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 intervention...
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Autor*in:	Mora, Joana [verfasserIn] 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

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Risk Stratification Implementation Process Frail Elderly Patient Risk Stratification Tool Risk Stratification Strategy

Anmerkung:	© The Author(s). 2017

Übergeordnetes Werk:	Enthalten in: BMC health services research - London : BioMed Central, 2001, 17(2017), 1 vom: 05. Mai
Übergeordnetes Werk:	volume:17 ; year:2017 ; number:1 ; day:05 ; month:05

Links:	Volltext

DOI / URN:	10.1186/s12913-017-2275-3

Katalog-ID:	SPR028289099

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520			\|a 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.
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allfields	10.1186/s12913-017-2275-3 doi (DE-627)SPR028289099 (SPR)s12913-017-2275-3-e DE-627 ger DE-627 rakwb eng Mora, Joana verfasserin aut Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 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. Risk Stratification (dpeaa)DE-He213 Implementation Process (dpeaa)DE-He213 Frail Elderly Patient (dpeaa)DE-He213 Risk Stratification Tool (dpeaa)DE-He213 Risk Stratification Strategy (dpeaa)DE-He213 Iturralde, Miren David aut Prieto, Lucía aut Domingo, Cristina aut Gagnon, Marie-Pierre aut Martínez-Carazo, Catalina aut March, Anna Giné aut De Massari, Daniele aut Martí, Tino aut Nalin, Marco aut Avolio, Francesca aut Bousquet, Jean aut Keenoy, Esteban de Manuel aut Enthalten in BMC health services research London : BioMed Central, 2001 17(2017), 1 vom: 05. Mai (DE-627)331018756 (DE-600)2050434-2 1472-6963 nnns volume:17 year:2017 number:1 day:05 month:05 https://dx.doi.org/10.1186/s12913-017-2275-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 1 05 05
spelling	10.1186/s12913-017-2275-3 doi (DE-627)SPR028289099 (SPR)s12913-017-2275-3-e DE-627 ger DE-627 rakwb eng Mora, Joana verfasserin aut Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 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. Risk Stratification (dpeaa)DE-He213 Implementation Process (dpeaa)DE-He213 Frail Elderly Patient (dpeaa)DE-He213 Risk Stratification Tool (dpeaa)DE-He213 Risk Stratification Strategy (dpeaa)DE-He213 Iturralde, Miren David aut Prieto, Lucía aut Domingo, Cristina aut Gagnon, Marie-Pierre aut Martínez-Carazo, Catalina aut March, Anna Giné aut De Massari, Daniele aut Martí, Tino aut Nalin, Marco aut Avolio, Francesca aut Bousquet, Jean aut Keenoy, Esteban de Manuel aut Enthalten in BMC health services research London : BioMed Central, 2001 17(2017), 1 vom: 05. Mai (DE-627)331018756 (DE-600)2050434-2 1472-6963 nnns volume:17 year:2017 number:1 day:05 month:05 https://dx.doi.org/10.1186/s12913-017-2275-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 1 05 05
allfields_unstemmed	10.1186/s12913-017-2275-3 doi (DE-627)SPR028289099 (SPR)s12913-017-2275-3-e DE-627 ger DE-627 rakwb eng Mora, Joana verfasserin aut Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 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. Risk Stratification (dpeaa)DE-He213 Implementation Process (dpeaa)DE-He213 Frail Elderly Patient (dpeaa)DE-He213 Risk Stratification Tool (dpeaa)DE-He213 Risk Stratification Strategy (dpeaa)DE-He213 Iturralde, Miren David aut Prieto, Lucía aut Domingo, Cristina aut Gagnon, Marie-Pierre aut Martínez-Carazo, Catalina aut March, Anna Giné aut De Massari, Daniele aut Martí, Tino aut Nalin, Marco aut Avolio, Francesca aut Bousquet, Jean aut Keenoy, Esteban de Manuel aut Enthalten in BMC health services research London : BioMed Central, 2001 17(2017), 1 vom: 05. Mai (DE-627)331018756 (DE-600)2050434-2 1472-6963 nnns volume:17 year:2017 number:1 day:05 month:05 https://dx.doi.org/10.1186/s12913-017-2275-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 1 05 05
allfieldsGer	10.1186/s12913-017-2275-3 doi (DE-627)SPR028289099 (SPR)s12913-017-2275-3-e DE-627 ger DE-627 rakwb eng Mora, Joana verfasserin aut Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 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. Risk Stratification (dpeaa)DE-He213 Implementation Process (dpeaa)DE-He213 Frail Elderly Patient (dpeaa)DE-He213 Risk Stratification Tool (dpeaa)DE-He213 Risk Stratification Strategy (dpeaa)DE-He213 Iturralde, Miren David aut Prieto, Lucía aut Domingo, Cristina aut Gagnon, Marie-Pierre aut Martínez-Carazo, Catalina aut March, Anna Giné aut De Massari, Daniele aut Martí, Tino aut Nalin, Marco aut Avolio, Francesca aut Bousquet, Jean aut Keenoy, Esteban de Manuel aut Enthalten in BMC health services research London : BioMed Central, 2001 17(2017), 1 vom: 05. Mai (DE-627)331018756 (DE-600)2050434-2 1472-6963 nnns volume:17 year:2017 number:1 day:05 month:05 https://dx.doi.org/10.1186/s12913-017-2275-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 1 05 05
allfieldsSound	10.1186/s12913-017-2275-3 doi (DE-627)SPR028289099 (SPR)s12913-017-2275-3-e DE-627 ger DE-627 rakwb eng Mora, Joana verfasserin aut Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 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. Risk Stratification (dpeaa)DE-He213 Implementation Process (dpeaa)DE-He213 Frail Elderly Patient (dpeaa)DE-He213 Risk Stratification Tool (dpeaa)DE-He213 Risk Stratification Strategy (dpeaa)DE-He213 Iturralde, Miren David aut Prieto, Lucía aut Domingo, Cristina aut Gagnon, Marie-Pierre aut Martínez-Carazo, Catalina aut March, Anna Giné aut De Massari, Daniele aut Martí, Tino aut Nalin, Marco aut Avolio, Francesca aut Bousquet, Jean aut Keenoy, Esteban de Manuel aut Enthalten in BMC health services research London : BioMed Central, 2001 17(2017), 1 vom: 05. Mai (DE-627)331018756 (DE-600)2050434-2 1472-6963 nnns volume:17 year:2017 number:1 day:05 month:05 https://dx.doi.org/10.1186/s12913-017-2275-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 1 05 05
language	English
source	Enthalten in BMC health services research 17(2017), 1 vom: 05. Mai volume:17 year:2017 number:1 day:05 month:05
sourceStr	Enthalten in BMC health services research 17(2017), 1 vom: 05. Mai volume:17 year:2017 number:1 day:05 month:05
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Risk Stratification Implementation Process Frail Elderly Patient Risk Stratification Tool Risk Stratification Strategy
isfreeaccess_bool	true
container_title	BMC health services research
authorswithroles_txt_mv	Mora, Joana @@aut@@ Iturralde, Miren David @@aut@@ Prieto, Lucía @@aut@@ Domingo, Cristina @@aut@@ Gagnon, Marie-Pierre @@aut@@ Martínez-Carazo, Catalina @@aut@@ March, Anna Giné @@aut@@ De Massari, Daniele @@aut@@ Martí, Tino @@aut@@ Nalin, Marco @@aut@@ Avolio, Francesca @@aut@@ Bousquet, Jean @@aut@@ Keenoy, Esteban de Manuel @@aut@@
publishDateDaySort_date	2017-05-05T00:00:00Z
hierarchy_top_id	331018756
id	SPR028289099
language_de	englisch
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author	Mora, Joana
spellingShingle	Mora, Joana misc Risk Stratification misc Implementation Process misc Frail Elderly Patient misc Risk Stratification Tool misc Risk Stratification Strategy Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study
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topic_title	Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study Risk Stratification (dpeaa)DE-He213 Implementation Process (dpeaa)DE-He213 Frail Elderly Patient (dpeaa)DE-He213 Risk Stratification Tool (dpeaa)DE-He213 Risk Stratification Strategy (dpeaa)DE-He213
topic	misc Risk Stratification misc Implementation Process misc Frail Elderly Patient misc Risk Stratification Tool misc Risk Stratification Strategy
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title	Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study
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title_full	Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study
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author_browse	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
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title_sort	key aspects related to implementation of risk stratification in health care systems-the assehs study
title_auth	Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study
abstract	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. © The Author(s). 2017
abstractGer	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. © The Author(s). 2017
abstract_unstemmed	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. © The Author(s). 2017
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title_short	Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study
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author2	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
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Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study

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