@Article{信息:doi/10.2196/24773，作者=“Pathiravasan, Chathurangi H和Zhang, Yuankai和Trinquart, Ludovic和Benjamin, Emelia J和Borrelli, Belinda和McManus, David D和Kheterpal, Vik和Lin, Honghuang和Sardana, Mayank和Hammond, Michael M和Spartano, Nicole L和Dunn, Amy L和Schramm, Eric和Nowak, Christopher和Manders, Emily S和Liu, Hongshan和Kornej, Jelena和Liu, Chunyu和Murabito, Joanne M”，标题=“基于移动应用程序的调查的遵从性及与传统调查的比较:eCohort研究”，期刊=“J Med Internet Res”，年=“2021”，月=“1”，日=“20”，卷=“23”，数=“1”，页=“e24773”，关键词=“eCohort;移动健康;移动健康;智能手机;调查;应用程序;弗雷明汉心脏研究;依从性;协议; cardiovascular disease", abstract="Background: eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare the digital data to traditional data collection. Objective: The aim of this study was to evaluate adherence of the eFHS app-based surveys deployed at baseline (time of enrollment in the eCohort) and every 3 months up to 1 year, and to compare baseline digital surveys with surveys collected at the research center. Methods: We defined adherence rates as the proportion of participants who completed at least one survey at a given 3-month period and computed adherence rates for each 3-month period. To evaluate agreement, we compared several baseline measures obtained in the eFHS app survey to those obtained at the in-person research center exam using the concordance correlation coefficient (CCC). Results: Among the 1948 eFHS participants (mean age 53, SD 9 years; 57{\%} women), we found high adherence to baseline surveys (89{\%}) and a decrease in adherence over time (58{\%} at 3 months, 52{\%} at 6 months, 41{\%} at 9 months, and 40{\%} at 12 months). eFHS participants who returned surveys were more likely to be women (adjusted odds ratio [aOR] 1.58, 95{\%} CI 1.18-2.11) and less likely to be smokers (aOR 0.53, 95{\%} CI 0.32-0.90). Compared to in-person exam data, we observed moderate agreement for baseline app-based surveys of the Physical Activity Index (mean difference 2.27, CCC=0.56), and high agreement for average drinks per week (mean difference 0.54, CCC=0.82) and depressive symptoms scores (mean difference 0.03, CCC=0.77). Conclusions: We observed that eFHS participants had a high survey return at baseline and each 3-month survey period over the 12 months of follow up. We observed moderate to high agreement between digital and research center measures for several types of surveys, including physical activity, depressive symptoms, and alcohol use. Thus, this digital data collection mechanism is a promising tool to collect data related to cardiovascular disease and its risk factors. ", issn="1438-8871", doi="10.2196/24773", url="//www.mybigtv.com/2021/1/e24773/", url="https://doi.org/10.2196/24773", url="http://www.ncbi.nlm.nih.gov/pubmed/33470944" }