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Lebleu J, Daniels K, Pauwels A, Dekimpe L, Mapinduzi J, Poilvache H, Bonnechère B. Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement. Sensors (Basel) 2024; 24:1163. [PMID: 38400321 PMCID: PMC10892564 DOI: 10.3390/s24041163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/20/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024]
Abstract
Osteoarthritis (OA) poses a growing challenge for the aging population, especially in the hip and knee joints, contributing significantly to disability and societal costs. Exploring the integration of wearable technology, this study addresses the limitations of traditional rehabilitation assessments in capturing real-world experiences and dynamic variations. Specifically, it focuses on continuously monitoring physical activity in hip and knee OA patients using automated unsupervised evaluations within the rehabilitation process. We analyzed data from 1144 patients who used a mobile health application after surgery; the activity data were collected using the Garmin Vivofit 4. Several parameters, such as the total number of steps per day, the peak 6-minute consecutive cadence (P6MC) and peak 1-minute cadence (P1M), were computed and analyzed on a daily basis. The results indicated that cadence-based measurements can effectively, and earlier, differ among patients with hip and knee conditions, as well as in the recovery process. Comparisons based on recovery status and type of surgery reveal distinctive trajectories, emphasizing the effectiveness of P6MC and P1M in detecting variations earlier than total steps per day. Furthermore, cadence-based measurements showed a lower inter-day variability (40%) compared to the total number of steps per day (80%). Automated assessments, including P1M and P6MC, offer nuanced insights into the patients' dynamic activity profiles.
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Affiliation(s)
- Julien Lebleu
- moveUp, 1000 Brussels, Belgium; (J.L.); (A.P.); (L.D.)
| | - Kim Daniels
- Department of PXL—Healthcare, PXL University of Applied Sciences and Arts, 3500 Hasselt, Belgium;
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, 3590 Diepenbeek, Belgium;
| | | | - Lucie Dekimpe
- moveUp, 1000 Brussels, Belgium; (J.L.); (A.P.); (L.D.)
| | - Jean Mapinduzi
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, 3590 Diepenbeek, Belgium;
- Filière de Kinésithérapie et Réadaptation, Département des Sciences Clinique, Institut National de la Santé Publique, 6807 Bujumbura, Burundi
| | - Hervé Poilvache
- Orthopedic Surgery Department, CHIREC, 1420 Braine-l’Alleud, Belgium
| | - Bruno Bonnechère
- Department of PXL—Healthcare, PXL University of Applied Sciences and Arts, 3500 Hasselt, Belgium;
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, 3590 Diepenbeek, Belgium;
- Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, Hasselt University, 3590 Diepenbeek, Belgium
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Mitchaï PM, Mapinduzi J, Verbrugghe J, Michiels S, Janssens L, Kossi O, Bonnechère B, Timmermans A. Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries. Eur Spine J 2023; 32:4077-4100. [PMID: 37794182 DOI: 10.1007/s00586-023-07964-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 05/22/2023] [Accepted: 09/16/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE The aim of this systematic review was primarily to identify the types of mHealth technologies for the rehabilitation of non-specific spinal disorders, second to evaluate their efficacy, and finally to determine their applicability in LMICs. METHODS Three databases (Scopus, PubMed, and Web of Science) were searched for randomized controlled trials and clinical trials from January 2012 until December 2022. Studies were found eligible when using mHealth technologies for the rehabilitation of non-specific spinal disorders. To evaluate efficacy, the primary outcome was pain intensity, and the secondary outcomes were disability and quality of life. To evaluate the applicability in LMICs, information about financial and geographical accessibility, offline usability, and languages was extracted. RESULTS Fifteen studies were included comprising 1828 participants who suffer from non-specific low back pain (86.05%) and non-specific neck pain (13.95%). Fourteen distinct smartphone-based interventions and two sensor system interventions were found, with a duration ranging from four weeks to six months. All mHealth interventions demonstrated efficacy for the improvement of pain, disability and quality of life in non-specific spinal disorders, particularly low back pain. Five of the evaluated smartphone applications were free of charge accessible and had language features that could be adapted for use in LMICs. CONCLUSION mHealth interventions can be used and integrated into the conventional treatment of non-specific spinal disorders in rehabilitation. They have demonstrated efficacy and could be implemented in LMICs with minor adaptations to overcome language barriers and the absolute necessity of the internet.
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Affiliation(s)
- Pénielle Mahutchegnon Mitchaï
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
- ENATSE, National School of Public Health and Epidemiology, University of Parakou, 03 BP 10, Parakou, Benin
| | - Jean Mapinduzi
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
- Department of Physiotherapy, National Institute of Public Health, University of Bujumbura, Bujumbura, Burundi
| | - Jonas Verbrugghe
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Sarah Michiels
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Lotte Janssens
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Oyéné Kossi
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium.
- ENATSE, National School of Public Health and Epidemiology, University of Parakou, 03 BP 10, Parakou, Benin.
- Unit of Neurology and NeuroRehabilitation, University Hospital of Parakou, Parakou, Benin.
| | - Bruno Bonnechère
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
- Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, Hasselt University, Diepenbeek, Belgium
| | - Annick Timmermans
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
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Bonnechère B, Kossi O, Mapinduzi J, Panda J, Rintala A, Guidetti S, Spooren A, Feys P. Mobile health solutions: An opportunity for rehabilitation in low- and middle income countries? Front Public Health 2023; 10:1072322. [PMID: 36761328 PMCID: PMC9902940 DOI: 10.3389/fpubh.2022.1072322] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 12/27/2022] [Indexed: 01/25/2023] Open
Abstract
Mobile health (mHealth) development has advanced rapidly, indicating promise as an effective patient intervention. mHealth has many potential benefits that could help the treatment of patients, and the development of rehabilitation in low- and middle-income countries (LMICs). mHealth is a low-cost option that does not need rapid access to healthcare clinics or employees. It increases the feasibility and rationality of clinical treatment expectations in comparison to the conventional clinical model of management by promoting patient adherence to the treatment plan. mHealth can also serve as a basis for formulating treatment plans and partially compensate for the shortcomings of the traditional model. In addition, mHealth can help achieve universal rehabilitation service coverage by overcoming geographical barriers, thereby increasing the number of ways patients can benefit from the rehabilitation service, and by providing rehabilitation to individuals in remote areas and communities with insufficient healthcare services. However, despite these positive potential aspects, there is currently only a very limited number of studies performed in LMICs using mHealth. In this study, we first reviewed the current evidence supporting the use of mHealth in rehabilitation to identify the countries where studies have been carried out. Then, we identify the current limitations of the implementation of such mHealth solutions and propose a 10-point action plan, focusing on the macro (e.g., policymakers), meso (e.g., technology and healthcare institutions), and micro (e.g., patients and relatives) levels to ease the use, validation, and implementation in LMICs and thus participate in the development and recognition of public health and rehabilitation in these countries.
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Affiliation(s)
- Bruno Bonnechère
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University (UHasselt), Hasselt, Belgium,Technology-Supported and Data-Driven Rehabilitation, Data Science Institute, UHasselt, Hasselt, Belgium,*Correspondence: Bruno Bonnechère ✉
| | - Oyene Kossi
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University (UHasselt), Hasselt, Belgium,ENATSE, National School of Public Health and Epidemiology, University of Parakou, Parakou, Benin
| | - Jean Mapinduzi
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University (UHasselt), Hasselt, Belgium,INSP, Institut National de la Santé Publique, Bujumbura, Burundi,CKAO-AMAHORO, Cabinet de Kinésithérapie et d'Appareillage Orthopédique, Bujumbura, Burundi
| | - Jules Panda
- University of Lubumbashi, Lubumbashi, Democratic Republic of Congo,Institut de Recherche en Science de la Santé, Lubumbashi, Democratic Republic of Congo
| | - Aki Rintala
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University (UHasselt), Hasselt, Belgium,Faculty of Social Services and Health Care, LAB University of Applied Sciences, Lahti, Finland
| | - Susanne Guidetti
- Department of Neurobiology, Care Sciences and Society, Division for Occupational Therapy, Karolinska Institutet, Stockholm, Sweden,Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy and Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Annemie Spooren
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University (UHasselt), Hasselt, Belgium
| | - Peter Feys
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University (UHasselt), Hasselt, Belgium
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Mapinduzi J, Ndacayisaba G, Mahaudens P, Hidalgo B. Effectiveness of motor control exercises versus other musculoskeletal therapies in patients with pelvic girdle pain of sacroiliac joint origin: A systematic review with meta-analysis of randomized controlled trials. J Back Musculoskelet Rehabil 2022; 35:713-728. [PMID: 34957990 DOI: 10.3233/bmr-210108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Pelvic girdle pain represents a group of musculoskeletal pain disorders associated with the sacroiliac joint and/or the surrounding musculoskeletal and ligamentous structures. Its physical management is still a serious challenge as it has been considered the primary cause of low back pain. OBJECTIVE This review sought to determine the effectiveness of motor control exercises for two clinically relevant measures; i.e., pain and disability, on patients with pelvic girdle pain of sacroiliac joint origin. METHODS This review covered only randomized controlled studies. Online databases, such as PubMed, Embase, Scopus, and Cochrane Library, were searched from January 1, 1990, to December 31, 2019. PEDro scale was used to assess the methodological quality of included studies, while Review Manager was employed to synthesize data in view of meta-analysis. The PRISMA guidelines were applied for this review. RESULTS Twelve randomized controlled trials of moderate-to-high quality were included in this review. The studies involved 1407 patients with a mean age ranging from 25.5 to 42.1 years as well as intervention and follow-up durations from 1 week to 2 years. Motor control exercises alone for pelvic girdle pain of sacroiliac joint origin were not effective in terms of pain reduction (SMD = 0.29 [-0.64,1.22]) compared to control interventions whereas they were slightly effective in terms of disability reduction (SMD =-0.07 [-0.67, 0.53]) at short-term. The combination of motor control exercises with other musculoskeletal therapies, however, revealed to be more effective than control interventions in terms of pain reduction (SMD =-1.78 [-2.49, -1.07]; 95%CI) and lessened disability (SMD =-1.80 [-3.03, -0.56]; 95%CI) at short-term. CONCLUSION Motor control exercises alone were not found to be effective in reducing pain at short-term. However, their combination with other musculoskeletal therapies revealed a significant and clinically-relevant decrease in pain and disability at short-term, especially in peripartum period.
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Affiliation(s)
- Jean Mapinduzi
- Faculty of Motor Sciences, Uclouvain, Ottignies/Brabant Wallon, Belgium
| | | | - Philippe Mahaudens
- Faculty of Motor Sciences, Uclouvain, Ottignies/Brabant Wallon, Belgium.,Neuro Musculo Skeletal Lab, Brussels, Belgium.,Cliniques Universitaires St-Luc, Service D'orthopédie, Brussels, Belgium
| | - Benjamin Hidalgo
- Faculty of Motor Sciences, Uclouvain, Ottignies/Brabant Wallon, Belgium.,Neuro Musculo Skeletal Lab, Brussels, Belgium.,High School of Physiotherapy Parnasse-Vinci, Brussels, Belgium
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