Measuring progress towards universal health coverage: National and subnational analysis in Ethiopia

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Study Justification:
– Universal health coverage (UHC) is a country-level goal that requires measurement and tracking of progress over time.
– Few studies monitor UHC in low-income countries, and there is no such study for Ethiopia.
– This study aimed to estimate the national and subnational UHC service coverage status for Ethiopia in 2015.
Highlights:
– The overall UHC service coverage for Ethiopia in 2015 was 34.3%.
– There was significant variation in coverage across regions, ranging from 52.2% in Addis Ababa to 10% in the Afar region.
– Coverage for non-communicable diseases, reproductive, maternal, neonatal and child health, and infectious diseases were 35%, 37.5%, and 52.8% respectively.
– The national UHC service capacity and access coverage was only 20%, with large variations across regions.
Recommendations:
– Ethiopia should rapidly scale up promotive, preventive, and curative health services through increased investment in primary healthcare.
– Policymakers at the regional and federal levels should take corrective measures to narrow the gap across regions, such as redistributing the health workforce, increasing resources allocated to health, and providing focused technical and financial support to low-performing regions.
Key Role Players:
– Federal Ministry of Health
– Regional Health Bureaus (RHBs)
– Health professionals
– External sources providing earmarked budget for specific programs
– Ministry of Health (distributing un-earmarked funds from the SDG pool fund)
Cost Items to Include in Planning:
– Salaries for health professionals
– Procurement of medical supplies
– Procurement of drugs
– Construction and expansion of health centers and primary hospitals

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study provides a comprehensive analysis of the national and subnational UHC service coverage in Ethiopia using a variety of data sources. The methodology is clearly described, and the results show the coverage percentages for different health categories and regions. However, the abstract does not mention the sample size or the representativeness of the data sources used, which could affect the generalizability of the findings. To improve the evidence, the authors should provide more information about the sample size and the representativeness of the data sources. Additionally, it would be helpful to include information about the statistical methods used to estimate the coverage percentages and any potential limitations of the study.

Introduction Aiming for universal health coverage (UHC) as a country-level goal requires that progress is measured and tracked over time. However, few national and subnational studies monitor UHC in low-income countries and there is none for Ethiopia. This study aimed to estimate the 2015 national and subnational UHC service coverage status for Ethiopia. Methods The UHC service coverage index was constructed from the geometric means of component indicators: first, within each of four major categories and then across all components to obtain the final summary index. Also, we estimated the subnational level UHC service coverage. We used a variety of surveys data and routinely collected administrative data. Results Nationally, the overall Ethiopian UHC service coverage for the year 2015 was 34.3%, ranging from 52.2% in the Addis Ababa city administration to 10% in the Afar region. The coverage for non-communicable diseases, reproductive, maternal, neonatal and child health and infectious diseases were 35%, 37.5% and 52.8%, respectively. The national UHC service capacity and access coverage was only 20% with large variations across regions, ranging from 3.7% in the Somali region to 41.1% in the Harari region. Conclusion The 2015 overall UHC service coverage for Ethiopia was low compared with most of the other countries in the region. Also, there was a substantial variation among regions. Therefore, Ethiopia should rapidly scale up promotive, preventive and curative health services through increasing investment in primary healthcare if Ethiopia aims to reach the UHC service coverage goals. Also, policymakers at the regional and federal levels should take corrective measures to narrow the gap across regions, such as redistribution of the health workforce, increase resources allocated to health and provide focused technical and financial support to low-performing regions.

Ethiopia is the second most populous country in Africa, with a total population of about 105 million in 2016.16 Administratively, Ethiopia is divided into nine regional states (Tigray, Afar, Amhara, Oromia, BenshangulGumuze, Southern Nations, and National Region (SNNPR), Somali and Harari) and two chartered cities (Addis Ababa and Dire Dawa). Healthcare delivery in Ethiopia is organised in a three-tier system.8 The first, at the district level, is the primary healthcare unit (PHCU). The PHCU comprises one primary hospital, which can serve a population of about 60 000–100 000; four health centres (each serving a population of 15 000–25 000) and five health posts are attached to each health centre (each health post serving 3000–5000 people). The second level comprises general hospitals, each serving a population of 1–1.5 million, while the third level comprises specialised hospitals for a population of 3.5–5 million. While the Federal Ministry of Health is responsible for the formulation and harmonisation of health programmes and strategies, the RHBs are mostly responsible for actual implementations. The budget flows to RHBs in two ways. From one side, the RHBs receive about 5%–10% of the total annual regional budget. This part of the budget is mainly spent on salaries for health professionals, procurement of medical supplies and procurement of drugs. The regions also use this part of the budget for construction and expansion of health centres and primary hospitals. The RHBs have a full mandate on this part of the budget. On the other side, RHBs receive an additional earmarked budget for specific programmes from external sources via the Federal Ministry of Health. In addition, the Ministry of Health also distributes un-earmarked funds from the SDG pool fund. In this study, we applied the approaches described by Hogan et al and the WHO/WB report on tracking progress towards UHC, with some modifications.3 11 We used local data sources and checked that the indicators were also relevant for Ethiopia and that the data were available for all nine regions and the two city administrations. The selected indicators were well aligned with Ethiopia’s priorities, set by the health sector transformation plan.8 Sixteen indicators are from four major categories: RMNCH, infectious diseases, NCDs and service capacity and access. Tracer indicators in the area of RMNCH were as follows: family planning (FP) demand satisfied with a modern method among married women or in a union; pregnancy care (PC); immunisation for infants with three doses of pentavalent vaccine and care-seeking for children with suspected pneumonia. For infectious diseases, tracer indicators were tuberculosis treatment coverage (TB cases detected and cured); HIV treatment coverage; use of insecticide-treated bed nets among populations at risk of malaria and household access to at least basic sanitation services. For NCDs, we used the following: prevalence of non-raised blood pressure (BP), mean fasting plasma glucose, cervical cancer screening and prevalence of tobacco non-smoking. To assess service capacity and access, we used hospital bed density, health worker density, access to essential medicines and the International Health Regulations core capacity index. We used a variety of data sources from Ethiopia (table 1), namely Ethiopia’s Health Management Information System (HMIS),17 Ethiopia’s 2016 DHS (EDHS),18 the 2015 Malaria Indicator Survey (MIS),19 the NCD STEPwise approach to noncommunicable disease risk factor surveillance (STEPS) survey,20 the 2016 Service Readiness and Availability (SARA) survey21 and a Human Resource Information System (HRIS). Also, health security (HS) information was collected from administrative records at the Federal Ministry of Health and regional health offices. Since this indicator is only available at national level only, it is excluded from subnational analysis. Sources of data and indicator description for the UHC service coverage tracer indicators CVD, cardiovascular disease; DM, diabetes mellitus; EDHS, Ethiopia’s Demographic and Health Survey; HMIS, Health Management Information System; HRIS, Human Resource Information System; MIS, Malaria Indicator Survey; NCDs, non-communicable diseases; RMNCH, reproductive, maternal, neonatal and child health; SARA, Service Readiness and Availability; TB, tuberculosis; UHC, universal health coverage. The Ethiopian 2016 DHS data were used to estimate UHC service coverage for RMNCH indicators. For measurement of the malaria prevention indicator, the 2015 Ethiopian MIS survey was used. The 2016 SARA survey was used to estimate the coverage of essential medicine. The SARA survey generates a set of core indicators on key inputs and outputs of the health scheme, which can be applied to assess progress in the health system, strengthening over time.22 To estimate service coverage for the prevention of cardiovascular disease (CVD), management of diabetes mellitus (DM), cervical cancer screening and tobacco control, the NCD STEPS survey was applied. The Ethiopia STEPS are a nationally representative survey to gather comprehensive data on risk factors for NCDs, injuries and violence in Ethiopia. To estimate HIV treatment coverage, HMIS data, which is routinely collected from service provision at each facility, was used. The data source for health workforce (HWF) density are the HRIS of the Ministry of Health. The UHC coverage index was constructed from geometric means of the four major component indicators.3 For the RMNCH category, the geometric mean of FP, PC, immunisation and child healthcare (CHC) were taken; for FP, contraceptive prevalence rate; for PC, a combination of prevalence of births attended by a skill birth attendant and prevalence of antenatal care coverage (ANC4+); for immunisation, DPT3 coverage and for CHC, treatment for childhood pneumonia in the last 2 weeks were used as follows: RMNCH =(FP*PC*DPT3*CHC)1/4 For measurement of UHC service coverage in the infectious disease category, tuberculosis treatment (TB) was measured using the TB case detection rate and cure rate; antiretroviral treatment (ART) coverage was measured using people living with HIV who are currently on ART; water and sanitation (WASH) was measured using the average coverage of households with access to improved water and sanitation and Long-lasting insecticidal nets (LLIN) coverage was used. Infectious = (TB∗ART∗WASH∗ITNright)1/4 LLIN coverage was not accounted for in Addis Ababa since the area is malaria-free. NCD service coverage was calculated by a geometric mean of non-raised BP, fasting blood plasma glucose level (FPG), cervical cancer screening coverage and prevalence of non-tobacco users. We used the 2015 STEPS survey to compute the four tracer indicators in this category. The non-raised BP rate was measured by a prevalence of systolic BP<140 mm Hg or diastolic BP<90 mm Hg among adults aged 18 years and older. The FPG rate was measured by a prevalence of fasting plasma glucose of ≥7.0 mmol/L or those on medication for raised blood glucose among adults aged 18 years or older. The cervical cancer screening rate was measured by a proportion of women aged 30–49 years who reported ever having had a screening test for cervical cancer using any of the methods (visual inspection with aceticaccede, pap smear and human papillomavirus test). For measurement of no tobacco use, the proportion of adults 15 years and older who have not smoked tobacco in the last 30 days of survey time was applied: NCD=(BP∗FPG∗CancerScreening∗Tobaccoright)1/4 We used the prevalence of non-raised BP to estimate the service coverage for ‘prevention of CVD’ and the prevalence of non-raised blood glucose to estimate the service coverage for ‘management of DM’. Since these two indicators are not measured in a proportion, we used the rescaling formulas recommended by WHO/WB:3 For measurement of health service capacity and access (HSCA) coverage, hospital access (HP), HWF density, HS and data on the availability of essential medicine were used. For hospital access, we used annual in-patient admission or discharge per capita. For HWF density, we used the availability of health professionals: physicians, psychiatrists and surgeons per capita. For HS, we used the International Health Regulation core capacity index. Since this indicator is only available at the national level, it was excluded from the subnational analysis. For the measurement of essential medicines, we calculated the availability of the 14 WHO-recommended core list of essential medicines (ie, glibenclamide, beta-blocker, ACE inhibitor, simvastatin, amitriptyline, ciprofloxacin, co-trimoxazole, amoxicillin, ceftriaxone injection, diazepam tablet, diclofenac/ibuprofen, paracetamol and omeprazole) at health facilities: HSCA=(Hospitalaccess∗HWF∗Essentialmedicines∗HSright)1/4 Therefore, the overall UHC service coverage was computed within each of the four categories and then across those category-specific means to obtain the final summary index.3 UEHSC=(RMNCH∗Infectious∗NCD∗HealthServiceCapacityright)1/4 We computed the regional-level UHC service coverage status in the same way as the national index and compared their distributions to the national coverage and among regions. In this analysis, the geometric mean was applied instead of the arithmetic mean because the geometric mean is less sensitive to extreme values.19 We tested the sensitivity of the index to see how the indicators were combined into a summary measure by recomputing the index, using the arithmetic means in addition to the geometric means that was performed in the base case. We also assessed the sensitivity of the index by dropping one indicator at a time: first, deleting the HS variable and then deleting the entire ‘health service and capacity’ component. The study was approved by the Institutional Review Board (IRB) of the Ethiopian Public Health Institute (Ref: EPHI/6.13/607). No patient level data were used in this study.

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Based on the provided information, here are some potential innovations that could be used to improve access to maternal health in Ethiopia:

1. Telemedicine: Implementing telemedicine services can help overcome geographical barriers and improve access to maternal health services, especially in remote areas. This would allow pregnant women to consult with healthcare professionals through video calls or phone calls, reducing the need for travel.

2. Mobile Health (mHealth) Applications: Developing mobile applications that provide information and resources related to maternal health can empower women with knowledge and enable them to make informed decisions about their health. These apps can also provide reminders for prenatal care appointments and medication schedules.

3. Community Health Workers: Expanding the role of community health workers can improve access to maternal health services. These trained individuals can provide basic prenatal care, education, and support to pregnant women in their communities, bridging the gap between healthcare facilities and remote areas.

4. Maternal Health Vouchers: Implementing a voucher system for maternal health services can help reduce financial barriers and increase access to quality care. Vouchers can be provided to pregnant women, allowing them to access essential maternal health services at accredited healthcare facilities.

5. Mobile Clinics: Setting up mobile clinics that travel to remote areas can bring essential maternal health services closer to communities that lack access to healthcare facilities. These clinics can provide prenatal care, screenings, vaccinations, and other necessary services.

6. Health Information Systems: Implementing robust health information systems can improve data collection and analysis, leading to better monitoring and evaluation of maternal health services. This can help identify gaps in access and quality of care, enabling policymakers to make informed decisions for improvement.

7. Public-Private Partnerships: Collaborating with private healthcare providers can help expand the availability of maternal health services. Public-private partnerships can leverage the resources and expertise of both sectors to improve access, quality, and affordability of care.

8. Maternal Health Education Programs: Implementing comprehensive maternal health education programs can empower women with knowledge about prenatal care, nutrition, childbirth, and postnatal care. These programs can be delivered through community workshops, radio broadcasts, and other channels to reach a wider audience.

9. Transportation Support: Addressing transportation challenges can significantly improve access to maternal health services. Providing transportation support, such as ambulances or subsidized transportation vouchers, can ensure that pregnant women can reach healthcare facilities in a timely manner.

10. Strengthening Health Infrastructure: Investing in the development and improvement of healthcare infrastructure, particularly in rural areas, can enhance access to maternal health services. This includes building and equipping healthcare facilities, ensuring a sufficient number of skilled healthcare professionals, and improving supply chains for essential medicines and equipment.

It is important to note that the implementation of these innovations should be context-specific and consider the unique challenges and needs of the Ethiopian healthcare system and population.
AI Innovations Description
Based on the information provided, here is a recommendation that can be developed into an innovation to improve access to maternal health in Ethiopia:

Recommendation: Implement a comprehensive primary healthcare strategy to improve maternal health access and coverage.

Description: The study highlights the low overall universal health coverage (UHC) service coverage for Ethiopia, particularly in the area of reproductive, maternal, neonatal, and child health (RMNCH). To address this issue, it is recommended to rapidly scale up promotive, preventive, and curative health services through increased investment in primary healthcare.

Innovation: Develop and implement a comprehensive primary healthcare strategy that focuses on improving maternal health access and coverage. This strategy should include the following components:

1. Strengthening Primary Healthcare Units (PHCUs): Enhance the capacity of PHCUs, which serve as the first point of contact for healthcare services in communities. This can be done by increasing the number of skilled healthcare providers, improving infrastructure and equipment, and ensuring the availability of essential medicines and supplies.

2. Enhancing Maternal Health Services: Prioritize maternal health services within the primary healthcare system. This includes increasing access to antenatal care, skilled birth attendants, postnatal care, and family planning services. Implement strategies to improve the demand for and utilization of these services, such as community awareness campaigns and outreach programs.

3. Health Workforce Redistribution: Address the regional disparities in healthcare access by redistributing the health workforce. Allocate more healthcare professionals to regions with low UHC service coverage, such as the Afar region, to ensure equitable access to maternal health services.

4. Increased Investment in Healthcare: Advocate for increased resources allocated to health at both the regional and federal levels. This includes allocating a higher percentage of the annual regional budget to healthcare, which can be used for salaries, procurement of medical supplies, and infrastructure development.

5. Technical and Financial Support: Provide focused technical and financial support to low-performing regions. This can be done through capacity-building initiatives, training programs, and targeted funding to improve healthcare infrastructure and service delivery.

By implementing this comprehensive primary healthcare strategy, Ethiopia can improve access to maternal health services and work towards achieving universal health coverage goals.
AI Innovations Methodology
To improve access to maternal health in Ethiopia, here are some potential recommendations:

1. Strengthening Primary Healthcare: Increase investment in primary healthcare facilities, such as health centers and health posts, to provide essential maternal health services closer to communities. This includes improving infrastructure, staffing, and availability of essential medicines and equipment.

2. Enhancing Maternal Health Education: Implement comprehensive maternal health education programs to raise awareness about the importance of antenatal care, skilled birth attendance, postnatal care, and family planning. This can be done through community outreach programs, health campaigns, and partnerships with local organizations.

3. Improving Transportation and Referral Systems: Develop and improve transportation systems to ensure that pregnant women can access healthcare facilities in a timely manner. This can involve providing ambulances or other means of transportation in remote areas, as well as establishing effective referral systems between health centers and higher-level facilities.

4. Strengthening Health Workforce: Increase the number of skilled healthcare providers, particularly midwives and obstetricians, and ensure their equitable distribution across regions. This can be achieved through training programs, incentives for healthcare professionals to work in rural areas, and improving working conditions and support systems.

5. Addressing Socioeconomic Barriers: Implement strategies to address socioeconomic barriers that hinder access to maternal health services, such as poverty, gender inequality, and cultural practices. This can involve providing financial support for maternal health services, promoting women’s empowerment, and engaging community leaders and influencers to change harmful norms and practices.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define Indicators: Identify key indicators to measure access to maternal health, such as the percentage of pregnant women receiving antenatal care, the percentage of births attended by skilled birth attendants, and the availability of emergency obstetric care.

2. Collect Baseline Data: Gather data on the current status of these indicators in different regions of Ethiopia. This can be done through surveys, health facility records, and other relevant sources.

3. Develop a Simulation Model: Create a simulation model that incorporates the potential impact of the recommendations on the selected indicators. This model should consider factors such as population size, geographic distribution, healthcare infrastructure, and socioeconomic conditions.

4. Input Recommendation Scenarios: Input different scenarios into the simulation model, representing the implementation of the recommendations. For example, one scenario could involve scaling up primary healthcare facilities and increasing the number of skilled healthcare providers, while another scenario could focus on improving transportation systems and referral networks.

5. Simulate Impact: Run the simulation model with each scenario to estimate the potential impact on the selected indicators. This can be done by comparing the projected values of the indicators under each scenario to the baseline data.

6. Analyze Results: Analyze the simulation results to determine the effectiveness of each recommendation in improving access to maternal health. This can involve comparing the changes in the indicators across different scenarios and regions.

7. Refine and Iterate: Refine the simulation model based on the analysis results and feedback from stakeholders. Iterate the simulation process to test additional scenarios or refine the existing ones.

By using this methodology, policymakers and stakeholders can gain insights into the potential impact of different recommendations on improving access to maternal health in Ethiopia. This can inform decision-making and resource allocation to prioritize interventions that are most likely to have a positive impact.

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