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

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.

Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US).

BACKGROUND: With the growing population of older adults as a potential user group of mHealth, the need increases for mHealth interventions to address specific aging characteristics of older adults. The existence of aging barriers to computer use is widely acknowledged. Yet, usability studies show that mHealth still fails to be appropriately designed for older adults and their expectations. To enhance designs of mHealth aimed at older adult populations, it is essential to gain insight into aging barriers that impact the usability of mHealth as experienced by these adults. OBJECTIVES: This study aims to synthesize literature on aging barriers to digital (health) computer use, and explain, map and visualize these barriers in relation to the usability of mHealth by means of a framework. METHODS: We performed a scoping review to synthesize and summarize reported physical and functional age barriers in relation to digital (mobile) health applications use. Aging barriers reported in the literature were mapped onto usability aspects categorized by Nielsen to explain their influence on user experience of mHealth. A framework (MOLD-US) was developed summarizing the evidence on the influence of aging barriers on mHealth use experienced by older adults. RESULTS: Four key categories of aging barriers influencing usability of mHealth were identified: cognition, motivation, physical ability and perception. Effective and satisfactory use of mHealth by older adults is complicated by cognition and motivation barriers. Physical ability and perceptual barriers further increase the risk of user errors and fail to notice important interaction tasks. Complexities of medical conditions, such as diminished eye sight related to diabetes or deteriorated motor skills as a result of rheumatism, can cause errors in user interaction. CONCLUSIONS: This research provides a novel framework for the exploration of aging barriers and their causes influencing mHealth usability in older adults. This framework allows for further systematic empirical testing and analysis of mHealth usability issues, as it enables results to be classified and interpreted based on impediments intrinsic to usability issues experienced by older adults. Importantly, the paper identifies a key need for future research on motivational barriers impeding mhealth use of older adults. More insights are needed in particular to disaggregating normal age related functional changes from specific medical conditions that influence experienced usefulness of mHealth by these adults.

Impact of Patient-centered eHealth Applications on Patient Outcomes: A Review on the Mediating Influence of Human Factor Issues.

OBJECTIVES: To examine the evidence of the impact of patient- centered eHealth applications on patient care and to analyze if and how reported human factor issues mediated the outcomes. METHODS: We searched PubMed (2014-2015) for studies evaluating the impact of patient-centered eHealth applications on patient care (behavior change, self-efficacy, and patient health-related outcomes). The Systems Engineering Initiative for Patient Safety (SEIPS 2.0) model was used as a guidance framework to identify the reported human factors possibly impacting the effectiveness of an eHealth intervention. RESULTS: Of the 348 potentially relevant papers, 10 papers were included for data analysis. None of the 10 papers reported a negative impact of the eHealth intervention. Seven papers involved a randomized controlled trial (RCT) study. Six of these RCTs reported a positive impact of the eHealth intervention on patient care. All 10 papers reported on human factor issues possibly mediating effects of patient-centered eHealth. Human factors involved patient characteristics, perceived social support, and (type of) interaction between patient and provider. CONCLUSION: While the amount of patient-centered eHealth interventions increases, many questions remain as to whether and to what extent human factors mediate their use and impact. Future research should adopt a formal theory-driven approach towards human factors when investigating those factors' influence on the effectiveness of these interventions. Insights could then be used to better tailor the content and design of eHealth solutions according to patient user profiles, so as to enhance eHealth interventions impact on patient behavior, self-efficacy, and health-related outcomes.

Influence of Human Factor Issues on Patient-Centered mHealth Apps' Impact; Where Do We Stand?

This paper discusses the preliminary results of a literature review on studies published in 2014-2015 concerning patient-centered mHealth applications' (apps) impact. Abstracts were included when they described a mHealth app targeted at patients and reported on the effects of this app on patient care. From a total of 559 potentially relevant articles, 17 papers were finally included. Nine studies reported a positive impact of the patient-centered mHealth app on patient care; 4 of these studies were randomized controlled trials. Measured impacts in the 17 studies focused on improving patients' physical activity, self-efficacy and medication adherence. Human factors issues potentially mediating these effects were discussed in all studies. Transitions in the interaction between healthcare providers and their patients were most often discussed as influencing the impact of the mHealth app. More research is needed, focussing on human issues mediating the effect of patient-centered mHealth apps to precipitate knowledge on the effectiveness of mHealth. This research should preferably be guided by socio-technical models.

A framework for evaluating mHealth tools for Older Patients on Usability.

Mobile health (mHealth) apps can play a significant role in supporting older patients. The aging process is yet related to progressive degradation of sensory, physical and cognitive abilities. mHealth apps with touch screen based interfaces thus need to be adapted to the, often impaired, skills and special needs of older patients. However, existing design guidelines for mHealth apps do not address the aging barriers that older users face in working with touch screen based applications. By means of a constructed conceptual framework on cognitive, motivational, physical and visual impairments of older adults, this study revealed possible aging barriers concerning identified usability issues of an mHealth app for older patients. Insights into the aging process barriers that underlie usability issues supports developers in (re)designing mHealth apps that are better attuned to the needs of the older patient population.