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ACG method for population health management?

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Validation of a Risk Stratification Tool

Many primary care groups aim for a population-oriented approach to their care services. Some regions are experimenting with testing grounds and pilots using a more population-oriented approach to care and associated experimental financing models, such as shared savings and bundled payments.

These are relatively small experiments on subpopulations (for example, one disease profile) where many obstacles are encountered, including data, infrastructure and embedding and upscaling. There is a clear need for good tools and work forms to provide population health management a way forward.

The Jan van Es Institute (JVEI) has conducted a literature review study on existing tools for population health management. The ACG (adjusted clinical groups) method, developed by Johns Hopkins University, emerged as the most accurate and suitable for the Dutch situation. However, in Dutch practice, the risk stratification tool must first be validated. If the outcomes are positive, a large proportion of primary care groups can be scaled up. However, this also requires additional measures, for example the creation of prerequisites for large-scale use of the tool such as financing, regulations, data model, outcome indicators and data infrastructure.

Five primary care groups are participating in the pilot study and shall validate the ACG tool by testing out the implementation of population-based care and associated interventions in their practice.


Jan van Es Institute