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Abdullahi A, Wong TWL, Ng SSM. Effects of home-based neurostimulation on outcomes after stroke: a systematic review and meta-analysis. Neurol Sci 2024; 45:5157-5179. [PMID: 38940876 PMCID: PMC11470900 DOI: 10.1007/s10072-024-07633-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/05/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Home-based rehabilitation is a cost-effective means of making services available for patients. The aim of this study is to determine the evidence in the literature on the effects of home-based neurostimulation in patients with stroke. METHOD We searched PubMED, Embase, Web of Science, Scopus, and CENTRAL for randomized controlled trials on the subject matter using keywords such as stroke, electrical stimulation and transcranial direct current stimulation. Information on participants' characteristics and mean scores on the outcomes of interest were extracted. Risks of bias and methodological quality of the included studies were assessed using Cochrane Risks of bias tool and PEDro scale respectively. The data was analyzed using both narrative and quantitative syntheses. In the quantitative synthesis, meta-analysis was carried out using random effect model analysis. RESULT The results showed that, home-based neurostimulation is superior to the control at improving upper limb muscle strength (SMD = 0.72, 95% CI = 0.08 to 1.32, p = 0.03), functional mobility (SMD = -0.39, 95% CI = -0.65 to 0.14, p = 0.003) and walking endurance (SMD = 0.33, 95% CI = 0.08 to 0.59, p = 0.01) post intervention; and upper limb motor function (SMD = 0.9, 95% CI = 0.10 to 1.70, p = 0.03), functional mobility (SMD = -0.30, 95% CI = -0.56 to -0.05, p = 0.02) and walking endurance (SMD = 0.33, 95% CI = 0.08 to 0.59, p = 0.01) at follow-up. CONCLUSIONS Home-based neurostimulation can be used to improve upper and lower limb function after stroke.
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Affiliation(s)
- Auwal Abdullahi
- Formerly, Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, Hong Kong, China
| | - Thomson W L Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, Hong Kong, China
| | - Shamay S M Ng
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, Hong Kong, China.
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Seijas V, Maritz R, Mishra S, Bernard RM, Fernandes P, Lorenz V, Machado B, Posada AM, Lugo-Agudelo LH, Bickenbach J, Sabariego C. Rehabilitation in primary care for an ageing population: a secondary analysis from a scoping review of rehabilitation delivery models. BMC Health Serv Res 2024; 24:123. [PMID: 38263183 PMCID: PMC10804573 DOI: 10.1186/s12913-023-10387-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 11/27/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND The world population is ageing rapidly. Rehabilitation is one of the most effective health strategies for improving the health and functioning of older persons. An understanding of the current provision of rehabilitation services in primary care (PC) is needed to optimise access to rehabilitation for an ageing population. The objectives of this scoping review are a) to describe how rehabilitation services are currently offered in PC to older persons, and b) to explore age-related differences in the type of rehabilitation services provided. METHODS We conducted a secondary analysis of a scoping review examining rehabilitation models for older persons, with a focus on PC. Medline and Embase (2015-2022) were searched to identify studies published in English on rehabilitation services for people aged 50 + . Two authors independently screened records and extracted data using the World Health Organization (WHO)'s operational framework, the Primary Health Care Systems (PRIMASYS) approach and the WHO paper on rehabilitation in PC. Data synthesis included quantitative and qualitative analysis. RESULTS We synthesised data from 96 studies, 88.6% conducted in high-income countries (HICs), with 31,956 participants and identified five models for delivering rehabilitation to older persons in PC: community, home, telerehabilitation, outpatient and eldercare. Nurses, physiotherapists, and occupational therapists were the most common providers, with task-shifting reported in 15.6% of studies. The most common interventions were assessment of functioning, rehabilitation coordination, therapeutic exercise, psychological interventions, and self-management education. Environmental adaptations and assistive technology were rarely reported. CONCLUSIONS We described how rehabilitation services are currently provided in PC and explored age-related differences in the type of rehabilitation services received. PC can play a key role in assessing functioning and coordinating the rehabilitation process and is also well-placed to deliver rehabilitation interventions. By understanding models of rehabilitation service delivery in PC, stakeholders can work towards developing more comprehensive and accessible services that meet the diverse needs of an ageing population. Our findings, which highlight the role of rehabilitation in healthy ageing, are a valuable resource for informing policy, practice and future research in the context of the United Nations Decade of Healthy Ageing, the Rehab2030 initiative and the recently adopted WHA resolution on strengthening rehabilitation in health systems, but the conclusions can only be applied to HICs and more studies are needed that reflect the reality in low- and middle-income countries.
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Affiliation(s)
- Vanessa Seijas
- Faculty of Health Sciences and Medicine, University of Lucerne, Alpenquai 4, Lucerne, 6005, Switzerland.
- Center for Rehabilitation in Global Health Systems (WHO Collaborating Center), Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.
- Ageing, Functioning Epidemiology and Implementation, Swiss Paraplegic Research, Nottwil, Switzerland.
| | - Roxanne Maritz
- Faculty of Health Sciences and Medicine, University of Lucerne, Alpenquai 4, Lucerne, 6005, Switzerland
- Center for Rehabilitation in Global Health Systems (WHO Collaborating Center), Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Satish Mishra
- Disability, Rehabilitation, Palliative and Long-Term Care, Health Workforce and Service Delivery Unit, Division of Country Health Policies and Systems, WHO Regional Office for Europe, UN City, Marmorvej 51, Copenhagen, 2100, Denmark
| | - Renaldo M Bernard
- Ageing, Functioning Epidemiology and Implementation, Swiss Paraplegic Research, Nottwil, Switzerland
| | - Patricia Fernandes
- Department of Clinical Medicine, Federal University of Parana, R. XV de Novembro, 1299 - Centro, Curitiba, PR, 80060-000, Brasil
| | - Viola Lorenz
- Faculty of Health Sciences and Medicine, University of Lucerne, Alpenquai 4, Lucerne, 6005, Switzerland
| | - Barbara Machado
- Faculty of Health Sciences and Medicine, University of Lucerne, Alpenquai 4, Lucerne, 6005, Switzerland
| | - Ana María Posada
- Rehabilitation in Health Research Group, Sede de Investigación Universitaria, University of Antioquia, Cl. 62 # 52-59, Medellín, Colombia
| | - Luz Helena Lugo-Agudelo
- Rehabilitation in Health Research Group, Sede de Investigación Universitaria, University of Antioquia, Cl. 62 # 52-59, Medellín, Colombia
| | - Jerome Bickenbach
- Faculty of Health Sciences and Medicine, University of Lucerne, Alpenquai 4, Lucerne, 6005, Switzerland
- Center for Rehabilitation in Global Health Systems (WHO Collaborating Center), Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
- Ageing, Functioning Epidemiology and Implementation, Swiss Paraplegic Research, Nottwil, Switzerland
| | - Carla Sabariego
- Faculty of Health Sciences and Medicine, University of Lucerne, Alpenquai 4, Lucerne, 6005, Switzerland
- Center for Rehabilitation in Global Health Systems (WHO Collaborating Center), Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
- Ageing, Functioning Epidemiology and Implementation, Swiss Paraplegic Research, Nottwil, Switzerland
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Chen S, Lv C, Wu J, Zhou C, Shui X, Wang Y. Effectiveness of a home-based exercise program among patients with lower limb spasticity post-stroke: A randomized controlled trial. Asian Nurs Res (Korean Soc Nurs Sci) 2020; 15:1-7. [PMID: 32890770 DOI: 10.1016/j.anr.2020.08.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 08/11/2020] [Accepted: 08/17/2020] [Indexed: 10/23/2022] Open
Abstract
PURPOSE To evaluate the effectiveness of advanced practice nurse-guided home-based rehabilitation exercise program (HREPro) among patients with lower limb spasticity post-stroke. METHODS This randomized controlled study recruited 121 patients with lower limb spasticity post-stroke. Intervention (n = 59) and control (n = 62) groups underwent 12-month HREPro and conventional rehabilitation, respectively, after discharge. The Fugl-Meyer assessment of spasticity measurement, modified Ashworth scale of motor function, 10-Meter Walk Test of walking ability, and Barthel index of activities of daily living (ADL) were evaluated at 0, 3, 6, and 12 months after discharge. RESULTS Significant differences were found in spasticity degree, motor function, walking ability, and ADL at 6 and 12 months after discharge between the control and intervention groups. Lower limb spasticity and ADL in the intervention group were significantly improved. CONCLUSION HREPro is effective for rehabilitation of patients with lower limb spasticity post-stroke and has favorable home application.
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Affiliation(s)
- Shaomin Chen
- Department of Rehabilitation, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China
| | - Chang Lv
- Department of Rehabilitation, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China
| | - Jiaozhen Wu
- Department of Orthopedics, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China
| | - Chengwei Zhou
- Department of Orthopedics, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China
| | - Xiaolong Shui
- Department of Orthopedics, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China
| | - Yi Wang
- Department of Orthopedics, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China.
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Hernandez V, Kulić D, Venture G. Adversarial autoencoder for visualization and classification of human activity: Application to a low-cost commercial force plate. J Biomech 2020; 103:109684. [PMID: 32213290 DOI: 10.1016/j.jbiomech.2020.109684] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 02/15/2020] [Accepted: 02/23/2020] [Indexed: 10/24/2022]
Abstract
The ability to visualize and interpret high dimensional time-series data will be critical as wearable and other sensors are adopted in rehabilitation protocols. This study proposes a latent space representation of high dimensional time-series data for data visualization. For that purpose, a deep learning model called Adversarial AutoEncoder (AAE) is proposed to perform efficient data dimensionality reduction by considering unsupervised and semi-supervised adversarial training. Eighteen subjects were recruited for the experiment and performed two sets of exercises (upper and lower body) on the Wii Balance Board. Then, the accuracy of the latent space representation is evaluated on both sets of exercises separately. Data dimensionality reduction with conventional Machine Learning (ML) and supervised Deep Learning (DL) classification are also performed to compare the efficiency of AAE approaches. The results showed that AAE can outperform conventional ML approaches while providing close results to DL supervised classification. AAE approaches for data visualization are a promising approach to monitor the subject's movements and detect adverse events or similarity with previous data, providing an intuitive way to monitor the patient's progress and provide potential information for rehabilitation tracking.
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Affiliation(s)
- Vincent Hernandez
- Electrical and Computer Engineering - University of Waterloo, ON, Canada; Department of Mechanical Systems Engineering - Tokyo University of Agriculture and Technology, Tokyo, Japan.
| | - Dana Kulić
- Monash University, 14 Alliance Lane, Clayton Campus, VIC 3800, Australia.
| | - Gentiane Venture
- Department of Mechanical Systems Engineering - Tokyo University of Agriculture and Technology, Tokyo, Japan.
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López-Liria R, Vega-Ramírez FA, Aguilar-Parra JM, Padilla-Góngora D, Trigueros-Ramos R, Rocamora-Pérez P. Evaluation of the Effectiveness of a Nursing/Physiotherapy Program in Chronic Patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E2236. [PMID: 31242616 PMCID: PMC6617027 DOI: 10.3390/ijerph16122236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 06/19/2019] [Accepted: 06/24/2019] [Indexed: 11/20/2022]
Abstract
This study aimed to evaluate the functional impact of a shared intervention model by the mobile physiotherapy and rehabilitation team (MPRT) and primary care case management nurses (PCCMNs) on chronic patients. This was a prospective, observational study involving 1086 patients (mean age, 80 years; 63.7% females) in the province of Almeria, which was conducted between 2004 and 2018. Most of the registered diseases included cerebrovascular and neurological diseases (56.7%), osteoarticular diseases (45.3%), diabetes mellitus (25.7%), cardiovascular diseases (25.5%), and chronic respiratory diseases. The study included a home care intervention by the MPRT and PCCMNs and included the following main outcome measures: age, sex, main caregiver, disabling process (ICD-9), type and number of inclusion categories for chronic disease, initial and final Barthel index (BI), treatment or intervention on the patient (techniques), objectives, and number of sessions. The main techniques used were kinesiotherapy (44.6%) and caregiver training (23%), along with technical aid. An equation predicting the patients' final BI, according to the initial BI, was constructed using multiple linear regression modelling. A marked improvement in functional capacity was found after an average of 10 physiotherapy sessions. A lower patient age was correlated with a higher functional capacity, both initial and final BI, as well as a greater number of sessions.
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Affiliation(s)
- Remedios López-Liria
- Health Research Centre, Department of Nursing, Physiotherapy and Medicine, University of Almería, Carretera del Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain.
| | | | - José Manuel Aguilar-Parra
- Department of Psychology, University of Almería, Carretera del Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain.
| | - David Padilla-Góngora
- Department of Psychology, University of Almería, Carretera del Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain.
| | - Rubén Trigueros-Ramos
- Department of Psychology, University of Almería, Carretera del Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain.
| | - Patricia Rocamora-Pérez
- Health Research Centre, Department of Nursing, Physiotherapy and Medicine, University of Almería, Carretera del Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain.
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