@Article{信息:doi 10.2196 / / jmir。1430,作者=“Couper, Mick P和Alexander, Gwen L和Zhang, Nanhua和Little, Roderick JA和Maddy, Noel和Nowak, Michael A和McClure, Jennifer B和Calvi, Josephine J和Rolnick, Sharon J和Stopponi, Melanie A和Cole Johnson, Christine”,标题=“参与和保留:测量参与者使用在线干预的广度和深度”,期刊=“J Med Internet Res”,年=“2010”,月=“11”,日=“18”,卷=“12”,数=“4”,页=“e52”,关键词=“方法论研究;互联网;过程指标;背景:互联网为我们提供了工具(用户指标或参数)来评估用户如何与在线干预互动。对这些矛盾的分析可以导致设计的改进。目的:目的是探讨在线干预中在线参与者参与的质量。我们在一项旨在促进水果和蔬菜消费的在线干预的替代版本的随机对照试验中分析了这一悖论。方法:志愿者被随机分为三个研究组中的一个,其中包括几个在线课程。我们创建了2个间接测量广度和深度的方法来测量不同的维度和项目参与的动态,这是基于对网页访问和在线使用干预材料的时间的参数分析。 Multiple regression was used to assess influence of engagement on retention and change in dietary intake. Results: Baseline surveys were completed by 2513 enrolled participants. Of these, 86.3{\%} (n = 2168) completed the follow-up surveys at 3 months, 79.6{\%} (n = 2027) at 6 months, and 79.4{\%} (n = 1995) at 12 months. The 2 tailored intervention arms exhibited significantly more engagement than the untailored arm (P < .01). Breadth and depth measures of engagement were significantly associated with completion of follow-up surveys (odds ratios [OR] = 4.11 and 2.12, respectively, both P values < .001). The breadth measure of engagement was also significantly positively associated with a key study outcome, the mean increase in fruit and vegetable consumption (P < .001). Conclusions: By exploring participants' exposures to online interventions, paradata are valuable in explaining the effects of tailoring in increasing participant engagement in the intervention. Controlling for intervention arm, greater engagement is also associated with retention of participants and positive change in a key outcome of the intervention, dietary change. This paper demonstrates the utility of paradata capture and analysis for evaluating online health interventions. Trial Registration: NCT00169312; http://clinicaltrials.gov/ct2/show/NCT00169312 (Archived by WebCite at http://www.webcitation.org/5u8sSr0Ty) ", issn="1438-8871", doi="10.2196/jmir.1430", url="//www.mybigtv.com/2010/4/e52/", url="https://doi.org/10.2196/jmir.1430", url="http://www.ncbi.nlm.nih.gov/pubmed/21087922" }
Baidu
map