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Cheung D, Paul SS, Mackenzie L, Wesson J, Goh L, Canning CG, Almeida LRS, Enright M, Allen NE. A scoping review of safe mobility behaviour in fall prevention: implications for people with Parkinson's disease. Disabil Rehabil 2024:1-14. [PMID: 39540548 DOI: 10.1080/09638288.2024.2425060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 10/21/2024] [Accepted: 10/23/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Falls are a major concern for people with Parkinson's disease (PwPD) due to associated motor and non-motor impairments. Promoting safe mobility behaviour may be an effective fall prevention intervention, however this concept is poorly articulated in the literature. The aim of this scoping review was to map out the definition and concepts of safe mobility behaviour to draw implications for PwPD. MATERIALS AND METHODS The Joanna Briggs Institute methodology for scoping reviews was followed. Studies involving older adults (aged ≥ 65 years) and/or PwPD that sought to define, describe, and/or explain this concept were included. RESULTS Of the 21,936 records retrieved, 124 publications were included. No studies defined safe mobility behaviour. However, its performance was described as a combination of observable actions and cognitive processes. Mobility behaviour was influenced by an interaction between the person, environment, and task performance. CONCLUSION We propose a definition for safer mobility behaviour as any protective action and associated functional cognitive process used to reduce the likelihood of a fall during mobility-related activities. It is unique to each person and occurs across a continuum of safer to riskier behaviour. Future research developing and testing interventions targeting safer mobility behaviour for PwPD is warranted.
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Affiliation(s)
- Daniel Cheung
- Discipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia
| | - Serene S Paul
- Discipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Lynette Mackenzie
- Discipline of Occupational Therapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Jacqueline Wesson
- Discipline of Occupational Therapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Lina Goh
- Discipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Colleen G Canning
- Discipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Lorena Rosa S Almeida
- Movement Disorders and Parkinson's Disease Clinic, Roberto Santos General Hospital/SESAB, Salvador, Brazil
- Bahiana School of Medicine and Public Health, Motor Behavior and Neurorehabilitation Research Group, Salvador, Brazil
| | - Michael Enright
- Illawarra Shoalhaven Local Health District Transitional Aged Care Program, Wollongong, NSW, Australia
- Escarpment Physio, Wollongong, NSW, Australia
| | - Natalie E Allen
- Discipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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Khalid UB, Naeem M, Stasolla F, Syed MH, Abbas M, Coronato A. Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends. Int J Gen Med 2024; 17:943-969. [PMID: 38495919 PMCID: PMC10944308 DOI: 10.2147/ijgm.s453903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/05/2024] [Indexed: 03/19/2024] Open
Abstract
Rehabilitation is an important and necessary part of local and global healthcare services along with treatment and palliative care, prevention of disease, and promotion of good health. The rehabilitation process helps older and young adults even children to become as independent as possible in activities of daily life and enables participation in useful living activities, recreation, work, and education. The technology of Artificial Intelligence (AI) has evolved significantly in recent years. Many activities related to rehabilitation have been getting benefits from using AI techniques. The objective of this review study is to explore the advantages of AI for rehabilitation and how AI is impacting the rehabilitation process. This study aims at the most critical aspects of the rehabilitation process that could potentially take advantage of AI techniques including personalized rehabilitation apps, rehabilitation through assistance, rehabilitation for neurological disorders, rehabilitation for developmental disorders, virtual reality rehabilitation, rehabilitation of neurodegenerative diseases and Telerehabilitation of Cardiovascular. We presented a survey on the newest empirical studies available in the literature including the AI-based technology helpful in the Rehabilitation process. The novelty feature included but was not limited to an overview of the technological solutions useful in rehabilitation. Seven different categories were identified. Illustrative examples of practical applications were detailed. Implications of the findings for both research and practice were critically discussed. Most of the AI applications in these rehabilitation types are in their infancy and continue to grow while exploring new opportunities. Therefore, we investigate the role of AI technology in rehabilitation processes. In addition, we do statistical analysis of the selected studies to highlight the significance of this review work. In the end, we also present a discussion on some challenges, and future research directions.
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Affiliation(s)
- Umamah bint Khalid
- Department of Electronics, Quaid-I-Azam University, Islamabad, 44000, Pakistan
| | - Muddasar Naeem
- Research Center on ICT Technologies for Healthcare and Wellbeing, Università Telematica “Giustino Fortunato”, Benevento, 82100, Italy
| | - Fabrizio Stasolla
- Research Center on ICT Technologies for Healthcare and Wellbeing, Università Telematica “Giustino Fortunato”, Benevento, 82100, Italy
| | - Madiha Haider Syed
- Department of Electronics, Quaid-I-Azam University, Islamabad, 44000, Pakistan
- Institute of Information Technology, Quaid-i-Azam University, Islamabad, 44000, Pakistan
| | - Musarat Abbas
- Department of Electronics, Quaid-I-Azam University, Islamabad, 44000, Pakistan
| | - Antonio Coronato
- Research Center on ICT Technologies for Healthcare and Wellbeing, Università Telematica “Giustino Fortunato”, Benevento, 82100, Italy
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