Biomedical Research and Informatics Living Laboratory for Innovative Advances of New Technologies in Community Mobility Rehabilitation: Protocol for Evaluation and Rehabilitation of Mobility Across Continuums of Care
- PMID: 35648455
- PMCID: PMC9201706
- DOI: 10.2196/12506
Biomedical Research and Informatics Living Laboratory for Innovative Advances of New Technologies in Community Mobility Rehabilitation: Protocol for Evaluation and Rehabilitation of Mobility Across Continuums of Care
Abstract
Background: Rapid advances in technologies over the past 10 years have enabled large-scale biomedical and psychosocial rehabilitation research to improve the function and social integration of persons with physical impairments across the lifespan. The Biomedical Research and Informatics Living Laboratory for Innovative Advances of New Technologies (BRILLIANT) in community mobility rehabilitation aims to generate evidence-based research to improve rehabilitation for individuals with acquired brain injury (ABI).
Objective: This study aims to (1) identify the factors limiting or enhancing mobility in real-world community environments (public spaces, including the mall, home, and outdoors) and understand their complex interplay in individuals of all ages with ABI and (2) customize community environment mobility training by identifying, on a continuous basis, the specific rehabilitation strategies and interventions that patient subgroups benefit from most. Here, we present the research and technology plan for the BRILLIANT initiative.
Methods: A cohort of individuals, adults and children, with ABI (N=1500) will be recruited. Patients will be recruited from the acute care and rehabilitation partner centers within 4 health regions (living labs) and followed throughout the continuum of rehabilitation. Participants will also be recruited from the community. Biomedical, clinician-reported, patient-reported, and brain imaging data will be collected. Theme 1 will implement and evaluate the feasibility of collecting data across BRILLIANT living labs and conduct predictive analyses and artificial intelligence (AI) to identify mobility subgroups. Theme 2 will implement, evaluate, and identify community mobility interventions that optimize outcomes for mobility subgroups of patients with ABI.
Results: The biomedical infrastructure and equipment have been established across the living labs, and development of the clinician- and patient-reported outcome digital solutions is underway. Recruitment is expected to begin in May 2022.
Conclusions: The program will develop and deploy a comprehensive clinical and community-based mobility-monitoring system to evaluate the factors that result in poor mobility, and develop personalized mobility interventions that are optimized for specific patient subgroups. Technology solutions will be designed to support clinicians and patients to deliver cost-effective care and the right intervention to the right person at the right time to optimize long-term functional potential and meaningful participation in the community.
International registered report identifier (irrid): PRR1-10.2196/12506.
Keywords: acquired brain injury; artificial intelligence; biomedical; community mobility; digital health; health informatics; individualized care; learning health system; participation; physical rehabilitation; predictive analytics; virtual reality.
©Sara Ahmed, Philippe Archambault, Claudine Auger, Audrey Durand, Joyce Fung, Eva Kehayia, Anouk Lamontagne, Annette Majnemer, Sylvie Nadeau, Joelle Pineau, Alain Ptito, Bonnie Swaine. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 01.06.2022.
Conflict of interest statement
Conflicts of Interest: None declared.
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References
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- Patil M, Gupta A, Khanna M, Taly AB, Soni A, Kumar JK, Thennarasu K. Cognitive and functional outcomes following inpatient rehabilitation in patients with acquired brain injury: a prospective follow-up study. J Neurosci Rural Pract. 2017 Sep 03;8(3):357–363. doi: 10.4103/jnrp.jnrp_53_17. https://www.thieme-connect.com/DOI/DOI?10.4103/jnrp.jnrp_53_17 JNRP-8-357 - DOI - PMC - PubMed
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