Exercises using a touchscreen tablet application improved functional ability more than an exercise program prescribed on paper in people after surgical carpal tunnel release: a randomised trial

Blanquero, Jesús; Cortés-Vega, María-Dolores; García-Frasquet, María Ángeles; Sánchez-Laulhé, Pablo Rodríguez; Bernardos, María Isabel Nieto Díaz de los; Suero-Pineda, Alejandro

doi:10.1016/j.jphys.2019.02.008

Cited by 29 publications

(36 citation statements)

References 35 publications

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“…Nineteen articles remained after the screening process, describing 13 separate biofeedback home rehabilitation systems. Eight systems were described by one paper only [34][35][36][37][38][39][40][41], four systems were described by two separate papers [42][43][44][45][46][47][48][49] and one system was described by three papers [50][51][52]. All included papers fulfilled the inclusion criteria for this scoping review.…”

Section: Search Resultsmentioning

confidence: 99%

“…Five systems were developed for use in knee rehabilitation (chronic knee pain or post-operative care) [34,35,43,44,49], three for rehabilitation after a cerebrovascular accident (CVA/stroke) [38,46,51], two for elderly at risk of falls [37,43], and one each for rehabilitation related to carpal tunnel release surgery [36], total hip replacement [40], cerebral palsy [39] and chronic obstructive pulmonary disease (COPD) [41].…”

Section: System Characteristicsmentioning

confidence: 99%

“…The terminal feedback was given after the completion of an exercise repetition, set or full session, and provided technique information or progress reports. Seven systems used descriptive feedback [34,36,37,39,40,43,46], three used both prescriptive and descriptive [35,38,51], one used prescriptive alone [41], and it was unclear what quality of feedback was used in two systems [44,49]. As each system provided feedback on more than one feature of the targeted exercise, KR and KP were noted to be applied in a variety of ways and eight systems applied both KP and KR [35,38,39,41,43,44,46,51].…”

Section: Feedback Componentsmentioning

confidence: 99%

“…As each system provided feedback on more than one feature of the targeted exercise, KR and KP were noted to be applied in a variety of ways and eight systems applied both KP and KR [35,38,39,41,43,44,46,51]. Five systems used KR only [34,36,37,40,49] and no system used KP only. Constant feedback was given by all systems, but Durfee et al [50] also employed a fading frequency protocol for some feedback features.…”

Section: Feedback Componentsmentioning

confidence: 99%

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Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

Brennan

Dorronzoro

Caulfield

2019

Sensors

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Digital biofeedback systems (DBSs) are used in physical rehabilitation to improve outcomes by engaging and educating patients and have the potential to support patients while doing targeted exercises during home rehabilitation. The components of feedback (mode, content, frequency and timing) can influence motor learning and engagement in various ways. The feedback design used in DBSs for targeted exercise home rehabilitation, as well as the evidence underpinning the feedback and how it is evaluated, is not clearly known. To explore these concepts, we conducted a scoping review where an electronic search of PUBMED, PEDro and ACM digital libraries was conducted from January 2000 to July 2019. The main inclusion criteria included DBSs for targeted exercises, in a home rehabilitation setting, which have been tested on a clinical population. Nineteen papers were reviewed, detailing thirteen different DBSs. Feedback was mainly visual, concurrent and descriptive, frequently providing knowledge of results. Three systems provided clear rationale for the use of feedback. Four studies conducted specific evaluations of the feedback, and seven studies evaluated feedback in a less detailed or indirect manner. Future studies should describe in detail the feedback design in DBSs and consider a robust evaluation of the feedback element of the intervention to determine its efficacy.Sensors 2020, 20, 181 2 of 20 to improve motor learning, engagement with and adherence to rehabilitation in musculoskeletal, neurological and orthopaedic populations [3][4][5]. They can improve awareness of exercise technique by providing information regarding movement that was previously unavailable. DBSs can generate objective measurements which act as rehabilitation goals, such as knee range of movement (ROM). With the appropriate data analytics and visualisations, the data collected can be compiled to create progress reports and allow remote monitoring by physiotherapists [6,7].Feedback consists of four main components (mode, content, frequency and timing), which each may be applied in a multitude of ways. Different combinations of these components will result in different feedback designs, and, theoretically, different effects on the user [8]. We have summarised the components of feedback that are observed in the relevant literature and presented them in Figure 1 as a framework within which to describe feedback interventions in detail. The first of these components is feedback mode, this may be visual, audio, haptic or multimodal (more than one mode represents the same variable at the same time). Through these modes, the feedback may be presented in a direct manner, e.g., a measure of ROM [9], or in an indirect manner, e.g., abstract graphical displays or gamified interfaces [10,11]. Feedback timing can be concurrent (also known as 'real-time' or 'simultaneous') or terminal, meaning it can be delivered during or after exercise execution, respectively. The frequency of feedback can be constant, reduced, or fading (decreasing over time). Feedback con...

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Section: Search Resultsmentioning

confidence: 99%

Section: System Characteristicsmentioning

confidence: 99%

Section: Feedback Componentsmentioning

confidence: 99%

Section: Feedback Componentsmentioning

confidence: 99%

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Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

Brennan

Dorronzoro

Caulfield

2019

Sensors

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“…It has been suggested that the use of smartphone applications has a great potential to achieve these goals (18). In fact, the combination of smartphone apps with healthcare professionals' intervention to promote self-management may improve adherence, participation, and long-term e cacy (24)(25)(26). Technology implantation has a key role in current practice for the control and treatment of RA, and to enhance patients' satisfaction and general wellness (26).…”

Section: Introduction Background and Rationale {6a}mentioning

confidence: 99%

A mobile app using therapeutic exercise and education for self-management in patients with hand rheumatoid arthritis. A randomized controlled trial protocol.

Sánchez-Laulhé¹,

Romero

Blanquero

et al. 2020

Preprint

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• Background: Therapeutic exercise is a safe and cost-effective approach to alleviate hand rheumatoid arthritis (RA) related symptoms. This study aims to investigate the differences in self-management between a smartphone app (CareHand), using hand exercises and educational advices, compared with a standard approach, on hand overall function, pain intensity, stiffness, and grip and pinch strength in patients with hand RA.• Methods: The project is a prospective, longitudinal, superiority, randomized controlled trial. Fifty-eight participants with hand RA will be randomly assigned into an experimental group (CareHand app) or a control group (conventional treatment). Control intervention involves a paper sheet with exercises and recommendations, and the experimental group includes the use of a smartphone app, which provides individualized exercise programmes, self-management and educational strategies to promote adherence to treatment. Both intervention protocols will last for 3 months. The principal investigator will conduct an educational session at baseline for all participants. Primary outcome comprises the overall hand function, assessed with the Michigan Hand Outcome Questionnaire (MHQ). Secondary outcomes include self-reported functional ability with the Quick DASH questionnaire, self-reported pain intensity and morning stiffness using a Visual Analogue Scale (VAS), and hand grip and pinch strength (dynamometer). Outcome measures will be collected at baseline, and at 1 month and 3-month follow-up.• Discussion: This study will evaluate the effectiveness of a telerehabilitation tool, which uses exercise and self-management strategies, compared to a conventional approach, in patients with hand RA. The smartphone app will allow to monitor the patient´s status, and to enhance patient-therapist communication. Some limitations may be related to the short follow-up duration and the lack of evaluation of psychosocial factors. Overall, this new way of promoting long-term effects in patients with a chronic rheumatic disease could be feasible and easy to implement in daily life clinical practice and current musculoskeletal care.• Trial registration: ClinicalTrials.gov Identifier: NCT04263974. Registered 7 March 2020. Date of last update 15 April 2020. Ethics committee code: PI_RH_2018.

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mHealth applications to support caregiver needs and engagement during stroke recovery: A content review

Lobo

Frølich

Kensing

et al. 2020

Research in Nursing & Health

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Caregiving in stroke results in severe physical, psychological, and social impacts on the caregiver. Over the past few years, researchers have explored the use of mHealth technologies to support healthcare-related activities due to their ability to provide real-time care at any given place or time. The purpose of this content review is to investigate mHealth apps in supporting stroke caregiving engagement based on three aspects: motivation, value, and satisfaction. We searched app stores and repositories for apps related to stroke caregiving published up to September 2020. Extracted apps were reviewed and filtered using inclusion criteria, and then downloaded onto compatible devices to determine eligibility. Results were compared with evidence-based frameworks to identify the ability of these apps in engaging and supporting the caregiver. Forty-seven apps were included in this review that enabled caregivers to support their needs, such as adjustment to new roles and relationships, involvement in care and caring for oneself using several different functionalities. These functionalities include information resources, risk assessment, remote monitoring, data sharing, reminders and so on. However, no single app was identified that focuses on all aspects of stroke caregiving. We also identified several challenges faced by users through their reviews and the factors associated with value and satisfaction. Our findings can add to the knowledge of existing mHealth technologies and their functionalities to support stroke caregiving needs, and the importance of considering user engagement in the design. They can be used by developers and researchers looking to design better mHealth apps for stroke caregiving.

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Exercises using a touchscreen tablet application improved functional ability more than an exercise program prescribed on paper in people after surgical carpal tunnel release: a randomised trial

Cited by 29 publications

References 35 publications

Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

A mobile app using therapeutic exercise and education for self-management in patients with hand rheumatoid arthritis. A randomized controlled trial protocol.

mHealth applications to support caregiver needs and engagement during stroke recovery: A content review

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