Our Recommendation
Pivot is a high‑potential district health‑system partner with strong data systems, serious collaboration with government, and emerging quasi‑experimental evidence on coverage and mortality, but less mature counterfactual work than top RCT‑backed organizations. For funders focused on health‑system strengthening and rural equity in Madagascar, Pivot is a promising partner, especially if accompanied by support to deepen rigorous counterfactual evaluations of its proactive community health and district‑wide model.
Pivot's Fierce Certification score is 110/100 based on our criteria:
✔ Has Ultimate Outcome Goals (50 pts)
✔ Measures Intermediate Outcomes (10 pts)
✔ Measures Ultimate Outcomes (15 pts)
✔ Shows Continual Learning & Adaptation (25 pts)
☐ Measures Intermediate Counterfactual (10 pts)
✔ Measures Ultimate Counterfactual (10 pts)
The Social Problem
Pivot focuses on severe gaps in rural primary health care and health outcomes in Madagascar, particularly in Ifanadiana District. Before Pivot’s work, the district’s health system was characterized by low coverage of essential services, long and unequal travel times, weak community health, and high child and maternal mortality. Geography, poverty, and fragile systems combined to leave thousands without timely care and to entrench avoidable deaths and inequities.
The Solution
Pivot’s solution is to build a “model district” health system in close partnership with the Ministry of Public Health, combining strengthened facility‑based care, a proactive community health program, and a sophisticated data platform. It invests in staffing, infrastructure, supplies, and quality‑improvement at health centers and the district hospital, while supporting CHWs to provide proactive home‑based care, particularly in remote areas. These service‑delivery efforts are underpinned by geospatial mapping and integrated data systems that guide planning, identify gaps, and inform system redesign, with the explicit goal of generating a replicable model for the country.
Key Outputs
Key outputs include:
- Geographic scope and mapping: over 20,000 km of footpaths and 100,000 structures mapped, combined with high‑resolution environmental data to model travel times and accessibility.
- Health system coverage: ongoing support to the entire Ifanadiana District health system (health
- Proactive community health pilot: implementation of a proactive CHW model designed to overcome geographic barriers, with an evaluation under way.
- Data platform: a district‑wide data platform that integrates routine health data, cohort data, and GIS, now used by the district health team for planning and monitoring.
These outputs reflect a system‑level approach rather than a single vertical intervention.
Key Intermediate Outcomes
Measured intermediate outcomes include:
- Service coverage increases: Pivot reports increases in primary care utilization, ANC, deliveries with skilled attendants, and child health visits across the district, with analyses comparing trends to other districts and national averages.
- Geographic equity improvements: GIS‑based analyses show reduced disparities in service access between remote and central communities over time, using spatial comparisons as a proxy counterfactual.
- CHW reach and performance: proactive CHW pilots demonstrate higher visit rates and coverage in intervention areas compared to non‑pilot areas, though public summaries are still emerging.
These provide quasi‑experimental evidence, but not yet the level of rigor of full RCTs.
Key Ultimate Outcomes
For ultimate outcomes:
- Under‑5 mortality: research co‑authored with Madagascar’s MoH shows substantial declines in under‑5 mortality in Ifanadiana over several years that exceed national trend improvements, suggesting lives saved relative to a no‑Pivot counterfactual.
- Maternal outcomes and equity: maternal mortality and other health indicators have improved in the model district, and equity analyses indicate shrinking gaps between remote and central populations, again benchmarked against national or regional comparators.
These are strong for a district‑strengthening program, but still rely mainly on trend and spatial comparisons rather than randomized designs.
Continual Learning & Adaptation
Pivot’s model is built around embedded research and adaptive management:
- Its impact reports highlight ongoing pilots (like proactive community health) and the use of cohort and geospatial data to adjust program design and district planning.
- The organization collaborates with academic partners to publish on methods and results, including new approaches to combining GIS and health data for accessibility and equity analysis.
- Findings from these analyses are used to reconfigure catchment areas, target CHW deployment, and guide investments in infrastructure and services, showing a genuine feedback loop from evidence to system redesign.
This positions Pivot as a learning organization that is evolving a model district in real time, even as it still builds up its counterfactual evidence base.
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