Kelders Saskia M, Bohlmeijer Ernst T, Van Gemert-Pijnen Julia Ewc
Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands.
J Med Internet Res. 2013 Aug 20;15(8):e172. doi: 10.2196/jmir.2258.
Although Web-based interventions have been shown to be effective, they are not widely implemented in regular care. Nonadherence (ie, participants not following the intervention protocol) is an issue. By studying the way Web-based interventions are used and whether there are differences between adherers (ie, participants that started all 9 lessons) and nonadherers, more insight can be gained into the process of adherence.
The aims of this study were to (1) describe the characteristics of participants and investigate their relationship with adherence, (2) investigate the utilization of the different features of the intervention and possible differences between adherers and nonadherers, and (3) identify what use patterns emerge and whether there are differences between adherers and nonadherers.
Data were used from 206 participants that used the Web-based intervention Living to the full, a Web-based intervention for the prevention of depression employing both a fully automated and human-supported format. Demographic and baseline characteristics of participants were collected by using an online survey. Log data were collected within the Web-based intervention itself. Both quantitative and qualitative analyses were performed.
In all, 118 participants fully adhered to the intervention (ie, started all 9 lessons). Participants with an ethnicity other than Dutch were more often adherers (χ²₁=5.5, P=.02), and nonadherers used the Internet more hours per day on average (F₁,₂₀₃=3.918, P=.049). A logistic regression showed that being female (OR 2.02, 95% CI 1.01-4.04; P=.046) and having a higher need for cognition (OR 1.02; 95% CI 1.00-1.05; P=.02) increased the odds of adhering to the intervention. Overall, participants logged in an average of 4 times per lesson, but adherers logged in significantly more times per lesson than nonadherers (F₁,₂₀₄=20.710; P<.001). For use patterns, we saw that early nonadherers seemed to use fewer sessions and spend less time than late nonadherers and adherers, and fewer sessions to complete the lesson than adherers. Furthermore, late nonadherers seemed to have a shorter total duration of sessions than adherers.
By using log data combined with baseline characteristics of participants, we extracted valuable lessons for redesign of this intervention and the design of Web-based interventions in general. First, although characteristics of respondents can significantly predict adherence, their predictive value is small. Second, it is important to design Web-based interventions to foster adherence and usage of all features in an intervention.
Dutch Trial Register Number: NTR3007; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=3007 (Archived by WebCite at http://www.webcitation.org/6ILhI3rd8).
尽管基于网络的干预措施已被证明是有效的,但它们在常规护理中并未得到广泛应用。不依从(即参与者未遵循干预方案)是一个问题。通过研究基于网络的干预措施的使用方式以及依从者(即完成所有9节课程的参与者)和不依从者之间是否存在差异,可以更深入地了解依从过程。
本研究的目的是:(1)描述参与者的特征并调查其与依从性的关系;(2)调查干预措施不同功能的使用情况以及依从者和不依从者之间可能存在的差异;(3)确定出现了哪些使用模式以及依从者和不依从者之间是否存在差异。
使用了206名使用基于网络的干预措施“充分生活”的参与者的数据,这是一种用于预防抑郁症的基于网络的干预措施,采用全自动和人工支持相结合的形式。通过在线调查收集参与者的人口统计学和基线特征。在基于网络的干预措施本身中收集日志数据。进行了定量和定性分析。
共有118名参与者完全依从干预措施(即开始了所有9节课程)。非荷兰裔参与者更常为依从者(χ²₁ = 5.5,P = 0.02),不依从者平均每天上网时间更多(F₁,₂₀₃ = 3.918,P = 0.049)。逻辑回归显示,女性(比值比2.02,95%置信区间1.01 - 4.04;P = 0.046)和认知需求较高(比值比1.02;95%置信区间1.00 - 1.05;P = 0.02)会增加依从干预措施的几率。总体而言,参与者每节课平均登录4次,但依从者每节课的登录次数明显多于不依从者(F₁,₂₀₄ = 20.710;P < 0.001)。对于使用模式,我们发现早期不依从者似乎比晚期不依从者和依从者使用的课程节数更少、花费的时间更少,并且完成课程所需的节数也比依从者少。此外,晚期不依从者的课程总时长似乎比依从者更短。
通过将日志数据与参与者的基线特征相结合,我们为重新设计该干预措施以及一般的基于网络的干预措施提取了有价值的经验教训。首先,尽管受访者的特征可以显著预测依从性,但其预测价值较小。其次,设计基于网络的干预措施以促进对干预措施所有功能的依从性和使用非常重要。
荷兰试验注册号:NTR3007;http://www.trialregister.nl/trialreg/admin/rctview.asp?TC = 3007(由WebCite存档于http://www.webcitation.org/6ILhI3rd8)