Daily personalized drinking feedback delivered via mobile phone

通过手机提供每日个性化饮酒反馈

• 批准号: 10676224
• 负责人: Jennifer Elizabeth Merrill
• 金额: $ 22.93万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-05 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10676224
• 关键词: Address; Age; Alcohol consumption; Alcohols; Bacterial Artificial Chromosomes; Behavior; Behavioral; Blood alcohol level measurement; Cellular Phone; Conscious; Data; Dose; Effectiveness; Enrollment; Evaluation; Event; Exclusion; Feedback; Frequencies; Goals; Harm Reduction; Heavy Drinking; Incentives; Individual; Injury; Intake; Intervention; Interview; Memory Loss; Modification; Morbidity - disease rate; Motivation; Outcome; Overdose; Participant; Perception; Phase; Protocols documentation; Public Health; Randomized; Recommendation; Reporting; Research; Rewards; Risk; Self Determination; Surveys; Testing; Theoretical model; Time; Update; Work; acceptability and feasibility; age group; alcohol intervention; alcohol misuse; alcohol related consequences; alcohol use disorder; behavior change; college; data quality; design; drinking; efficacious intervention; efficacy evaluation; experience; financial incentive; follow up assessment; follow-up; hazardous drinking; heavy drinking young adult; high risk drinking; improved; innovation; intervention effect; intervention participants; intervention refinement; mHealth; mobile computing; mortality; normative feedback; novel; payment; peer; pilot test; recruit; reduced alcohol use; response; retention rate; severe injury; sexual assault; smartphone based assessment; theories; therapy development; university student; young adult

PROJECT SUMMARY Many young adults engage in heavy drinking and in turn experience negative consequences (e.g., severe injury, overdose). While personalized feedback interventions (PFIs) show promise among college students, non- college young adults are often excluded from research, effect sizes tend to be small to medium, gains are not usually maintained, and improvements in engagement and potential for reach are needed. Mobile technology can be harnessed to deliver intervention, but many mHealth platforms are not theoretically based or rigorously developed and tested. Preliminary work suggests that the morning after drinking may represent a “teachable moment” not yet exploited for harm reduction. We propose to examine mornings after drinking as an optimal time to provide repeated, personalized feedback with the goal of reducing hazardous drinking. Specifically, we will further develop and pilot test a novel theory-based PFI for heavy drinking young adults. Innovations include mobile delivery of feedback in multiple doses that occur close in time to drinking; choice of feedback; feedback informed by daily, mobile assessment of recent key drinking events; and use of personalized and dynamic goal setting to guide behavior change. In line with principles of the transtheoretical model (e.g., developing discrepancy), intervention strategies include personalized feedback (e.g., prior night blood alcohol concentration, consequences) contrasted with both drinking goals set at baseline and corrective normative feedback (e.g., how last night’s drinking compares to peers). We have promising preliminary data on this intervention; however, prior pilot participants included only college students. Further, they were paid for compliance with the daily surveys that informed their feedback, but engagement in the absence of monetary reward is essential to scalability. In the proposed study, we will incorporate end-user feedback on ways to increase engagement, and manipulate payment in order to determine engagement with a more scalable (i.e., unpaid) daily PFI. First, a refined version of our mobile daily PFI will be delivered in an open trial to 20 heavy drinking young adults (50% non-college). After four weeks of daily intervention, participants will return for individual interviews to inform further refinement of the intervention content. Finally, 132 participants (50% non-college) will be randomized to one of three groups: PFI with monetary incentives for daily surveys, PFI without monetary incentives, or survey assessment only. We will examine recruitment rates, retention rates, confirmation of intervention content delivery/intake, response rates to daily surveys, data quality, and ratings of intervention value. We will test whether these indicators of engagement differ between those who do and do not receive monetary incentives for daily surveys. Further, baseline, post-test, and 3-month follow-up assessments will allow us to estimate effect sizes for PFI vs control differences in drinks per week, frequency of heavy drinking, and negative consequences. The results of the proposed research will result in a novel and scalable intervention for alcohol misuse among young adults, with potential to have an important impact on the public health problem of high-risk drinking.

项目摘要 许多年轻人进行大量饮酒，进而遭受负面后果（例如，严重伤害， 过量）。虽然个性化的反馈干预措施（PFI）在大学生中表现出希望 大学年轻人经常被排除在研究之外，效果大小往往是中小型的，收益不是 通常需要维护，并且需要改善参与度和潜力。移动技术 可以利用进行干预，但是许多MHealth平台并不是理论上的或严格的 开发和测试。初步工作表明，饮酒后的早晨可能代表“可教的 时刻”尚未利用减少伤害。我们建议在饮酒后检查早晨 是时候提供重复的个性化反馈，目的是减少危险饮酒。具体来说，我们 将进一步开发和试点测试一种基于理论的新型PFI，用于大量饮用的年轻人。创新包括 多种剂量的移动反馈交付，饮酒的时间紧密选择反馈；反馈 每日移动评估最近的关键饮酒活动；并使用个性化和动态的目标 设置指导行为改变。符合跨理论模型的原则（例如，开发 差异），干预策略包括个性化的反馈（例如，先前的夜间血液酒精浓度， 后果）与基线设定的饮酒目标和正确反馈相比（例如，如何 昨晚的饮酒与同龄人相比）。我们已承诺就此干预措施提供初步数据；但是，先验 飞行员参与者仅包括大学生。此外，他们获得了遵守每日调查的报酬 这为他们的反馈提供了信息，但是在没有货币奖励的情况下参与对于可伸缩性至关重要。在 拟议的研究，我们将纳入最终用户反馈，以提高参与度和操纵方式 付款以确定每日PFI的可扩展性（即无薪）的参与。首先，精制版本 我们的《每日移动PFI》将在开放式试验中向20名饮用的年轻人（50％非大学）进行。 经过四个星期的日常干预，参与者将返回个人面试，以告知进一步的完善 干预内容。最后，将有132名参与者（50％非大学）随机分为三组之一： PFI具有每日调查的货币激励措施，无金钱激励措施或调查评估的PFI。我们 将检查招聘率，保留率，干预内容交付/摄入量的确认，响应 每日调查，数据质量和干预价值评级的速率。我们将测试这些指标是否 订婚与没有收到日常调查的货币激励措施的人不同。此外， 基线，测试后和3个月的随访评估将使我们能够估算PFI与控制的效果大小 每周饮料的差异，大量饮酒的频率和负面后果。结果 拟议的研究将导致新颖且可扩展的干预措施，以滥用年轻人， 可能对高风险饮酒的公共卫生问题产生重要影响。