Accepted for/Published in: JMIR Cancer
Date Submitted: Dec 30, 2022
Open Peer Review Period: Dec 30, 2022 - Feb 24, 2023
Date Accepted: Apr 3, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Engaging patients in the design of a mHealth diet and exercise intervention: a qualitative study among men of diverse racial/ethnic groups with advanced prostate cancer
ABSTRACT
Background:
Healthy diet and exercise can improve quality of life and prognosis in men with prostate cancer. Understanding the perceived barriers to lifestyle change and patient preferences in a diverse cohort of men with prostate cancer is necessary to inform mHealth lifestyle interventions and reduce disparities.
Objective:
We conducted the multi-site PATH study to understand Preferences, ATtitudes, and Health (PATH) behaviors related to diet and lifestyle in this patient population. This report focuses on the qualitative findings from four virtual focus groups of a racially/ethnically diverse group of advanced prostate cancer survivors.
Methods:
We used grounded theory analyses including open, axial, and selective coding to generate codes. Qualitative data were analyzed as a whole rather than by focus group to optimize data saturation and transferability of results. We present codes and themes that emerged for lifestyle intervention design and provide recommendations and considerations for future mHealth intervention research.
Results:
Fourteen men participated in racially concordant focus groups (White, n=5; Black, n=3; Hispanic/Latinx, n=3; and Asian, n=3). Analyses converged on 7 interwoven categories: 1) Context (home environment, access, competing priorities, lifestyle programs); 2) Motivation (accountability, discordance, feeling supported, fear, temptation); 3) Preparedness (health literacy, technological literacy, technological preferences, trust, readiness to change, identity, adaptability, clinical characteristics); 4) Data-driven design (education, psychosocial, quality of life); 5) Program mechanics (communication, materials, customization, holistic); 6) Habits, and 7) Impressions.
Conclusions:
These data support a tailored approach leveraging the identified components and their interrelationships to ensure that mHealth lifestyle interventions will engage and be effective in diverse patients with a cancer diagnosis.
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.