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A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data.

Christina MariniNicole S NorthoverNoah D GoldUrsula K RogersKelley C O'DonnellBabak TofighiStephen RossMichael P Bogenschutz
Published in: Substance abuse : research and treatment (2023)
Variability in procedures for conversion of self-reported alcohol consumption to standard drinks can confound the interpretation of TLFB data. The use and reporting of a detailed SOP can significantly reduce the potential for such inconsistencies. Detailed and consistent procedures for calculation of standard drinks can enhance the quality of TLFB drinking data.
Keyphrases
  • alcohol consumption
  • electronic health record
  • big data
  • machine learning
  • emergency department
  • risk assessment
  • artificial intelligence
  • deep learning
  • human health
  • drug induced