p value ≤ 0.05 were considered as statistically significant. Results The prevalence of job loss among patients with schizophrenia was 37.3%. Factors including unmarried [AOR = 2.42:95% CI (1.28, 4.54)], divorced [AOR = 2.34: 95% CI (1.16, 4.71)], severe positive symptoms [AOR = 2.03: 95% CI (1.15, 3.60)], severe general psychopathology [AOR = 1.76: 95% CI (1.01, 3.08)], and poor level of social and occupational functioning [AOR = 5.05: 95% CI (2.81, 9.09)] were significantly associated with job loss among schizophrenia people. Conclusion This study suggested that job loss among schizophrenia outpatients was high. There was significant association among people with unmarried, divorced, severe positive symptoms, poor functionality and higher general psychopathology. Therefore, clinical and psychosocial factors were responsible for job loss which warrant further attention and investigation.

Background: Worldwide, there is limited epidemiologic evidence on the seroprevalence of undiagnosed chronic viral infections including HIV, hepatitis B virus (HBV) and hepatitis C virus (HCV) infections among patients with severe psychiatric disorders. To our knowledge, this is the first study to explore and compare undiagnosed seroprevalence rates of HIV, HBV, and HCV infections among patients with severe psychiatric disorders. Method: In this study, we included a random sample of 309 patients with severe psychiatric disorders selected by systematic sampling technique. We used a structured clinical interview for DSM-IV (SCID) to confirm the diagnosis of severe psychiatric disorders among the participants. Binary and multivariable logistic regression models, adjusting for the potential confounding factors was used to explore the potential determinants of chronic viral infections. Result: The prevalence estimates of HIV infection among patients with severe psychiatric disorders in this study (3.24%) was roughly 3 times the estimated population prevalence of HIV infection in Ethiopia (1.1%). This study showed that the prevalence rates of HBV and HCV infections among patients with severe psychiatric disorders were 4.85 and 1.29%, respectively. Our results also showed that among patients with chronic viral infections, HIV, HBV and HCV, 76.92, 60, 80, and 75% respectively were undiagnosed. Regarding associated factors, the presence of chronic viral infection was found to be significantly associated with the age of the participants (ranging between 30 and 40 years) after adjusting for the possible confounding factors [AOR = 3.95 (95%CI.18-13.17)]. Conclusion: Even though the prevalence estimates of HIV (3.24%), HBV (4.85%), and HCV (1.29%) infections were high among patients with severe psychiatric disorders, the majority of them remained undiagnosed. HBV was found to be the commonly undiagnosed infection (4 out of 5) followed by HCV (3 out of 4) and HIV (6 out of 10). The present study provided evidence of a significant association between the age of the participant (between 30 and 40 years) and chronic viral infections in patients with severe psychiatric disorders. Increasing the awareness of psychiatry professionals and early screening, as well as interventions of chronic viral infections among patients with severe psychiatric disorders are imperative.