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The comparative interrupted time series design for assessment of diagnostic impact: methodological considerations and an example using point-of-care C-reactive protein testing.

Thomas R FanshawePhilip J TurnerMarjorie M GillespieGail N Hayward
Published in: Diagnostic and prognostic research (2022)
Quasi-experimental designs such as comparative interrupted time series can be used in diagnostic evaluation to estimate effect sizes before conducting a full randomised controlled trial or if a randomised trial is infeasible. In multi-site studies, existing retrospective data should be used to adjust for underlying differences between sites to make outcome data from different sites comparable, when possible.
Keyphrases
  • study protocol
  • electronic health record
  • big data
  • cross sectional
  • randomized controlled trial
  • machine learning
  • data analysis