The German version of the mHealth App Usability Questionnaire (GER-MAUQ): Translation and validation study in patients with cardiovascular disease

Author:

Tacke Theodora1ORCID,Nohl-Deryk Pascal1,Lingwal Neelam2,Reimer Lara Marie34,Starnecker Fabian56ORCID,Güthlin Corina1,Gerlach Ferdinand M1,Schunkert Heribert567,Jonas Stephan4ORCID,Müller Angelina1ORCID

Affiliation:

1. Institute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Germany

2. Institute of Biostatistics and Mathematical Modeling, Goethe University, Frankfurt, Germany

3. School of Computation, Information and Technology, Technical University of Munich, Munich, Germany

4. Institute for Digital Medicine, University Hospital Bonn, Bonn, Germany

5. Department of Cardiology, German Heart Center Munich, Technical University of Munich, Munich, Germany

6. Deutsches Zentrum für Herz- und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, Munich, Germany

7. Medical Graduate Center, Technical University of Munich, Munich, Germany

Abstract

Objective In Germany, only a few standardized evaluation tools for assessing the usability of mobile Health apps exist so far. This study aimed to translate and validate the English patient version for standalone apps of the mHealth App Usability Questionnaire (MAUQ) into a German version. Methods Following scientific guidelines for translation and cross-cultural adaptation, the patient version for standalone apps was forward and back-translated from English into German by an expert panel. In total, 53 participants who were recruited as part of the beta testing process of the recently developed mHealth app HerzFit, answered the questions of the German version of the MAUQ (GER-MAUQ) and the System Usability Scale. Subsequently, a descriptive as well as a psychometric analysis was performed to test validity and reliability. Results After conducting three cognitive interviews, five items were modified. The values for Cronbach alpha for the entire questionnaire and the three subscales (0.966, 0.814, 0.910, and 0.909) indicate strong internal consistency. The correlation analysis revealed that the scores of the GER-MAUQ, the subscales and the SUS were strongly correlated with each other. The correlation coefficient of the SUS and the GER-MAUQ overall score was r = 0.854, P < 0.001 and the coefficients of the subscales and the SUS were r = 0.642, P < 0.001; r = 0.866, P < 0.001 and r = 0.643, P < 0.001. Conclusions We have developed a novel German version of the MAUQ and demonstrated it as a reliable and valid measurement tool for assessing the usability of standalone mHealth apps from the patients’ perspective. The GER-MAUQ allows a new form of standardized assessment of usability of mHealth apps for patients with cardiovascular disease in Germany. Further research with a larger sample and other samples is recommended.

Funder

Bavarian State Ministry of Health and Care within the framework of DigiMed Bayern

Publisher

SAGE Publications

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