The Return Home Program: integrated health and social care for post-stroke patients

Plaza, Aina; Fabà, Marta; Inzitari, Marco; Plana, Mercè Salvat; Hernández, Carla; Romera, Sabrina; González, Susana; Closa, Conxita; Duarte, Esther; López, Ma José; Ariza, Carles; Ribera, Aída; Torné, Elvira; Rodríguez, Pepita

doi:10.5334/ijic.3029

Cited by 1 publication

(1 citation statement)

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“…Technologyassisted rehabilitation is particularly crucial for patients who live in rural or remote areas because they face numerous problems, such as not being able to finance it and failing to come and report to the hospital regularly to evaluate their health status [102]. As a result, there is a need to create and implement Telerehabilitation services that include technology-assisted rehabilitation, which can help patients empower themselves for selfdecision making and health status maintenance, resulting in an improvement in overall wellbeing [103]. In the current scenario, there is a need for sensor-based technology that is more reliable and valid than typical systems such as instrumented gait labs, which may assist doctors and patients and play an essential role in the health care system [104].…”

Section: Technology-assisted Rehabilitation Pain Measures; Vasmentioning

confidence: 99%

Wearable and Non-wearable Technology Assisted Assessment and Rehabilitation approaches for Gait Improvement among the Patients with Knee Arthroplasty: A Systematic Review

Raghav

Singh

Mani

et al. 2022

Biosci., Biotech. Res. Asia

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Introduction: This article presents a relevant review of technological interventions used in gait analysis for post-operative knee surgery cases. Gait analysis plays a vital role in the early monitoring and rehabilitation of post-operative instances. The Gait analysis help with early diagnosis and physiotherapy interventions can produce significant results. Thus, reducing the overall cost of treatment and increasing the effect of administered treatment. In the modern era, physiotherapists use different sensors to monitor spatiotemporal parameters. These sensors help assist and enhance the administered physiotherapy. This review paper focuses on sensor-based technological interventions in gait analysis. It emphasizes that technology-assisted rehabilitation, notably sensor-based technologies, motion sensors, and motion analysis software, improves monitoring and functional mobility in knee arthroplasty. Methodology: The systematic search yielded 272 studies, 11 added retrospectively via reference screening of included articles. Following title and abstract screening, we include 53 studies for full-text screening, and ultimately, 20 studies met the review's predetermined eligibility criteria. Two physiotherapists, 'SR' and 'AS,' conducted a thorough search using various electronic databases and screened the eligibility of titles and abstracts. This review included a total of twenty studies. We included all those studies associated with various technological interventions, outcome measures, and study populations. All relevant studies were categorized and tabulated based on the technologies used, the type of device used, and the outcome measure used to monitor and quantify Gait and other mobility impairments. Conclusion: This review paper provides a comprehensive overview of the applications of technology-based intervention to monitor and quantify mobility status using assisted gait analysis. There is moderate-quality evidence that technology-assisted rehabilitation, specifically sensor-based technology, motion sensors, and motion analysis software, results in a statistically significant improvement in monitoring and functional mobility in patients undergoing knee arthroplasty.

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Section: Technology-assisted Rehabilitation Pain Measures; Vasmentioning

confidence: 99%