Configuration Inputs FP Financing Recommendations Methods
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Roadmap Methodology

The interactive roadmap helps to identify relevant family planning financing options given a particular country's financing and family planning context. Users click through five data input screens to assess the family planning financing situation in a particular country based on 1) family planning achievement, 2) the macroeconomic environment, 3) the health financing environment, 4) health financing systems and reforms, and 5) the family planning financing environment. The last screen generates a customized report based on an underlying algorithm. The algorithm serves two main functions:

  1. Classifies countries into one of nine overarching archetypes based on health financing maturity and placement on the family planning S-curve, which is determined by modern contraceptive prevalence rate (mCPR)
  2. Narrows down more specific and relevant family planning financing options for a country

The roadmap includes default data for most indicators, with notes on the date and source of the data. Users are able to edit the data if they have different or more recent information. The final customized report takes into account user changes. Users are able to save their changes if they create an account at the beginning of use.

Archetype classification

Countries are classified into one of nine overarching archetypes based on health financing maturity (low, emergent/aspirational, and high) and placement along the S-curve (low, moderate, and high mCPR). Broad categorization and guidance is given based on the country's archetype.

Health financing maturity: HP+ used several measures to assess a country's health financing maturity level in order to better understand the country's capacity to finance health, including family planning services, through domestic sources. HP+ considered three dimensions for classifying countries health financing maturity levels: fiscal space for health, dependency on external financing, and coverage of pre-payment schemes. A country is assessed and assigned points for measures across these three dimensions. The basis for the point values are based on variation seen across countries. The combined point value then determines if a country's health financing system is at a low (4-7 points), emergent/aspirational (8-12 points), or mature (13-16 points) level. See the table below for more information.

 

Dimension

Measures

Fiscal space for health

  • Country income status
  • Projections of economic growth rate (2018-2020)
  • Projections of government spending as percentage of gross domestic product (GDP) (2018-2020)
  • Baseline percentage of GDP spent on health

Dependency on external financing

Baseline percentage of total health expenditure funded by external sources

Coverage of pre-payment schemes

Percentage of population covered by health insurance schemes (includes national, social, private, and community-based schemes)

 

S-curve: A country's stage along the S-curve helps predict how modern contraceptive prevalence use may increase in the future and provides guidance on what types of family planning investments may be needed (e.g., demand creation, commodities, etc.). The S-curve classification is based on the current mCPR. Countries with a low or high baseline mCPR may have slow growth in mCPR in the future. For the roadmap, HP+ classified countries into three groups based on global trends:

  • Low mCPR: < 15%
  • Moderate mCPR: 15%-40%
  • High mCPR: > 40%

Country-specific recommendations

The relevant family planning financing options presented for the country depend on specific data inputs entered in the roadmap tool. There are currently 26 recommendations programmed into the roadmap, which may be updated and expanded. Recommendations pertain to how to make family planning programs more efficient, how to raise additional revenue from domestic sources for family planning, and how to better integrate family planning into broader health financing systems (e.g., national health insurance schemes). Each recommendation links users to relevant case studies and learning materials to explore these options further.