Systematic Review of Randomized Controlled Trials of Exercise Interventions Using Digital Activity Trackers in Patients With Cancer

Schaffer, Kerry; Panneerselvam, Narmadha; Loh, Kah Poh; Herrmann, Rachel; Kleckner, Ian R.; Dunne, Richard F.; Lin, Po‐Ju; Heckler, Charles E.; Gerbino, Nicholas; Bruckner, Lauren; Storozynsky, Eugene; Ky, Bonnie; Baran, Andrea; Mohile, Supriya G.; Mustian, Karen M.; Fung, Chunkit

doi:10.6004/jnccn.2018.7082

Cited by 57 publications

(50 citation statements)

References 64 publications

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“…Because wearable devices offer data and feedback directly to patients, these tools are also used to promote physical activity among cancer patients and survivors 32 . Two recent reviews of studies using wearable devices to promote activity among cancer survivors found that interventions using wearable activity monitors had a positive impact on physical activity as well as symptoms and quality of life 33 , 34 . Moreover, real-time wearable device data may allow for tailored or just-in-time physical activity interventions 35 that may be further enhanced by the support of a coach who can review a patient’s real-time data and provide individualized support for behavior change 36 .…”

Section: Consumer Wearable Devices In Oncology Researchmentioning

confidence: 99%

Harnessing consumer smartphone and wearable sensors for clinical cancer research

Low

2020

npj Digit. Med.

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As smartphones and consumer wearable devices become more ubiquitous, there is a growing opportunity to capture rich mobile sensor data continuously, passively, and in real-world settings with minimal burden. In the context of cancer, changes in these passively sensed digital biomarkers may reflect meaningful variation in functional status, symptom burden, quality of life, and risk for adverse clinical outcomes. These data could enable real-time remote monitoring of patients between clinical encounters and more proactive, comprehensive, and personalized care. Over the past few years, small studies across a variety of cancer populations support the feasibility and potential clinical value of mobile sensors in oncology. Barriers to implementing mobile sensing in clinical oncology care include the challenges of managing and making sense of continuous sensor data, patient engagement issues, difficulty integrating sensor data into existing electronic health systems and clinical workflows, and ethical and privacy concerns. Multidisciplinary collaboration is needed to develop mobile sensing frameworks that overcome these barriers and that can be implemented at large-scale for remote monitoring of deteriorating health during or after cancer treatment or for promotion and tailoring of lifestyle or symptom management interventions. Leveraging digital technology has the potential to enrich scientific understanding of how cancer and its treatment affect patient lives, to use this understanding to offer more timely and personalized support to patients, and to improve clinical oncology outcomes.

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Section: Consumer Wearable Devices In Oncology Researchmentioning

confidence: 99%

Harnessing consumer smartphone and wearable sensors for clinical cancer research

Low

2020

npj Digit. Med.

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“…Ambulatory physiological recordings have also demonstrated utility performing dynamic assessments of symptoms over time in patients with cancer (Savard et al, 2013), Parkinson's disease (Moore et al, 2008), Autism Spectrum Disorder (Goodwin et al, 2019), borderline personality disorder (Ebner-Priemer et al, 2008), and seizures (Michel et al, 2015). Telemetric devices are also beginning to be used to deliver interventions to treat symptoms or disease (e.g., exercise interventions for patients with cancer; Schaffer et al, 2019).…”

Section: Framework For Selecting and Benchmarking Mobile Devices In Pmentioning

confidence: 99%

Framework for Selecting and Benchmarking Mobile Devices in Psychophysiological Research

Kleckner¹,

Feldman²,

Goodwin³

et al. 2019

Preprint

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Commercially available consumer electronics (smartwatches and wearable biosensors) are increasingly enabling acquisition of peripheral physiological and physical activity data inside and outside of laboratory settings. However, there is scant literature available for selecting and assessing the suitability of these novel devices for scientific use. To overcome this limitation, the current paper offers a framework to aid researchers in choosing and evaluating wearable technologies for use in empirical research. Our seven-step framework includes: (1) identifying signals of interest; (2) characterizing intended use cases; (3) identifying study-specific pragmatic needs; (4) selecting devices for evaluation; (5) establishing an assessment procedure; (6) performing qualitative and quantitative analyses on resulting data; and, if desired, (7) conducting power analyses to determine sample size needed to more rigorously compare performance across devices. We illustrate the application of the framework by comparing electrodermal, cardiovascular, and accelerometry data from a variety of commercial wireless sensors (Affectiva Q, Empatica E3, Empatica E4, Actiwave Cardio, Shimmer) relative to a well-validated, wired Mindware laboratory system. Our evaluations are performed in two studies (N=10, N=11) involving psychometrically sound, standardized tasks that include physical activity and affect induction. After applying our framework to this data, we conclude that only some commercially available consumer devices for physiological measurement are capable of wirelessly measuring peripheral physiological and physical activity data of sufficient quality for scientific use cases. Thus, the framework appears to be beneficial at suggesting steps for conducting more systematic, transparent, and rigorous evaluations of mobile physiological devices prior to deployment in studies.

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“…However, these technologies are still in the very early stages of development and adoption in breast cancer rehabilitation. To date, innovations have mainly focused on physical activity interventions [ 40 - 42 ], lymphedema management [ 28 ], psychological well-being [ 43 ], and general survivorship care [ 29 , 44 ]. Very few interventions concentrate on physiotherapy rehabilitation exercises.…”

Section: Introductionmentioning

confidence: 99%

Patient Experiences of Rehabilitation and the Potential for an mHealth System with Biofeedback After Breast Cancer Surgery: Qualitative Study

Brennan¹,

Kessie²,

Caulfield³

2020

JMIR Mhealth Uhealth

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Background Physiotherapy-led home rehabilitation after breast cancer surgery can protect against the development of upper limb dysfunction and other disabling consequences of surgery. A variety of barriers can limit physical rehabilitation outcomes, and patients may benefit from more support during this time. Mobile health (mHealth) systems can assist patients during rehabilitation by providing exercise support, biofeedback, and information. Before designing mHealth systems for a specific population, developers must first engage with users to understand their experiences and needs. Objective The aims of this study were to explore patients’ rehabilitation experiences and unmet needs during home rehabilitation after breast cancer surgery and to understand their experiences of mHealth technology and the requirements they desire from an mHealth system. Methods This was the first stage of a user-centered design process for an mHealth system. We interviewed 10 breast cancer survivors under the two main topics of “Rehabilitation” and “Technology” and performed a thematic analysis on the interview data. Results Discussions regarding rehabilitation focused on the acute and long-term consequences of surgery; unmet needs and lack of support; self-driven rehabilitation; and visions for high-quality rehabilitation. Regarding technology, participants reported a lack of mHealth options for this clinical context and using non-cancer–specific applications and wearables. Participants requested an mHealth tool from a reliable source that provides exercise support. Conclusions There are unmet needs surrounding access to physiotherapy, information, and support during home rehabilitation after breast cancer surgery that could be addressed with an mHealth system. Breast cancer survivors are open to using an mHealth system and require that it comes from a reliable source and focuses on supporting exercise performance.

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Systematic Review of Randomized Controlled Trials of Exercise Interventions Using Digital Activity Trackers in Patients With Cancer

Cited by 57 publications

References 64 publications

Harnessing consumer smartphone and wearable sensors for clinical cancer research

Harnessing consumer smartphone and wearable sensors for clinical cancer research

Framework for Selecting and Benchmarking Mobile Devices in Psychophysiological Research

Patient Experiences of Rehabilitation and the Potential for an mHealth System with Biofeedback After Breast Cancer Surgery: Qualitative Study

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