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Alhasani R, Godbout M, Durand A, Auger C, Lamontagne A, Ahmed S. Informing the development of an outcome set and banks of items to measure mobility among individuals with acquired brain injury using natural language processing. BMC Neurol 2022; 22:464. [PMID: 36494770 PMCID: PMC9733317 DOI: 10.1186/s12883-022-02938-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 10/25/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The sheer number of measures evaluating mobility and inconsistencies in terminology make it challenging to extract potential core domains and items. Automating a portion of the data synthesis would allow us to cover a much larger volume of studies and databases in a smaller fraction of the time compared to the usual process. Thus, the objective of this study was to identify a comprehensive outcome set and develop preliminary banks of items of mobility among individuals with acquired brain injury (ABI) using Natural Language Processing (NLP). METHODS An umbrella review of 47 reviews evaluating the content of mobility measures among individuals with ABI was conducted. A search was performed on 5 databases between 2000 and 2020. Two independent reviewers retrieved copies of the measures and extracted mobility domains and items. A pre-trained BERT model (state-of-the-art model for NLP) provided vector representations for each sentence. Using the International Classification of Functioning, Disability, and Health Framework (ICF) ontology as a guide for clustering, a k-means algorithm was used to retrieve clusters of similar sentences from their embeddings. The resulting embedding clusters were evaluated using the Silhouette score and fine-tuned according to expert input. RESULTS The study identified 246 mobility measures, including 474 domains and 2109 items. Encoding the clusters using the ICF ontology and expert knowledge helped in regrouping the items in a way that is more closely related to mobility terminology. Our best results identified banks of items that were used to create a 24 comprehensive outcome sets of mobility, including Upper Extremity Mobility, Emotional Function, Balance, Motor Control, Self-care, Social Life and Relationships, Cognition, Walking, Postural Transition, Recreation, and Leisure Activities, Activities of Daily Living, Physical Functioning, Communication, Work/Study, Climbing, Sensory Functions, General Health, Fatigue, Functional Independence, Pain, Alcohol and Drugs Use, Transportation, Sleeping, and Finances. CONCLUSION The banks of items of mobility domains represent a first step toward establishing a comprehensive outcome set and a common language of mobility to develop the ontology. It enables researchers and healthcare professionals to begin exposing the content of mobility measures as a way to assess mobility comprehensively.
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Affiliation(s)
- Rehab Alhasani
- grid.14709.3b0000 0004 1936 8649School of Physical and Occupation Therapy, Faculty of Medicine, McGill University, 3655 Sir William-Osler, Montreal, QC H3G 1Y6 Canada ,grid.420709.80000 0000 9810 9995Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, Quebec Canada ,grid.449346.80000 0004 0501 7602Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Mathieu Godbout
- grid.23856.3a0000 0004 1936 8390Université Laval, Laval, Quebec, Canada
| | - Audrey Durand
- grid.23856.3a0000 0004 1936 8390Université Laval, Laval, Quebec, Canada ,Mila - Quebec Artificial Intelligent Institute, Montreal, Quebec Canada
| | - Claudine Auger
- grid.420709.80000 0000 9810 9995Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, Quebec Canada ,grid.14848.310000 0001 2292 3357School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, Quebec Canada ,grid.459278.50000 0004 4910 4652Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS du Centre-Sud-de-l’Île-de-Montréal, Montréal, Quebec Canada
| | - Anouk Lamontagne
- grid.14709.3b0000 0004 1936 8649School of Physical and Occupation Therapy, Faculty of Medicine, McGill University, 3655 Sir William-Osler, Montreal, QC H3G 1Y6 Canada ,grid.420709.80000 0000 9810 9995Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, Quebec Canada ,grid.414993.20000 0000 8928 6420Jewish Rehabilitation Hospital, CISSS de Laval, Laval, Quebec Canada
| | - Sara Ahmed
- grid.14709.3b0000 0004 1936 8649School of Physical and Occupation Therapy, Faculty of Medicine, McGill University, 3655 Sir William-Osler, Montreal, QC H3G 1Y6 Canada ,grid.420709.80000 0000 9810 9995Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, Quebec Canada ,grid.63984.300000 0000 9064 4811McGill University Health Center Research Institute, Clinical Epidemiology, Center for Outcome Research and Evaluation, Montreal, Quebec Canada ,grid.459278.50000 0004 4910 4652Constance Lethbridge Rehabilitation Center, CIUSSS Centre- Ouest de l’Îile de Montreal, Montreal, Quebec Canada
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Ahmed S, Archambault P, Auger C, Durand A, Fung J, Kehayia E, Lamontagne A, Majnemer A, Nadeau S, Pineau J, Ptito A, Swaine B. Biomedical Research & Informatics Living Laboratory for Innovative Advances of New Technologies in Community Mobility Rehabilitation: Protocol for a longitudinal evaluation of mobility outcomes (Preprint). JMIR Res Protoc 2022; 11:e12506. [PMID: 35648455 PMCID: PMC9201706 DOI: 10.2196/12506] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/02/2022] [Indexed: 01/23/2023] Open
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
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Affiliation(s)
- Sara Ahmed
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Lethbridge-Layton-Mackay, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- Center for Outcome Research and Evaluation, McGill University Health Center Research Institute, Montreal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
| | - Philippe Archambault
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- Jewish Rehabilitation Hospital, Centre intégré de santé et de services sociaux de Laval, Laval, QC, Canada
| | - Claudine Auger
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
- Institut universitaire sur la réadaptation en déficience physique de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Audrey Durand
- Computer Science and Software Engineering Department, Faculty of Science and Engineering, Université Laval, Quebec City, QC, Canada
| | - Joyce Fung
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- Jewish Rehabilitation Hospital, Centre intégré de santé et de services sociaux de Laval, Laval, QC, Canada
| | - Eva Kehayia
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- Jewish Rehabilitation Hospital, Centre intégré de santé et de services sociaux de Laval, Laval, QC, Canada
| | - Anouk Lamontagne
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- Jewish Rehabilitation Hospital, Centre intégré de santé et de services sociaux de Laval, Laval, QC, Canada
| | - Annette Majnemer
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Center for Outcome Research and Evaluation, McGill University Health Center Research Institute, Montreal, QC, Canada
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
| | - Sylvie Nadeau
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
- Institut universitaire sur la réadaptation en déficience physique de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Joelle Pineau
- School of Computer Science, McGill University, Montreal, QC, Canada
| | - Alain Ptito
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University Health Centre Research Institute, Montreal, QC, Canada
| | - Bonnie Swaine
- Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
- Institut universitaire sur la réadaptation en déficience physique de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
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