Tipper

Dai, Yuyu; Karalis, George; Kawas, Saba; Olsen, Chris

doi:10.1145/2702613.2732796

Cited by 8 publications

(1 citation statement)

References 5 publications

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“…We first acquainted ourselves with the basic human-computer interaction recommendations for older adults in interface design: minimal new concepts, plain language, unambiguous icons, accessible user interface, larger font and buttons, and consistent visual cues [ 29 ]. We also considered how to split information into smaller and more logical steps for more actionable tasks with less cognitive load [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing

Sien,

Kobekyaa,

Puts

et al. 2024

JMIR Aging

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Background Globally, cancer predominates in adults aged older than 60 years, and 70% of older adults have ≥1 chronic condition. Cancer self-management interventions can improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multimorbidity. Despite growing evidence of digital health tools in cancer care, there is a paucity of theoretically grounded digital self-management supports for older adults. Many apps for older adults have not been co-designed with older adults to ensure that they are tailored to their specific needs, which would increase usability and uptake. Objective We aim to report on the user evaluations of a self- and symptom-management app to support older adults living with cancer and multimorbidity. Methods This study used Grey’s self-management framework, a design thinking approach, and involved older adults with lived experiences of cancer to design a medium-fidelity app prototype. Older adults with cancer or caregivers were recruited through community organizations or support groups to participate in co-designing or evaluations of the app. Data from interviews were iteratively integrated into the design process and analyzed using descriptive statistics and thematic analyses. Results In total, 15 older adults and 3 caregivers (n=18) participated in this study: 10 participated (8 older adults and 2 caregivers) in the design of the low-fidelity prototype, and 10 evaluated (9 older adults and 1 caregiver) the medium-fidelity prototype (2 older adults participated in both phases). Participants emphasized the importance of tracking functions to make sense of information across physical symptoms and psychosocial aspects; a clear display; and the organization of notes and reminders to communicate with care providers. Participants also emphasized the importance of medication initiation or cessation reminders to mitigate concerns related to polypharmacy. Conclusions This app has the potential to support the complex health care needs of older adults with cancer, creating a “home base” for symptom management and support. The findings from this study will position the researchers to conduct feasibility testing and real-world implementation.

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Section: Methodsmentioning

confidence: 99%