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Health Impact Assessment : Quantifying and Modeling to Better Decide

Abstract : Health Impact Assessment (HIA) is a decision-making support tool to judge a policy as to its potential effects and its distribution on a population’s health (equity). It’s still very often a qualitative approach.The main aim here is to show the usefulness of applying quantified multivariate statistical methodologies to enrich HIA practice, while making the decision-making process easier, by issuing understandable outputs even for non-statisticians.The future of healthcare reforms shifts the center of evaluation of health systems from providers to people’s individual needs and preferences, reducing health inequities in access and health outcomes, using big data linking information from providers to social and economic health determinants. Innovative statistical and assessment methodologies are needed to make this transformation.Data mining and data science methods, however complex, may lead to graphical outputs simple to understand by decision makers. HIA is thus a valuable tool to assure public policies are indeed evaluated while considering health determinants and equity and bringing citizens to the center of the decision-making process.
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Submitted on : Friday, December 21, 2018 - 1:04:35 AM
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  • HAL Id : tel-01962947, version 1



Leonor Bacelar-Nicolau. Health Impact Assessment : Quantifying and Modeling to Better Decide. Business administration. Conservatoire national des arts et metiers - CNAM, 2017. English. ⟨NNT : 2017CNAM1151⟩. ⟨tel-01962947⟩



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