Mobile health for older adult patients: Using an aging barriers framework to classify usability problems.

ABSTRACT

BACKGROUND: With populations aging, digital health tools and mobile health applications (mHealth) are becoming more common to assist older people in independent living and self-management of (chronic) illnesses. These mHealth services can be beneficial to older patients, provided that they are adjusted to their needs and characteristics, as the current mHealth landscape lacks user-friendly services for this target group. Understanding of intrinsic aging barriers, which cause and impact usability problems older patients encounter, is needed to achieve this. OBJECTIVES: This study set out to assess usability problems older patients encounter in two mHealth apps and aims to show the value of MOLD-US, a recent aging barriers framework, as a classification tool to identify the intrinsic cause of these problems. METHOD: A case-study design, with in-depth analysis of usability issues older adult patients' experience. Data on usability issues were collected using the Think Aloud Protocol for two mHealth apps. The MOLD-US framework and Nielsen's severity rating were used to classify identified issues and their potential impact. RESULTS: In total 28 high severe usability issues of the mHealth apps were identified. Core natures of most issues were related to motivational and cognitive barriers of older adults. Participants had difficulties in understanding the navigation structure of the apps. Important text, buttons and icon elements were overseen. CONCLUSION: Current knowledge on creating interfaces for older target groups is not well applied within the assessed mHealth designs. Specifically, design guidelines should address older adults' diminishing cognition skills, physical ability and motivational barriers. By classifying usability problems with MOLD-US, insights on these barriers can be enhanced to adequately address these issues in new designs. In addition, we propose that future research focuses on investigating suitable usability evaluation methods adapted to older patients' characteristics to ultimately be able to gain unbiased sight on usability issues older patients may experience while interacting with technology.