@文章{信息:doi/10.2196/15663，作者=“Biviji, Rizwana和Vest, Joshua R和Dixon, Brian E和Cullen, Theresa和Harle, Christopher A”，标题=“孕产妇和婴儿健康移动应用的用户评价和用户下载相关因素:横断面研究”，期刊=“JMIR移动健康Uhealth”，年=“2020”，月=“1”，日=“24”，卷=“8”，数=“1”，页=“e15663”，关键词=“Mhealth;移动应用;怀孕;分娩;婴儿护理;背景:与孕产妇和婴儿健康(MIH)相关的移动健康应用程序普遍存在并经常使用。其中一些应用非常受欢迎，下载量超过500万次。然而，基于消费者对不同应用功能和类别的偏好，对用户行为和用户采用这些应用的理解是有限的。目的:本研究旨在探讨MIH应用程序特征与用户感知满意度和使用意图的关系。方法:应用程序特征、评分和下载量之间的关联被评估在MIH应用程序的样本中，这些应用程序旨在为孕妇或婴儿的父母和照顾者提供健康教育或决策支持。 Multivariable linear regression was used to assess the relationship between app characteristics and user ratings, and ordinal logistic regression was used to assess the relationship between app characteristics and user downloads. Results: The analyses of user ratings and downloads included 421 and 213 apps, respectively. The average user rating was 3.79 out of 5. Compared with the Apple App Store, the Google Play Store was associated with high user ratings (beta=.33; P=.005). Apps with higher standardized user ratings (beta=.80; P<.001), in-app purchases (beta=1.12; P=.002), and in-app advertisements (beta=.64; P=.02) were more frequently downloaded. Having a health care organization developer as part of the development team was neither associated with user ratings (beta=−.20; P=.06) nor downloads (beta=−.14; P=.63). Conclusions: A majority of MIH apps are developed by non--health care organizations, which could raise concern about the accuracy and trustworthiness of in-app information. These findings could benefit app developers in designing better apps and could help inform marketing and development strategies. Further work is needed to evaluate the clinical accuracy of information provided within the apps. ", issn="2291-5222", doi="10.2196/15663", url="http://mhealth.www.mybigtv.com/2020/1/e15663/", url="https://doi.org/10.2196/15663", url="http://www.ncbi.nlm.nih.gov/pubmed/32012107" }