Accepted for/Published in: JMIR Human Factors
Date Submitted: Jan 19, 2025
Date Accepted: Jul 10, 2025
Symptom management preference and persona development for mobile health design targeting Chinese elderly patients with breast cancer
ABSTRACT
Background:
Mobile health (mHealth) for breast cancer care can greatly benefit patients’ symptom management. Although research supports the effectiveness of mHealth, elderly patients with breast cancer often face difficulties using it, hindering them from accessing effective symptom management possibilities. The needs for mHealth among this population must be understood to provide insights into mHealth design.
Objective:
To better understand the symptom management needs using mHealth for Chinese elderly patients with breast cancer and use the approach of personas to inform the mHealth design.
Methods:
This was a descriptive qualitative study. Seventeen patients with breast cancer over 60 years of age were recruited from tertiary hospitals in Shanghai, China, using purposive sampling. Data were collected through one-on-one interviews. Content analysis was used to identify the factors that influence participants’ symptom management needs using mHealth. The categories of influencing factors of needs informed the persona template guiding the development of personas.
Results:
We identified three major categories affecting participants’ needs for mHealth, including social interaction patterns, mHealth literacy, and symptoms. The following five personas were developed: (1) Positive Manager, (2) Dependent Parent, (3) Management Isolationist, (4) Image Manager, and (5) Clinician Dependent. We provide insights into how these personas can be used when designing and implementing mHealth for symptom management support.
Conclusions:
Key factors influencing symptom management needs using mHealth among Chinese elderly patients with breast cancer and personas developed based on that can foster a better understanding of this population and initiate future mHealth design and implementation.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.