Clinical Psychology and Psychotherapy, Ulm University, Ulm, Germany.
Clinical and Biological Psychology, Catholic University Eichstaett-Ingolstadt, Eichstaett-Ingolstadt, Germany.
JMIR Mhealth Uhealth. 2020 Mar 27;8(3):e14479. doi: 10.2196/14479.
The number of mobile health apps (MHAs), which are developed to promote healthy behaviors, prevent disease onset, manage and cure diseases, or assist with rehabilitation measures, has exploded. App store star ratings and descriptions usually provide insufficient or even false information about app quality, although they are popular among end users. A rigorous systematic approach to establish and evaluate the quality of MHAs is urgently needed. The Mobile App Rating Scale (MARS) is an assessment tool that facilitates the objective and systematic evaluation of the quality of MHAs. However, a German MARS is currently not available.
The aim of this study was to translate and validate a German version of the MARS (MARS-G).
The original 19-item MARS was forward and backward translated twice, and the MARS-G was created. App description items were extended, and 104 MHAs were rated twice by eight independent bilingual researchers, using the MARS-G and MARS. The internal consistency, validity, and reliability of both scales were assessed. Mokken scale analysis was used to investigate the scalability of the overall scores.
The retranslated scale showed excellent alignment with the original MARS. Additionally, the properties of the MARS-G were comparable to those of the original MARS. The internal consistency was good for all subscales (ie, omega ranged from 0.72 to 0.91). The correlation coefficients (r) between the dimensions of the MARS-G and MARS ranged from 0.93 to 0.98. The scalability of the MARS (H=0.50) and MARS-G (H=0.48) were good.
The MARS-G is a reliable and valid tool for experts and stakeholders to assess the quality of health apps in German-speaking populations. The overall score is a reliable quality indicator. However, further studies are needed to assess the factorial structure of the MARS and MARS-G.
移动健康应用程序(MHAs)的数量呈爆炸式增长,这些应用程序旨在促进健康行为、预防疾病发作、管理和治疗疾病,或协助康复措施。应用商店的星级评分和描述通常提供关于应用程序质量的不足甚至虚假信息,尽管它们在最终用户中很受欢迎。迫切需要一种严格的系统方法来建立和评估 MHAs 的质量。移动应用程序评分量表(MARS)是一种评估工具,可促进 MHAs 质量的客观和系统评估。然而,目前还没有德语版的 MARS。
本研究旨在翻译和验证 MARS 的德语版本(MARS-G)。
原始的 19 项 MARS 被翻译了两次,创建了 MARS-G。应用程序描述项被扩展,8 位独立的双语研究人员使用 MARS-G 和 MARS 对 104 个 MHAs 进行了两次评分。评估了这两个量表的内部一致性、有效性和可靠性。Mokken 量表分析用于研究总分的可伸缩性。
重新翻译的量表与原始 MARS 非常吻合。此外,MARS-G 的特性与原始 MARS 相当。所有子量表的内部一致性都很好(即,omega 值范围为 0.72 至 0.91)。MARS-G 和 MARS 维度之间的相关系数(r)范围为 0.93 至 0.98。MARS(H=0.50)和 MARS-G(H=0.48)的可伸缩性良好。
MARS-G 是专家和利益相关者评估德语人群健康应用程序质量的可靠且有效的工具。总分是一个可靠的质量指标。然而,需要进一步的研究来评估 MARS 和 MARS-G 的因子结构。