Model Choice for Quantitative Health Impact Assessment and Modelling: An Expert Consultation and Narrative Literature Review.

Journal: International journal of health policy and management
PMID:

Abstract

BACKGROUND: Health impact assessment (HIA) is a widely used process that aims to identify the health impacts, positive or negative, of a policy or intervention that is not necessarily placed in the health sector. Most HIAs are done prospectively and aim to forecast expected health impacts under assumed policy implementation. HIAs may quantitatively and/ or qualitatively assess health impacts, with this study focusing on the former. A variety of quantitative modelling methods exist that are used for forecasting health impacts, however, they differ in application area, data requirements, assumptions, risk modelling, complexities, limitations, strengths, and comprehensibility. We reviewed relevant models, so as to provide public health researchers with considerations for HIA model choice.

Authors

  • Natalie Mueller
    ISGlobal, Barcelona, Spain.
  • Rodrigo Anderle
    Institute of Collective Health (ISC), Federal University of Bahia (UFBA), Salvador, Brazil.
  • Nicolai Brachowicz
    ISGlobal, Barcelona, Spain.
  • Helton Graziadei
    School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro, Brazil.
  • Simon J Lloyd
    ISGlobal, Barcelona, Spain.
  • Gabriel de Sampaio Morais
    Institute of Collective Health (ISC), Federal University of Bahia (UFBA), Salvador, Brazil.
  • Alberto Pietro Sironi
    Institute of Collective Health (ISC), Federal University of Bahia (UFBA), Salvador, Brazil.
  • Karina Gibert
    Intelligent Data Science and Artificial Intelligence Research Center, Universitat Politècnica de Catalunya (IDEAI-UPC), Barcelona, Spain.
  • Cathryn Tonne
    ISGlobal, Barcelona, Spain.
  • Mark Nieuwenhuijsen
    ISGlobal, Barcelona, Spain.
  • Davide Rasella
    ISGlobal, Barcelona, Spain.