TY -非盟的莫里森,Leanne G盟——Hargood查理AU -林,沙龙晓文AU -高秤,劳拉AU -约瑟夫,朱迪思盟-休斯,斯蒂芬妮盟——Michaelides Danius T非盟-约翰斯顿,德里克。非盟-约翰斯顿,玛丽盟——米奇,苏珊盟,小保罗AU -史密斯,彼得WF AU -福利,Mark J AU -亚德利,露西PY - 2014 DA - 2014/10/22 TI -理解使用混合网站体重管理和智能手机应用程序:混合方法研究JO - J Med Internet Res SP - e201 VL - 16 IS - 10kw -定性研究KW -减肥KW -行为研究KW -移动应用程序KW -互联网KW -健康KW -程序可接受度KW -行为KW -混合方法AB -背景:移动电话技术的进步为增强健康行为改变干预的及时交付提供了巨大的潜力。基于智能手机的健康干预(应用程序)的开发是一个快速发展的研究领域,但很少有纵向研究人们如何在日常生活中体验和使用这些应用程序,特别是在基于Web和基于应用程序的混合干预的背景下。目的:本研究采用深入的混合方法设计,以检查(1)在与基于web的体重管理干预(POWeR)同时提供时,访问体重管理应用(POWeR Tracker)对自我报告的目标投入(即动机、自我效能、意识、努力、成就)的影响;(2)使用和查看POWeR Tracker。方法:为13名成年人提供POWeR,并对其进行为期4周的监测。每隔两周(即第1周和第3周或第2周和第4周)提供一次POWeR Tracker。参与者每天通过自我报告来衡量目标投入程度。研究人员使用混合效应模型来检查在POWeR Tracker可用和不可用的几周内,目标投入的变化,以及个体参与者之间目标投入的变化程度是否不同。POWeR和POWeR Tracker的使用情况会被自动记录下来。通过电话访谈和归纳主题分析,进一步探讨参与者使用POWeR和POWeR Tracker的体验。结果:使用POWeR Tracker与参与者对饮食(β1=0.31, P=.04)和体育活动目标(β1=0.28, P=.03)的意识显著增加相关。 The level of increase varied between individual participants. Usage data showed that participants used the POWeR website for similar amounts of time during the weeks when POWeR Tracker was (mean 29 minutes, SD 31 minutes) and was not available (mean 27 minutes, SD 33 minutes). POWeR Tracker was mostly accessed in short bursts (mean 3 minutes, SD 2 minutes) during convenient moments or moments when participants deemed the intervention content most relevant. The qualitative data indicated that nearly all participants agreed that it was more convenient to access information on-the-go via their mobiles compared to a computer. However, participants varied in their views and usage of the Web- versus app-based components and the informational versus tracking tools provided by POWeR Tracker. Conclusions: This study provides evidence that smartphones have the potential to improve individuals’ engagement with their health-related goals when used as a supplement to an existing online intervention. The perceived convenience of mobile access to information does not appear to deter use of Web-based interventions or strengthen the impact of app access on goal engagement. A mixed-methods design enabled exploration of individual variation in daily usage of the app-based tools. SN - 1438-8871 UR - //www.mybigtv.com/2014/10/e201/ UR - https://doi.org/10.2196/jmir.3579 UR - http://www.ncbi.nlm.nih.gov/pubmed/25355131 DO - 10.2196/jmir.3579 ID - info:doi/10.2196/jmir.3579 ER -
Baidu
map