@Article{信息:doi 10.2196 / /移动医疗。7236，作者=“Taki, Sarah和Lymer, Sharyn和Russell, Catherine Georgina和Campbell, Karen和Laws, Rachel和Ong, kokleong和Elliott, Rosalind和Denney-Wilson, Elizabeth”，标题=“评估移动健康干预的用户参与度:不断增长的健康应用程序参与度指数的开发和实施”，期刊=“JMIR移动健康Uhealth”，年=“2017”，月=“6”，日=“29”，卷=“5”，数=“6”，页=“e89”，关键词=“mHealth;社会媒介;婴儿肥胖;婴儿发展;孩子;婴儿;从业人员;背景:儿童肥胖在发达国家是一个持续存在的问题，需要在最年轻的年龄组中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。 Mobile health (mHealth) interventions offer a potential route to target these families because of its relatively low cost and high reach. The Growing healthy program was developed to provide evidence-based information on infant feeding from birth to 9 months via app or website. Understanding user engagement with these media is vital to developing successful interventions. Engagement is a complex, multifactorial concept that needs to move beyond simple metrics. Objective: The aim of our study was to describe the development of an engagement index (EI) to monitor participant interaction with the Growing healthy app. The index included a number of subindices and cut-points to categorize engagement. Methods: The Growing program was a feasibility study in which 300 mother-infant dyads were provided with an app which included 3 push notifications that was sent each week. 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. ", issn="2291-5222", doi="10.2196/mhealth.7236", url="http://mhealth.www.mybigtv.com/2017/6/e89/", url="https://doi.org/10.2196/mhealth.7236", url="http://www.ncbi.nlm.nih.gov/pubmed/28663164" }