Statistical issues in pragmatic trials of behavioral economic interventions

Clin Trials. 2016 Oct;13(5):478-83. doi: 10.1177/1740774516654862. Epub 2016 Jun 30.

Abstract

Background: Randomized clinical trials provide gold-standard evidence for the efficacy of interventions, but have limitations, including highly selected populations that make inference on effectiveness difficult and a lack of ability to adapt and change midstream.

Methods: We propose two innovations for pragmatic trial design.

Results: Evidence-based evolutionary testing, a framework that allows adaptation of interventions and rapid-cycle innovation, preserves the power of randomization while acknowledging the need for adaptation and learning. An opt-out consent framework increases the fraction of the target population who participate in trials, but may lead to dampening of effect sizes.

Conclusion: Pragmatic trials offer numerous advantages in the evaluation of behavioral interventions in health. Statistical innovations, including evidence-based evolutionary testing and opt-out framing of consent and enrollment processes, can enhance the power of pragmatic trials and lead to more rapid progress.

Keywords: Effectiveness; generalizability; innovation; opt-out consent.

MeSH terms

  • Biometry / methods*
  • Comparative Effectiveness Research / statistics & numerical data*
  • Economics, Behavioral / statistics & numerical data*
  • Humans
  • Randomized Controlled Trials as Topic*
  • Research Design
  • Statistics as Topic*