Hybrid Experimental Designs for Intervention Development: What, Why, and How. Issue 3 (September 2022)

• Record Type: Journal Article
• Authors: Nahum-Shani, Inbal; Dziak, John J.; Walton, Maureen A.; Dempsey, Walter
• Is Part Of: Advances in methods and practices in psychological science. Volume 5:Issue 3(2022)
• Publication Date: 2022-09
• Subjects: experiment -- design -- factorial -- intervention -- randomization -- clinical trial -- therapy -- treatment -- health -- hybrid experimental designs -- digital interventions -- human-delivered interventions -- experimental designs -- intervention adaptation -- open materials; Psychology -- Periodicals; Psychology -- Research -- Periodicals; 150
• DOI: 10.1177/25152459221114279
• Languages: English
• ISSNs: 2515-2459

Abstract

Advances in mobile and wireless technologies offer tremendous opportunities for extending the reach and impact of psychological interventions and for adapting interventions to the unique and changing needs of individuals. However, insufficient engagement remains a critical barrier to the effectiveness of digital interventions. Human delivery of interventions (e.g., by clinical staff) can be more engaging but potentially more expensive and burdensome. Hence, the integration of digital and human-delivered components is critical to building effective and scalable psychological interventions. Existing experimental designs can be used to answer questions either about human-delivered components that are typically sequenced and adapted at relatively slow timescales (e.g., monthly) or about digital components that are typically sequenced and adapted at much faster timescales (e.g., daily). However, these methodologies do not accommodate sequencing and adaptation of components at multiple timescales and hence cannot be used to empirically inform the joint sequencing and adaptation of human-delivered and digital components. Here, we introduce the hybrid experimental design (HED)—a new experimental approach that can be used to answer scientific questions about building psychological interventions in which human-delivered and digital components are integrated and adapted at multiple timescales. We describe the key characteristics of HEDs (i.e., what they are), explain their scientific rationale (i.e., why they are needed), and provide guidelines for their design and corresponding data analysis (i.e., how can data arising from HEDs be used to inform effective and scalable psychological interventions).