• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

考察基于激励的移动健康应用程序的响应性:纵向观察性研究。

Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study.

机构信息

Smith School of Business, Queen's University, Kingston, ON, Canada.

Carrot Insights Inc, Toronto, ON, Canada.

出版信息

J Med Internet Res. 2020 Aug 10;22(8):e16797. doi: 10.2196/16797.

DOI:10.2196/16797
PMID:32773371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7445608/
Abstract

BACKGROUND

The Carrot Rewards app was developed as part of a public-private partnership to reward Canadians with loyalty points for downloading the app, referring friends, completing educational health quizzes, and health-related behaviors with long-term objectives of increasing health knowledge and encouraging healthy behaviors. During the first 3 months after program rollout in British Columbia, a number of program design elements were adjusted, creating observed differences between groups of users with respect to the potential impact of program features on user engagement levels.

OBJECTIVE

This study examines the impact of reducing reward size over time and explored the influence of other program features such as quiz timing, health intervention content, and type of reward program on user engagement with a mobile health (mHealth) app.

METHODS

Participants in this longitudinal, nonexperimental observational study included British Columbia citizens who downloaded the app between March and July 2016. A regression methodology was used to examine the impact of changes to several program design features on quiz offer acceptance and engagement with this mHealth app.

RESULTS

Our results, based on the longitudinal app use of 54,917 users (mean age 35, SD 13.2 years; 65.03% [35,647/54,917] female), indicated that the key drivers of the likelihood of continued user engagement, in order of greatest to least impact, were (1) type of rewards earned by users (eg, movies [+355%; P<.001], air travel [+210%; P<.001], and grocery [+140%; P<.001] relative to gas), (2) time delay between early offers (-64%; P<.001), (3) the content of the health intervention (eg, healthy eating [-10%; P<.001] vs exercise [+20%, P<.001] relative to health risk assessments), and (4) changes in the number of points offered. Our results demonstrate that reducing the number of points associated with a particular quiz by 10% only led to a 1% decrease in the likelihood of offer response (P<.001) and that each of the other design features had larger impacts on participant retention than did changes in the number of points.

CONCLUSIONS

The results of this study demonstrate that this program, built around the principles of behavioral economics in the form of the ongoing awarding of a small number of reward points instantly following the completion of health interventions, was able to drive significantly higher engagement levels than those demonstrated in previous literature exploring the intersection of mHealth apps and financial incentives. Previous studies have demonstrated the presence of incentive matters to user engagement; however, our results indicate that the number of points offered for these reward point-based health interventions is less important than other program design features such as the type of reward points being offered, the timing of intervention and reward offers, and the content of the health interventions in driving continued engagement by users.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1095/7445608/efcb8be14c66/jmir_v22i8e16797_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1095/7445608/efcb8be14c66/jmir_v22i8e16797_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1095/7445608/efcb8be14c66/jmir_v22i8e16797_fig1.jpg
摘要

背景

胡萝卜奖励应用程序是作为公私合作伙伴关系的一部分开发的,旨在通过为下载应用程序、推荐朋友、完成健康教育测验以及与健康相关的行为的加拿大人提供忠诚度积分,从而实现长期目标,即提高健康知识和鼓励健康行为。在不列颠哥伦比亚省推出该计划的头 3 个月内,对一些计划设计要素进行了调整,这使得不同用户群体之间在程序功能对用户参与度的潜在影响方面存在明显差异。

目的

本研究考察了随着时间的推移减少奖励规模的影响,并探讨了其他计划功能(如测验时间安排、健康干预内容和奖励计划类型)对移动健康(mHealth)应用程序用户参与度的影响。

方法

本纵向非实验性观察研究的参与者包括 2016 年 3 月至 7 月间下载该应用程序的不列颠哥伦比亚省公民。采用回归方法来检验几项计划设计特征的变化对测验参与度和对这款 mHealth 应用程序的使用情况的影响。

结果

我们的研究结果基于 54917 名用户(平均年龄 35 岁,标准差 13.2 岁;65.03%[35,647/54917]为女性)的纵向应用程序使用情况,结果表明,继续用户参与的关键驱动因素(按影响程度降序排列)为:(1)用户获得的奖励类型(例如,电影[+355%;P<.001]、航空旅行[+210%;P<.001]和杂货[+140%;P<.001],与汽油相比);(2)早期优惠之间的时间延迟(-64%;P<.001);(3)健康干预内容(例如,健康饮食[-10%;P<.001]与运动[+20%,P<.001],与健康风险评估相比);以及(4)提供的积分数量的变化。我们的研究结果表明,将特定测验的积分数量减少 10%仅导致参与率降低 1%(P<.001),并且每个其他设计特征对参与者保留的影响都大于积分数量的变化。

结论

本研究结果表明,该计划围绕行为经济学的原则构建,即通过在完成健康干预后立即给予少量的积分,以持续给予奖励,从而能够显著提高参与度,超过了之前探索 mHealth 应用程序和财务激励交叉点的文献中所展示的水平。之前的研究已经证明了激励对用户参与度的重要性;然而,我们的研究结果表明,这些基于奖励积分的健康干预计划提供的积分数量不如其他计划设计特征重要,例如所提供的奖励积分类型、干预和奖励的时间安排以及健康干预内容在推动用户持续参与方面的重要性。

相似文献

1
Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study.考察基于激励的移动健康应用程序的响应性:纵向观察性研究。
J Med Internet Res. 2020 Aug 10;22(8):e16797. doi: 10.2196/16797.
2
Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App.基于激励机制的移动健康应用的采用情况:胡萝卜奖励应用的过程评估
JMIR Mhealth Uhealth. 2017 May 30;5(5):e70. doi: 10.2196/mhealth.7323.
3
Evaluating the Carrot Rewards App, a Population-Level Incentive-Based Intervention Promoting Step Counts Across Two Canadian Provinces: Quasi-Experimental Study.评估胡萝卜奖励应用程序,一项基于激励措施的人群层面干预措施,在加拿大两个省份推广步数:准实验研究。
JMIR Mhealth Uhealth. 2018 Sep 20;6(9):e178. doi: 10.2196/mhealth.9912.
4
Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: a 24-week matched case control study.在 Carrot Rewards 运动应用程序中加入基于团队的财务激励措施可以增加人群的日常步数:一项为期 24 周的匹配病例对照研究。
Int J Behav Nutr Phys Act. 2020 Nov 19;17(1):139. doi: 10.1186/s12966-020-01043-1.
5
The Impact of User Engagement With Exposure Components on Posttraumatic Stress Symptoms in an mHealth Mobile App: Secondary Analysis of a Randomized Controlled Trial.用户与暴露成分的互动对移动健康应用程序中创伤后应激症状的影响:一项随机对照试验的二次分析。
JMIR Mhealth Uhealth. 2024 Jul 18;12:e49393. doi: 10.2196/49393.
6
Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset.考察现实世界中用户对自我引导式电子健康干预措施的参与度预测因素:使用新数据集对移动应用程序和网站进行分析。
J Med Internet Res. 2018 Dec 14;20(12):e11491. doi: 10.2196/11491.
7
Tracked Physical Activity Levels Before and After a Change in Incentive Strategy Among UK Adults Using a Rewards App: Retrospective Quasi-Experimental Study.使用奖励应用程序的英国成年人激励策略改变前后的追踪身体活动水平:回顾性准实验研究
JMIR Form Res. 2024 Dec 10;8:e50041. doi: 10.2196/50041.
8
Mobile App-Delivered Motivational Interviewing for Women on Eating Disorder Treatment Waitlists (MI-Coach: ED): Protocol for an App Development and Pilot Evaluation.针对处于饮食失调治疗等候名单上的女性的移动应用程序提供的动机性访谈(MI-Coach:ED):应用程序开发和试点评估方案
JMIR Res Protoc. 2025 Apr 10;14:e66298. doi: 10.2196/66298.
9
The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study.定期电子邮件提示对行为改变移动健康应用程序参与度的影响:纵向研究。
JMIR Mhealth Uhealth. 2023 May 11;11:e43033. doi: 10.2196/43033.
10
Effectiveness of an mHealth App That Uses Financial Incentives and Gamification to Promote Health Behavior Change in Adolescents and Caregivers: Protocol for a Clinic-Based Randomized Controlled Trial.利用移动健康应用程序中的经济激励和游戏化促进青少年和照顾者健康行为改变的效果:一项基于诊所的随机对照试验方案。
JMIR Res Protoc. 2024 Sep 10;13:e63505. doi: 10.2196/63505.

引用本文的文献

1
Boosting Physical Activity Among Individuals With Low Engagement Through Double-Point Incentives in a Community-Based mHealth Intervention: Retrospective Observational Study.在基于社区的移动健康干预中通过双点激励提高低参与度个体的身体活动水平:回顾性观察研究
JMIR Mhealth Uhealth. 2025 Aug 21;13:e66227. doi: 10.2196/66227.
2
Enhancing Mobile App Adoption for Type 2 Diabetes Mellitus Medication Adherence and Self-Management: A Grounded Theory Study.提高2型糖尿病药物依从性和自我管理的移动应用采用率:一项扎根理论研究。
J Diabetes Sci Technol. 2025 Jun 21:19322968251349851. doi: 10.1177/19322968251349851.
3
Tracked Physical Activity Levels Before and After a Change in Incentive Strategy Among UK Adults Using a Rewards App: Retrospective Quasi-Experimental Study.

本文引用的文献

1
Financial incentives for physical activity in adults: systematic review and meta-analysis.成年人身体活动的经济激励措施:系统评价和荟萃分析。
Br J Sports Med. 2020 Nov;54(21):1259-1268. doi: 10.1136/bjsports-2019-100633. Epub 2019 May 15.
2
Mobile Health Applications in Weight Management: A Systematic Literature Review.移动健康应用程序在体重管理中的应用:系统文献回顾。
Am J Prev Med. 2019 Jun;56(6):894-903. doi: 10.1016/j.amepre.2018.12.005. Epub 2019 Apr 17.
3
Examining the use of loyalty point incentives to encourage health and fitness centre participation.
使用奖励应用程序的英国成年人激励策略改变前后的追踪身体活动水平:回顾性准实验研究
JMIR Form Res. 2024 Dec 10;8:e50041. doi: 10.2196/50041.
4
Enhancing the implementation and integration of mHealth interventions in resource-limited settings: a scoping review.在资源有限的环境中增强移动医疗干预措施的实施和整合:范围综述。
Implement Sci. 2024 Oct 14;19(1):72. doi: 10.1186/s13012-024-01400-9.
5
Enhancing the Implementation and Integration of mHealth Interventions in Resource-Limited Settings: A Scoping Review.加强资源有限环境下移动健康干预措施的实施与整合:一项范围综述
Res Sq. 2024 Jul 19:rs.3.rs-4757157. doi: 10.21203/rs.3.rs-4757157/v1.
6
Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries.揭示消费者对饮食与身体活动联合应用程序共创功能的偏好和意向:4 个欧洲国家的横断面研究。
JMIR Hum Factors. 2023 Dec 11;10:e44993. doi: 10.2196/44993.
7
Reduction of Financial Health Incentives and Changes in Physical Activity.减少金融健康激励措施与体力活动的变化。
JAMA Netw Open. 2023 Nov 1;6(11):e2342663. doi: 10.1001/jamanetworkopen.2023.42663.
8
Engagement With mHealth COVID-19 Digital Biomarker Measurements in a Longitudinal Cohort Study: Mixed Methods Evaluation.在一项纵向队列研究中使用移动医疗 COVID-19 数字生物标志物测量结果的参与情况:混合方法评估。
J Med Internet Res. 2023 Jan 13;25:e40602. doi: 10.2196/40602.
9
Understanding the user: Patients' perception, needs, and concerns of health apps for chronic constipation.了解用户:慢性便秘患者对健康应用程序的认知、需求和担忧。
Digit Health. 2022 May 29;8:20552076221104673. doi: 10.1177/20552076221104673. eCollection 2022 Jan-Dec.
10
Factors impacting the use of the NZ COVID Tracer application in New Zealand".影响新西兰新冠病毒追踪应用程序在新西兰使用的因素
Smart Health (Amst). 2022 Jun;24:100278. doi: 10.1016/j.smhl.2022.100278. Epub 2022 Feb 25.
研究使用忠诚度积分激励措施来鼓励人们参与健康和健身中心活动的情况。
Prev Med Rep. 2019 Feb 13;14:100831. doi: 10.1016/j.pmedr.2019.100831. eCollection 2019 Jun.
4
The history and future of digital health in the field of behavioral medicine.行为医学领域中的数字健康的历史和未来。
J Behav Med. 2019 Feb;42(1):67-83. doi: 10.1007/s10865-018-9966-z. Epub 2019 Mar 1.
5
What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis.智能手机在促进身体活动方面的作用是什么?系统评价和荟萃分析。
Int J Public Health. 2019 Jun;64(5):679-690. doi: 10.1007/s00038-019-01210-7. Epub 2019 Feb 13.
6
Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial.探究一款促进身体活动的智能手机应用程序的干预组成部分并探索接受状态:一项微随机试验方案
JMIR Res Protoc. 2019 Jan 31;8(1):e11540. doi: 10.2196/11540.
7
A Cluster-Randomized Trial on Small Incentives to Promote Physical Activity.一项关于小激励促进身体活动的整群随机试验。
Am J Prev Med. 2019 Feb;56(2):e45-e54. doi: 10.1016/j.amepre.2018.09.018. Epub 2018 Dec 13.
8
Evaluating the Carrot Rewards App, a Population-Level Incentive-Based Intervention Promoting Step Counts Across Two Canadian Provinces: Quasi-Experimental Study.评估胡萝卜奖励应用程序,一项基于激励措施的人群层面干预措施,在加拿大两个省份推广步数:准实验研究。
JMIR Mhealth Uhealth. 2018 Sep 20;6(9):e178. doi: 10.2196/mhealth.9912.
9
Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review.针对镰状细胞病儿童、青少年和成人的以患者为中心的电子健康干预措施:系统评价
J Med Internet Res. 2018 Jul 19;20(7):e10940. doi: 10.2196/10940.
10
Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review.评估体育活动应用程序和可穿戴设备的影响:跨学科综述。
JMIR Mhealth Uhealth. 2018 Mar 23;6(3):e58. doi: 10.2196/mhealth.9054.