Infection prevention and control practices in the Pediatrics and Child Health Department of Tikur Anbessa Specialized Hospital, Ethiopia.

Background: Infection prevention and control (IPC) is a set of practices that are designed to minimize the risk of healthcare-associated infections (HAIs) spreading among patients, healthcare workers, and visitors. Implementation of IPC is essential for reducing infection incidences, preventing antibiotic use, and minimizing antimicrobial resistance (AMR). The aim of the study was to assess IPC practices and associated factors in Pediatrics and Child Health at Tikur Anbessa Specialized Hospital. Methods: In this study, we used a cross-sectional study design with a simple random sampling method. We determined the sample size using a single population proportion formula with the assumption of a 55% good IPC practice, a 5% accepted margin of error, and a 15% non-response rate and adjusted with the correction formula. The final sample size was 284 healthcare workers. The binary logistic regression model was used for analysis. The World Health Organization (WHO) Infection Prevention and Control Assessment Framework (IPCAF) tool was used to assess IPC core components. Result: A total of 272 healthcare workers participated in the study, with a response rate of 96%. Of the total participants, 65.8% were female and 75.7% were nurses. The overall composite score showed that the prevalence of good IPC practices among healthcare workers was 50.4% (95% CI: 44.3-56.5). The final model revealed that nursing professionals and healthcare workers who received IPC training had AORs of 2.84 (95% CI: 1.34-6.05) and 2.48 (95% CI: 1.36-4.52), respectively. The final average total IPCAF score for the IPC level was 247.5 out of 800 points. Conclusion: The prevalence of good IPC practice was suboptimal. The study participants, who were nursing professionals and healthcare workers who received IPC training, showed a statistically significant association with the IPC practice level. The facility-level IPCAF result showed a "Basic" level of practice based on the WHO categorization. These evidences can inform healthcare workers and decision-makers to identify areas for improvement in IPC practice at all levels. Training of healthcare workers and effective implementation of the eight IPC core components should be strengthened to improve suboptimal practices.

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.

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 rural­urban 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

Health-Related Quality of Life Using EQ-5D-3L Utility Score Among Type 2 Diabetes Patients: Experiences from Tigray Region, Northern Ethiopia.

Purpose: To assess the health-related quality of life and associated factors among type 2 diabetic patients in Ayder Comprehensive Specialized Hospital, Northern Ethiopia, 2019. Patients and Methods: A hospital-based cross-sectional study was conducted among 415 type 2 diabetic patients coming to receive their routine outpatient follow-up service during the study period, from January 1, 2019, to March 31, 2019, in Ayder Comprehensive Specialized Hospital, Northern Ethiopia. The EQ-5D-3L instrument was used to assess the patients' self-reported health status and a multivariable ordinal logistic regression model was used to determine the independent factors associated with the health-related quality of life and P-value <0.05 was used to declare statistical significance. Results: The total mean quality of life score was 0.73 ± 0.23 with the total quality-adjusted life year of 2172.60 per life years and an average of 7.4 years of follow-up with type 2 diabetic treatments. Quality of life of type 2 diabetic patients with level two and three anxious patients were 77% and almost three times more likely to be affected than level one anxious patients (AOR = 1.77; 95% CI 1.23-1.86) and (AOR = 2.74; 95% CI 1.24-2.84) respectively. Older age, occupational status, lower monthly income, long waiting time, and presence of diabetic complications were significantly associated with impaired health-related quality of life. Conclusion: The results of this study revealed a relatively low health status among type 2 diabetic patients. Quality of life of type 2 diabetic patients was mostly affected in the anxiety and depression component. It could be worthwhile if hospitals assign psychiatric professionals for the regular and effective counseling of diabetic patients.

Data quality assessment and associated factors in the health management information system among health centers of Southern Ethiopia.

BACKGROUND: A well designed Health management information system is necessary for improving health service effectiveness and efficiency. It also helps to produce quality information and conduct evidence based monitoring, adjusting policy implementation and resource use. However, evidences show that data quality is poor and is not utilized for program decisions in Ethiopia especially at lower levels of the health care and it remains as a major challenge. METHOD: Facility based cross sectional study design was employed. A total of 18 health centers and 302 health professionals were selected by simple random sampling using lottery method from each selected health center. Data was collected by health professionals who were experienced and had training on HMIS tasks after the tools were pretested. Data quality was assessed using accuracy, completeness and timeliness dimensions. Seven indicators from national priority area were selected to assess data accuracy and monthly reports were used to assess completeness and timeliness. Statistical software SPSS version 20 for descriptive statistics and binary logistic regression was used for quantitative data analysis to identify candidate variable. RESULT: A total of 291 respondents were participated in the study with response rate of 96%. Overall average data quality was 82.5%. Accuracy, completeness and timeliness dimensions were 76%, 83.3 and 88.4 respectively which was lower than the national target. About 52.2% respondents were trained on HMIS, 62.5% had supervisory visits as per standard and only 55.3% got written feedback. Only 11% of facilities assigned health information technicians. Level of confidence [AOR = 1.75, 95% CI (0.99, 3.11)], filling registration or tally completely [AOR = 3.4, 95% CI (1.3, 8.7)], data quality check, supervision AOR = 1.7 95% CI (0.92, 2.63) and training [AOR = 1.89 95% CI (1.03, 3.45)] were significantly associated with data quality. CONCLUSION: This study found that the overall data quality was lower than the national target. Over reporting of all indicators were observed in all facilities. It needs major improvement on supervision quality, training status to increase confidence of individuals to do HMIS activities.