ObjectiveTo assess the prevalence of depression, anxiety and stress and its determinant factors during COVID-19 pandemic among healthcare professionals in southern Ethiopia.DesignMulti-centre cross-sectional study.Setting and study periodRandomly selected public hospitals in Sidama, southern Ethiopia between 25 September 2020 and 25 October 2020.Participants387 healthcare professionals were randomly selected.Outcome measuresPrevalence and determinant factors of depression, anxiety and stress was assessed.ResultDepression, anxiety and stress prevalence were shown to be 50.1% (95% confidence interval (CI) 45.0% to 55.0%), 55.0% (95% CI 51.1% to 59.9%) and 38.5% (95% CI 33.6% to 43.2%), respectively. Being female (adjusted odd ratio (AOR) 3.71, 95% CI 2.31 to 5.97), married (AOR 2.28, 95% CI 1.34 to 3.86), living alone (AOR 1.87, 95% CI 1.09 to 3.20), nurses (AOR 2.94, 95% CI 1.44 to 5.99) and working in inpatients (AOR 0.53, 95% CI 0.29 to 0.93) were significantly associated with depressive symptoms. Moreover, older age groups (AOR 3.15, 95% CI 1.04 to 6.56), females (AOR 3.25, 95% CI 2.01 to 5.25), married (AOR 1.69, 95% CI 1.01 to 2.87) and nurses (AOR 3.32, 95% CI 1.63 to 6.78) were significantly associated with symptoms of anxiety. Stress symptoms were significantly high among females (AOR 2.47, 95% CI 1.53 to 3.97), married (AOR 2.77, 95% CI 1.60 to 4.78), living alone (AOR 2.01, 95% CI 1.15 to 3.52), nurses (AOR 2.34, 95% CI 1.11 to 4.92) and working in units other than emergency (inpatient (AOR 0.32, 95% CI 0.18 to 0.57) and other units (AOR 0.48, 95% CI 0.25 to 0.95)).ConclusionThe current study found that healthcare professionals have high levels of depression, anxiety and stress symptoms. Sex, age, marital status, type of profession, living status and working environment were significant factors for mental health problems in healthcare professionals during the pandemic. Healthcare professionals require mental health support at which monitoring and control can be performed during and after the pandemic.

Background: COVID-19 causes immense psychological pressure on communities in addition to physical misery. There is currently a scarcity of data on the psychological impact of the COVID-19 epidemic on Ethiopian healthcare workers (HCWs). Therefore, this study was aimed to assess the post-traumatic stress disorder (PTSD) symptoms and its predictors following COVID-19 pandemic among healthcare workers (HCWs) in southern Ethiopia.Methods: A hospital based cross-sectional study design was used among 387 randomly selected HCWs between September 25 and October 25, 2020 at four selected public hospitals in Sidama National Regional State, southern Ethiopia. Impact of Event Scale-Revised (IES-R) was used to collect data post-traumatic stress disorder (PTSD) symptoms. Logistic regression analyses with 95% CI were used to examine the relationship between independent and outcome variables.Result: The prevalence of PTSD symptoms was found in 56.8% of participants. Significant factors that increase risk of PTSD symptoms were being female (AOR = 1.91, 95% CI = 1.19, 3.05), married (AOR = 1.87, 95% CI = 1.12, 3.14) and nurses (AOR = 3.31, 95% CI = 1.66, 6.63). On the other hand, HCWs working other than emergency unit such as inpatients/wards (AOR = 0.43, 95% CI = 0.24, 0.75), OPD (AOR = 0.48, 95% CI = 0.24, 0.97) and other units (AOR = 0.49, 95% CI = 0.25, 0.96) less likely to be affected by PTSD symptoms.Conclusion: The current study showed high levels of PTSD symptoms as psychological challenges for HCWs. Sex, age, marital status, type of profession and working environment were significant factors for PTSD symptoms in HCWs during the pandemic. HCWs require mental health support during and after the pandemic.

BackgroundThe COVID-19 outbreak became a continuing global health agenda. It has a significant impact on individuals’ quality of life (QOL). Patients with preexisting medical conditions may have severely reduced QOL. The aim of this study was to assess QOL and its associated factors among patients with chronic non-communicable diseases (NCDs) during COVID-19 pandemic at Sidama Regional State, southern Ethiopia.MethodsWe conducted a multicenter, cross-sectional study from 1 June to 1 September 2021. A total of 633 participants took part in the study, using an interviewer-administered structured questionnaire. The QOL was measured using the World Health Organization Quality of Life (WHOQOL-BREF) Scale, which has 12 items. To describe different variables, descriptive statistics were employed. To find independent factors associated with QOL, we used multivariable linear regression analysis. P-value of < 0.05 was declared statistically significant at 95% confidence interval (CI).ResultsThe majority (56.4%) of participants were male and about half (53.1%) had a diagnosis of diabetes mellitus. The multivariable linear regression model showed statistically significant negative association between different independent variables such as age (β = −0.188, 95% CI = −0.238 to −0.139), being female (β = −1.942, 95% CI = −3.237 to −0.647), duration of illness ≤ 5 years (β = −4.222, 95% CI = −6.358 to −2.087), alcohol use in the past 3 months (β = −4.574, 95% CI = −6.905 to −2.243), common mental disorder (CMD) (β = −1.512, 95% CI = −2.924 to −0.100), insomnia (β = −0.274, 95% CI = −0.380 to −0.168), and QOL. Also, there is a statistically significant positive association between QOL and being illiterate (β = 3.919, 95% CI = 1.998–5.841) and living in the rural area (β = 2.616, 95% CI = 1.242–3.990).ConclusionIn general, the findings confirmed that the COVID-19 pandemic had a negative impact on patients with chronic NCDs QOL. The QOL was significantly influenced by age, gender, educational status, residence area, duration of illness, alcohol use, CMD, and insomnia during COVID-19 pandemic. Thus, this study suggests that addressing insomnia, co-morbidities of mental disorders, and alcohol use has the potential effect to improve the QOL of patients with chronic medical illnesses.

BackgroundPeople with mental illness (PWMI) have declining health related quality of life (HRQoL), which is frequently equivalent to or greater than that of medical disorders. Although, HRQoL is rapidly being recognized as an essential treatment outcome indicator in modern psychiatry, research on the identification and significance of factors impacting QoL in PWMI is still in its early stages.ObjectiveThe aim of this study was to identify predictors of HRQoL among people with mental illness who underwent outpatient follow-up in Sidama region, southern Ethiopia.MethodsWe conducted a multicenter, cross-sectional study from April-1, to May-30, 2022. A total of 412 participants took part in the study, using an interviewer-administered structured questionnaire. The HRQoL was measured using the 12-item Short-Form Health Survey-Version 2 (SF-12v2) scale. To describe different variables, descriptive statistics were employed. To find independent HRQoL predictors, we used multivariable linear regression analysis. P-value of <0.05 were declared statistically significant at 95% confidence interval (CI).ResultOut of 412 participants, nearly two-third 261 (63.3%) were male and nearly half 203 (49.3%) were diagnosed as schizophrenia. HRQoL was positively associated with social support (β = 0.321) and being single (β = 2.680). Conversely, functional disability (β = −0.545), being a student (β = −4.645) and jobless (β = −3.279) by occupation, and being diagnosed with depression (β = −2.839) were negatively impacted HRQoL among PWMI.ConclusionHRQoL of people with mental disorders in this study was significantly associated to social support, marital status, occupation, diagnosis and level of functional disability. Therefore, the mental health care system should develop HRQoL promoting measures that enhance PWMI functioning, social support and employment.

Background. People with schizophrenia (PWS) are at greater risk of suicide. However, suicide behaviors that occur in PWS are often overlooked, inadequately characterized, and not consistently integrated into treatment. Despite this burden and consequences in Ethiopia, there is a dearth of studies concerning suicide behavior in PWS. Therefore, this study is aimed at assessing the magnitude of suicide behavior and its predictors among PWS in Ethiopia. Methods. An institution based cross-sectional study was employed. Data were collected using the structured interviewer-administered questionnaire from a sample of 300 PWS at Amanuel Mental Specialized Hospital (AMSH). The revised version of Suicide Behavior Questionnaire (SBQ-R) was used to assess suicide behavior in PWS. The data was collected from March 1 to 30, 2019. Binary logistic regression was performed to identify independent predictors of suicidal behavior at 95% confidence level. Statistical significance was declared at p value <0.05. Result. A total of 300 patients with schizophrenia participated in the study. More than two-thirds of 203 (67.7%) of the participants were males, and 116 (38.7%) participants were between the ages of 28 and 37 years. We found that the prevalence of suicide behavior among PWS was 30.3%. Being unemployed ( AOR = 3.65 , CI = 1.32 , 10.05), family history of suicide ( AOR = 3.16 , CI = 1.38 , 7.23), substance use ( AOR = 2.51 , CI = 1.13 , 5.59), current positive psychotic symptoms (hallucination ( AOR = 6.39 , CI = 2.86 , 14.29), and delusion ( AOR = 4.15 , CI = 1.95 , 14.29) and presence of comorbid depression ( AOR = 4.81 , CI = 1.98 , 11.68) were independent significant predictors with suicidal behavior in PWS. Conclusion. The prevalence of suicidal behavior among PWS was found to be high. Hence, designing strategies for early screening and intervention is the most critical prevention strategy of suicide in PWS.

BackgroundThe occurrence of depression in patients with schizophrenia (PWS) increases the risk of relapse, frequency and duration of hospitalisation, and decreases social and occupational functioning.ObjectiveThis study aimed to assess prevalence of unrecognised comorbid depression and its determinants in PWS.MethodA cross-sectional study was conducted from 1 to 30 March 2019 at Amanuel mental specialized hospital among 300 PWS. The 9-item Calgary Depression Scale for Schizophrenia was used to assess comorbid depression. Logistic regression was used to determine the association between outcome and explanatory variables. Statistical significance was declared at p value <0.05 with 95% CI.ResultsThe prevalence of unrecognised comorbid depression was found to be 30.3%. Living alone (adjusted OR (AOR)=3.49, 95% CI=0.45 to 8.36), having poor (AOR=4.43, 95% CI=1.45 to 13.58) and moderate (AOR=4.45, 95% CI=1.30 to 15.22) social support, non-adherence to medication (AOR=3.82, 95% CI=1.70 to 8.55), presenting with current negative symptoms such as asocialia (AOR=4.33, 95% CI=1.98 to 9.45) and loss of personal motivation (AOR=3.46, 95% CI=1.53 to 7.84), and having suicidal behaviour (AOR=6.83, 95% CI=3.24 to 14.41) were the significant predictors of comorbid depression in PWS.ConclusionThis study revealed considerably a high prevalence of unrecognised comorbid depression among PWS. Therefore, clinicians consider timely screening and treating of comorbid depression in PWS.