Graduate School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, United States.
Department of Health and Kinesiology, Texas A&M University, College Station, TX, United States.
JMIR Mhealth Uhealth. 2021 Oct 14;9(10):e30404. doi: 10.2196/30404.
Prenatal genetic testing is an essential part of routine prenatal care. Yet, obstetricians often lack the time to provide comprehensive prenatal genetic testing education to their patients. Pregnant women lack prenatal genetic testing knowledge, which may hinder informed decision-making during their pregnancies. Due to the rapid growth of technology, mobile apps are a potentially valuable educational tool through which pregnant women can learn about prenatal genetic testing and improve the quality of their communication with obstetricians. The characteristics, quality, and number of available apps containing prenatal genetic testing information are, however, unknown.
This study aims to conduct a firstreview to identify, evaluate, and summarize currently available mobile apps that contain prenatal genetic testing information using a systematic approach.
We searched both the Apple App Store and Google Play for mobile apps containing prenatal genetic testing information. The quality of apps was assessed based on the criteria adopted from two commonly used and validated mobile app scoring systems, including the Mobile Application Rating Scale (MARS) and the APPLICATIONS evaluation criteria.
A total of 64 mobile apps were identified. Of these, only 2 apps were developed for a specific prenatal genetic test. All others were either pregnancy-related (61/64, 95%) or genetics-related (1/64, 2%) apps that provided prenatal genetic testing information. The majority of the apps (49/64, 77%) were developed by commercial companies. The mean quality assessment score of the included apps was 13.5 (SD 2.9), which was equal to the average of possible theoretical score. Overall, the main weaknesses of mobile apps in this review included the limited number of prenatal genetic tests mentioned; incomprehensiveness of testing information; unreliable and missing information sources; absence of developmental testing with users (not evidence based); high level of readability; and the lack of visual information, customization, and a text search field.
Our findings suggest that the quality of mobile apps with prenatal genetic testing information must be improved and that pregnant women should be cautious when using these apps for prenatal genetic testing information. Obstetricians should carefully examine mobile apps before referring any of them to their patients for use as an educational tool. Both improving the quality of existing mobile apps, and developing new, evidence-based, high-quality mobile apps targeting all prenatal genetic tests should be the focus of mobile app developers going forward.
产前基因检测是常规产前护理的重要组成部分。然而,妇产科医生往往没有时间向患者提供全面的产前基因检测教育。孕妇缺乏产前基因检测知识,这可能会阻碍她们在怀孕期间做出明智的决策。由于技术的快速发展,移动应用程序是一种潜在的有价值的教育工具,通过它孕妇可以了解产前基因检测,并提高与妇产科医生沟通的质量。然而,目前可用的包含产前基因检测信息的应用程序的特点、质量和数量尚不清楚。
本研究旨在通过系统评价,首次对目前可用的包含产前基因检测信息的移动应用程序进行识别、评估和总结。
我们在苹果应用商店和谷歌应用商店中搜索包含产前基因检测信息的移动应用程序。应用程序的质量是根据两个常用的、经过验证的移动应用程序评分系统(包括移动应用程序评分量表和 APPLICATIONS 评估标准)的标准来评估的。
共发现 64 个移动应用程序。其中,只有 2 个应用程序是为特定的产前基因检测开发的。其他的都是与妊娠相关的(61/64,95%)或与遗传学相关的(1/64,2%)应用程序,提供产前基因检测信息。大多数应用程序(49/64,77%)是由商业公司开发的。纳入应用程序的平均质量评估得分为 13.5(SD 2.9),与理论得分的平均值相等。总的来说,本次审查中移动应用程序的主要弱点包括提到的产前基因检测数量有限;检测信息不全面;信息来源不可靠且缺失;缺乏与用户的发展性测试(无证据支持);可读性高;缺乏视觉信息、定制和文本搜索字段。
我们的研究结果表明,包含产前基因检测信息的移动应用程序的质量需要改进,孕妇在使用这些应用程序获取产前基因检测信息时应谨慎。妇产科医生在向患者推荐任何用于教育工具的应用程序之前,应仔细检查移动应用程序。无论是提高现有移动应用程序的质量,还是开发针对所有产前基因检测的新的、基于证据的、高质量的移动应用程序,都应该成为移动应用程序开发者未来的重点。