Sequential Multiple Assignment Randomized Trials (SMARTs) are increasing in popularity in behavior science research with over 130 federally funded studies currently active. SMARTs use multiple randomizations to experimentally evaluate the impact of different decisions during an ongoing adaptive intervention. While many aspects of SMARTs are similar to more traditional single-randomization trials, the additional complexity and variability introduced during subsequent randomization requires specificity in reporting. Due to the increase in the application and reporting of SMARTs, this paper serves as a guide to support transparent reporting of adaptive intervention research. Further, these guidelines provide detail to ensure that future meta-analyses examining SMARTs can be robust. We provide recommendations for reporting and how reporting in SMARTs warrant additional detail above and beyond a traditional randomized trial.

序贯多重分配随机试验 (SMART) 在行为科学研究中越来越受欢迎，目前有 130 多项联邦资助的研究正在进行中。 SMART 使用多重随机化来通过实验评估持续适应性干预期间不同决策的影响。虽然 SMART 的许多方面与更传统的单一随机试验相似，但后续随机化过程中引入的额外复杂性和变异性需要报告的特异性。由于 SMART 的应用和报告的增加，本文可作为支持适应性干预研究透明报告的指南。此外，这些指南还提供了详细信息，以确保未来检查 SMART 的荟萃分析能够稳健。我们提供报告建议以及 SMART 报告如何保证传统随机试验之外的更多细节。