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利用互联网促进健康行为改变:对理论基础、行为改变技术的应用以及传播方式对效果影响的系统评价和荟萃分析。

Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy.

作者信息

Webb Thomas L, Joseph Judith, Yardley Lucy, Michie Susan

机构信息

Department of Psychology, University of Sheffield, Western Bank, Sheffield, UK.

出版信息

J Med Internet Res. 2010 Feb 17;12(1):e4. doi: 10.2196/jmir.1376.

Abstract

BACKGROUND

The Internet is increasingly used as a medium for the delivery of interventions designed to promote health behavior change. However, reviews of these interventions to date have not systematically identified intervention characteristics and linked these to effectiveness.

OBJECTIVES

The present review sought to capitalize on recently published coding frames for assessing use of theory and behavior change techniques to investigate which characteristics of Internet-based interventions best promote health behavior change. In addition, we wanted to develop a novel coding scheme for assessing mode of delivery in Internet-based interventions and also to link different modes to effect sizes.

METHODS

We conducted a computerized search of the databases indexed by ISI Web of Knowledge (including BIOSIS Previews and Medline) between 2000 and 2008. Studies were included if (1) the primary components of the intervention were delivered via the Internet, (2) participants were randomly assigned to conditions, and (3) a measure of behavior related to health was taken after the intervention.

RESULTS

We found 85 studies that satisfied the inclusion criteria, providing a total sample size of 43,236 participants. On average, interventions had a statistically small but significant effect on health-related behavior (d(+) = 0.16, 95% CI 0.09 to 0.23). More extensive use of theory was associated with increases in effect size (P = .049), and, in particular, interventions based on the theory of planned behavior tended to have substantial effects on behavior (d(+) = 0.36, 95% CI 0.15 to 0.56). Interventions that incorporated more behavior change techniques also tended to have larger effects compared to interventions that incorporated fewer techniques (P < .001). Finally, the effectiveness of Internet-based interventions was enhanced by the use of additional methods of communicating with participants, especially the use of short message service (SMS), or text, messages.

CONCLUSIONS

The review provides a framework for the development of a science of Internet-based interventions, and our findings provide a rationale for investing in more intensive theory-based interventions that incorporate multiple behavior change techniques and modes of delivery.

摘要

背景

互联网越来越多地被用作一种媒介,用于提供旨在促进健康行为改变的干预措施。然而,迄今为止对这些干预措施的综述尚未系统地确定干预特征并将其与有效性联系起来。

目的

本综述旨在利用最近发表的用于评估理论和行为改变技术使用情况的编码框架,以研究基于互联网的干预措施的哪些特征最能促进健康行为改变。此外,我们希望开发一种新颖的编码方案,用于评估基于互联网的干预措施的交付模式,并将不同模式与效应大小联系起来。

方法

我们对2000年至2008年期间由ISI Web of Knowledge索引的数据库(包括BIOSIS Previews和Medline)进行了计算机化检索。纳入的研究需满足以下条件:(1)干预的主要组成部分通过互联网交付;(2)参与者被随机分配到不同条件;(3)干预后采取了与健康相关的行为测量。

结果

我们发现85项研究符合纳入标准,提供了总共43236名参与者的样本量。平均而言,干预措施对健康相关行为有统计学上虽小但显著的影响(d(+) = 0.16,95%置信区间0.09至0.23)。更广泛地使用理论与效应大小的增加相关(P = 0.049),特别是基于计划行为理论的干预措施往往对行为有显著影响(d(+) = 0.36,95%置信区间0.15至0.56)。与采用较少行为改变技术的干预措施相比,采用更多行为改变技术的干预措施往往也有更大的效果(P < 0.001)。最后,通过使用与参与者沟通的其他方法,特别是使用短消息服务(SMS)或文本消息,基于互联网的干预措施的有效性得到了提高。

结论

该综述为基于互联网的干预科学发展提供了一个框架,我们的研究结果为投资于更密集的基于理论的干预措施提供了理论依据,这些干预措施结合了多种行为改变技术和交付模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dda/2836773/67cf06785c33/jmir_v12i1e4_fig1.jpg

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