About Rypple

Rypple focusses on strengthening health systems in low- and middle-income countries by improving access to reliable health data and enabling data-driven decision-making at the local level. The organisation works with governments, health facilities, and frontline health workers to co-create digital tools and learning ecosystems that support continuous improvement in healthcare delivery. Rypple places strong emphasis on local ownership, capacity building, and the practical use of routine health data to improve quality of care and accountability.

Collaborations with GHH-partners

No active collaboration yet.

Overview of characteristics

Activities:

Countries/regions of activity:

  • Europe: Rypple is active in the Netherlands and Germany and works at EU level on policy advisory, prevention-focused health system reform, economic and return-on-investment modelling for preventive interventions, and cross-sectoral governance and incentive redesign, including applications in the COVID-19 vaccination context.
  • Africa (Sub-Saharan Africa): In Sub-Saharan Africa, Rypple is engaged in Kenya, Ethiopia, Nigeria, Ghana, and South Africa, focusing on prevention-oriented health system transformation, adapting economic and impact models to low-data contexts, and engaging in policy dialogue with governments and stakeholders on incentives, compensation, and cross-sectoral determinants of health.
  • Asia (South and Southeast Asia): Rypple is active in India and Indonesia, where it works with policymakers and national health promotion actors on prevention-first health strategies, long-term system sustainability, and the contextual adaptation of modelling tools to diverse political and economic environments.

Community of Practice (CoP):

All CoPs

Themes & subthemes:

CoP 1

  • Health systems transformation towards prevention and health creation.
    • Prevention-first health systems.
  • Governance and incentive redesign in health systems.
    • Health system governance & incentives: Making “doing good” economically and politically viable for decision-makers.
  • Data-informed decision-making for policy and system reform.
    • Cross-sectoral determinants of health.
    • Capacity building for policymakers: Translating complex data and models into actionable insights for ministries and public institutions
  • Financing and economic justification of preventive interventions.
    • Return on Investment of prevention.

CoP 2

  • Prevention and preparedness as economic and governance priorities.
    • Policy advisory capacity: Engagement with international pandemic financing and advisory structures.
  • Data-driven decision-making under uncertainty.

CoP 3

  • Health impacts of climate and environmental determinants.
  • Incentive structures inspired by climate and energy transitions.
    • Learning from the energy transition: Applying incentive mechanisms (e.g. carbon taxation, subsidies) to health and prevention.
  • Cross-sectoral policy coherence (health, environment, economy).
    • Economic incentives for healthy societies: Exploring taxation and subsidy models that discourage health-harming activities and reward prevention

Organization type:

NGO

Available resources:

  • Knowledge & expertise:
    • Expertise in using routine health data for continuous quality improvement.
    • Strong experience in participatory design of digital health tools and learning systems.
    • Practical knowledge of health system challenges at facility and district level in low- and mid-income countries.
  • Networks:
    • Close working relationships with local health workers, facility managers, and sub-national health authorities
    • Experience collaborating with governments and implementing partners in LMIC contexts in low- and mid-income countries.
  • Tools, data, and infrastructure assets:
    • Development and implementation of digital platforms that support learning, reflection, and performance improvement based on routine health data.
    • Tools designed for low-resource settings, emphasizing usability and local ownership.
  • Coordination capability:
    • Experience facilitating multi-stakeholder learning processes across facilities and administrative levels
    • Ability to align digital tools with existing health system structures and reporting processes