A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol

IF 2 3区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Lara N. Coughlin , Maya Campbell , Tiffany Wheeler , Chavez Rodriguez , Autumn Rae Florimbio , Susobhan Ghosh , Yongyi Guo , Pei-Yao Hung , Mark W. Newman , Huijie Pan , Kelly W. Zhang , Lauren Zimmermann , Erin E. Bonar , Maureen Walton , Susan Murphy , Inbal Nahum-Shani
{"title":"A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol","authors":"Lara N. Coughlin ,&nbsp;Maya Campbell ,&nbsp;Tiffany Wheeler ,&nbsp;Chavez Rodriguez ,&nbsp;Autumn Rae Florimbio ,&nbsp;Susobhan Ghosh ,&nbsp;Yongyi Guo ,&nbsp;Pei-Yao Hung ,&nbsp;Mark W. Newman ,&nbsp;Huijie Pan ,&nbsp;Kelly W. Zhang ,&nbsp;Lauren Zimmermann ,&nbsp;Erin E. Bonar ,&nbsp;Maureen Walton ,&nbsp;Susan Murphy ,&nbsp;Inbal Nahum-Shani","doi":"10.1016/j.cct.2024.107667","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Emerging adult (EA) cannabis use is associated with increased risk for health consequences. Just-in-time adaptive interventions (JITAIs) provide potential for preventing the escalation and consequences of cannabis use. Powered by mobile devices, JITAIs use decision rules that take the person's state and context as input, and output a recommended intervention (e.g., alternative activities, coping strategies). The mHealth literature on JITAIs is nascent, with additional research needed to identify what intervention content to deliver when and to whom.</p></div><div><h3>Methods</h3><p>Herein we describe the protocol for a pilot study testing the feasibility and acceptability of a micro-randomized trial for optimizing MiWaves mobile intervention app for EAs (ages 18–25; target <em>N</em> = 120) with regular cannabis use (≥3 times per week). Micro-randomizations will be determined by a reinforcement learning algorithm that continually learns and improves the decision rules as participants experience the intervention. MiWaves will prompt participants to complete an in-app twice-daily survey over 30 days and participants will be micro-randomized twice daily to either: no message or a message [1 of 6 types varying in length (short, long) and interaction type (acknowledge message, acknowledge message + click additional resources, acknowledge message + fill in the blank/select an option)]. Participants recruited via social media will download the MiWaves app, and complete screening, baseline, weekly, post-intervention, and 2-month follow-up assessments. Primary outcomes include feasibility and acceptability, with additional exploratory behavioral outcomes.</p></div><div><h3>Conclusion</h3><p>This study represents a critical first step in developing an effective mHealth intervention for reducing cannabis use and associated harms in EAs.</p></div>","PeriodicalId":10636,"journal":{"name":"Contemporary clinical trials","volume":"145 ","pages":"Article 107667"},"PeriodicalIF":2.0000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary clinical trials","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1551714424002507","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Emerging adult (EA) cannabis use is associated with increased risk for health consequences. Just-in-time adaptive interventions (JITAIs) provide potential for preventing the escalation and consequences of cannabis use. Powered by mobile devices, JITAIs use decision rules that take the person's state and context as input, and output a recommended intervention (e.g., alternative activities, coping strategies). The mHealth literature on JITAIs is nascent, with additional research needed to identify what intervention content to deliver when and to whom.

Methods

Herein we describe the protocol for a pilot study testing the feasibility and acceptability of a micro-randomized trial for optimizing MiWaves mobile intervention app for EAs (ages 18–25; target N = 120) with regular cannabis use (≥3 times per week). Micro-randomizations will be determined by a reinforcement learning algorithm that continually learns and improves the decision rules as participants experience the intervention. MiWaves will prompt participants to complete an in-app twice-daily survey over 30 days and participants will be micro-randomized twice daily to either: no message or a message [1 of 6 types varying in length (short, long) and interaction type (acknowledge message, acknowledge message + click additional resources, acknowledge message + fill in the blank/select an option)]. Participants recruited via social media will download the MiWaves app, and complete screening, baseline, weekly, post-intervention, and 2-month follow-up assessments. Primary outcomes include feasibility and acceptability, with additional exploratory behavioral outcomes.

Conclusion

This study represents a critical first step in developing an effective mHealth intervention for reducing cannabis use and associated harms in EAs.

针对经常吸食大麻的新兴成年人的移动健康干预:微型随机试点试验设计方案。
背景:新成人(EA)吸食大麻与健康后果风险增加有关。及时适应性干预(JITAIs)为防止大麻使用的升级和后果提供了可能。在移动设备的支持下,JITAIs 使用决策规则,将人的状态和背景作为输入,并输出推荐的干预措施(如替代活动、应对策略)。有关 JITAIs 的移动医疗文献刚刚起步,还需要更多的研究来确定何时、向谁提供什么样的干预内容。方法:我们在此介绍一项试点研究的方案,该方案测试了针对经常使用大麻(每周≥3 次)的 EAs(18-25 岁;目标人数 = 120)优化 MiWaves 移动干预应用程序的微型随机试验的可行性和可接受性。微随机将由强化学习算法决定,该算法在参与者体验干预过程中不断学习和改进决策规则。MiWaves 将提示参与者在 30 天内完成一项每天两次的应用程序内调查,参与者将每天两次被微随机分配到:无消息或消息[6 种类型中的一种,长度(短、长)和互动类型(评价消息、评价消息 + 点击其他资源、评价消息 + 填空/选择选项)各不相同]。通过社交媒体招募的参与者将下载 MiWaves 应用程序,并完成筛选、基线、每周、干预后和 2 个月的跟踪评估。主要结果包括可行性和可接受性,以及其他探索性行为结果:这项研究为开发有效的移动医疗干预措施以减少 EAs 中的大麻使用和相关危害迈出了关键的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.70
自引率
4.50%
发文量
281
审稿时长
44 days
期刊介绍: Contemporary Clinical Trials is an international peer reviewed journal that publishes manuscripts pertaining to all aspects of clinical trials, including, but not limited to, design, conduct, analysis, regulation and ethics. Manuscripts submitted should appeal to a readership drawn from disciplines including medicine, biostatistics, epidemiology, computer science, management science, behavioural science, pharmaceutical science, and bioethics. Full-length papers and short communications not exceeding 1,500 words, as well as systemic reviews of clinical trials and methodologies will be published. Perspectives/commentaries on current issues and the impact of clinical trials on the practice of medicine and health policy are also welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信