Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire

被引:33
|
作者
Martin Payo, R. [1 ]
Fernandez Alvarez, M. M. [1 ]
Blanco Diaz, M. [1 ]
Cuesta Izquierdo, M. [2 ]
Stoyanov, S. R. [3 ]
Llaneza Suarez, E. [4 ]
机构
[1] Univ Oviedo, Fac Med & Hlth Sci, Oviedo 33006, Asturias, Spain
[2] Univ Oviedo, Fac Psychol, Oviedo, Asturias, Spain
[3] Univ Queensland, Fac Hlth & Behav Sci, Sch Psychol, Brisbane, Qld, Australia
[4] Kings Coll Hosp London, London, England
关键词
Mobile health; mHealth; Mobile applications; APPS; ALPHA;
D O I
10.1016/j.ijmedinf.2019.06.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Introduction and aim: In recent years, numerous health-related apps have appeared on the market, and assessing their quality has become crucial. A very popular tool worldwide, created especially for this purpose, is the Mobile Application Rating Scale (MARS). However, there are no similar tools in Spanish. Therefore, the aim of this paper is to adapt MARS to the Spanish language and validate the resultant version. Method: The design consists of three processes: cross-cultural adaptation, translation, and metric evaluation. 46 mobile applications, 23 of which were for Apple telephones and 23 of which were for telephones running Android, were included in the study. The main objective of these applications was to promote physical activity. The internal factor structure and reliability of MARS were examined. Results: No major differences were observed in the two Spanish translations, which were carried out independently. The blind back-translation, reviewed by the original author of MARS, suggested minor edits. Discrimination indices (item-scale correlation) obtained appropriate results for both raters. The reliability of the scores was found to be appropriate both in terms of internal consistency (alpha > 0.77), temporal stability (r > 0.72), and inter-rater reliability (IC > 0.76). The correlations between the subscales have shown high values with range between 0.47 and 0.83. Conclusion: The Spanish version of MARS was shown to have appropriate metric properties to assess the quality of health apps.
引用
收藏
页码:95 / 99
页数:5
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