移动医疗干预的用户参与度评估:移动医疗干预的用户参与度评估:卡塔尔世界杯8强波胆分析不断增长的健康应用程序参与指数的开发和实施%A Taki,Sarah %A Lymer,Sharyn %A Russell,Catherine Georgina %A Campbell,Karen %A Laws,Rachel %A Ong,Kok-Leong %A Elliott,Rosalind %A Denney-Wilson,Elizabeth %+悉尼科技大学，2007年澳大利亚悉尼Ultimo新南威尔士州琼斯街235号8楼10号楼，61 0424393630sarah.b.taki@student.uts.edu.au %K移动健康%K社会媒介%K婴儿肥胖%K婴儿发育%K儿童%K从业人员%K初级卫生保健%D 2017 %7 2017年6月29日背景:儿童肥胖是发达国家一个持续存在的问题，需要在最年轻的年龄组进行有针对性的预防。社会经济条件不利家庭的儿童面临的风险最大。移动保健(mHealth)干预措施提供了针对这些家庭的潜在途径，因为其成本相对较低且覆盖面广。“健康成长”计划旨在通过应用程序或网站提供婴儿从出生到9个月喂养的循证信息。了解用户与这些媒体的互动对于制定成功的干预措施至关重要。用户粘性是一个复杂的、多因素的概念，需要超越简单的指标。目的:我们研究的目的是描述参与指数(EI)的发展，以监测参与者与Growing healthy应用程序的互动。该指数包括许多子指数和分界点，用于对参与度进行分类。方法:成长计划是一项可行性研究，为300对母婴提供一个应用程序，该应用程序每周发送3次推送通知。 Growing healthy participants completed surveys at 3 time points: baseline (T1) (infant age ≤3 months), infant aged 6 months (T2), and infant aged 9 months (T3). In addition, app usage data were captured from the app. The EI was adapted from the Web Analytics Demystified visitor EI. Our EI included 5 subindices: (1) click depth, (2) loyalty, (3) interaction, (4) recency, and (5) feedback. The overall EI summarized the subindices from date of registration through to 39 weeks (9 months) from the infant’s date of birth. Basic descriptive data analysis was performed on the metrics and components of the EI as well as the final EI score. Group comparisons used t tests, analysis of variance (ANOVA), Mann-Whitney, Kruskal-Wallis, and Spearman correlation tests as appropriate. Consideration of independent variables associated with the EI score were modeled using linear regression models. Results: The overall EI mean score was 30.0% (SD 11.5%) with a range of 1.8% - 57.6%. The cut-points used for high engagement were scores greater than 37.1% and for poor engagement were scores less than 21.1%. Significant explanatory variables of the EI score included: parity (P=.005), system type including “app only” users or “both” app and email users (P<.001), recruitment method (P=.02), and baby age at recruitment (P=.005). Conclusions: The EI provided a comprehensive understanding of participant behavior with the app over the 9-month period of the Growing healthy program. The use of the EI in this study demonstrates that rich and useful data can be collected and used to inform assessments of the strengths and weaknesses of the app and in turn inform future interventions. %M 28663164 %R 10.2196/mhealth.7236 %U http://mhealth.www.mybigtv.com/2017/6/e89/ %U https://doi.org/10.2196/mhealth.7236 %U http://www.ncbi.nlm.nih.gov/pubmed/28663164