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Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study
BACKGROUND: The lack of proven efficacy of new healthcare interventions represents a problem for health systems globally. It is partly related to suboptimal implementation processes, leading to poor adoption of new interventions. Activation of Stratification Strategies and Results of the interventio...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5420130/ https://www.ncbi.nlm.nih.gov/pubmed/28476126 http://dx.doi.org/10.1186/s12913-017-2275-3 |
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author | Mora, Joana Iturralde, Miren David Prieto, Lucía Domingo, Cristina Gagnon, Marie-Pierre Martínez-Carazo, Catalina March, Anna Giné De Massari, Daniele Martí, Tino Nalin, Marco Avolio, Francesca Bousquet, Jean Keenoy, Esteban de Manuel |
author_facet | Mora, Joana Iturralde, Miren David Prieto, Lucía Domingo, Cristina Gagnon, Marie-Pierre Martínez-Carazo, Catalina March, Anna Giné De Massari, Daniele Martí, Tino Nalin, Marco Avolio, Francesca Bousquet, Jean Keenoy, Esteban de Manuel |
author_sort | Mora, Joana |
collection | PubMed |
description | BACKGROUND: The lack of proven efficacy of new healthcare interventions represents a problem for health systems globally. It is partly related to suboptimal implementation processes, leading to poor adoption of new interventions. Activation of Stratification Strategies and Results of the interventions on frail patients of Healthcare Services (ASSEHS) EU project (N° 2013 12 04) aims to study current existing health Risk Stratification (RS) strategies and tools on frail elderly patients. This paper aims at identifying variables that make the implementation of population RS tools feasible in different healthcare services. METHODS: Two different methods have been used to identify the key elements in stratification implementation; i) a Scoping Review, in order to search and gather scientific evidence and ii) Semi-structured interviews with six key experts that had been actively involved in the design and/or implementation of RS strategies. It aims to focus the implementation construct on real-life contextual understandings, multi-level perspectives, and cultural influences. RESULTS: A Feasibility Framework has been drawn. Two dimensions impact the feasibility of RS: (i) Planning, deployment and change management and (ii) Care intervention. The former comprises communication, training and mutual learning, multidisciplinarity of the team, clinicians’ engagement, operational plan and ICT display and functionalities. The latter includes case finding and selection of the target population, pathway definition and quality improvement process. CONCLUSIONS: The Feasibility Framework provides a list of key elements that should be considered for an effective implementation of population risk stratification interventions. It helps to identify, plan and consider relevant elements to ensure a proper RS implementation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-2275-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5420130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54201302017-05-08 Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study Mora, Joana Iturralde, Miren David Prieto, Lucía Domingo, Cristina Gagnon, Marie-Pierre Martínez-Carazo, Catalina March, Anna Giné De Massari, Daniele Martí, Tino Nalin, Marco Avolio, Francesca Bousquet, Jean Keenoy, Esteban de Manuel BMC Health Serv Res Research Article BACKGROUND: The lack of proven efficacy of new healthcare interventions represents a problem for health systems globally. It is partly related to suboptimal implementation processes, leading to poor adoption of new interventions. Activation of Stratification Strategies and Results of the interventions on frail patients of Healthcare Services (ASSEHS) EU project (N° 2013 12 04) aims to study current existing health Risk Stratification (RS) strategies and tools on frail elderly patients. This paper aims at identifying variables that make the implementation of population RS tools feasible in different healthcare services. METHODS: Two different methods have been used to identify the key elements in stratification implementation; i) a Scoping Review, in order to search and gather scientific evidence and ii) Semi-structured interviews with six key experts that had been actively involved in the design and/or implementation of RS strategies. It aims to focus the implementation construct on real-life contextual understandings, multi-level perspectives, and cultural influences. RESULTS: A Feasibility Framework has been drawn. Two dimensions impact the feasibility of RS: (i) Planning, deployment and change management and (ii) Care intervention. The former comprises communication, training and mutual learning, multidisciplinarity of the team, clinicians’ engagement, operational plan and ICT display and functionalities. The latter includes case finding and selection of the target population, pathway definition and quality improvement process. CONCLUSIONS: The Feasibility Framework provides a list of key elements that should be considered for an effective implementation of population risk stratification interventions. It helps to identify, plan and consider relevant elements to ensure a proper RS implementation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-2275-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-05 /pmc/articles/PMC5420130/ /pubmed/28476126 http://dx.doi.org/10.1186/s12913-017-2275-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Mora, Joana Iturralde, Miren David Prieto, Lucía Domingo, Cristina Gagnon, Marie-Pierre Martínez-Carazo, Catalina March, Anna Giné De Massari, Daniele Martí, Tino Nalin, Marco Avolio, Francesca Bousquet, Jean Keenoy, Esteban de Manuel Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study |
title | Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study |
title_full | Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study |
title_fullStr | Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study |
title_full_unstemmed | Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study |
title_short | Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study |
title_sort | key aspects related to implementation of risk stratification in health care systems-the assehs study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5420130/ https://www.ncbi.nlm.nih.gov/pubmed/28476126 http://dx.doi.org/10.1186/s12913-017-2275-3 |
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