Detecting user experience issues from mHealth apps that support stroke caregiver needs: an analysis of user reviews

Frontiers in Public Health

Public Health

Lene J. Rasmussen¹  Finn Kensing²  Anne Frølich³  Patricia M. Livingston⁴  John Grundy⁵  Sheikh Mohammed Shariful Islam⁶  Mohamed Abdelrazek⁷  Elton H. Lobo⁸ 

[1]Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark

[2]Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark

[3]Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

[4]Department of Public Health, University of Copenhagen, Copenhagen, Denmark

[5]Innovation and Research Center for Multimorbidity, Slagelse Hospital, Slagelse, Denmark

[6]Faculty of Health, Deakin University, Geelong, VIC, Australia

[7]Faculty of Information Technology, Monash University, Clayton, VIC, Australia

[8]Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia

[9]School of Information Technology, Deakin University, Geelong, VIC, Australia

[10]School of Information Technology, Deakin University, Geelong, VIC, Australia

[11]Department of Public Health, University of Copenhagen, Copenhagen, Denmark

关键词: mHealth;    APP;    stroke;    caregiver;    user experience;    needs;    design;   

DOI  :  10.3389/fpubh.2023.1027667

 received in 2022-08-25, accepted in 2023-05-05,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundExisting research has demonstrated the potential of mHealth apps in improving the caregiving outcomes of stroke. Since most of the apps were published in commercially available app stores without explaining their design and evaluation processes, it is necessary to identify the user experience issues to promote long-term adherence and usage.ObjectiveThe purpose of this study was to utilize published user reviews of commercially available apps to determine the user experience issues to guide future app development in stroke caregiving.MethodsUser reviews were extracted from the previously identified 46 apps that support stroke caregiving needs using a python-scraper. The reviews were pre-processed and filtered using python scripts to consider English reviews that described issues faced by the user. The final corpus was categorized based on TF-IDF vectorization and k-means clustering technique, and the issues extracted from the various topics were classified based on the seven dimensions of user experience to highlight factors that may affect the usage of the app.ResultsA total of 117,364 were extracted from the two app stores. After filtration, 13,368 reviews were included and classified based on the user experience dimensions. Findings highlight critical issues that affect the usability, usefulness, desirability, findability, accessibility, credibility, and value of the app that contribute to decreased satisfaction and increased frustration.ConclusionThe study identified several user experience issues due to the inability of the app developers to understand the needs of the user. Further, the study describes the inclusion of a participatory design approach to promote an improved understanding of user needs; therefore, limiting any issues and ensuring continued use.

【 授权许可】

Unknown   
Copyright © 2023 Lobo, Abdelrazek, Frølich, Rasmussen, Livingston, Islam, Kensing and Grundy.