Hybrid Experimental Designs for Intervention Development: What, Why, and How.

Hybrid Experimental Designs for Intervention Development: What, Why, and How.
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DOI:
10.1177/25152459221114279
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发表时间:
2022-07
影响因子:
13.6
通讯作者:
Dempsey, Walter
Dempsey, Walter
中科院分区:
心理学1区
文献类型:
--
作者:
Nahum-Shani, Inbal;Dziak, John J.;Walton, Maureen A.;Dempsey, Walter

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移动和无线技术的进步为扩大心理干预的范围和影响以及根据个人独特和不断变化的需求调整干预措施提供了巨大的机会。然而,参与不足仍然是数字干预措施有效性的一个关键障碍。人工干预(例如由临床工作人员)可能更具吸引力,但可能更昂贵且繁重。因此,数字和人工交付组件的集成对于建立有效且可扩展的心理干预措施至关重要。现有的实验设计可用于回答有关通常以相对较慢的时间尺度(例如每月)排序和调整的人工交付组件的问题,或有关通常以更快的时间尺度(例如每天)排序和调整的数字组件的问题。然而,这些方法不适合在多个时间尺度上对组件进行排序和适应,因此不能用于根据经验为人工交付和数字组件的联合排序和适应提供信息。在这里,我们介绍了混合实验设计(HED)——一种新的实验方法,可用于回答有关建立心理干预措施的科学问题,其中人工交付和数字组件在多个时间尺度上进行集成和调整。我们描述 HED 的关键特征(即它们是什么),解释其科学原理(即为什么需要它们),并为其设计和相应的数据分析提供指南(即如何使用 HED 产生的数据来为有效且可扩展的心理干预提供信息)。
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).
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