Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/105207
Title: | Proposals for enhanced health risk assessment and stratification in an integrated care scenario |
Author: | Dueñas Espín, Ivan Vela, Emili Pauws, Steffen Bescos, Cristina Cano Franco, Isaac Cleries, Montserrat Contel, Joan Carles Manuel Keenoy, Esteban de García Aymerich, Judith Gomez Cabrero, David Kaye, Rachelle Lahr, Maarten M. H. Lluch Ariet, Magí Moharra, Montserrat Monterde Prat, David Mora, Joana Nalin, Marco Pavlickova, Andrea Piera, Jordi Ponce, Sara Santaeugènia, Sebastià Schonenberg, Helen Störk, Stefan Tegnér, Jesper Velickovski, Filip Westerteicher, Christoph Roca Torrent, Josep |
Keywords: | Avaluació del risc per la salut Presa de decisions Salut pública Health risk assessment Decision making Public health |
Issue Date: | 15-Apr-2016 |
Publisher: | BMJ Publishing Group |
Abstract: | Objectives: Population-based health risk assessment and stratification are considered highly relevant for large-scale implementation of integrated care by facilitating services design and case identification. The principal objective of the study was to analyse five health-risk assessment strategies and health indicators used in the five regions participating in the Advancing Care Coordination and Telehealth Deployment (ACT) programme (http://www.act-programme.eu). The second purpose was to elaborate on strategies toward enhanced health risk predictive modelling in the clinical scenario. Settings: The five ACT regions: Scotland (UK), Basque Country (ES), Catalonia (ES), Lombardy (I) and Groningen (NL). Participants: Responsible teams for regional data management in the five ACT regions. Primary and secondary outcome measures: We characterised and compared risk assessment strategies among ACT regions by analysing operational health risk predictive modelling tools for population-based stratification, as well as available health indicators at regional level. The analysis of the risk assessment tool deployed in Catalonia in 2015 (GMAs, Adjusted Morbidity Groups) was used as a basis to propose how population-based analytics could contribute to clinical risk prediction. Results: There was consensus on the need for a population health approach to generate health risk predictive modelling. However, this strategy was fully in place only in two ACT regions: Basque Country and Catalonia. We found marked differences among regions in health risk predictive modelling tools and health indicators, and identified key factors constraining their comparability. The research proposes means to overcome current limitations and the use of population-based health risk prediction for enhanced clinical risk assessment. Conclusions: The results indicate the need for further efforts to improve both comparability and flexibility of current population-based health risk predictive modelling approaches. Applicability and impact of the proposals for enhanced clinical risk assessment require prospective evaluation |
Note: | Reproducció del document publicat a: https://doi.org/10.1136/bmjopen-2015-010301 |
It is part of: | BMJ Open, 2016, vol. 6 , num. 4, p. e010301 |
URI: | http://hdl.handle.net/2445/105207 |
Related resource: | https://doi.org/10.1136/bmjopen-2015-010301 |
ISSN: | 2044-6055 |
Appears in Collections: | Articles publicats en revistes (Medicina) Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
662618.pdf | 1.46 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License