Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy

Daniel Almirall, Scott N. Compton, Meredith L Gunlicks-Stoessel, Naihua Duan, Susan A. Murphy

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

Abstract

There is growing interest in how best to adapt and readapt treatments to individuals to maximize clinical benefit. In response, adaptive treatment strategies (ATS), which operationalize adaptive, sequential clinical decision making, have been developed. From a patient's perspective an ATS is a sequence of treatments, each individualized to the patient's evolving health status. From a clinician's perspective, an ATS is a sequence of decision rules that input the patient's current health status and output the next recommended treatment. Sequential multiple assignment randomized trials (SMART) have been developed to address the sequencing questions that arise in the development of ATSs, but SMARTs are relatively new in clinical research. This article provides an introduction to ATSs and SMART designs. This article also discusses the design of SMART pilot studies to address feasibility concerns, and to prepare investigators for a full-scale SMART. We consider an example SMART for the development of an ATS in the treatment of pediatric generalized anxiety disorders. Using the example SMART, we identify and discuss design issues unique to SMARTs that are best addressed in an external pilot study prior to the full-scale SMART. We also address the question of how many participants are needed in a SMART pilot study. A properly executed pilot study can be used to effectively address concerns about acceptability and feasibility in preparation for (that is, prior to) executing a full-scale SMART.

Original languageEnglish (US)
Pages (from-to)1887-1902
Number of pages16
JournalStatistics in Medicine
Volume31
Issue number17
DOIs
StatePublished - Jul 30 2012

Keywords

  • Adaptive
  • Dynamic treatment regimes
  • Experimental
  • Individualized
  • Intervention
  • Pilot

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