开发“选择健康”数字减肥和维持干预措施：干预映射研究。

Developing the "Choosing Health" Digital Weight Loss and Maintenance Intervention: Intervention Mapping Study.

机构信息

Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland.

Physical Activity and Well-being Research Group, enAble Research Institute, Curtin University, Perth, Australia.

出版信息

J Med Internet Res. 2022 Oct 18;24(10):e34089. doi: 10.2196/34089.

DOI:10.2196/34089

PMID:36256827

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9627465/

Abstract

BACKGROUND

Digital health promotion programs tailored to the individual are a potential cost-effective and scalable solution to enable self-management and provide support to people with excess body weight. However, solutions that are widely accessible, personalized, and theory- and evidence-based are still limited.

OBJECTIVE

This study aimed to develop a digital behavior change program, Choosing Health, that could identify modifiable predictors of weight loss and maintenance for each individual and use these to provide tailored support.

METHODS

We applied an Intervention Mapping protocol to design the program. This systematic approach to develop theory- and evidence-based health promotion programs consisted of 6 steps: development of a logic model of the problem, a model of change, intervention design and intervention production, the implementation plan, and the evaluation plan. The decisions made during the Intervention Mapping process were guided by theory, existing evidence, and our own research-including 4 focus groups (n=40), expert consultations (n=12), and interviews (n=11). The stakeholders included researchers, public representatives (including individuals with overweight and obesity), and experts from a variety of relevant backgrounds (including nutrition, physical activity, and the health care sector).

RESULTS

Following a structured process, we developed a tailored intervention that has the potential to reduce excess body weight and support behavior changes in people with overweight and obesity. The Choosing Health intervention consists of tailored, personalized text messages and email support that correspond with theoretical domains potentially predictive of weight outcomes for each participant. The intervention content includes behavior change techniques to support motivation maintenance, self-regulation, habit formation, environmental restructuring, social support, and addressing physical and psychological resources.

CONCLUSIONS

The use of an Intervention Mapping protocol enabled the systematic development of the Choosing Health intervention and guided the implementation and evaluation of the program. Through the involvement of different stakeholders, including representatives of the general public, we were able to map out program facilitators and barriers while increasing the ecological validity of the program to ensure that we build an intervention that is useful, user-friendly, and informative. We also summarized the lessons learned for the Choosing Health intervention development and for other health promotion programs.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2020-040183.

摘要

背景

针对个体定制的数字健康促进方案是一种具有成本效益且可扩展的解决方案，可以实现自我管理并为超重人群提供支持。然而，广泛可及、个性化且基于理论和证据的解决方案仍然有限。

目的

本研究旨在开发一种数字行为改变方案，即选择健康，该方案可以识别每个人体重减轻和维持的可改变预测因素，并据此提供个性化支持。

方法

我们应用干预映射方案来设计该方案。这种开发基于理论和证据的健康促进方案的系统方法包括 6 个步骤：问题逻辑模型的制定、改变模型、干预设计和干预制作、实施计划和评估计划。在干预映射过程中做出的决策由理论、现有证据以及我们自己的研究（包括 4 个焦点小组（n=40）、专家咨询（n=12）和访谈（n=11））指导。利益相关者包括研究人员、公众代表（包括超重和肥胖人群）以及来自各种相关背景（包括营养、身体活动和医疗保健部门）的专家。

结果

通过结构化的过程，我们开发了一种有潜力减轻超重和肥胖人群超重的量身定制的干预措施，并支持他们的行为改变。选择健康干预措施包括个性化的短信和电子邮件支持，这些支持与每个参与者体重结果具有潜在预测性的理论领域相对应。干预内容包括行为改变技术，以支持动机维持、自我调节、习惯形成、环境重构、社会支持以及解决身体和心理资源问题。