Health risk assessment and stratification in an integrated care scenario

• Published in: International journal of integrated care 2016-12, Vol.16 (6), p.322
• Main Authors: Moharra, Montserrat, Vela, Emili, Dueñas-Espín, Ivan, Pauws, Steffen, Bescos, Cristina, Cano, Isaac, Cleries, Montserrat, Contel, Joan Carlos, De Manuel Keenoy, Esteban, Garcia-Aymerich, Judith, Gómez-Cabrero, David, Kaye, Rachelle, Lahr, Maarten M.H., Lluch-Ariet, Magí, Monterde, David, Mora, Joana, Nalin, Marco, Pavlickova, Andrea, Piera, Jordi, Ponce, Sara, Santaeugenia, Sebastià, Schonenberg, Helen, Störk, Stefan, Tegnér, Jesper, Velickovski, Filip, Westerteicher, Christoph, Roca, Josep
• Format: Article
• Language: English
• Subjects: Health risk assessment; Health risks; Integrated delivery systems
• ISSN: 1568-4156; 1568-4156
• DOI: 10.5334/ijic.2870

Background: Health risk assessment and stratification have proven highly relevant for large-scale implementation of integrated care by facilitating services design and case identification.Aim: The principal objective was to analyse five health-risk assessment strategies used in the five regions participating in the Advancing Care Coordination and TeleHealth Deployment (ACT) program (www.act-programme.eu): Scotland (UK), Basque Country (ES), Catalonia (ES), Lombardy (I) and Groningen (NL). A second aim was to explore the potential of population-based health risk predictive tools to contribute to risk prediction in the clinical setting.Method: We characterized and compared risk assessment strategies among ACT regions by analysing operational risk predictive modelling tools for population-based stratification, as well as available health indicators. The risk assessment tool deployed in Catalonia (GMA, Adjusted Morbidity Groups) was used as an example to explore how population-based analysis can contribute to clinical risk prediction.Results: The study indicated a high degree of conceptual agreement among the five ACT regions on the relevant role of population-based health risk assessment for regional deployment of integrated care. The entire ACT consortium shared its usefulness for service commission, case finding and screening. There was also consensus on the use of a population health approach as the optimal strategy for population-based risk assessment.However, the health risk predictive modelling tools in place displayed marked heterogeneities that precluded comparability of the risk pyramid distributions across regions. We identified a clear need for evolving toward risk predictive modelling tools allowing proper quantification of the estimations. Likewise, different well-identified problems mostly associated to data reporting precluded appropriate comparisons of the recommended health indicators.The current study identified transferability across regions and potential for evolving, that is flexibility, as two key requirements for any population-based health risk assessment tool. Factors such as: i) license binding constraints, ii) insufficient public availability; iii) lack of availability for inspection; and/or, iv) rigidity of some computational algorithms (i.e. due to inclusion of expert-based criteria in some morbidity groupers) are currently limiting transferability. These factors might also preclude adaptation of the current risk prediction tools