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Parkinson mpower app

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https://www.readbyqxmd.com/read/28209557/formative-evaluation-of-participant-experience-with-mobile-econsent-in-the-app-mediated-parkinson-mpower-study-a-mixed-methods-study
#1
Megan Doerr, Amy Maguire Truong, Brian M Bot, John Wilbanks, Christine Suver, Lara M Mangravite
BACKGROUND: To fully capitalize on the promise of mobile technology to enable scalable, participant-centered research, we must develop companion self-administered electronic informed consent (eConsent) processes. As we do so, we have an ethical obligation to ensure that core tenants of informed consent-informedness, comprehension, and voluntariness-are upheld. Furthermore, we should be wary of recapitulating the pitfalls of "traditional" informed consent processes. OBJECTIVE: Our objective was to describe the essential qualities of participant experience, including delineation of common and novel themes relating to informed consent, with a self-administered, smartphone-based eConsent process...
February 16, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/26938265/the-mpower-study-parkinson-disease-mobile-data-collected-using-researchkit
#2
Brian M Bot, Christine Suver, Elias Chaibub Neto, Michael Kellen, Arno Klein, Christopher Bare, Megan Doerr, Abhishek Pratap, John Wilbanks, E Ray Dorsey, Stephen H Friend, Andrew D Trister
Current measures of health and disease are often insensitive, episodic, and subjective. Further, these measures generally are not designed to provide meaningful feedback to individuals. The impact of high-resolution activity data collected from mobile phones is only beginning to be explored. Here we present data from mPower, a clinical observational study about Parkinson disease conducted purely through an iPhone app interface. The study interrogated aspects of this movement disorder through surveys and frequent sensor-based recordings from participants with and without Parkinson disease...
March 3, 2016: Scientific Data
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