Department of Health and Kinesiology, Texas A&M University, College Station, TX, USA.
The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Eur J Hum Genet. 2019 Jun;27(6):833-840. doi: 10.1038/s41431-019-0360-2. Epub 2019 Feb 26.
Mobile applications (apps) have been increasingly utilized to access the latest and abundant information related to genetics/genomics for resources, risk assessments, and individualized recommendations. Nevertheless, the number and quality of the current apps in genetics/genomics remain unknown. Thus, in this review, we aimed to identify existing genetic/genomic apps, summarize their characteristics, and examine their quality. A systematic search of genetics/genomics apps was conducted on Apple Store and Google Play. We adapted a validated evaluation scale, Mobile App Rating Scale (MARS), to examine the quality of genetics/genomics apps. Eighty-eight genetics/genomics apps, with the cost ranging from free to $49.99, formed the final sample. Findings showed that the majority of the apps had reference/resource as a feature (95.5%), had health professional students as the target audience (86.4%), and did not focus on specific diseases (78.5%). Only 21.6% of the apps were developed by reliable or authoritative agencies, and the apps' overall quality was slightly above average based on the criteria of the MARS. Therefore, while genetics/genomics mobile apps might be useful resources, their quality still needs improvement, especially with respect to the credibility and evidence-based items of app information as well as the customization items of app engagement; caution must be taken when using those apps.
移动应用程序(apps)越来越多地被用于获取与遗传学/基因组学相关的最新、丰富的资源、风险评估和个性化建议信息。然而,目前遗传学/基因组学应用程序的数量和质量仍然未知。因此,在本综述中,我们旨在确定现有的遗传/基因组学应用程序,总结它们的特征,并检查它们的质量。在 Apple Store 和 Google Play 上进行了系统的遗传学/基因组学应用程序搜索。我们采用了经过验证的评估量表,即移动应用程序评级量表(MARS),来评估遗传学/基因组学应用程序的质量。最终样本包括 88 个遗传学/基因组学应用程序,费用从免费到 49.99 美元不等。研究结果表明,大多数应用程序都具有参考/资源功能(95.5%),以医疗专业学生为目标受众(86.4%),且不专注于特定疾病(78.5%)。只有 21.6%的应用程序是由可靠或权威机构开发的,根据 MARS 的标准,这些应用程序的整体质量略高于平均水平。因此,虽然遗传学/基因组学移动应用程序可能是有用的资源,但它们的质量仍需要改进,特别是在应用程序信息的可信度和基于证据的项目以及应用程序参与的定制项目方面;在使用这些应用程序时必须谨慎。