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首页> 外文期刊>JMIR mHealth and uHealth >Predictors of Engagement, Response to Follow Up, and Extent of Alcohol Reduction in Users of a Smartphone App (Drink Less): Secondary Analysis of a Factorial Randomized Controlled Trial
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Predictors of Engagement, Response to Follow Up, and Extent of Alcohol Reduction in Users of a Smartphone App (Drink Less): Secondary Analysis of a Factorial Randomized Controlled Trial

机译:智能手机应用程序的用户的参与度,对后续措施的响应以及减少酒精的程度(无酒精饮料)的预测因素:析因随机对照试验的二次分析

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Background Digital interventions for alcohol can help achieve reductions in hazardous and harmful alcohol consumption. The Drink Less app was developed using evidence and theory, and a factorial randomized controlled trial (RCT) suggested that 4 of its intervention modules may assist with drinking reduction. However, low engagement is an important barrier to effectiveness, and low response to follow up is a challenge for intervention evaluation. Research is needed to understand what factors influence users’ level of engagement, response to follow up, and extent of alcohol reduction. Objective This study aimed to investigate associations between user characteristics, engagement, response to follow up, and extent of alcohol reduction in an app-based intervention, Drink Less. Methods This study involved a secondary data analysis of a factorial RCT of the Drink Less app. Participants (N=672) were aged 18 years or older, lived in the United Kingdom, and had an Alcohol Use Disorders Identification Test score 7 (indicative of excessive drinking). Sociodemographic and drinking characteristics were assessed at baseline. Engagement was assessed in the first month of use (number of sessions, time on app, number of days used, and percentage of available screens viewed). Response to follow up and extent of alcohol reduction (change in past week consumption) were measured after 1 month. Associations were assessed using unadjusted and adjusted linear or logistic regression models. Results Age (all unstandardized regression coefficients [B] .02, all P .18, all P 1.02, all P .07). Baseline drinking characteristics were the only variables associated with the extent of alcohol reduction among those followed up (all B.49, all P .001). Conclusions Users of the alcohol reduction app, Drink Less, who were older and had post-16 educational qualifications engaged more and were more likely to respond at 1-month follow up. Higher baseline alcohol consumption predicted a greater extent of alcohol reduction among those followed up but did not predict engagement or response to follow up. Engagement was associated with response to follow up but was not associated with the extent of alcohol reduction, which suggests that the Drink Less app does not have a dose-response effect.
机译:背景技术酒精的数字干预可以帮助减少有害和有害的酒精消耗。 “少喝酒”应用程序是使用证据和理论开发的,一项析因随机对照试验(RCT)建议其4种干预模块可能有助于减少饮酒。但是,参与度低是影响有效性的重要障碍,而对随访的低响应则是干预评估的挑战。需要进行研究以了解哪些因素会影响用户的参与程度,对跟进的反应以及减少酒精的程度。目的这项研究旨在调查基于应用程序的干预措施“少喝酒”中用户特征,参与度,对随访的反应以及减少酒精摄入量之间的关联。方法这项研究包括对Drinkless应用程序的阶乘RCT的辅助数据分析。参与者(N = 672)年龄在18岁以上,居住在英国,并且饮酒障碍识别测试得分> 7(表示过量饮酒)。在基线时评估了社会人口统计学和饮酒特征。在使用的第一个月就评估了参与度(会话次数,应用上的时间,使用的天数以及可浏览的可用屏幕的百分比)。 1个月后测量对随访的反应和减少酒精的程度(过去一周的摄入量变化)。使用未经调整和调整的线性或逻辑回归模型评估关联。结果年龄(所有非标准化回归系数[B]> .02,所有P .18,所有P 1.02,所有P .07)。基线饮酒特征是随访者中唯一与酒精减少程度相关的变量(所有B> .49,所有P <.001)。结论减少酒精的应用程序的用户Drinkless年龄较大,具有16岁以下学历,参与度更高,并且在1个月的随访中更有可能做出响应。基线酒精摄入量较高预示随访者中酒精减少的程度更大,但未预测随访的参与或反应。参与度与随访反应有关,但与酒精减少的程度无关,这表明“少喝”应用程序没有剂量反应效应。

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