A smartphone-based mobile health app to address the adverse effects of androgen deprivation therapy in men with prostate cancer
Cole AP, Pucheril DT, Sun M, Fletcher SA, Berry DL, Nguyen PL, Sweeney C, Menon M, Kibel AS, and Trinh QD. A smartphone-based mobile health app to address the adverse effects of androgen deprivation therapy in men with prostate cancer. Eur Urol Suppl 2019; 18(1):e849-e850.
Eur Urol Suppl
Introduction & Objectives: Herein we describe our experience in the design and development of a mobile health app to address metabolic effects for men treated with androgen deprivation therapy (ADT)for prostate cancer. Materials & Methods: The mobile health app is aimed to mitigate the metabolic effects of ADT in men newly treated with ADT. In developing the mobile health app, we sought to include: 1)patient's level of engagement in his own health care, 2)physical activities, 3)dietary regimen. The physical activities facet will encourage participants to exercise with daily reminders. The dietary facet will prompt participants to keep a log of their food and require them to rate the ‘healthiness’ of their food. The mobile health app was designed and developed by an independent contractor allowing patient data to be stored at hospital servers. Our independent contractor acquired the Health Insurance Portability and Accountability Act (HIPAA; a set of standards for protecting sensitive patient data)compliance on its own Results: The design and development of the mobile health app was primarily two-step. First, we had to provide the independent contractor with the study (e.g. how patients are recruited, when baseline measures will be taken)and the schematics of what we envision the mobile health app to contain in terms of content (e.g. on-boarding questionnaires, exercise facet, dietary facet). Second, the independent contractor provided us with the “wire-frames” of the clinician/researcher dashboard and the app itself prior to creating the app (Figures). The current version of the mobile health app requires patients to record and track their daily exercises and food intake. Furthermore the participants are able to rate their food as ‘unhealthy’ (red), ‘adequately healthy’ (yellow), and ‘healthy’ (green). The app generates a line chart of their average exercise time per week, as well as a pie chart of the proportion of healthy food. In addition to direct data collection, researchers can also perform survey assessments as well as chart reviews, which can be merged with in-app data. [Figure presented]Conclusions: The mobile health app was successfully developed. The app will now undergo a heuristic evaluation based on usability principles by 5 independent clinicians and 5 prostate cancer patients using a mock session prior to app deployment.