Rondina Renante, van Mierlo Trevor, Fournier Rachel
Rotman School of Mangement, University of Toronto, Toronto, ON, Canada.
Evolution Health Systems, Toronto, ON, Canada.
JMIR Res Protoc. 2022 Aug 15;11(8):e37231. doi: 10.2196/37231.
Despite showing strong evidence of positive outcomes, a common problem in the field of digital health is poor engagement and adherence. Non-health care, for-profit digital ventures, such as Facebook, LinkedIn, and Twitter, conduct behavioral experiments to increase user engagement. To our knowledge, digital health organizations have not published similar types of experiments in ad libitum environments, and there are limited published data indicating whether nudges and prompts can be leveraged to increase engagement with digital health interventions.
The main objective of our 3-arm randomized controlled trial is to test whether registered members in two well-established digital health courses for anxiety and depression will engage with four different types of nudges and prompts, and whether engaging with nudges and prompts increases engagement within the courses.
New members who register for the self-guided anxiety and depression courses on the Evolution Health platform will be randomized into 1 of 3 arms. The first control arm will feature a member home page without any behavioral nudges or prompts. The second arm will feature a member home page with a Tip-of-the-Day section containing directive content. Arm 3 will feature a member home page with a Tip-of-the-Day section containing social proof and present bias content. The third arm will also feature a to-do item checklist.
The experiment was designed in August 2021 and was launched in November 2021. Initially, we will measure engagement with the tips and the to-do checklist by calculating the frequency of use by age and gender. If members do engage, we will then, according to age and gender, examine whether nudges and prompts result in higher course completion rates and whether specific types of prompts and nudges are more popular than others.
Our 3-arm randomized controlled trial will be the first to compare four distinct types of behavioral prompts and nudges in two self-guided digital health courses that were designed to treat mental health issues. We expect the results to generate insights into which types of behavioral prompts and nudges work best in the population. If they are shown to increase engagement, the insights will then be used to apply prompts and nudges to the platform's addiction-focused courses. Based on the results of the experiment, the insights will be applied to using artificial intelligence to train the platform to recognize different usage patterns and provide specific engagement recommendations to stratified users.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37231.
尽管有强有力的证据表明数字健康领域有积极成果,但该领域一个常见的问题是参与度和依从性较差。非医疗保健的营利性数字企业,如脸书、领英和推特,会进行行为实验以提高用户参与度。据我们所知,数字健康组织尚未在随意环境中发表过类似类型的实验,而且已发表的数据有限,无法表明是否可以利用助推和提示来提高对数字健康干预措施的参与度。
我们的三臂随机对照试验的主要目的是测试两个成熟的焦虑和抑郁数字健康课程的注册成员是否会对四种不同类型的助推和提示做出反应,以及对助推和提示的反应是否会提高课程内的参与度。
在进化健康平台上注册自助式焦虑和抑郁课程的新成员将被随机分为三组中的一组。第一个对照组的成员主页没有任何行为助推或提示。第二组的成员主页将有一个包含指导性内容的每日提示部分。第三组的成员主页将有一个包含社会证明和当前偏差内容的每日提示部分。第三组还将有一个待办事项清单。
该实验于2021年8月设计,并于2021年11月启动。最初,我们将通过计算按年龄和性别划分的使用频率来衡量对提示和待办事项清单的参与度。如果成员确实参与了,我们将然后根据年龄和性别,研究助推和提示是否会导致更高的课程完成率,以及特定类型的提示和助推是否比其他类型更受欢迎。
我们的三臂随机对照试验将是第一个在两个旨在治疗心理健康问题的自助式数字健康课程中比较四种不同类型行为提示和助推的试验。我们预计结果将能深入了解哪种类型的行为提示和助推在人群中效果最佳。如果它们被证明能提高参与度,这些见解将被用于在该平台以成瘾为重点的课程中应用提示和助推。根据实验结果,这些见解将被应用于利用人工智能训练该平台识别不同的使用模式,并为分层用户提供特定的参与建议。
国际注册报告识别号(IRRID):DERR1-10.2196/37231。