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移动癌症应用程序评分工具的开发:选定癌症应用程序的信息分析及形式与内容相关评估

Development of a Rating Tool for Mobile Cancer Apps: Information Analysis and Formal and Content-Related Evaluation of Selected Cancer Apps.

作者信息

Böhme Cathleen, von Osthoff Marc Baron, Frey Katrin, Hübner Jutta

机构信息

Klinik für Innere Medizin II, Hämatologie und Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.

Kliniken des Main Taunus Kreises GmbH Bad Soden, Klinik für Orthopädie und Unfallchirurgie, Bad Soden, Germany.

出版信息

J Cancer Educ. 2019 Feb;34(1):105-110. doi: 10.1007/s13187-017-1273-9.

Abstract

Mobile apps are offered in large numbers and have different qualities. The aim of this article was to develop a rating tool based on formal and content-related criteria for the assessment of cancer apps and to test its applicability on apps. After a thorough analysis of the literature, we developed a specific rating tool for cancer apps based on the MARS (mobile app rating system) and a rating tool for cancer websites. This instrument was applied to apps freely available in stores and focusing on some cancer topic. Ten apps were rated on the basis of 22 criteria. Sixty percent of the apps (6/10) were rated poor and insufficient. The rating by different scientists was homogenous. The good apps had reliable sources were regularly updated and had a concrete intent/purpose in their app description. In contrast, the apps that were rated poor had no distinction of scientific content and advertisement. In some cases, there was no imprint to identify the provider. As apps of poor quality can give misinformation and lead to wrong treatment decisions, efforts have to be made to increase usage of high-quality apps. Certification would help cancer patients to identify reliable apps, yet acceptance of a certification system must be backed up.

摘要

市面上有大量的移动应用程序,质量参差不齐。本文旨在基于形式和内容相关标准开发一种用于评估癌症应用程序的评级工具,并测试其在应用程序上的适用性。在对文献进行全面分析之后,我们基于移动应用程序评分系统(MARS)开发了一种针对癌症应用程序的特定评级工具以及一种针对癌症网站的评级工具。该工具被应用于商店中免费提供的、专注于某些癌症主题的应用程序。根据22项标准对10款应用程序进行了评级。60%的应用程序(6/10)被评为差且不足。不同科学家的评级具有同质性。优质的应用程序有可靠的来源,定期更新,并且在应用程序描述中有具体的意图/目的。相比之下,被评为差的应用程序没有区分科学内容和广告。在某些情况下,没有标识来识别提供者。由于质量差的应用程序可能会提供错误信息并导致错误的治疗决策,因此必须努力增加高质量应用程序的使用。认证将有助于癌症患者识别可靠的应用程序,然而认证系统的接受度必须得到支持。

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