Abstract

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.

Highlights

  • Published studies indicate that mobile health interventions are beneficial for patients across various diseases and age groups [1,2,3,4]

  • It offers a novel framework to generate unique insights into multifaceted phenomena related to mobile health (mHealth) usability. Understanding these practices can help developers and researchers leverage the strengths of an integrated mixed-methods design

  • Owing to the iterative nature of usability testing, we propose a new variation of the convergent design for mHealth, namely, the iterative convergent mixed-methods design

Read more

Summary

Introduction

Published studies indicate that mobile health (mHealth) interventions are beneficial for patients across various diseases and age groups [1,2,3,4]. Patients express an interest in using mHealth to manage their health and chronic conditions, many current mHealth interventions are difficult to use [5]. Recent advances allow seamless integration between smartphones and medical devices. This integration enables smartphones to store and analyze objective measurements such as heart rate, lung volume, and medication adherence. Advancements in machine learning and artificial intelligence have the potential to use these measurements, in combination with data collected via smartphones, to improve our understanding of disease etiology [11,12]

Objectives
Methods
Findings
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call