Picturing inequities for health impact assessment: linked electronic records, mortality and regional disparities in Portugal

References

• Asaria M, Grasic K, Walker S. 2016. Using linked electronic health records to estimate healthcare costs: key challenges and opportunities. PharmacoEconomics. 34(2):155–160.10.1007/s40273-015-0358-8
   PubMed Web of Science ®Google Scholar
• Asaria M, Walker S, Palmer S, Gale CP, Shah AD, Abrams KR, Crowther M, Manca A, Timmis A, Hemingway H, et al. 2016. Using electronic health records to predict costs and outcomes in stable coronary artery disease. Heart. 102(10):755–762.10.1136/heartjnl-2015-308850
   PubMed Web of Science ®Google Scholar
• Bacelar-Nicolau L, Pereira Miguel J, Saporta G. 2008. The added value of multivariate statistical data analysis in policy HIA – a quantitative way of profiling subjects. In HIA08 Health Impact Assessment and Sustainable Well-being – 9th Conference on Health Impact Assessment, October 9–10, 2008, Liverpool
   Google Scholar
• Bacelar-Nicolau L, Pereira Miguel J, Saporta G. 2015a. Screening policies for health impact assessment: cluster analysis for easier decision making. Eur J Public Health. 25(Supplement 3):133–134.
   Google Scholar
• Bacelar-Nicolau L, Pereira Miguel J, Saporta G. 2015b. Screening policies in health impact assessment: easier decision making through cluster analysis. Eur J Epidemiol 30(2 (suppl.)): 852.
   Google Scholar
• Barkhuysen P, de Grauw W, Akkermans R, Donkers J, Schers H, Biermans M. 2014. Is the quality of data in an electronic medical record sufficient for assessing the quality of primary care? J Am Med Inform Assoc. 21(4):692–698.10.1136/amiajnl-2012-001479
   PubMed Web of Science ®Google Scholar
• Beresniak A, Schmidt A, Proeve J, Bolanos E, Patel N, Ammour N, Sundgren M, Ericson M, Karakoyun T, Coorevits P, et al. 2016. Cost–benefit assessment of using electronic health records data for clinical research versus current practices: Contribution of the Electronic Health Records for Clinical Research (EHR4CR) European Project. Contemp Clin Trials. 46:85–91.10.1016/j.cct.2015.11.011
   PubMed Web of Science ®Google Scholar
• Biro S, Williamson T, Legget JA, Barber D, Morkem R, Moore K, Belanger P, Mosley B, Janssen I. 2016. Utility of linking primary care electronic medical records with Canadian census data to study the determinants of chronic disease: an example based on socioeconomic status and obesity. BMC Med Inf Decis Making. 16(32). 10.1186/s12911-016-0272-9
   PubMed Web of Science ®Google Scholar
• Brodin H, Hodge S. 2008. A guide to quantitative methods in health impact assessment Stockholm. Sweden: STATENS FOLKHÄLSOINSTITUT, Östersund/Swedish National Institute of Public Health.
   Google Scholar
• Burke HB, Sessums LL, Hoang A, Becher DA, Fontelo P, Liu F, Stephens M, Angaro LN, ‘Malley PG, Baxi NS, et al. 2015. Electronic health records improve clinical note quality. J Am Med Inform Assoc. 22(1):199–205.
   PubMed Web of Science ®Google Scholar
• Cruz Ferreira R, César das Neves R, Nogueira P, Farinha C, Oliveira AL, Soares A, Alves MI, Martins J, Mendana T, Valente Rosa M, et al. 2016. Portugal – Doenças Cérebro-Cardiovasculares em números – 2015 Ministério da Saúde do Governo de Portugal. https://comum.rcaap.pt/handle/10400.26/15556. ISSN: 2183-0681.
   Google Scholar
• Daniel WW. 2009. Biostatistics—a foundation for analysis in the health sciences. 9th ed. Hoboken (NJ): John Wiley & Sons. ISBN-13: 978-0470105825, ISBN-10: 0470105828.
   Google Scholar
• Departamento da Qualidade na Saúde da Direção-Geral da Saúde. 2013. Norma DGS nº5/2013 actualizada a 21/01/2015. 5 ed.
   Google Scholar
• Departamento de Gestão e Financiamento de Prestações de Saúde da ACSS [ Department of Health Care Management and Financing from ACSS]. 2013a. Bilhete de Identidade dos Indicadores de Monitorização dos Cuidados de Saúde Primários 2013 [Identity card for primary health care monitoring indicators 2013] ACSS-Administração Central do Sistema de Saúde do Ministérios da Saúde de Portugal [Central Administration of the Health System of the Ministry of Health, Portugal].
   Google Scholar
• Departamento de Gestão e Financiamento de Prestações de Saúde da ACSS [ Department of Health Care Management and Financing from ACSS]. 2013b. Metodologia de Contratualização para os Cuidados de Saúde Primários no Ano de 2013 [Methodology of contractualisation for primary health care for the year 2013] ACSS-Administração Central do Sistema de Saúde do Ministérios da Saúde de Portugal [Central Administration of the Health System of the Ministry of Health, Portugal].
   Google Scholar
• Departamento de Gestão e Financiamento de Prestações de Saúde da ACSS [ Department of Health Care Management and Financing from ACSS]. 2014. Metodologia de Contratualização para os Cuidados de Saúde Primários no Ano de 2015 [Methodology of contractualisation for primary health care for the year 2015] ACSS-Administração Central do Sistema de Saúde do Ministérios da Saúde de Portugal [Central Administration of the Health System of the Ministry of Health, Portugal].
   Google Scholar
• Departamento de Gestão e Financiamento de Prestações de Saúde da ACSS [ Department of Health Care Management and Financing from ACSS]. 2015. Bilhete de Identidade dos Indicadores de Contratualização com as Unidades de Cuidados na Comunidade para o Ano de 2015 [Identity card of the contractual indicators with the units of care in the community for the year 2015] ACSS-Administração Central do Sistema de Saúde do Ministérios da Saúde de Portugal [Central Administration of the Health System of the Ministry of Health, Portugal].
   Google Scholar
• Donoho D 2015. 50 years of data science. In: John Tukey W, ed. 100th birthday celebration at Princeton University. Princeton, NJ; p. 1–41.
   Google Scholar
• European Centre for Health Policy. 1999. Health impact assessment—main concepts and suggested approach Gothenburg Consensus Paper. Göteborg: ECHP World Health Organization Regional Office for Europe.
   Google Scholar
• Fehr R, Viliani F, Nowacki J, Martuzzi M, editors. 2014. Health in impact assessments: opportunities not to be missed. Copenhagen: WHO Regional Office for Europe.
   Google Scholar
• Fehr R, Hurley F, Mekel OC, Mackenbach JP. 2012. Quantitative health impact assessment: taking stock and moving forward. J Epidemiol Community Health. 66(12):1088. 10.1136/jech-2011-200835
   PubMed Web of Science ®Google Scholar
• Fehr R, Mekel OCL, Fintan Hurley J, Mackenbach JP. 2016. Health impact assessment—a survey on quantifying tools. Environ Impact Assess Rev. 57:178–186. 10.1016/j.eiar.2016.01.001
   Web of Science ®Google Scholar
• Fischer T. 2017. Foreword to the first issue of 2017. Impact Assess Proj Appraisal. 35(1):1. 10.1080/14615517.2016.1274106
   Web of Science ®Google Scholar
• Forster AS, Burgess C, Dodhia H, Fuller F, Miller J, McDermott L, Gulliford MC. 2015. Do health checks improve risk factor detection in primary care? Matched cohort study using electronic health records. J Public Health (Oxf). 38(3): 552–559. doi: 10.1093/pubmed/fdv119. https://academic.oup.com/jpubhealth/article/38/3/552/2239822/Do-health-checks-improve-risk-factor-detection-in
   PubMed Web of Science ®Google Scholar
• Glover, D, Henderson J. 2010. Quantifying health impacts of governement policies Department of Health of the UK Government. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/216003/dh_120108.pdf
   Google Scholar
• Haigh F, Harris E, Harris-Roxas B, Baum F, Dannenberg AL, Harris MF, Keleher H, Kemp L, Morgan R, Chok HN, et al. 2015. What makes health impact assessments successful? Factors contributing to effectiveness in Australia and New Zealand. BMC Public Health. 15(1009):1–12.
   PubMedGoogle Scholar
• Hair JF, Black B, Babin B, Anderson RE, Tatham RL. 2006. Multivariate data analysis. 6th ed. Upper Saddle River (NJ): Prentice Hall. https://www.pearson.com/us/higher-education/product/Hair-Multivariate-Data-Analysis-6th-Edition/9780130329295.html, ISBN-9780130329295.
   Google Scholar
• Hansell A, Aylin P. 2003. Use of health data in health impact assessment. Impact Assess Proj Appraisal. 21(1):57–64. 10.3152/147154603781766473
   Google Scholar
• Harris-Roxas B, Haigh F, Travaglia J, Kemp L. 2014. Evaluating the impact of equity focused health impact assessment on health service planning: three case studies. BMC Health Serv Res. 14:43. 10.1186/1472-6963-14-371
   PubMed Web of Science ®Google Scholar
• Harris-Roxas B, Viliani F, Bond A, Cave B, Divall MJ, Furu P, Harris P, Soeberg M, Wernham A, Winkler M. 2012. Health impact assessment: the state of the art. Impact Assess Proj Appraisal. 30(1):43–52. 10.1080/14615517.2012.666035
   Web of Science ®Google Scholar
• Kemm J, editor. 2013. Health impact assessment: past achievements, current understanding and future progress. Oxford: Oxford University Press.
   Google Scholar
• Kleinbaum, DG, Klein M. 2010. Logistic regression—a self-learning text. 3rd ed. Springer-Verlag New York. 10.1007/978-1-4419-1742-3. ISBN-13: 978-1441917416.
   Google Scholar
• Lau F, Price M, Boyd J, Partridge C, Bell H, Raworth R. 2012. Impact of electronic medical record on physician practice in office settings: a systematic review. BMC Med Inf Decis Making. 12:1–10.
   PubMed Web of Science ®Google Scholar
• Lebart, L, Salem A. 1994. Statistique Textuelle Dunod. Dunod, Paris. http://lexicometrica.univ-paris3.fr/livre/st94/st94-tdm.html
   Google Scholar
• Majeed A, Car J, Sheikh A. 2008. Accuracy and completeness of electronic patient records in primary care. Family Pract. 25(4):213–214. 10.1093/fampra/cmn047
   PubMed Web of Science ®Google Scholar
• Mendes Ribeiro, J. 2009. Saúde—a Liberdade de Escolher [Health–Freedom to Choose] Gradiva Publicações SA. https://www.gradiva.pt/index.php?q=C/BOOKSSHOW/1292. ISBN: 978-989-616-332-7.
   Google Scholar
• Mendes Ribeiro J., Barreto AXD, Varanda JAV, Penedo JMV, Caiado JCF, Nunes JM, Santos NS, Boto PAF, Ivo RS, Santos TAC. 2011. Relatório Final do Grupo Técnico para a Reforma Hospitalar - Os Cidadãos no centro do Sistema, os Profissionais no centro da mudança [Final Report of the Technical Group for Hospital Reform – Citizens at the Center of the System, Professionals at the Center of Change]. Ministério da Saúde do Governo de Portugal [Ministry of Health, Portugal ]. https://www.sns.gov.pt/wp-content/uploads/2016/05/Relat%C3%B3rio-final-do-Grupo-T%C3%A9cnico-para-a-Reforma-Hospitalar.pdf
   Google Scholar
• Mendes Ribeiro J, Silva R, Caetano P, Picoto J, Nogueira P, Sequeira S, Ferreira G, Ferreira A, Nunes C. 2015. Relatório Final do Grupo Técnico para a Informação no Sistema de Saúde: Iniciativa para a Informação Centrada no Utente do Sistema de Saúde. Lisboa: Ministério da Saúde do Governo de Portugal.
   Google Scholar
• Merkur, S, Sassi F, McDaid D. 2013. Promoting health, preventing disease: Is there an economic case? WHO Regional Office for Europe and European Observatory on Health Systems and Policies. http://www.euro.who.int/__data/assets/pdf_file/0004/235966/e96956.pdf. http://www.euro.who.int/en/about-us/partners/observatory/publications/policy-briefs-and-summaries/promoting-health,-preventing-disease-is-there-an-economic-case.ISSN2077-1584.
   Google Scholar
• Merkur S, Maresso A, McDaid D. 2017. Editor’s comment. Eurohealth 23(1): 1.
   Google Scholar
• Mindell J, Hansell A, Morrison D, Douglas M, Joffe M. 2001. What do we need for robust, quantitative health impact assessment? J Public Health Med. 23(3):173–178. 10.1093/pubmed/23.3.173
   PubMedGoogle Scholar
• Nichols M, Townsend N, Luengo-Fernandez R, Leal J, Gray A, Scarborough P, Rayner M. 2012. European Cardiovascular Disease Statistics 2012, European Heart Network ed. Brussels: European Society of Cardiology.
   Google Scholar
• OECD—Organisation for Economic Co-operation and Development. 2016. Database access in the OECD website. [accessed on August 25, 2016]. http://stats.oecd.org/#
   Google Scholar
• OECD—Organisation for Economic Co-operation and Development. 2017. Ministerial statement: the next generation of health reforms. https://www.oecd.org/health/ministerial/ministerial-statement-2017.pdf
   Google Scholar
• Perk J, De Backer G, Gohlke H, Graham I, Reiner Z, Verschuren WMM, Albus C, Benlian P, Boysen G, Cifkova R, et al. 2012. European Guidelines on cardiovascular disease prevention in clinical practice (version 2012): The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice. Eur Heart J. 33:1635–1701.
   PubMed Web of Science ®Google Scholar
• Piepoli MF, Hoes A, Agewall S, Albus C, Brotons C, Catapano AL, Cooney M, Corra U, Cosyns B, Deaton C, et al. 2016. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice. Eur Heart J. 37(29): 2315–2381.
   PubMed Web of Science ®Google Scholar
• Quigley R, den Broeder L, Furo P, Bond A, Cave B, Bos R. 2006. Health Impact Assessment International Best Practice Principles. USA, IAIA-International Association for Impact Assessment: Fargo.
   Google Scholar
• Salcher M 2017. Connecting the dots: putting big data to work for health systems. Eurohealth 23(1): 4.
   Google Scholar
• Saporta, G. 2011. Probabilités, Analyse des Données et Statistique. 3e édition ed. Éditions Technip.
   Google Scholar
• Tanner C, Gans D, White J, Nath R, Pohl J. 2015. Electronic health records and patient safety: co-occurrence of early EHR implementation with patient safety practices in primary care settings. Appl Clin Inform. 6(1):136–147. 10.4338/ACI-2014-11-RA-0099
   PubMed Web of Science ®Google Scholar
• Veerman JL, Barendregt JJ, Mackenbach JP. 2005. Quantitative health impact assessment: current practice and future directions. J Epidemiol Community Health. 59(5):361–370. 10.1136/jech.2004.026039
   PubMed Web of Science ®Google Scholar
• WHO Regional Office for Europe. 2013. Health 2020: A European Policy Framework and Strategy for the 21st Century World Health Organization. http://www.euro.who.int/__data/assets/pdf_file/0011/199532/Health2020-Long.pdf. ISBN 978 92 890 0279 0.
   Google Scholar
• World Health Organization. August 13, 2015. Examples of HIA. [accessed 2015 Aug12]. http://www.who.int/hia/examples/en/.
   Google Scholar