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Piloting a classification framework for the types of evidence used in alcohol policymaking.

Michala KowalskiClaire WilkinsonMichael LivingstonAlison Ritter
Published in: Drug and alcohol review (2023)
The classification framework expands on models of evidence and knowledge used across public health, by mapping new evidence types and proposing an inductive method of classification. The policymakers' preferences found here are in line with theories regarding the alcohol industry's influence on policymaking. The classification framework piloted here can provide a useful tool to examine the evidence base used in decision-making. Further study of evidence types used in policymaking processes can help inform research translation and advocacy efforts to produce healthier alcohol policies.
Keyphrases
  • public health
  • machine learning
  • deep learning
  • decision making
  • healthcare
  • alcohol consumption
  • high resolution