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SATO(基于 BCIO 的 IDEAS 扩展):面向以患者为中心的移动健康行为改变干预应用程序设计师的工作流程。

SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications.

机构信息

Sano Centre for Computational Medicine, Czarnowiejska 36, Cracow, 30-054, Poland; Institute of Computing Science, Poznan University of Technology, Piotrowo 2, Poznan, 60-965, Poland.

Institute of Computing Science, Poznan University of Technology, Piotrowo 2, Poznan, 60-965, Poland.

出版信息

J Biomed Inform. 2023 Feb;138:104276. doi: 10.1016/j.jbi.2022.104276. Epub 2022 Dec 28.

Abstract

Designing effective theory-driven digital behaviour change interventions (DBCI) is a challenging task. To ease the design process, and assist with knowledge sharing and evaluation of the DBCI, we propose the SATO (IDEAS expAnded wiTh BCIO) design workflow based on the IDEAS (Integrate, Design, Assess, and Share) framework and aligned with the Behaviour Change Intervention Ontology (BCIO). BCIO is a structural representation of the knowledge in behaviour change domain supporting evaluation of behaviour change interventions (BCIs) but it is not straightforward to utilise it during DBCI design. IDEAS (Integrate, Design, Assess, and Share) framework guides multi-disciplinary teams through the mobile health (mHealth) application development life-cycle but it is not aligned with BCIO entities. SATO couples BCIO entities with workflow steps and extends IDEAS Integrate stage with consideration of customisation and personalisation. We provide a checklist of the activities that should be performed during intervention planning with concrete examples and a tutorial accompanied with case studies from the Cancer Better Life Experience (CAPABLE) European project. In the process of creating this workflow, we found the necessity to extend the BCIO to support the scenarios of multiple clinical goals in the same application. To ensure the SATO steps are easy to follow for the incomers to the field, we performed a preliminary evaluation of the workflow with two knowledge engineers, working on novel mHealth app design tasks.

摘要

设计有效的基于理论的数字行为改变干预(DBCI)是一项具有挑战性的任务。为了简化设计过程,促进知识共享和评估 DBCI,我们提出了基于 IDEAS(整合、设计、评估和共享)框架并与行为改变干预本体(BCIO)对齐的 SATO(IDEAS 扩展与 BCIO)设计工作流程。BCIO 是行为改变领域知识的结构表示,支持行为改变干预(BCI)的评估,但在 DBCI 设计过程中直接使用它并不容易。IDEAS(整合、设计、评估和共享)框架指导多学科团队完成移动健康(mHealth)应用程序的开发生命周期,但它与 BCIO 实体不一致。SATO 将 BCIO 实体与工作流程步骤结合起来,并通过考虑定制和个性化来扩展 IDEAS 整合阶段。我们提供了一份干预计划期间应执行的活动清单,其中包括具体示例和教程,并附有来自癌症更好生活体验(CAPABLE)欧洲项目的案例研究。在创建此工作流程的过程中,我们发现需要扩展 BCIO 以支持同一应用程序中的多个临床目标场景。为了确保新来者易于遵循 SATO 步骤,我们与两名从事新型 mHealth 应用程序设计任务的知识工程师一起对工作流程进行了初步评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9afb/9975785/a8af4999175d/ga1.jpg

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