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首页> 外文期刊>JMIR mHealth and uHealth >“Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials
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“Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials

机译:“智能” RCT:开发用于全自动营养标签干预试验的智能手机应用程序

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Background There is substantial interest in the effects of nutrition labels on consumer food-purchasing behavior. However, conducting randomized controlled trials on the impact of nutrition labels in the real world presents a significant challenge. Objective The Food Label Trial (FLT) smartphone app was developed to enable conducting fully automated trials, delivering intervention remotely, and collecting individual-level data on food purchases for two nutrition-labeling randomized controlled trials (RCTs) in New Zealand and Australia. Methods Two versions of the smartphone app were developed: one for a 5-arm trial (Australian) and the other for a 3-arm trial (New Zealand). The RCT protocols guided requirements for app functionality, that is, obtaining informed consent, two-stage eligibility check, questionnaire administration, randomization, intervention delivery, and outcome assessment. Intervention delivery (nutrition labels) and outcome data collection (individual shopping data) used the smartphone camera technology, where a barcode scanner was used to identify a packaged food and link it with its corresponding match in a food composition database. Scanned products were either recorded in an electronic list (data collection mode) or allocated a nutrition label on screen if matched successfully with an existing product in the database (intervention delivery mode). All recorded data were transmitted to the RCT database hosted on a server. Results In total approximately 4000 users have downloaded the FLT app to date; 606 (Australia) and 1470 (New Zealand) users met the eligibility criteria and were randomized. Individual shopping data collected by participants currently comprise more than 96,000 (Australia) and 229,000 (New Zealand) packaged food and beverage products. Conclusions The FLT app is one of the first smartphone apps to enable conducting fully automated RCTs. Preliminary app usage statistics demonstrate large potential of such technology, both for intervention delivery and data collection. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12614000964617. New Zealand trial: Australian New Zealand Clinical Trials Registry ACTRN12614000644662.
机译:背景技术营养标签对消费者食品购买行为的影响引起了极大的兴趣。然而,对营养标签在现实世界中的影响进行随机对照试验提出了巨大挑战。目标开发了食品标签试验(FLT)智能手机应用程序,以支持进行完全自动化的试验,远程干预并收集关于新西兰和澳大利亚的两项营养标签随机对照试验(RCT)的食品购买量的个人数据。方法开发了两个版本的智能手机应用程序:一个用于5臂试验(澳大利亚),另一个用于3臂试验(新西兰)。 RCT协议指导了对应用程序功能的要求,即获得知情同意,两阶段资格检查,问卷管理,随机化,干预措施交付和结果评估。干预交付(营养标签)和结果数据收集(个人购物数据)使用了智能手机摄像头技术,该技术使用条形码扫描仪识别包装食品,并将其与食品成分数据库中的对应匹配项进行链接。如果扫描的产品与数据库中的现有产品成功匹配,则将其扫描记录在电子列表中(数据收集模式)或在屏幕上分配营养标签(干预交付模式)。所有记录的数据都传输到服务器上托管的RCT数据库。结果迄今为止,总共有大约4000个用户下载了FLT应用程序; 606(澳大利亚)和1470(新西兰)的用户符合资格标准并被随机分配。参与者收集的个人购物数据目前包括96,000多种(澳大利亚)和229,000多种(新西兰)包装食品和饮料产品。结论FLT应用程序是最早能够进行全自动RCT的智能手机应用程序之一。初步的应用使用统计数据表明,这种技术在干预交付和数据收集方面都具有巨大潜力。试验注册澳大利亚新西兰临床试验注册中心ACTRN12614000964617。新西兰审判:澳大利亚新西兰临床试验注册处ACTRN12614000644662。

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