Purpose: Adherence to antiretroviral therapy is essential to HIV management and sustaining viral suppression. Despite simplified regimens, adherence remains difficult for certain persons living with HIV (PLWH). There is evidence to support the use of mHealth apps for effective self-management in PLWH; however, a medication adherence app with real-time monitoring for this population has not been developed and rigorously evaluated by PLWH. We developed a mHealth app (WiseApp) for HIV self-management to help PLWH self-manage their health. The purpose of this study was to evaluate the usability of the WiseApp.
Methods: We conducted a three-step usability evaluation using 1) a traditional think-aloud protocol with end-users, 2) a heuristic evaluation with experts in informatics, and 3) a cognitive walkthrough with end-users. During the cognitive walkthrough, we tested two devices (fitness tracker and medication tracking bottle) that were linked to the WiseApp.
Results: The think-aloud protocol informed iterative updates to the app, specifically to make it easier to see different sections of the app. The heuristic evaluation confirmed the necessity of these design changes. The cognitive walkthrough informed additional updates and confirmed that overall, the app and the linked devices were usable for the end-users.
Conclusion: The results of the cognitive walkthrough with both experts and end-users informed iterative refinements to the WiseApp and finalization of a mHealth app for PLWH to better self-manage their health.
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http://dx.doi.org/10.1016/j.ijmedinf.2018.11.012 | DOI Listing |
PLOS Digit Health
January 2025
School of Nursing, McMaster University, Hamilton, Ontario, Canada.
The multicomponent Remission Evaluation of Medical Interventions in T2D (REMIT) program has shown reduction of hazard of diabetes relapse by 34-43%, but could benefit from improved ability to scale, spread, and sustain it. This study explored, at the conceptualization phase, patient and health coach perspectives on the acceptability, adoption, feasibility, and appropriateness of a digital REMIT adaptation (diabetes technology enabled coaching (DTEC)). Twelve semi-structured interviews were conducted with patients (n = 6) and health coaches (n = 6) to explore their experiences with the REMIT study, opportunities for virtualisation, and a cognitive walkthrough of solution concepts.
View Article and Find Full Text PDFJMIR Aging
January 2025
Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.
Background: Many members of Black American communities, faced with the high prevalence of Alzheimer disease and related dementias (ADRD) within their demographic, find themselves taking on the role of informal caregivers. Despite being the primary individuals responsible for the care of individuals with ADRD, these caregivers often lack sufficient knowledge about ADRD-related health literacy and feel ill-prepared for their caregiving responsibilities. Generative AI has become a new promising technological innovation in the health care domain, particularly for improving health literacy; however, some generative AI developments might lead to increased bias and potential harm toward Black American communities.
View Article and Find Full Text PDFJ Particip Med
December 2024
Division of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands.
Background: The global shift toward plant-based diets has been increasing, with more people making the transition for various reasons. In vulnerable subgroups such as older adults, the transition to plant-based diets deserves attention due to the potentially detrimental consequences of lower protein quantity and quality.
Objective: We aimed to develop a digital tool that ensures adequate protein quality in plant-based meals for older adults experiencing low protein intake through an interdisciplinary collaboration and user engagement with potential end users.
Diagnostics (Basel)
November 2024
Center for Health Technology and Services Research (CINTESIS), 4200-450 Porto, Portugal.
: Obstructive sleep apnea (OSA) classification relies on polysomnography (PSG) results. Current guidelines recommend the development of clinical prediction algorithms in screening prior to PSG. A recent intuitive and user-friendly tool (OSABayes), based on a Bayesian network model using six clinical variables, has been proposed to quantify the probability of OSA.
View Article and Find Full Text PDFJMIR Form Res
November 2024
Department of Psychiatry, University of Illinois Chicago, Chicago, IL, United States.
Background: Young Black male individuals are 24 times more likely to be impacted by firearm injuries and homicides but encounter significant barriers to care and service disengagement, even in program-rich cities across the United States, leaving them worryingly underserved. Existing community-based interventions focus on secondary and tertiary prevention after firearm violence has occurred and are typically deployed in emergency settings. To address these service and uptake issues, we developed BrotherlyACT-a nurse-led, culturally tailored, multicomponent app-to reduce the risk and effects of firearm injuries and homicides and to improve access to precrisis and mental health resources for young Black male individuals (aged 15-24 years) in low-resource and high-violence settings.
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