应用程序用户减少酒精消费的数字行为改变干预参与量表的心理测量特性评估卡塔尔世界杯8强波胆分析评价研究%A Perski,Olga %A Lumsden,Jim %A Garnett,Claire %A Blandford,Ann %A West,Robert %A Michie,Susan %+伦敦大学学院行为科学与健康系,伦敦托灵顿广场1-19号,英国,WC1E 7HB, 44 20 7679 1258,olga.perski@ucl.ac.uk %K参与%K数字行为改变干预%K移动健康%K自我报告量表%K智能手机应用%K过度饮酒%D 2019 %7 20.11.2019 %9背景:参与数字行为改变干预(dbci)的水平和类型可能会影响其有效性,但缺乏有效的参与自我报告措施。DBCI参与量表旨在评估行为(即使用的数量、深度)和体验(即注意力、兴趣、享受)维度的参与。目的:我们旨在评估DBCI参与量表在减少酒精消费的智能手机应用程序用户中的心理测量特性。方法:参与者(N=147)是通过在线研究平台招募的英国成年酗酒者。参与者下载了“少喝”应用程序,并在第一次登录后立即完成秤,以换取经济奖励。标准变量包括客观记录的使用量、使用深度和随后的登录。五种类型的效度(即结构,标准,预测,增量,发散)在探索性因素,相关和回归分析中进行了检验。计算Cronbach alpha来评估量表的内部信度。 Covariates included motivation to reduce alcohol consumption. Results: Responses on the DBCI Engagement Scale could be characterized in terms of two largely independent subscales related to experience and behavior. The experiential and behavioral subscales showed high (α=.78) and moderate (α=.45) internal reliability, respectively. Total scale scores predicted future behavioral engagement (ie, subsequent login) with and without adjusting for users’ motivation to reduce alcohol consumption (adjusted odds ratio [ORadj]=1.14; 95% CI 1.03-1.27; P=.01), which was driven by the experiential (ORadj=1.19; 95% CI 1.05-1.34; P=.006) but not the behavioral subscale. Conclusions: The DBCI Engagement Scale assesses behavioral and experiential aspects of engagement. The behavioral subscale may not be a valid indicator of behavioral engagement. The experiential subscale can predict subsequent behavioral engagement with an app for reducing alcohol consumption. Further refinements and validation of the scale in larger samples and across different DBCIs are needed. %M 31746771 %R 10.2196/16197 %U //www.mybigtv.com/2019/11/e16197/ %U https://doi.org/10.2196/16197 %U http://www.ncbi.nlm.nih.gov/pubmed/31746771
Baidu
map