Strecher Victor J, McClure Jennifer, Alexander Gwen, Chakraborty Bibhas, Nair Vijay, Konkel Janine, Greene Sarah, Couper Mick, Carlier Carola, Wiese Cheryl, Little Roderick, Pomerleau Cynthia, Pomerleau Ovide
Center for Health Communications Research, University of Michigan School of Public Health, Ann Arbor, MI 48109-0471, USA.
J Med Internet Res. 2008 Nov 4;10(5):e36. doi: 10.2196/jmir.1002.
Web-based programs for health promotion, disease prevention, and disease management often experience high rates of attrition. There are 3 questions which are particularly relevant to this issue. First, does engagement with program content predict long-term outcomes? Second, which users are most likely to drop out or disengage from the program? Third, do particular intervention strategies enhance engagement?
To determine: (1) whether engagement (defined by the number of Web sections opened) in a Web-based smoking cessation intervention predicts 6-month abstinence, (2) whether particular sociodemographic and psychographic groups are more likely to have lower engagement, and (3) whether particular components of a Web-based smoking cessation program influence engagement.
A randomized trial of 1866 smokers was used to examine the efficacy of 5 different treatment components of a Web-based smoking cessation intervention. The components were: high- versus low-personalized message source, high- versus low-tailored outcome expectation, efficacy expectation, and success story messages. Moreover, the timing of exposure to these sections was manipulated, with participants randomized to either a single unified Web program with all sections available at once, or sequential exposure to each section over a 5-week period of time. Participants from 2 large health plans enrolled to receive the online behavioral smoking cessation program and a free course of nicotine replacement therapy (patch). The program included: an introduction section, a section focusing on outcome expectations, 2 sections focusing on efficacy expectations, and a section with a narrative success story (5 sections altogether, each with multiple screens). Most of the analyses were conducted with a stratification of the 2 exposure types. Measures included: sociodemographic and psychosocial characteristics, Web sections opened, perceived message relevance, and smoking cessation 6-months following quit date.
The total number of Web sections opened was related to subsequent smoking cessation. Participants who were younger, were male, or had less formal education were more likely to disengage from the Web-based cessation program, particularly when the program sections were delivered sequentially over time. More personalized source and high-depth tailored self-efficacy components were related to a greater number of Web sections opened. A path analysis model suggested that the impact of high-depth message tailoring on engagement in the sequentially delivered Web program was mediated by perceived message relevance.
Results of this study suggest that one of the mechanisms underlying the impact of Web-based smoking cessation interventions is engagement with the program. The source of the message, the degree of message tailoring, and the timing of exposure appear to influence Web-based program engagement.
基于网络的健康促进、疾病预防和疾病管理项目往往面临着高流失率。有三个问题与这个问题特别相关。第一,参与项目内容能否预测长期结果?第二,哪些用户最有可能退出或不再参与该项目?第三,特定的干预策略是否能增强参与度?
确定:(1)基于网络的戒烟干预中的参与度(由打开的网页板块数量定义)是否能预测6个月的戒烟情况;(2)特定的社会人口统计学和心理特征群体是否更有可能参与度较低;(3)基于网络的戒烟项目的特定组成部分是否会影响参与度。
一项针对1866名吸烟者的随机试验用于检验基于网络的戒烟干预中5种不同治疗组成部分的效果。这些组成部分包括:高个性化与低个性化的信息来源、高定制与低定制的结果期望、效能期望以及成功故事信息。此外,对接触这些板块的时间进行了操控,参与者被随机分配到要么是一个所有板块一次性可用的单一统一网络项目,要么是在5周时间内依次接触每个板块。来自2个大型健康计划的参与者报名接受在线行为戒烟项目和一个免费的尼古丁替代疗法(贴片)疗程。该项目包括:一个介绍板块、一个关注结果期望的板块、2个关注效能期望的板块以及一个有成功故事叙述的板块(总共5个板块,每个板块有多个页面)。大多数分析是在对2种接触类型进行分层的基础上进行的。测量指标包括:社会人口统计学和心理社会特征、打开的网页板块、感知到的信息相关性以及戒烟日期后6个月的戒烟情况。
打开的网页板块总数与随后的戒烟情况相关。年龄较小、男性或受教育程度较低的参与者更有可能退出基于网络的戒烟项目,尤其是当项目板块是随着时间依次提供时。更个性化的来源和高深度定制的自我效能组成部分与打开的网页板块数量较多相关。一个路径分析模型表明,高深度信息定制对依次提供的网络项目中参与度的影响是通过感知到的信息相关性来介导的。
这项研究的结果表明,基于网络的戒烟干预产生影响的潜在机制之一是对项目的参与度。信息来源、信息定制程度以及接触时间似乎会影响基于网络的项目参与度。