Reducing Relapse in Children After Recovery From Severe Acute Malnutrition in Mali: Participatory Development of a Theory of Change for Post-Treatment Monitoring Including SQ-LNS Supplementation

Why It Matters

Cutting relapse saves lives, improves child growth, and eases pressure on Mali’s overstretched health system. An evidence‑based, scalable model can guide nutrition policy in other low‑resource settings.

Key Takeaways

• Relapse rates reach 76% within six months after malnutrition discharge
• Three root causes: treatment gaps, inadequate diet, and untreated illness
• Proposed program adds monitoring visits and SQ‑LNS supplementation
• Stakeholder‑validated theory of change guides future impact evaluation

Pulse Analysis

Relapse after treatment for severe acute malnutrition (SAM) remains a critical public‑health challenge, with up to 76% of children in Mali returning to a malnourished state within six months. This cycle not only jeopardizes child survival and development but also strains already limited health‑system resources. Understanding why children fall back into malnutrition is essential for designing interventions that break the pattern rather than merely treating episodes in isolation.

To address this, a four‑step participatory process was used to craft a theory of change (ToC). Researchers first reviewed local evidence, then mapped immediate and underlying relapse drivers in a problem‑tree format. Validation workshops with the Ministry of Health, university experts, and International Rescue Committee staff refined the model, highlighting three direct causes: inadequate initial treatment, insufficient dietary intake after discharge, and frequent illness coupled with low health‑seeking behavior. The resulting intervention package centers on post‑treatment monitoring—regular health checks at treatment sites—and the distribution of small‑quantity lipid‑based nutrient supplements (SQ‑LNS) to fill dietary gaps.

If successful, the ToC‑guided program could dramatically lower relapse rates, improving growth outcomes and reducing the financial burden on Mali’s health infrastructure. The approach also offers a replicable framework for other low‑resource contexts, emphasizing stakeholder engagement, evidence‑based design, and rigorous evaluation. Ongoing process and impact assessments will determine effectiveness, informing policy decisions and potentially reshaping SAM recovery strategies across sub‑Saharan Africa.