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The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach

Although patients express an interest in using mobile health (mHealth) interventions to manage their health and chronic conditions, many current mHealth interventions are difficult to use. Usability testing is critical for the success of novel mHealth interventions. Researchers recognize the utility...

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Detalles Bibliográficos
Autores principales: Alwashmi, Meshari F, Hawboldt, John, Davis, Erin, Fetters, Michael D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658163/
https://www.ncbi.nlm.nih.gov/pubmed/31025951
http://dx.doi.org/10.2196/11656
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author Alwashmi, Meshari F
Hawboldt, John
Davis, Erin
Fetters, Michael D
author_facet Alwashmi, Meshari F
Hawboldt, John
Davis, Erin
Fetters, Michael D
author_sort Alwashmi, Meshari F
collection PubMed
description Although patients express an interest in using mobile health (mHealth) interventions to manage their health and chronic conditions, many current mHealth interventions are difficult to use. Usability testing is critical for the success of novel mHealth interventions. Researchers recognize the utility of using qualitative and quantitative approaches for usability testing, but many mHealth researchers lack the awareness of integration approaches from advances in mixed methods research that can add value to mHealth technology. As efficient usability testing proceeds iteratively, we introduce a novel mixed methods design developed specifically for mHealth researchers. The iterative convergent mixed methods design involves simultaneous qualitative and quantitative data collection and analysis that continues cyclically through multiple rounds of mixed methods data collection and analysis until the mHealth technology under evaluation is found to work to the satisfaction of the researcher. In cyclical iterations, early development is more qualitatively driven but progressively becomes more quantitatively driven. Using this design, mHealth researchers can leverage mixed methods integration procedures in the research question, data collection, data analysis, interpretation, and dissemination dimensions. This study demonstrates how the iterative convergent mixed methods design provides a novel framework for generating unique insights into multifaceted phenomena impacting mHealth usability. Understanding these practices can help developers and researchers leverage the strengths of an integrated mixed methods design.
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spelling pubmed-66581632019-07-31 The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach Alwashmi, Meshari F Hawboldt, John Davis, Erin Fetters, Michael D JMIR Mhealth Uhealth Viewpoint Although patients express an interest in using mobile health (mHealth) interventions to manage their health and chronic conditions, many current mHealth interventions are difficult to use. Usability testing is critical for the success of novel mHealth interventions. Researchers recognize the utility of using qualitative and quantitative approaches for usability testing, but many mHealth researchers lack the awareness of integration approaches from advances in mixed methods research that can add value to mHealth technology. As efficient usability testing proceeds iteratively, we introduce a novel mixed methods design developed specifically for mHealth researchers. The iterative convergent mixed methods design involves simultaneous qualitative and quantitative data collection and analysis that continues cyclically through multiple rounds of mixed methods data collection and analysis until the mHealth technology under evaluation is found to work to the satisfaction of the researcher. In cyclical iterations, early development is more qualitatively driven but progressively becomes more quantitatively driven. Using this design, mHealth researchers can leverage mixed methods integration procedures in the research question, data collection, data analysis, interpretation, and dissemination dimensions. This study demonstrates how the iterative convergent mixed methods design provides a novel framework for generating unique insights into multifaceted phenomena impacting mHealth usability. Understanding these practices can help developers and researchers leverage the strengths of an integrated mixed methods design. JMIR Publications 2019-04-26 /pmc/articles/PMC6658163/ /pubmed/31025951 http://dx.doi.org/10.2196/11656 Text en ©Meshari F Alwashmi, John Hawboldt, Erin Davis, Michael D Fetters. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 26.04.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Alwashmi, Meshari F
Hawboldt, John
Davis, Erin
Fetters, Michael D
The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach
title The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach
title_full The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach
title_fullStr The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach
title_full_unstemmed The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach
title_short The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach
title_sort iterative convergent design for mobile health usability testing: mixed methods approach
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658163/
https://www.ncbi.nlm.nih.gov/pubmed/31025951
http://dx.doi.org/10.2196/11656
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