A self-report measure of engagement with digital behavior change interventions (DBCIs): development and psychometric evaluation of the "DBCI Engagement Scale".

A self-report measure of engagement with digital behavior change interventions (DBCIs): development and psychometric evaluation of the "DBCI Engagement Scale".
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DOI:
10.1093/tbm/ibz039
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发表时间:
2020-02-03
影响因子:
3.6
通讯作者:
Michie S
Michie S
中科院分区:
医学3区
文献类型:
--
作者:
Perski O;Blandford A;Garnett C;Crane D;West R;Michie S

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在一项初步评估研究中,一种新的自我报告量表显示了良好的心理测量学特性,该量表同时涵盖了数字参与的行为和经验两个维度。参与数字行为改变干预(DBCI)是一个潜在的重要的有效性中介;然而,我们缺乏有效的参与测量。这项研究描述了(A)自我报告量表的发展,该量表涵盖了所谓的参与的行为和经验方面,以及(B)在现实世界环境中对其有效性的评估。采用演绎的方法来生成项目。样本包括英国酗酒的成年人,他们下载了免费提供的饮酒减少应用程序,目的是减少饮酒量,并在第一次登录后立即完成了量表。通过探索性因素分析、相关分析以及将未来14天内的后续登录次数回归到量表总分上,检验了五种类型的效度(即结构、标准、预测、递增、发散)。计算克朗巴赫的α以评估其内部可靠性。一个由10个项目组成的量表被产生,评估使用的数量和深度,兴趣,享受和关注。在5,460名符合条件的用户中,只有203名(3.7%)用户完成了该量表。保留了7个条目,发现该量表具有单因素和内部信度(α=0.77)。未建立发散效度和效标效度。量表总分与后续登录次数没有显著关联(B=0.02;95%CI=−0.01至0.05;p=0.14)。与DBCI接触的行为和经验指标可能构成单一维度,但DBCI中嵌入的参与度调查的回复率较低,可能使其在现实世界环境中使用不切实际。
A new self-report scale that captures both the behavioural and experiential dimensions of digital engagement demonstrated promising psychometric properties in an initial evaluation study. Engagement with digital behavior change interventions (DBCIs) is a potentially important mediator of effectiveness; however, we lack validated measures of engagement. This study describes (a) the development of a self-report scale that captures the purported behavioral and experiential facets of engagement and (b) the evaluation of its validity in a real-world setting. A deductive approach to item generation was taken. The sample consisted of adults in the UK who drink excessively, downloaded the freely available Drink Less app with the intention to reduce alcohol consumption, and completed the scale immediately after their first login. Five types of validity (i.e., construct, criterion, predictive, incremental, divergent) were examined using exploratory factor analysis, correlational analyses, and through regressing the number of subsequent logins in the next 14 days onto total scale scores. Cronbach’s α was calculated to assess internal reliability. A 10-item scale assessing amount and depth of use, interest, enjoyment, and attention was generated. Of 5,460 eligible users, only 203 (3.7%) users completed the scale. Seven items were retained, and the scale was found to be unifactorial and internally reliable (α = 0.77). Divergent and criterion validity were not established. Total scale scores were not significantly associated with the number of subsequent logins (B = 0.02; 95% CI = −0.01 to 0.05; p = .14). Behavioral and experiential indicators of engagement with DBCIs may constitute a single dimension, but low response rates to engagement surveys embedded in DBCIs may make their use impracticable in real-world settings.
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