Effect of the data-informed platform for health intervention on the culture of data use for decision-making among district health office staff in North Shewa Zone, Ethiopia: a cluster-randomised controlled trial.

BACKGROUND: Similar to other low and middle-income countries, Ethiopia faces limitations in using local health data for decision-making.We aimed to assess the effect of an intervention, namely the data-informed platform for health, on the culture of data-based decision making as perceived by district health office staff in Ethiopia's North Shewa Zone. METHODS: By designating district health offices as 'clusters', a cluster-randomised controlled trial was implemented. Out of a total of 24 districts in the zone, 12 districts were allocated to intervention arm and the other 12 in the control group arms. In the intervention arm district health office teams were supported in four-monthly cycles of data-driven decision-making over 20 months. This support included: (a) defining problems using a health system framework; (b) reviewing data; (c) considering possible solutions; (d) value-based prioritizing; and (e) a consultative process to develop, commit to, and follow up on action plans. To measure the culture of data use for decision-making in both intervention and control arms, we interviewed 120 health management staff (5 per district office). Using a Likert scale based standard Performance of Routine Information System Management tool, the information is categorized into six domains:- evidence-based decision making, emphasis on data quality, use of information, problem solving, responsibility and motivation. After converting the Likert scale responses into percentiles, difference-in-difference methods were applied to estimate the net effect of the intervention. In intervention districts, analysis of variance was used to summarize variation by staff designation. RESULTS: The overall decision-making culture in health management staff showed a net improvement of 13% points (95% C.I:9, 18) in intervention districts. The net effect of each of the six domains in turn was an 11% point increase (95% C.I:7, 15) on culture of evidence based decision making, a 16% point increase (95% C.I:8, 24) on emphasis on data quality, a 20% point increase (95% C.I:12, 28) on use of information, a 21% point increase (95% C.I:13, 29) on problem solving, and a 10% point increase (95% C.I:4, 16) on responsibility and motivation. In terms of variation by staff designation within intervention districts, statistically significant differences were observed only for problem solving and responsibility. CONCLUSION: The data-informed platform for health strategy resulted in a measurable improvement in data use and structured decision-making culture by using existing systems, namely the Performance Monitoring Team meetings. The intervention supported district health offices in identifying and solving problems through a structured process. After further research, DIPH intervention could also be applied to other health administration and facility levels. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT05310682, Dated 25/03/ 2022.

Health system's availability and readiness of health facilities for chronic non-communicable diseases: Evidence from the Ethiopian national surveys.

INTRODUCTION: Non-communicable diseases (NCDs) currently cause more deaths than all other causes of deaths. Cardiovascular disease, diabetes, cancer, and chronic respiratory diseases-threaten the health and economies of individuals and populations worldwide. This study aimed to assess the availability and readiness of health facilities for chronic non-communicable diseases (NCDs) and describe the changes of service availability for common NCDs in Ethiopia. Methods We used data from the 2014 Ethiopia Service Provision Assessment Plus (ESPA +) and 2016 and 2018 Service Availability and Readiness Assessment (SARA) surveys, which were cross-sectional health facility-based studies. A total of 873 health facilities in 2014, 547 in 2016, 632 in 2018 were included in the analysis. (ESPA+) and SARA surveys are conducted as a census or a nationally/sub-nationally representative sample of health facilities. Proportion of facilities that offered the service for diabetes, cardiovascular disease, chronic respiratory disease, cancer diseases, mental illness, and chronic renal diseases was calculated to measure health service availability. The health facility service readiness was measured using the mean availably of tracer items that are required to offer the service. Thus, 13 tracer items for diabetes disease, 12 for cardiovascular disease, 11 for chronic respiratory disease and 11 cervical cancer services were used. RESULTS: The services available for diagnosis and management did not show improvement between 2014, 2016 and 2018 for diabetes (59%, 22% and 36%); for cardiovascular diseases (73%, 41% and 49%); chronic respiratory diseases (76%, 45% and 53%). Similarly, at the national level, the mean availability of tracer items between 2014, 2016 and 2018 for diabetes (37%, 53% and 48%); cardiovascular diseases (36%, 41% and 42%); chronic respiratory diseases (26%, 27% and 27%); and cancer diseases (6%, 72% and 51%). However, in 2014 survey year, the mean availability of tracer items was 7% each for mental illness and chronic renal diseases, respectively. CONCLUSIONS: The majority of the health facilities have low and gradual decrement in the availability to provide NCDs services in Ethiopia. There is a need to increase NCD service availability and readiness at primary hospitals and health centers, and private and rural health facilities where majority of the population need the services.

Modern contraception utilization and associated factors among all women aged 15-49 in Ethiopia: evidence from the 2019 Ethiopian Mini Demographic and Health Survey.

BACKGROUND: The use of contraceptive is key in reducing unsafe abortion from unintended pregnancies, infant mortality, adolescent pregnancies, slowing population growth and helps to prevent HIV/AIDS. However, less than one-third of women within reproductive age in Ethiopia uses modern contraceptive methods. Hence, this study aimed to determine the prevalence of modern contraceptive utilization and to identify potential factors on use of modern contraceptive method. METHODS: Data from 2019 Ethiopian Mini Demographic and Health Survey were used in this analysis. A total of 8885 women within the ages of 15-49 years across 305 enumeration areas in nine regions and two city administrations were included in the analysis. Multivariable logistic regression model were applied to examine the association between women's background characteristics and modern contraceptives utilization. RESULTS: Only 28.1% of all women used modern contraceptives. About 40% of the modern contraceptive users were between age of 25-29 and 30-34 years. There was significant association between women's age, level of education, region, religion, parity, wealth quintile and marital status on use of modern contraceptives. Women who were married and living with partners were about 20 (AOR = 19.91, 95% CI: 14.27, 27.78) and 24 (AOR = 23.51, 95% CI: 14.66, 37.72) times more likely to use modern contraceptives compared to sexually active unmarried women. CONCLUSION: The study showed that the use of modern contraceptive method is not adequate and it is also influenced by socio-demographic and economic characteristics of women in Ethiopia. Therefore, increasing the awareness of women to use modern contraceptive methods is vital. We suggest that there is a need to improve the service in women age above 39 years, women in Afar, Somali, Harari and Diredawa regions; and protestant, Muslim and traditional religion followers.

Prevalence of high bloodpressure, hyperglycemia, dyslipidemia, metabolic syndrome and their determinants in Ethiopia: Evidences from the National NCDs STEPS Survey, 2015.

The prevalence of diabetes, dyslipidemias, and high blood pressure is increasing worldwide especially in low and middle income countries. World Health Organization has emphasized the importance of the assessment of the magnitude of the specific disease in each country. We determined the prevalence and determinant factors of high blood pressure, hyperglycemia, dyslipidemias and metabolic syndrome in Ethiopia. A community based survey was conducted from -April to June 2015 using WHO NCD STEPS instrument version 3.1. 2008. Multistage stratified systemic random sampling was used to select representative samples from 9 regions of the country. A total of 10,260 people aged 15-69 years participated in the study. Blood pressure (BP) was measured for 9788 individuals. A total of 9141 people underwent metabolic screening. The prevalence of raised blood pressure (SBP ≥140 and/or DBP ≥ 90 mmHg) was 15.8% (16.3% in females and 15.5% in males). The prevalence of diabetes mellitus (FBS ≥ 126 mg /dl) including those on medication was 3.2% (3.5% males and 3.0% females). The prevalence of impaired fasting glucose was 9.1% with ADA criteria and 3.8% with WHO criteria. Hypercholesterolemia was found in 5.2%, hypertriglyceridemia in 21.0%, high LDL cholesterol occurred in 14.1% and low HDL cholesterol occurred in 68.7%. The prevalence of metabolic syndrome using IDF definition was 4.8% (8.6% in females and vs. 1.8% in males). Advanced age, urban residence, lack of physical exercise, raised waist circumference, raised waist hip ratio, overweight or obesity, and total blood cholesterol were significantly associated with raised blood pressure (BP) and diabetes mellitus. Increased waist- hip ratio was an independent predictor of raised blood pressure, hyperglycemia and raised total cholesterol. Our study showed significantly high prevalence of raised blood pressure, hyperglycemia and dyslipidemia in Ethiopia. Community based interventions are recommended to control these risk factors.