Abstract
This chapter presents potential uses of information and communication technologies (ICTs) for public health, with a special focus on decision-making and decisional support systems. An overview of public health sub-domains is given as potential functional areas for ICTs and business intelligence. The specifics and principles of decision-making for public health policy are explained. Main methods and observational tools used in epidemiology are overviewed. Relevant decisional support architectures are presented, ranging from data warehouse techniques, geographical information systems and simulation tools. The relevance and reusability of medico-administrative data sources is discussed, and balanced with data from registries and cohort studies in the perspective of evidence-based decisional support systems for public health. Last, public health decisional support systems are discussed as tools for translational research in public health.
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References
Altman DG, Bland JM (1994) Diagnostic tests 1: sensitivity and specificity. BMJ 308:1552
AMIA (2013) www.amia.org/applications-informatics/public-health-informatics. Consulted on 24 June 2013
Andermann A (2008) Revisiting Wilson and Jungner in the genomic age: a review of screening criteria over the past 40 years. Bull World Health Organ 86(4):317–319
Ben Saïd M, le Mignot L, Mugnier C et al (2005) A multi-source information system via the internet for end-stage renal disease: scalability and data quality. Stud Health Technol Inform 116:994–999
Bernstein AB, Sweeney MH (2012) Public health surveillance data: legal, policy, ethical, regulatory, and practical issues. In: CDCs vision for public health surveillance in the 21st century, morbidity and mortality weekly report MMWR 61, Suppl; July 27, pp 30–4
Black N (2001) Evidence based policy: proceed with care. BMJ 323(7307):275–279
Blake KV, Devries CS, Arlett P et al (2012) Increasing scientific standards, independence and transparency in post-authorisation studies: the role of the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance. Pharmacoepidemiol Drug Saf 21(7):690–696
Bourdillon F, Brücker G, Tabuteau D (2007) Définitions de la Santé Publique. in Traité de Santé Publique, 2d Edition; 1–4; Médecine-Sciences Flammarion Ed
Breslow NE, Day NE (1987) The role of cohort studies in cancer epidemiology. In: Breslow NE, Day NE (eds) Statistical methods in cancer research. IARC Scientific Publications, Lyon
Breslow NE, Day NE (2000) Fundamental measures of disease occurrence and association. In: Breslow NE, Day NE (eds) Statistical methods in cancer research, 8th edn. IARC Scientific Publications, Lyon
Chaudhuri S, Dayal U (1997) An overview of data ware-housing and OLAP technology. In: SIGMOD Record Web edition, vol 26(1), pp 65–74. (http://www.sigmod.org/publications/sigmod-record/9703/index.html/?searchterm=Chaudhuri)
Corogeanu D, Willmes R, Wolke M et al (2012) Therapeutic concentrations of antibiotics inhibit Shiga toxin release from enterohemorrhagic E. coli O104:H4 from the 11 German outbreak. BMC Microbiol 12(1):1–1
Couchoud C, Stengel B, Landais P et al (2006) The renal epidemiology and information network (REIN): a new registry for end-stage renal disease in France. Nephrol Dial Transplant 21(2):411–418
Danchin N, Neumann A, Tuppin P et al (2011) Impact of free universal medical coverage on medical care and outcomes in low-income patients hospitalized for acute myocardial infarction: an analysis from the French National Health Insurance system. Circ Cardiovasc Qual Outcomes 4(6):619–625
Davis FG, Peterson CE, Bandiera F et al (2012) How do we more effectively move epidemiology into policy action? Ann Epidemiol 22(6):413–416
Dos Santos Silva I (1999) Cancer epidemiology: principles and methods, Overview of study designs. IARC Scientific Publications, Lyon, pp 83–101
Food and Drug Administration (2007) Computerized systems used in clinical investigations. 2007 May, pp 1–13. Available from www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM070266.pdf. Consulted on 12 Dec 2012
Food and Drug Administration (2005) Good pharmacovigilance practices and pharmacoepidemiologic assessment. 2005 Mar, pp 1–23. Available from www.fda.gov/downloads/RegulatoryInformation/Guidances/UCM126834.pdf. Consulted on 12 Dec 2012
Elveback L, Varma A (1965) Simulation of mathematical models for public health problems. Public Health Rep 80(12):1067–1076
Esteve J, Benhamou E, Raymond L (1994) Statistical methods in cancer research. IARC Scientific Publications, Lyon
Florin D (1999) Scientific uncertainty and the role of expert advice: the case of health checks for coronary heart disease prevention by general practitioners in the UK. Soc Sci Med 49:1269–1283
Fone D, Hollinghurst S, Temple M et al (2003) Systematic review of the use and value of computer simulation modeling in population health and health care delivery. J Public Health Med 25(4):325–335
Frendi M, Salinesi C (2003) Requirement engineering for data warehousing. In: Proceedings of the 9th international workshop on requirements engineering: foundations of software quality (REFSQ’03), Klagenfurt/Velden, Austria, 16–17 June 2003
Frenk J, Bobadilla JL, Stern C et al (1991) Elements for a theory of the health transition. Health Transit Rev 1(1):21–38
Gordon RS (1983) An operational classification of disease prevention. Public Health Rep 88(2):107–109
Grade Working Group (2004) Grading quality of evidence and strength of recommendations. BMJ 328:1490–1494
Graham H (2010) Where is the future in public health? Milbank Q 88(2):149–168
Greene T (2009) Randomized and observational studies in nephrology: how strong is the evidence? Am J Kidney Dis 53:377–388
Hussey P, Anderson GF (2003) A comparison of single- and multi-payer health insurance systems and options for reform. Health Policy 66(3):215–228
Jensen OM, Parkin DM, MacLennan R et al (1991) Cancer registration: principles and methods. IARC Scientific Publications, Lyon
Lewis B, Eubank S, Abrams AM et al (2013) In silico surveillance: evaluating outbreak detection with simulation models. BMC Med Inform Decis Mak 13(1):12
Lis Y, Roberts MH, Kamble S et al (2012) Comparisons of food and drug administration and European medicines agency risk management implementation for recent pharmaceutical approvals: report of the international society for pharmacoeconomics and outcomes research risk benefit management working group. Value Health 15(8):1108–1118
Maria A (1997) Introduction to modeling and simulation. In: Proceedings of the 97 winter simulation conference, Atlanta, 7–10 Dec, pp 1–7
Minkler M (1989) Health education, health promotion and the open society: an historical perspective. Health Educ Behav 16:17–30
NIH (2013) http://www.nih.gov/health/clinicaltrials/basics.htm. Consulted on 24 Jun 2013
Pierce N (2012) Classification of epidemiological study designs. Int J Epidemiol 41(2):393–397
Poole J, Chang D, Tolbert D et al (2002) Common Warehouse Metamodel, an introduction to the standard for data warehouse integration. Wiley, New York
Pruett TL, Blumberg EA, Cohen DJ et al (2012) A consolidated biovigilance system for blood, tissue and organs: one size does not fit all. Am J Transplant 12(5):1099–1101
Quan H, Li B, Duncan Saunders L et al (2008) Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res 43(4):1424–1441
Robertson C, Nelson TA (2010) Review of software for space-time disease surveillance. Int J Health Geogr 9:16
Rose G, Barker D (1978a) What is epidemiology? BMJ 2:803–804
Rose G, Barker D (1978b) Rates. BMJ 2:941–942
Rose G, Barker D (1978c) Comparing rates. BMJ 2:1282–1283
Rychetnik L, Bauman A, Laws R et al (2012) Translating research for evidence-based public health: key concepts and future directions. J Epidemiol Community Health 66(12):1187–1192
Strang WN, Tuppin P, Atinault A et al (2005) The French organ transplant data system. Stud Health Technol Inform 116:77–82
Szklo M, Nieto FJ (2012) Measuring disease occurrence. In: Epidemiology: beyond the basics, 3rd edn. Jones & Barlett Learning Publishers, Burlington
Tuppin P, de Roquefeuil L, Weill A et al (2010) French national health insurance information system and the permanent beneficiaries sample. Rev Epidemiol Sante Publique 58(4):286–290
Vanhoorne MN, Vanachter OV, De Ridder MP (2006) Occupational health care for the 21st century: from health at work to workers’ health. Int J Occup Environ Health 12(3):278–285
Victora CG, Habicht J-P, Bryce J (2004) Evidence-based public health: moving beyond randomized trials. Am J Public Health 4(3):400–405
Walters L (2012) Genetics and bioethics: how our thinking has changed since 1969. Theor Med Bioeth 33(1):83–95
Winslow C-EA (1926) Public health at the crossroads. Am J Public Health 16(11):1075–1085
Worden R, Scott P (2011) Simplifying HL7 Version 3 messages. Stud Health Technol Inform 169:709–713
World Health Organization (1998) Therapeutic patient education. http://www.euro.who.int/document/e63674.pdf. Consulted on 12 Dec 2012
World Health Organization (1999) Overview of the environment and health in Europe in the 90s. www.euro.who.int/__data/assets/pdf_file/0003/109875/E66792.pdf. Consulted on 12 Dec 2012
World Health Organization (2007a) Everybody’s business: strengthening health systems to improve health outcomes. www.who.int/healthsystems/strategy/everybodys_business.pdf. Consulted on 12 Dec 2012
World Health Organization (2007b) The world health report 2007: a safer future. www.who.int/whr/2007/whr07_en.pdf. Consulted on 12 Dec 2012
Zarin DA, Tse T, Williams RJ et al (2011) The ClinicalTrials.gov results database – update and key issues. N Engl J Med 364(9):852–860
Zerhouni E (2005) Translational and clinical science – time for a new vision. N Engl J Med 353(15):1621–1623
Ziegler A, Koch A, Krockenberger K et al (2012) Personalized medicine using DNA biomarkers: a review. Hum Genet 131(10):1627–1638
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Jacquelinet, C., Belhadj, I., Bayer, F., Sauleau, E., Lévy, P., Chaudet, H. (2014). Public Health Decision Support. In: Venot, A., Burgun, A., Quantin, C. (eds) Medical Informatics, e-Health. Health Informatics. Springer, Paris. https://doi.org/10.1007/978-2-8178-0478-1_10
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DOI: https://doi.org/10.1007/978-2-8178-0478-1_10
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