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Digital solutions, real-world challenges: lessons from mHealth trials in oncology
Dominique G Stuijt1,2,3, Igor Radanovic2, Vasileios Exadaktylos2
1Department of Medical Oncology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Mobile health (mHealth) technologies offer promise in oncology care, but research faces design and implementation hurdles. This review highlights key challenges and offers recommendations for future mHealth oncology studies.
Area of Science:
- Oncology
- Digital Health
- Clinical Research
Background:
- Mobile health (mHealth) technologies, including wearables and apps, are increasingly used in oncology to enhance patient quality of life, treatment adherence, and survival.
- Despite their potential, mHealth research in oncology faces significant challenges in study design and implementation.
- This article draws on experiences from three oncology mHealth studies (eBladder, CHOPIN, LAPSTAR) to identify these obstacles.
Purpose of the Study:
- To identify and categorize key challenges encountered in designing and implementing mHealth studies in oncology.
- To provide practical recommendations for researchers to overcome these obstacles in future mHealth oncology research.
- To inform the development of more robust and effective mHealth interventions for cancer patients.
Main Methods:
- The study identifies obstacles by analyzing preliminary experiences from three ongoing mHealth oncology studies: eBladder, CHOPIN, and LAPSTAR.
- Obstacles are categorized into four main areas: planning and design, technology set-up and study execution, adherence, and data reliability.
- The article synthesizes these experiences to offer practical recommendations for future research.
Main Results:
- Key challenges include determining appropriate follow-up durations, defining digital support as an endpoint, managing treatment heterogeneity, ensuring device accuracy, and addressing privacy concerns.
- Adherence issues are linked to platform integration, balancing active and passive measurements, and considering patient mHealth literacy.
- Data reliability is impacted by real-time adverse event capture and device accuracy.
Conclusions:
- mHealth research in oncology is promising but requires careful consideration of design, technology, adherence, and data reliability challenges.
- Addressing these identified obstacles through practical recommendations can facilitate the successful implementation of future mHealth studies.
- Effective mHealth integration in oncology necessitates a strategic approach to overcome current research limitations and maximize patient benefits.
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