Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/89020
DC FieldValueLanguage
dc.contributor.authorAlvarenga, António-
dc.contributor.authorCosta, Carlos A Bana e-
dc.contributor.authorBorrell, Carme-
dc.contributor.authorFerreira, Pedro Lopes-
dc.contributor.authorFreitas, Ângela Mendes-
dc.contributor.authorFreitas, Liliana-
dc.contributor.authorOliveira, Mónica D-
dc.contributor.authorRodrigues, Teresa C-
dc.contributor.authorRodrigues, Ana Paula Santana-
dc.contributor.authorSantos, Maria Lopes-
dc.contributor.authorVieira, Ana C L-
dc.date.accessioned2020-03-20T10:49:07Z-
dc.date.available2020-03-20T10:49:07Z-
dc.date.issued2019-06-25-
dc.identifier.issn1475-9276pt
dc.identifier.urihttp://hdl.handle.net/10316/89020-
dc.description.abstractBackground: Health inequalities have been consistently reported across and within European countries and continue to pose major challenges to policy-making. The development of scenarios regarding what could affect population health (PH) inequalities across Europe in the future is considered critical. Scenarios can help policy-makers prepare and better cope with fast evolving challenges. Objective: This paper describes the three 2030 time-horizon scenarios developed under the EURO-HEALTHY project, depicting the key factors that may affect the evolution of PH inequalities across European regions. Methods: A three-stage socio-technical approach was applied: i) identification of drivers (key factors expected to affect the evolution of PH inequalities across European regions until 2030) – this stage engaged in a Web-Delphi process a multidisciplinary panel of 51 experts and other stakeholders representing the different perspectives regarding PH inequalities; ii) generation of scenario structures – different drivers’ configurations (i.e. their hypotheses for evolution) were organized into coherent scenario structures using the Extreme-World Method; and iii) validation of scenario structures and generation of scenario narratives. Stages ii) and iii) were conducted in two workshops with a strategic group of 13 experts with a wide view about PH inequalities. The scenario narratives were elaborated with the participants’ insights from both the Web-Delphi process and the two workshops, together with the use of evidence (both current and future-oriented) on the different areas within the PH domain. Results: Three scenarios were developed for the evolution of PH inequalities in Europe until 2030: ‘Failing Europe’ (worstcase but plausible picture of the future), ‘Sustainable Prosperity’ (best-case but plausible picture of the future), and an interim scenario ‘Being Stuck’ depicting a ‘to the best of our knowledge’ evolution. These scenarios show the extent to which a combination of Political, Economic, Social, Technological, Legal and Environmental drivers shape future health inequalities, providing information for European policy-makers to reflect upon whether and how to design robust policy solutions to tackle PH inequalities. Conclusions: The EURO-HEALTHY scenarios were designed to inform both policy design and appraisal. They broaden the scope, create awareness and generate insights regarding the evolution of PH inequalities across European regions.pt
dc.language.isoengpt
dc.publisherBMCpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectDelphi methodpt
dc.subjectForesightpt
dc.subjectHealth inequalitiespt
dc.subjectParticipatory approachpt
dc.subjectPoliciespt
dc.subjectPopulation Healthpt
dc.subjectScenariospt
dc.subjectSocio-technical approachpt
dc.subjectStakeholderspt
dc.titleScenarios for population health inequalities in 2030 in Europe: the EURO-HEALTHY project experiencept
dc.typearticleen
degois.publication.issue1pt
degois.publication.titleInternational Journal for Equity in Healthpt
dc.relation.publisherversionhttps://equityhealthj.biomedcentral.com/articles/10.1186/s12939-019-1000-8#citeaspt
dc.peerreviewedyespt
dc.identifier.doi10.1186/s12939-019-1000-8pt
degois.publication.volume18pt
dc.date.embargo2019-06-25*
uc.date.periodoEmbargo0pt
item.languageiso639-1en-
item.fulltextCom Texto completo-
item.grantfulltextopen-
crisitem.author.deptFaculty of Economics-
crisitem.author.deptFaculty of Arts and Humanities-
crisitem.author.researchunitCEISUC - Center for Health Studies and Research of the University of Coimbra-
crisitem.author.researchunitCEGOT – Centre of Studies on Geography and Spatial Planning-
crisitem.author.researchunitCEGOT – Centre of Studies on Geography and Spatial Planning-
crisitem.author.orcid0000-0002-9448-9542-
crisitem.author.orcid0000-0002-1081-2147-
crisitem.author.orcid0000-0002-7658-8475-
Appears in Collections:I&D CEGOT - Artigos em Revistas Internacionais
Files in This Item:
File Description SizeFormat
Scenarios for population health inequalities in 2030 in Europe.pdf1.49 MBAdobe PDFView/Open
Show simple item record

SCOPUSTM   
Citations

1
checked on May 29, 2020

WEB OF SCIENCETM
Citations 10

4
checked on Aug 2, 2021

Page view(s)

85
checked on Jul 28, 2021

Download(s)

63
checked on Jul 28, 2021

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons