Iterative development of Vegethon: a theory-based mobile app intervention to increase vegetable consumption
Iterative development of Vegethon: a theory-based mobile app intervention to increase vegetable consumption
复制标题
DOI：
10.1186/s12966-016-0400-z
复制
发表时间：
2016-08-08
影响因子：
8.7
通讯作者：
Sutton, Stephen
中科院分区：
文献类型：
--
作者：
Mummah, Sarah A.;King, Abby C.;Sutton, Stephen
背景：移动技术可以作为提供行为营养干预的一种具有成本效益和可扩展的工具。这项研究试图迭代开发一个理论驱动的移动应用程序，Vegethon，以增加蔬菜消费。方法：Vegethon的开发遵循IDEAS框架概述的阶段：1)与用户产生共鸣（定性访谈，n = 18）；2)明确目标行为；3)行为理论基础；4)完善实施策略；5)潜在产品原型；6)收集用户反馈（定性访谈，n = 14；问卷调查，n = 41）；7)构建最小可行产品；8)试验的潜在疗效和可用性（先导随机对照试验，n = 17）。每个阶段的发现为后续阶段提供了信息。告知干预发展的目标人群年龄为18-50岁，bmi为28-40 kg/m(2)，居住在斯坦福大学周边地理区域。论文中包含了对Vegethon最终版本的完整描述。结果：形成最初干预概念的定性发现是：参与者对没有判断的问责感兴趣；他们渴望简单有效的饮食自我监控；以及提前计划膳食的重要性。在干预改进过程中确定的定性结果是需要关注蔬菜自我监测；包括蔬菜挑战；特征的简化；吃蔬菜的建议和灵感；提醒通知;还有同伴比较。试验性随机对照试验结果表明，该干预措施具有初步疗效、可接受性和可行性。《Vegethon》的最终版本能够轻松地自我监控蔬菜消费，并包含一系列旨在吸引用户的功能（如惊喜挑战、排行榜、周报）。对Vegethon进行编码是因为它包含了18种行为改变技术（bct）（例如，目标设定、反馈、社会比较、提示/线索、框架/重构、身份认同）。结论：Vegethon是一种基于理论的、用户知情的移动干预，是使用IDEAS框架系统开发的。Vegethon的目标是增加超重成年人的蔬菜摄入量，目前正在一项随机对照疗效试验中进行评估。
Background: Mobile technology may serve as a cost-effective and scalable tool for delivering behavioral nutrition interventions. This research sought to iteratively develop a theory-driven mobile app, Vegethon, to increase vegetable consumption.Methods: Development of Vegethon followed phases outlined by the IDEAS framework: 1) empathize with users (qualitative interviews, n = 18); 2) specify target behavior; 3) ground in behavioral theory; 4) ideate implementation strategies; 5) prototype potential products; 6) gather user feedback (qualitative interviews, n = 14; questionnaire, n = 41); 7) build minimum viable product; and 8) pilot potential efficacy and usability (pilot RCT, n = 17). Findings from each phase informed subsequent phases. The target population that informed intervention development was 18-50 years of age, had BMIs of 28-40 kg/m(2), and lived in the geographical area surrounding Stanford University. A full description of the final version of Vegethon is included in the paper.Results: Qualitative findings that shaped initial intervention conception were: participants' interests in accountability without judgment; their desire for simple and efficient dietary self-monitoring; and the importance of planning meals in advance. Qualitative findings identified during intervention refinement were the need for a focus on vegetable self-monitoring; inclusion of vegetable challenges; simplification of features; advice and inspiration for eating vegetables; reminder notifications; and peer comparison. Pilot RCT findings suggested the initial efficacy, acceptance, and feasibility of the intervention. The final version of Vegethon enabled easy self-monitoring of vegetable consumption and included a range of features designed to engage the user (e.g., surprise challenges; leaderboard; weekly reports). Vegethon was coded for its inclusion of 18 behavior change techniques (BCTs) (e.g., goal setting; feedback; social comparison; prompts/cues; framing/reframing; identity).Conclusions: Vegethon is a theory-based, user-informed mobile intervention that was systematically developed using the IDEAS framework. Vegethon targets increased vegetable consumption among overweight adults and is currently being evaluated in a randomized controlled efficacy trial.