Completed Public Health & Healthcare Pregnancy, Children & Inherited Conditions

Thanzi La Mawa: Integrated Analysis of Health System Capabilities and Effects on Population Health in Malawi and Eastern, Central and Southern Africa

In plain English

AI plain-English summary

Health ministers in Eastern, Central and Southern Africa are making life-or-death decisions about how to spend limited healthcare budgets without knowing which options actually save the most lives. This project builds a computer simulation that couples two models: one representing how healthcare resources—staff, drugs, clinics—produce treatments, and another representing how diseases spread through populations. The simulation lets policymakers test scenarios: what happens if they shift money from hospitals to community health workers, or if a new disease emerges. The researchers will work directly with government analysts in Malawi and across the region to embed the tool into routine budget planning. If successful, the approach could transform how scarce health funds are allocated, moving from guesswork to evidence-based decisions that maximise health gains for millions of people. The work is fundamentally applied—it aims to give officials a practical, transparent way to compare trade-offs and adapt as disease burdens change. No numbers appear in the abstract; the scale of potential impact is regional, affecting how entire health systems are designed and funded.

View original technical description
Those responsible for the healthcare sector in countries in Eastern, Central and Southern Africa must decide what to do with limited resources to generate the greatest possible benefit to the health of the people they serve. We propose to develop new methods and collect new data to characterize the means by which the healthcare system produces health benefits in the context of a complex and evolving pattern of demand for healthcare. Our proposed approach is to build a detailed and theoretically-principled simulation model that couples a ‘Healthcare Production Module’ with an agent-based ‘Epidemiological Module’, that together would represent the mechanisms by which resources create healthcare that lead to health gains. We will use these methods to examine: how can the currently available resources (budgets and non-financial resources) for health be used to generate the greatest health gains; how could greater gains be achieved with more financial resources; and how should the healthcare system adapt in response to evolving burdens of diseases. We will work closely with national and regional institutions to translate the insights into strategic planning and policy and facilitate the routine usage of these methods by governmental analysts throughout the region.

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Researchers

Andrew Phillips (EPMC Awardee)Timothy Colbourn (EPMC Awardee)Timothy Hallett (EPMC Awardee)Victor Mwapasa (EPMC Awardee)

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Original classification

Collaborative Award in Science

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