software to translate behavioral economic insights to improve health

描述(申请人提供)：吸烟、不坚持用药和导致肥胖的生活习惯等不健康行为是导致美国人口过早发病和死亡的主要原因。旨在改善这些行为的项目的参与率通常不到10%。大量研究表明，利用预期后悔原则的彩票在激励行为改变和增加参与度方面特别有效。这些彩票不仅通过对成功参与的人提供奖励来鼓励人们进行特定的健康行为，而且 如果他们前一天参加了比赛，就会赢得奖励，这也是通过培养一种悔恨感来实现的。这些方法在研究环境中一再成功，但运行这些彩票的机制目前还不能在商业环境中使用。在这个第一阶段/第二阶段的快速通道项目中，我们将开发一个可扩展的基于网络的应用程序来运行后悔彩票，以提高健康改善计划的参与度和结果。最初的申请将集中在戒烟计划的参与上。未来的模块将包括减肥、疾病管理和服药依从性。最终，雇主、保险公司、提供商组织和产品公司将可以使用抽奖工具，以促进对广泛的健康改善计划的参与，使小型和大公司都可以轻松地使用抽奖方法。第一阶段的具体目标：我们将设计、构建和测试一个基于网络的模块化彩票软件程序，用于增加健康改善计划的参与度。我们将：[1]为管理员设计Web界面，以自定义程序参数和患者以跟踪活动；[2]构建基于云的架构以运行后悔彩票；[3]创建该平台与电子邮件和短信通信之间的连接；以及[4]通过50人30天的试运行，对照技术标准和功能测试产品。第二阶段的具体目标：我们将扩展和测试一个可扩展的商业后悔彩票，包括两个阶段的产品测试：计划的可扩展性和计划参与度的提高。我们将：[1]通过借记卡财务履行解决方案增强产品功能；[2)在100名参与者中进行为期30天的试点，以测试功能并在商业环境中优化用户体验；[3)进行为期6个月的438名参与者试点，以衡量有无抽奖的戒烟参与率。通过这个项目，我们将使雇主、保险公司、供应商组织和技术公司能够接触到行为经济学的科学，以改善数百万美国人的健康和医疗保健。

DESCRIPTION (provided by applicant): Unhealthy behaviors such as smoking, medication non-adherence, and lifestyle habits leading to obesity are major contributors to premature morbidity and mortality among the U.S. population. Participation rates in programs designed to improve these behaviors are often less than 10%. Considerable research has shown that lotteries that leverage the principle of anticipated regret are particularly effective at motivatin behavior change and increasing participation. These lotteries provide encouragement to perform a specified health behavior not only by offering a reward for successful participation, but also by fostering a sense of regret if a reward would have been won if only they had participated the day before. These approaches have been repeatedly successful in research settings, but the mechanisms to run these lotteries are not currently available in commercial settings. In this Phase I/Phase II Fast Track project, we will develop a scalable web-based application to run regret lotteries to improve participation in and outcomes from health improvement programs. The initial application will focus on smoking cessation program participation. Future modules will include weight loss, disease management, and medication adherence. Ultimately, the lottery tool will be available to employers, insurers, provider organizations, and product companies to improve participation in a wide range of health improvement programs, making the lottery approach readily accessible to small and large companies alike. Phase I Specific Aims: We will design, build, and test a web-based modular lottery software program to be used to increase health improvement program participation. We will: [1] design a web interface for administrators to customize program parameters and patients to track activity; [2] build cloud-based architecture to run a regret lottery; [3] create connectivity between this platform and email and SMS communications; and [4] test the product against technical standards and functionality with a 50-person, 30- day pilot. Phase II Specific Aims: We will expand and test a scalable, commercial regret-lottery with two stages of product testing: program scalability and improvement in program participation. We will: [1] enhance product functionality with a debit-card financial fulfillment solution; [2] run a 30-day pilot with 100 participants to test functionaities and refine user experience in commercial setting; [3] conduct a 6-month 438 participant pilot to measure smoking cessation participation rates with and without the lottery. With this project, we will bring the science of behavioral economics within reach of employers, insurers, provider organizations, and technology companies to improve health and health care for millions of Americans.