Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement-the Mobilise-D study protocol.

BACKGROUND: The development of optimal strategies to treat impaired mobility related to ageing and chronic disease requires better ways to detect and measure it. Digital health technology, including body worn sensors, has the potential to directly and accurately capture real-world mobility. Mobilise-D consists of 34 partners from 13 countries who are working together to jointly develop and implement a digital mobility assessment solution to demonstrate that real-world digital mobility outcomes have the potential to provide a better, safer, and quicker way to assess, monitor, and predict the efficacy of new interventions on impaired mobility. The overarching objective of the study is to establish the clinical validity of digital outcomes in patient populations impacted by mobility challenges, and to support engagement with regulatory and health technology agencies towards acceptance of digital mobility assessment in regulatory and health technology assessment decisions. METHODS/DESIGN: The Mobilise-D clinical validation study is a longitudinal observational cohort study that will recruit 2400 participants from four clinical cohorts. The populations of the Innovative Medicine Initiative-Joint Undertaking represent neurodegenerative conditions (Parkinson's Disease), respiratory disease (Chronic Obstructive Pulmonary Disease), neuro-inflammatory disorder (Multiple Sclerosis), fall-related injuries, osteoporosis, sarcopenia, and frailty (Proximal Femoral Fracture). In total, 17 clinical sites in ten countries will recruit participants who will be evaluated every six months over a period of two years. A wide range of core and cohort specific outcome measures will be collected, spanning patient-reported, observer-reported, and clinician-reported outcomes as well as performance-based outcomes (physical measures and cognitive/mental measures). Daily-living mobility and physical capacity will be assessed directly using a wearable device. These four clinical cohorts were chosen to obtain generalizable clinical findings, including diverse clinical, cultural, geographical, and age representation. The disease cohorts include a broad and heterogeneous range of subject characteristics with varying chronic care needs, and represent different trajectories of mobility disability. DISCUSSION: The results of Mobilise-D will provide longitudinal data on the use of digital mobility outcomes to identify, stratify, and monitor disability. This will support the development of widespread, cost-effective access to optimal clinical mobility management through personalised healthcare. Further, Mobilise-D will provide evidence-based, direct measures which can be endorsed by regulatory agencies and health technology assessment bodies to quantify the impact of disease-modifying interventions on mobility. TRIAL REGISTRATION: ISRCTN12051706.

Accelerating Adoption of Patient-Facing Technologies in Clinical Trials: A Pharmaceutical Industry Perspective on Opportunities and Challenges.

BACKGROUND: Patient-facing digital technologies (also called "Patient Technology" [PT]) have the potential to serve a variety of functions in clinical trials, such as capturing clinical endpoints, engaging patients, and facilitating remote study conduct. However, these technologies are not yet accepted as mainstream research tools, and the opportunities, challenges, and facilitators associated with their implementation in clinical trials have not been fully characterized. METHODS: In order to understand the factors affecting PT adoption, the TransCelerate Patient Technology Initiative conducted a series of surveys, interviews, and focus groups with approximately 600 subject matter experts, including pharmaceutical company representatives, clinical trial investigators at a number of trial sites worldwide, and clinical trial participants. All interview and survey responses were blinded and aggregated by a third-party consultant and themes were extracted. RESULTS: There was general consensus around the potential value of patient-facing technology as a clinical research tool, though a variety of challenges faced by each stakeholder were discussed. Detailed accounts of opportunities (improved patient experience, compliance, and engagement; clinical trial efficiencies; improved data quality and insights) and barriers (organizational and corporate cultural challenges, business-related challenges, user willingness and burden, and regulatory challenges) are reported. CONCLUSIONS: While the barriers to PT adoption explored here were numerous, they were also generally consistent. A number of proposals for establishing more holistic, collaborative, and strategic approaches to PT implementation in clinical trials are discussed. Such approaches could facilitate more effective, widespread adoption of PT, and thereby a more patient-centric clinical trial paradigm.