Consumer Health Informatics: Empowering Healthy-Living-Seekers Through mHealth

Faiola, Anthony; Holden, Richard J.

doi:10.1016/j.pcad.2016.12.006

Cited by 32 publications

(21 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These and other biopsychosocial factors play a complicated role in determining the value of IT for older adults with heart failure and other conditions [29, 61], which means they must be considered by eHealth designers. The complex identities and contexts of patients and other health-seekers is one reason multidimensional personas and other UCD methods have been recommended in the domain of health and healthcare [6, 62]. …”

Section: Discussionmentioning

confidence: 99%

Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure

Holden

Kulanthaivel

Purkayastha

et al. 2017

International Journal of Medical Informatics

Self Cite

109

101

View full text Add to dashboard Cite

Background Personas are a canonical user-centered design method increasingly used in health informatics research. Personas—empirically-derived user archetypes—can be used by eHealth designers to gain a robust understanding of their target end users such as patients. Objective To develop biopsychosocial personas of older patients with heart failure using quantitative analysis of survey data. Method Data were collected using standardized surveys and medical record abstraction from 32 older adults with heart failure recently hospitalized for acute heart failure exacerbation. Hierarchical cluster analysis was performed on a final dataset of n=30. Nonparametric analyses were used to identify differences between clusters on 30 clustering variables and seven outcome variables. Results Six clusters were produced, ranging in size from two to eight patients per cluster. Clusters differed significantly on these biopsychosocial domains and subdomains: demographics (age, sex); medical status (comorbid diabetes); functional status (exhaustion, household work ability, hygiene care ability, physical ability); psychological status (depression, health literacy, numeracy); technology (internet availability); healthcare system (visit by home healthcare, trust in providers); social context (informal caregiver support, cohabitation, marital status); and economic context (employment status). Tabular and narrative persona descriptions provide an easy reference guide for informatics designers. Discussion Personas development using approaches such as clustering of structured survey data is an important tool for health informatics professionals. We describe insights from our study with heart failure patients, then recommended a generic ten-step personas development process. Methods strengths and limitations of the study and of personas development generally are discussed.

show abstract

Section: Discussionmentioning

confidence: 99%

Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure

Holden

Kulanthaivel

Purkayastha

et al. 2017

International Journal of Medical Informatics

Self Cite

109

101

View full text Add to dashboard Cite

show abstract

“…Thus, Study 2 helped develop fuller accounts of how the system might be used, what issues might arise over time, and how the system did or did not accommodate the lived reality of illness self-management (Valdez, Holden, Novak, & Veinot, 2015). This is necessary to design mHealth applications meant to achieve long-term behavior change through extended use (Abedtash & Holden, 2017; Faiola & Holden, 2017).…”

Section: Discussionmentioning

confidence: 99%

User-Centered Evaluations with Older Adults: Testing the Usability of a Mobile Health System for Heart Failure Self-Management

Cornet

Daley

Srinivas

et al. 2017

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

Many older adults living with heart failure struggle to follow recommended self-management routines. To help older adults with heart failure more effectively and efficiently self-manage their disease, we developed Engage, a mobile health application promoting the performance, logging, and sharing of routine self-management behaviors. This paper reports on the usability evaluation of the Engage system with 15 older adults with heart failure and informal caregivers. In two phases, participants used Engage during a task-based usability test (n=5) and a scenario-based usability test (n=10). Usability and performance data were assessed through video-recorded observation and the administration of the system usability scale (SUS) and NASA Task Load Index (TLX). We found that task-based testing was useful in quickly identifying problems within our application, but scenario-based testing elicited more valuable feedback from older adults. A comparison of the different evaluation methods used and the discussion of the challenges encountered provide multiple implications for the practice of usability testing of mobile health products with older adults.

show abstract

“…There is increased attention from health care providers and decision makers to leverage M-Health to provide service for underserved communities and individuals. [136][137][138] Nonetheless, with hundreds of M-Health apps available in the digital market, patients, caregivers, and health care providers need guidance on identifying apps that provide good information, provide good service, and are easy to use, safe, secure, and effective.…”

Section: Implications For Practicementioning

confidence: 99%

The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation

2019

View full text Add to dashboard Cite

Background The potential benefit of mobile health (M-Health) in developing countries for improving the efficiency of health care service delivery, health care quality, and patient safety, as well as reducing cost, has been increasingly recognized and emphasized in the last few years. Objective Limited research has investigated the facilitators and barriers for the adoption of M-Health in developing countries to secure successful implementation of the technology. To fill this knowledge gap, we propose an integrative model that explains the patient's adoption behavior of M-Health in developing countries grounded on the unified theory of acceptance and use of technology, dual-factor model, and health belief model. Method We empirically tested and evaluated the model based on data collected using a survey method from 280 patients living in a developing country. Partial least squares (PLS-SEM) technique was used for data analysis. Results The results showed that performance expectancy, effort expectancy, social influence, perceived health threat, M-Health app quality, and life quality expectancy have a direct positive effect on patients’ intention to use M-Health. The results also showed that security and privacy risks have a direct negative effect on the patient's intention to use M-Health. However, resistance to change was found to have an indirect negative effect on patients’ intention to use M-Health through the performance expectancy. Conclusion The research contributes to the existing literature of health information systems and M-Health by better understanding how technological, social, and functional factors are associated with digital health applications and services use and success in the context of developing countries. With the widespread availability of mobile technologies and services and the growing demand for M-Health apps, this research can help guide the development of the next generation of M-Health apps with a focus on the needs of patients in developing countries. The research has several theoretical and practical implications for the health care industry, government, policy makers, and technology developers and designers.

show abstract

Consumer Health Informatics: Empowering Healthy-Living-Seekers Through mHealth

Cited by 32 publications

References 47 publications

Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure

Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure

User-Centered Evaluations with Older Adults: Testing the Usability of a Mobile Health System for Heart Failure Self-Management

The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation

Contact Info

Product

Resources

About