Subjective Usability and Will of Use on mHealth Application for Postpartum Emotional Disorder - A Case of We’ll

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Abstract

Patients having serious postpartum emotional disorder could have the intention of committing suicide or be in the danger of harming the new-born baby. Some researchers have developed a postpartum emotional disorder assistance mobile application, We’ll, with social support as its core structure. Emotional support for the patients suffering postpartum emotional disorder can be enhanced through the interactive function of making wishes to further ease their depression problems. The study aimed to understand the subjective usability and willingness of use for the target users of We’ll APP and discuss the actual needs of the users to further propose the optimized plans and suggestions for the mobile application. In this study, 15 subjects, satisfied the criteria of being a Taiwanese puerpera around 20 to 40 years old with child-birth experience, were recruited. The subjects are required to operate the We’ll APP and perform 12 predetermined tasks for the evaluation of system usability scale (SUS). The willingness of use, satisfaction and other suggestions to the APP can be understood from semi-structured interview. The overall average score of SUS is 79.5, which is higher than the previous study. Hence, it is known that the usability of We’ll APP satisfied the standards. We proposed and suggested the following plans to make subsequent optimization and revision based on the feedback of the subjects during the interview: (1) Create personal pregnancy experience database for users. (2) Set up prompt reminder function. (3) Create mothers’ forum. (4) Enhance online real-time professional medical care consultation.

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Huang, D. H., Lai, S. C., Lo, L. M., Hong, T. H., & Chiou, W. K. (2020). Subjective Usability and Will of Use on mHealth Application for Postpartum Emotional Disorder - A Case of We’ll. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12423 LNCS, pp. 696–709). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60114-0_45

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