Risk prediction strategies and characteristics of data reporting for the study on top indicators in the five ACT regions
| Basque | Catalonia | Groningen | Lombardy | Scotland | Barriers for comparison | |
|---|---|---|---|---|---|---|
| Scope of the stratification strategy | Entire population (population health) | Population (population health) | Programme (population medicine) | Programme (population medicine) | 3.4 million people (toward population health) | Heterogeneous predictive modelling tools |
| Current predictive modelling tool | ACG-PM | CRG | Not available | CReG, evolving toward a risk predictive modelling tool | SPARRA v3 (owned by the region) | Different statistics describing predictive power, different levels of flexibility |
| Risk categories (%)* | ||||||
| High | 1.3 | 3.4 | – | 3.0 | 0.7 | Different criteria for risk categories leading to non-comparable population distributions |
| Medium | 5.5 | 10.8 | – | 40.9 | 2.0 | |
| Low | 22.8 | 34.7 | – | 56.1 | 6.7 | |
| Healthy | 70.4 | 51.1 | – | – | 90.6 | |
| Characteristics of reporting on top indicators | Regional and microsystems | Regional and four areas | Three programmes | GReG cohorts | Subregion | Heterogeneity of reporting allowed conceptual consensus but not comparability of results |
*Estimations of risk-strata distribution corresponds to 2012.
ACG-PM, Adjusted Clinical Groups-Predictive Model; ACT, Advancing Care Coordination and Telehealth Deployment; CReG, Chronic-Related Group; SPARRA V3, Scottish Patients at Risk of Readmission and Admission V.3.