Interactive learning tool

Health System Financing Functions Flow Explorer

Explore how revenue collection, pooling and purchasing work as a connected system. Adjust the illustrative settings to see why stronger performance in one financing function cannot fully compensate for serious weaknesses in another.

Set the financing profile

Use the sliders or arrow keys. The values are synthetic teaching inputs, not country data or policy targets.

Revenue adequacy and stability70%

Whether sufficient, predictable resources are raised for the covered population.

Reliance on prepayment75%

The illustrative emphasis on prepaid funding rather than payment when care is used.

Pooling integration60%

The extent to which fragmentation is limited or its consequences are mitigated.

Strategic purchasing65%

How strongly allocation and payment reflect needs, priorities, quality and performance.

Follow the flow

1. Raise revenue

70%

Resources enter the health system.

2. Pool funds

60%

Prepaid resources and financial risks are shared.

3. Purchase services

65%

Funds reach providers through allocation and payment.

Patient payment exposure: 25% in this illustrative profile. This is shown as the inverse of reliance on prepayment; it is not an estimate of a country's out-of-pocket expenditure share.

Equivalent results table

The table conveys the same results as the visual display and updates whenever an input changes.

Area	Illustrative result	What it helps explain

Method and assumptions

The explorer uses transparent weighted averages to demonstrate interaction between financing functions. Access gives greatest weight to revenue and purchasing; equity gives greatest weight to pooling; financial protection gives greatest weight to prepayment and pooling; and efficiency gives greatest weight to purchasing. These weights create a learning scenario only. They are not empirical coefficients, performance standards or forecasts.

Real assessment requires country-specific evidence about revenue sources, entitlements, pool structure, cross-subsidies, benefit design, provider payment, service use, quality, unmet need and financial hardship. The tool does not prescribe a financing model, rank countries or determine whether universal health coverage has been achieved. It collects no personal information and sends no data outside the browser.