The National Research Centre for the Working Environment, Copenhagen, Denmark.
Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
J Med Internet Res. 2022 Jan 24;24(1):e26555. doi: 10.2196/26555.
International guidelines consistently endorse the promotion of self-management for people with low back pain (LBP); however, implementation of these guidelines remains a challenge. Digital health interventions, such as those that can be provided by smartphone apps, have been proposed as a promising mode of supporting self-management in people with chronic conditions, including LBP. However, the evidence base for digital health interventions to support self-management of LBP is weak, and detailed descriptions and documentation of the interventions are lacking. Structured intervention mapping (IM) constitutes a 6-step process that can be used to guide the development of complex interventions.
The aim of this paper is to describe the IM process for designing and creating an app-based intervention designed to support self-management of nonspecific LBP to reduce pain-related disability.
The first 5 steps of the IM process were systematically applied. The core processes included literature reviews, brainstorming and group discussions, and the inclusion of stakeholders and representatives from the target population. Over a period of >2 years, the intervention content and the technical features of delivery were created, tested, and revised through user tests, feasibility studies, and a pilot study.
A behavioral outcome was identified as a proxy for reaching the overall program goal, that is, increased use of evidence-based self-management strategies. Physical exercises, education, and physical activity were the main components of the self-management intervention and were designed and produced to be delivered via a smartphone app. All intervention content was theoretically underpinned by the behavior change theory and the normalization process theory.
We describe a detailed example of the application of the IM approach for the development of a theory-driven, complex, and digital intervention designed to support self-management of LBP. This description provides transparency in the developmental process of the intervention and can be a possible blueprint for designing and creating future digital health interventions for self-management.
国际指南一致支持促进腰痛(LBP)患者的自我管理;然而,这些指南的实施仍然是一个挑战。数字健康干预措施,如智能手机应用程序提供的干预措施,被认为是支持慢性疾病患者自我管理的一种有前途的模式,包括 LBP。然而,数字健康干预措施支持 LBP 自我管理的证据基础薄弱,并且缺乏对干预措施的详细描述和记录。结构化干预映射(IM)构成了一个 6 步过程,可用于指导复杂干预措施的开发。
本文旨在描述用于设计和创建基于应用程序的干预措施的 IM 过程,该干预措施旨在支持非特异性 LBP 的自我管理,以减少与疼痛相关的残疾。
系统地应用了 IM 过程的前 5 个步骤。核心过程包括文献综述、头脑风暴和小组讨论,以及纳入利益相关者和目标人群的代表。在超过 2 年的时间里,通过用户测试、可行性研究和试点研究,创建、测试和修改了干预内容和交付的技术特征。
确定了行为结果作为达到总体计划目标的代理,即增加使用基于证据的自我管理策略。体育锻炼、教育和体育活动是自我管理干预的主要组成部分,旨在通过智能手机应用程序进行交付。所有干预内容都由行为改变理论和规范化过程理论提供理论依据。
我们描述了应用 IM 方法开发支持 LBP 自我管理的理论驱动、复杂和数字干预措施的详细示例。该描述提供了干预措施发展过程的透明度,并可为设计和创建未来用于自我管理的数字健康干预措施提供蓝图。