Depressive symptoms and associated factors in medical interns at a tertiary hospital

Depression and Burnout among Health Extension Workers in Ethiopia: A Cross-Sectional Study

Background

Depression and burnout are common among healthcare workers (HCWs) and negatively affect their well-being and the quality of the service they provide. However, the burden of depression and burnout among health extension workers (HEWs) in Ethiopia and their relationship has not been documented well.The objective of this study was to estimate the prevalence of depression and burnout among HEWs in Ethiopia and to investigate the relationship between these conditions.

Materials and Methods

We used a cross-sectional study design and collected data from 584 rural and 581 urban HEWs in Ethiopia, as part of the 2019 national health extension program assessment. The Patient Health Questionnaire (PHQ-9) and Burnout Self-Test were used to screen HEWs for depression and burnout, respectively. We used descriptive statistics to estimate the magnitude of depression and burnout, and logistic regression to examine their relationship.

Result

Based on PHQ-9 cutoff scores of 10, the prevalence of major depression was 16.5% among rural and 8.9% among urban HEWs, whereas burnout risk was 39.8% among rural and 12.6% among urban HEWs. The odds of having depression among HEWs with burnout risk was relatively higher compared to those without burnout risk [For rural HEWs, the adjusted odds ratio (AOR) is 11.88 at a 95% confidence interval (CI; 5.27, 26.80), and for urban HEWs, the AOR is 11.49 at a 95% CI (5.35, 24.63)].

Conclusion

The prevalence of depression and burnout is high among HEWs in Ethiopia, with a significant rural-urban difference, and burnout is a significant predictor of depression. Mental health interventions that enable prevention, early detection, and management are needed especially for rural HEWs who are in charge of preventive health service delivery for the disadvantaged rural communities.

Burnout, anxiety and depression risk in medical doctors working in KwaZulu-Natal Province, South Africa: Evidence from a multi-site study of resource-constrained government hospitals in a generalised HIV epidemic setting

Globally, burnout in medical doctors (MDs) is concerning, with higher rates reported in studies conducted in South Africa (SA). This psychological syndrome leads to serious health consequences, and jeopardises patient care. Despite this, there is no data pertaining to these potential adverse mental health outcomes in KwaZulu-Natal (KZN) Province, SA, where it is overshadowed by the fight against priorities such as HIV and AIDS/TB. This study therefore aimed to establish the nature and extent of burnout, anxiety and depressive symptoms and their associations among public sector MDs in KZN. A cross sectional study was conducted among MDs at five KZN public sector training hospitals to investigate their associations with practitioner (individual) and organisational factors using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS), the Generalised Anxiety Disorder-7 (GAD-7) questionnaire and the Patient Health Questionnaire-9 (PHQ-9). Of the 150 participants, 88 (59.0%) screened positive for burnout, as indicated by high scores on the emotional exhaustion or depersonalisation subscales in the MBI-HSS. One fifth screened positive for anxiety (n = 30) and depressive symptoms (n = 32). Burnout was significantly associated with individual factors of anxiety (p<0.01) and depressive (p<0.01) symptoms based on adjusted logistic regression models. Organisational factors, such as lack of clinical supervisor support (p<0.01) and hospital resources (p<0.01), were significantly associated with burnout based on the bivariate analyses. Burnout, anxiety and depressive symptoms in MDs are highly prevalent and intertwined in resource constrained KZN public training hospitals. Addressing burnout at individual and organisational levels is important to mitigate its adverse effects.

Validity of self-reporting depression in the Tabari cohort study population

Aims

Depression is a common cause of mortality and morbidity worldwide. To detect depression, we compared BDI‐II scoring as a valid tool with participants' self‐reporting depression.

Methods

The sample size was determined to include 155 participants with positive self‐reporting of depression in a total of 1300 samples with 310 healthy participants were included in the study through random selection. In order to evaluate the diagnostic value of self‐reporting, BDI‐II was completed by blind interviewing to the case group as well as to another group who reported that they were not depressed, as control.

Results

Sensitivity, specificity, accuracy, false positive, false negative, positive, and negative predictive values of self‐reporting were calculated 58.4%, 79.1%,73.4%, 20.8%, 41.6%, 51.8%, and 83.2% for the total population, respectively, as well as, sensitivity, specificity, accuracy, positive, and negative predictive values of self‐report in males were 83.3%, 77.2%, 77.1%, 43.8%, and 95.6% and 53.7%, 78.1%, 71.2%, 49.2%, and 81.1% for females, respectively.

Conclusion

The positive predictive value and sensitivity of self‐reporting are insufficient in total population and females, and therefore self‐reporting cannot detect depressed patients, but regarding to its average positive predictive value, perhaps, it can be used to identify nondepressant individuals.

The positive predictive value and sensitivity of self‐reporting are insufficient in total population and females, and therefore self‐reporting cannot detect depressed patients, but regarding its average positive predictive value, perhaps, it can be used to identify nondepressant individuals.