Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project
Background: Population health measurements are recognised as appropriate tools to support public health monitoring. Yet, there is still a lack of tools that offer a basis for policy appraisal and for foreseeing impacts on health equity. In the context of persistent regional inequalities, it is criti...
| Autores: | , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/46610 |
| Acceso en línea: | http://hdl.handle.net/10230/46610 http://dx.doi.org/10.1186/s12961-020-0526-y |
| Access Level: | acceso abierto |
| Palabra clave: | European Union regions Foresight Geographic inequalities Health equity Participatory approach Policy evaluation Population Health Index Scenarios WebGIS |
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Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project |
| title |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project |
| spellingShingle |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project Santana, Paula European Union regions Foresight Geographic inequalities Health equity Participatory approach Policy evaluation Population Health Index Scenarios WebGIS |
| title_short |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project |
| title_full |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project |
| title_fullStr |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project |
| title_full_unstemmed |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project |
| title_sort |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY project |
| dc.creator.none.fl_str_mv |
Santana, Paula Freitas, Ângela Stefanik, Iwa Costa, Claudia Oliveira, Mónica Rodrigues, Teresa C. Vieira, Ana Lopes Ferreira, Pedro Borrell i Thió, Carme Dimitroulopoulou, Sani Rican, Stéphane Mitsakou, Christina Marí Dell'Olmo, Marc, 1978- Schweikart, Jürgen Corman, Diana Bana E Costa, Carlos A. EURO-HEALTHY investigators |
| author |
Santana, Paula |
| author_facet |
Santana, Paula Freitas, Ângela Stefanik, Iwa Costa, Claudia Oliveira, Mónica Rodrigues, Teresa C. Vieira, Ana Lopes Ferreira, Pedro Borrell i Thió, Carme Dimitroulopoulou, Sani Rican, Stéphane Mitsakou, Christina Marí Dell'Olmo, Marc, 1978- Schweikart, Jürgen Corman, Diana Bana E Costa, Carlos A. EURO-HEALTHY investigators |
| author_role |
author |
| author2 |
Freitas, Ângela Stefanik, Iwa Costa, Claudia Oliveira, Mónica Rodrigues, Teresa C. Vieira, Ana Lopes Ferreira, Pedro Borrell i Thió, Carme Dimitroulopoulou, Sani Rican, Stéphane Mitsakou, Christina Marí Dell'Olmo, Marc, 1978- Schweikart, Jürgen Corman, Diana Bana E Costa, Carlos A. EURO-HEALTHY investigators |
| author2_role |
author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
European Union regions Foresight Geographic inequalities Health equity Participatory approach Policy evaluation Population Health Index Scenarios WebGIS |
| topic |
European Union regions Foresight Geographic inequalities Health equity Participatory approach Policy evaluation Population Health Index Scenarios WebGIS |
| description |
Background: Population health measurements are recognised as appropriate tools to support public health monitoring. Yet, there is still a lack of tools that offer a basis for policy appraisal and for foreseeing impacts on health equity. In the context of persistent regional inequalities, it is critical to ascertain which regions are performing best, which factors might shape future health outcomes and where there is room for improvement. Methods: Under the EURO-HEALTHY project, tools combining the technical elements of multi-criteria value models and the social elements of participatory processes were developed to measure health in multiple dimensions and to inform policies. The flagship tool is the Population Health Index (PHI), a multidimensional measure that evaluates health from the lens of equity in health determinants and health outcomes, further divided into sub-indices. Foresight tools for policy analysis were also developed, namely: (1) scenarios of future patterns of population health in Europe in 2030, combining group elicitation with the Extreme-World method and (2) a multi-criteria evaluation framework informing policy appraisal (case study of Lisbon). Finally, a WebGIS was built to map and communicate the results to wider audiences. Results: The Population Health Index was applied to all European Union (EU) regions, indicating which regions are lagging behind and where investments are most needed to close the health gap. Three scenarios for 2030 were produced - (1) the 'Failing Europe' scenario (worst case/increasing inequalities), (2) the 'Sustainable Prosperity' scenario (best case/decreasing inequalities) and (3) the 'Being Stuck' scenario (the EU and Member States maintain the status quo). Finally, the policy appraisal exercise conducted in Lisbon illustrates which policies have higher potential to improve health and how their feasibility can change according to different scenarios. Conclusions: The article makes a theoretical and practical contribution to the field of population health. Theoretically, it contributes to the conceptualisation of health in a broader sense by advancing a model able to integrate multiple aspects of health, including health outcomes and multisectoral determinants. Empirically, the model and tools are closely tied to what is measurable when using the EU context but offering opportunities to be upscaled to other settings. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2021 2021 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10230/46610 http://dx.doi.org/10.1186/s12961-020-0526-y |
| url |
http://hdl.handle.net/10230/46610 http://dx.doi.org/10.1186/s12961-020-0526-y |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Health Res Policy Syst. 2020; 18(1):18 info:eu-repo/grantAgreement/EC/H2020/643398 |
| dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
BioMed Central |
| publisher.none.fl_str_mv |
BioMed Central |
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reponame:Repositorio Digital de la UPF instname:Universitat Pompeu Fabra |
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Universitat Pompeu Fabra |
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Repositorio Digital de la UPF |
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Repositorio Digital de la UPF |
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| _version_ |
1869421180790767617 |
| spelling |
Advancing tools to promote health equity across European Union regions: the EURO-HEALTHY projectSantana, PaulaFreitas, ÂngelaStefanik, IwaCosta, ClaudiaOliveira, MónicaRodrigues, Teresa C.Vieira, AnaLopes Ferreira, PedroBorrell i Thió, CarmeDimitroulopoulou, SaniRican, StéphaneMitsakou, ChristinaMarí Dell'Olmo, Marc, 1978-Schweikart, JürgenCorman, DianaBana E Costa, Carlos A.EURO-HEALTHY investigatorsEuropean Union regionsForesightGeographic inequalitiesHealth equityParticipatory approachPolicy evaluationPopulation Health IndexScenariosWebGISBackground: Population health measurements are recognised as appropriate tools to support public health monitoring. Yet, there is still a lack of tools that offer a basis for policy appraisal and for foreseeing impacts on health equity. In the context of persistent regional inequalities, it is critical to ascertain which regions are performing best, which factors might shape future health outcomes and where there is room for improvement. Methods: Under the EURO-HEALTHY project, tools combining the technical elements of multi-criteria value models and the social elements of participatory processes were developed to measure health in multiple dimensions and to inform policies. The flagship tool is the Population Health Index (PHI), a multidimensional measure that evaluates health from the lens of equity in health determinants and health outcomes, further divided into sub-indices. Foresight tools for policy analysis were also developed, namely: (1) scenarios of future patterns of population health in Europe in 2030, combining group elicitation with the Extreme-World method and (2) a multi-criteria evaluation framework informing policy appraisal (case study of Lisbon). Finally, a WebGIS was built to map and communicate the results to wider audiences. Results: The Population Health Index was applied to all European Union (EU) regions, indicating which regions are lagging behind and where investments are most needed to close the health gap. Three scenarios for 2030 were produced - (1) the 'Failing Europe' scenario (worst case/increasing inequalities), (2) the 'Sustainable Prosperity' scenario (best case/decreasing inequalities) and (3) the 'Being Stuck' scenario (the EU and Member States maintain the status quo). Finally, the policy appraisal exercise conducted in Lisbon illustrates which policies have higher potential to improve health and how their feasibility can change according to different scenarios. Conclusions: The article makes a theoretical and practical contribution to the field of population health. Theoretically, it contributes to the conceptualisation of health in a broader sense by advancing a model able to integrate multiple aspects of health, including health outcomes and multisectoral determinants. Empirically, the model and tools are closely tied to what is measurable when using the EU context but offering opportunities to be upscaled to other settings.The EURO-HEALTHY project (Shaping EUROpean policies to promote HEALTH equity) has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 643398. Additionally, this study was supported by the Centre of Studies in Geography and Spatial Planning (CEGOT), funded by national funds through the Foundation for Science and Technology (FCT) under the reference UID/GEO/04084/2019. The authors Angela Freitas and Cláudia Costa are recipients of Individual Doctoral Fellowships funded by national funds through the Foundation for Science and Technology (FCT), under the references SFRH/BD/123091/2016 and SFRH/BD/132218/2017, respectively.BioMed Central202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/46610http://dx.doi.org/10.1186/s12961-020-0526-yreponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésHealth Res Policy Syst. 2020; 18(1):18info:eu-repo/grantAgreement/EC/H2020/643398© The Author(s). 2020 Open Access This 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.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/466102026-06-12T07:21:37Z |
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15,811543 |