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Validation of the Mobile Application Rating Scale (MARS)
journal contributionposted on 31.03.2021, 00:27 by Yannik Terhorst, Paula Philippi, Lasse B Sander, Dana Schultchen, Sarah Paganini, Marco Bardus, Karla Santo, Johannes Knitza, Gustavo C Machado, Stephanie SchoeppeStephanie Schoeppe, Natalie Bauereiß, Alexandra Portenhauser, Matthias Domhardt, Benjamin Walter, Martin Krusche, Harald Baumeister, Eva-Maria Messner
Background: Mobile health apps (MHA) have the potential to improve health care. The commercial MHA market is rapidly growing, but the content and quality of available MHA are unknown. Instruments for the assessment of the quality and content of MHA are highly needed. The Mobile Application Rating Scale (MARS) is one of the most widely used tools to evaluate the quality of MHA. Only few validation studies investigated its metric quality. No study has evaluated the construct validity and concurrent validity. Objective: This study evaluates the construct validity, concurrent validity, reliability, and objectivity, of the MARS. Methods: Data was pooled from 15 international app quality reviews to evaluate the metric properties of the MARS. The MARS measures app quality across four dimensions: Engagement, functionality, aesthetics and information quality. Construct validity was evaluated by assessing related competing confirmatory models by confirmatory factor analysis (CFA). Noncentrality (RMSEA), incremental (CFI, TLI) and residual (SRMR) fit indices were used to evaluate the goodness of fit. As a measure of concurrent validity, the correlations to another quality assessment tool (ENLIGHT) were investigated. Reliability was determined using Omega. Objectivity was assessed by intra-class correlation. Results In total, MARS ratings from 1,299 MHA covering 15 different health domains were included. Confirmatory factor analysis confirmed a bifactor model with a general factor and a factor for each dimension (RMSEA = 0.074, TLI = 0.922, CFI = 0.940, SRMR = 0.059). Reliability was good to excellent (Omega 0.79 to 0.93). Objectivity was high (ICC = 0.82). MARS correlated with ENLIGHT (ps<.05). Conclusion: The metric evaluation of the MARS demonstrated its suitability for the quality assessment. As such, the MARS could be used to make the quality of MHA transparent to health care stakeholders and patients. Future studies could extend the present findings by investigating the re-test reliability and predictive validity of the MARS.
Number of Pages14
PublisherPublic Library of Science
Publisher LicenseCC BY
Full Text URL
Additional RightsCC BY 4.0
External Author AffiliationsUniversity Ulm, Albert-Ludwigs University, University of Freiburg, Germany; American University of Beirut, Lebanon; University of Sydney; The Institute for Global Health, Sydney; Institute for Musculoskeletal Health;
Author Research InstituteAppleton Institute
Mobile Health Apps (MHA)HealthcareMobile Application Rating Scale (MARS)Construct validityConcurrent validityReliabilityObjectivityFactor analysisPreventative medicineResearch quality assessmentFactor Analysis, StatisticalHumansMobile ApplicationsModels, TheoreticalReproducibility of ResultsTelemedicineGeneral Science & Technology