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使用干预映射开发基于决策支持系统的智能手机应用程序(selfBACK)以支持非特异性下腰痛的自我管理:开发和可用性研究。

Using Intervention Mapping to Develop a Decision Support System-Based Smartphone App (selfBACK) to Support Self-management of Nonspecific Low Back Pain: Development and Usability Study.

机构信息

The National Research Centre for the Working Environment, Copenhagen, Denmark.

Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.

出版信息

J Med Internet Res. 2022 Jan 24;24(1):e26555. doi: 10.2196/26555.

Abstract

BACKGROUND

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.

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

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。

目的

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。

方法

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。

结果

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ab4/8822424/dfce0c97eea9/jmir_v24i1e26555_fig1.jpg

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