en Year joined GFF
2017
Investment Case timeframe
2017-2021
World Bank co-financed project effective
2018
World Bank co-financed project effective
2019

The GFF’s Catalytic Role

The GFF Catalytic Role provides details on the GFF support for Madagascar’s Reproductive, Maternal, Neonatal, Child, and Adolescent Health and Nutrition (RMNCAH-N) agenda. Details on past and ongoing work are provided along with plans for future support. The GFF Catalytic Role focuses on support provided in the areas of the Investment Case (IC), Health Financing and systems reforms, the country platform, partner alignment, and data use for decision-making.

  • Developing a costed and prioritized investment case: The GFF helped the government develop a US$502 million investment case (IC) for Madagascar aligned with the national Health Sector Development Plan. The IC aims to save the lives of approximately 10,000 newborns, 3,000 mothers, and 40,000 children under five years.
  • Prioritizing and implementing health financing and systems reforms: The government plans to develop a new health financing strategy on universal health care. Other key objectives include increasing financial autonomy for health at the local level.
  • Strengthening the country platform and convening financial and technical partners at country level: Three government focal points within the Ministry of Public Health have helped aligned partners around the development of the IC, backed by technical expertise from the core group and the technical working group. Collaboration between the GFF and partners on National Health Accounts and resource mapping and expenditure tracking has the potential to increase the transparency of donor and government financing.
  • Improving data for decision making: A rollout of a web-based health data system (DHIS2) is strengthening health management across the country at the primary health care level. Based on DHIS2 data, the GFF has been able to produce information on the disruption of essential health services during the COVID-19 pandemic.
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Core RMNCAH-N Impact Indicators

The 8 GFF core impact indicators reflect updates aligned with the in-country survey schedule which optimally occurs once every three to five years to determine population-based changes in important health and nutrition outcomes. These indicators are core to the GFF Logic Model, to reflect impact of aligned interventions over time.  Collected by governments and development partners, these indicators are also used to monitor the Every Woman Every Child Initiative and the 2030 Sustainable Development Goals (SDGs) for RMNCAH-N. The country survey data includes Demographic Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), which are funded by domestic resources as well as by the World Health Organization (WHO), UNICEF, USAID and other multi- and bilateral organizations. The Covid-19 pandemic forced several countries to cancel or re-schedule plans for survey data collection these past two years.

CORE RMNCAH-N IMPACT INDICATORS
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The GFF highlights progress between the two most recent point estimates from population-based surveys approved by countries.  The timing of the data points is dependent on when survey data are available, which introduces lags.  In addition, it has been demonstrated that stillbirths tend to be under-reported in population based surveys1.  For many of the indicators highlighted in this table, annual estimates are produced through global processes.  The globally produced estimates can be found through the following sites:

Core Health Financing Indicators

The six GFF core health financing indicators track changes to country budget and expenditures with a focus on health spending, to monitor the expected impact of increasing the total volume and value of funding allocated to health and nutrition. The GFF partnership supports financing reforms by engaging with ministries of finance and ministries of health to strengthen mobilization of domestic resources as well as allocative and technical efficiency. These indicators are tracked through country-specific data sources such as BOOST, NHA, and budget reports. Expenditure data are tracked through the Global Health Expenditure Database (GHED), for which data are available through the end of 2018. Through measurement of budgets and expenditures, the GFF partnership aims to accelerate the expansion of interventions that are high-impact, cost-effective, affordable, and feasible to accelerate progress on universal health coverage and in achieving SDG targets.

CORE HEALTH FINANCING INDICATORS
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Note: For Madagascar, the share of health expenditure to frontline providers refers to the percentage of government health budget that is controlled by communes.

Survey and Estimated RMNCAH-N Coverage

The RMNCAH-N coverage data includes a standard set of 9 RMNCAH-N coverage indicators from available population-based surveys from 2010 to the most recent available survey. These indicators show progress towards key goals across maternal, child, and adolescent health and nutrition outcomes. Additional key nutrition-specific and/or education-specific coverage indicators are presented for countries where the GFF co-finances a nutrition-focused World Bank project or where education is a strong focus of the IC. 

The RMNCAH-N coverage data are sourced from the most recent available population-based surveys. Data on immunization are presented from the WHO/UNICEF joint reporting process and recent population-based surveys.  

 

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Population-Based Survey Coverage Indicators
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Resource Mapping

Resource mapping is a key component of the GFF approach. The resource mapping exercise helps countries assess funding gaps, align donor and government resources, and improve the efficiency and equity of health spending. Resource mapping data for each country varies based on whether countries have completed one or more resource mapping exercises.

A resource mapping and expenditure tracking (RMET) exercise accompanied the development of the RMNCHA-N investment case (IC) and was completed in 2020. Covering 2020 through 2023, the exercise identified resources available from donors as well as from the government budget. The RMET exercise has shown that, FY 2021, about US$116 million was available to cover the cost of interventions included in the IC, of which about 93% were provided by development partners. Among the partners, the largest financial contributions were provided by the World Bank, through IDA financing, and by USAID. The exercise also showed some important financing gaps for 2021, especially for routine child immunization.

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Resource Mapping
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Monitoring The Country-led Process

The GFF Logic Model highlights key elements of a GFF co-financed country-led process that contribute to the expected impact of improved RMNCAH-N outcomes over time. The GFF has developed a core set of indicators to monitor implementation of the GFF approach, considered as inputs and activities in the model, that emphasize prioritization and alignment to capitalize on efficiencies to improve transparency and accountability as well as health outcomes. Process monitoring includes tracking investment case development, country stakeholder engagement, health financing and the inclusion of gender and equity approaches.

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Monitoring The Country-led Process
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Implementation Progress

The data in this section is provided for a selection of indicators from the Investment Case Results Framework, Health Financing priorities, and the World Bank Project as applicable. Please select indicators from the dropdown menu to view the data for each indicator. Where subnational data is available, the map will display subnational trends over time or the latest data available. Hovering over the map will display additional data for the select indicator. Clicking on a region will add it to the chart on the right. All data, including source information, may be downloaded by selecting the arrow to the right of the indicator dropdown menu.

Implementation Progress
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* National data only.
Source:
Note: 2022 update forthcoming, current page reflects data through 2021. Levels of quality and completeness of data from national HMIS systems vary substantially across and within countries. The GFF is working closely with partner countries and other technical partners to improve the quality and completeness of national HMIS systems and other key country-led data systems.