Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/29665
Título: Picturing inequities for health impact assessment : linked electronic records, mortality and regional disparities in Portugal
Autor: Nicolau, Leonor Bacelar
Rodrigues, Teresa
Fernandes, Elisabete
Lobo, Mariana F.
Nisa, Cláudia Fernandes
Azzone, Vanessa
Pinto, Armando Teixeira
Pereira, Altamiro Costa
Normand, Sharon-Lise Teresa
Miguel, José Pereira
Palavras-chave: Equity
Quantification
Decision-making
Big Data
Data science
Acute myocardial infarction
Data: 2017
Editora: Taylor & Francis
Citação: Impact Assessment and Project Appraisal, 2018 VOL. 36, NO. 1, 90–104
Resumo: Health impact assessment (HIA) focuses on minimizing inequities when studying the effects of a policy on the population’s health. Nevertheless, it is seldom simultaneously quantified, multivariate, and visually graphically comprehensible for non-statisticians. This paper aims to address that gap, assessing a policy promoting the quality of Electronic Health Records, linking hospital and primary health care data (Blood Pressure, Cholesterol, Triglycerides, Waist Circumference, Body Mass Index) to mortality outcomes and regional inequities. Acute Myocardial Infarction patients admitted in the hospital are then followed regularly in Portuguese NHS Primary Care. Regional disparities regarding recorded information are observed and different association patterns with mortality identified, ranked, and visualized through adjusted ORs for sex, age, and indicators of severity of hospital admission, complemented with multivariate correspondence analysis. A pathway to handling equity within quantitative HIA shows that complexity in data and methods may generate simplicity and clarity through visual graphical aids. Tackling Big Data with Data Science in HIA may even be at the center of future health reforms, assessing impacts of health promotion and chronic disease policies.
Descrição: © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
Peer review: yes
URI: http://hdl.handle.net/10451/29665
DOI: 10.1080/14615517.2017.1364016
ISSN: 1471-5465
Versão do Editor: http://www.tandfonline.com/loi/tiap20
Aparece nas colecções:FM-ISAMB-Artigos em Revistas Internacionais
FM-IMPSP-Artigos em Revistas Internacionais

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Picturing_inequities.pdf2,24 MBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.