scholarly journals Using mixed methods to evaluate efficacy and user expectations of a virtual reality–based training system for upper-limb recovery in patients after stroke: a study protocol for a randomised controlled trial

Trials ◽  
2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Corina Schuster-Amft ◽  
Kynan Eng ◽  
Isabelle Lehmann ◽  
Ludwig Schmid ◽  
Nagisa Kobashi ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Mixed Methods ◽  
Randomised Controlled Trial ◽  
Study Protocol ◽  
Upper Limb ◽  
Controlled Trial ◽  
Training System ◽  
User Expectations ◽  
Randomised Controlled

scholarly journals Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Ananda Sidarta ◽  
Yu Chin Lim ◽  
Christopher Wee Keong Kuah ◽  
Yong Joo Loh ◽  
Wei Tech Ang
Keyword(s):  
Randomised Controlled Trial ◽  
Study Protocol ◽  
Upper Limb ◽  
Controlled Trial ◽  
Chronic Stroke ◽  
Community Dwelling ◽  
Control Group ◽  
Stroke Survivors ◽  
Pilot Randomised Controlled Trial ◽  
Randomised Controlled

Abstract Background Prior studies have established that senses of the limb position in space (proprioception and kinaesthesia) are important for motor control and learning. Although nearly one-half of stroke patients have impairment in the ability to sense their movements, somatosensory retraining focusing on proprioception and kinaesthesia is often overlooked. Interventions that simultaneously target motor and somatosensory components are thought to be useful for relearning somatosensory functions while increasing mobility of the affected limb. For over a decade, robotic technology has been incorporated in stroke rehabilitation for more controlled therapy intensity, duration, and frequency. This pilot randomised controlled trial introduces a compact robotic-based upper-limb reaching task that retrains proprioception and kinaesthesia concurrently. Methods Thirty first-ever chronic stroke survivors (> 6-month post-stroke) will be randomly assigned to either a treatment or a control group. Over a 5-week period, the treatment group will receive 15 training sessions for about an hour per session. Robot-generated haptic guidance will be provided along the movement path as somatosensory cues while moving. Audio-visual feedback will appear following every successful movement as a reward. For the same duration, the control group will complete similar robotic training but without the vision occluded and robot-generated cues. Baseline, post-day 1, and post-day 30 assessments will be performed, where the last two sessions will be conducted after the last training session. Robotic-based performance indices and clinical assessments of upper limb functions after stroke will be used to acquire primary and secondary outcome measures respectively. This work will provide insights into the feasibility of such robot-assisted training clinically. Discussion The current work presents a study protocol to retrain upper-limb somatosensory and motor functions using robot-based rehabilitation for community-dwelling stroke survivors. The training promotes active use of the affected arm while at the same time enhances somatosensory input through augmented feedback. The outcomes of this study will provide preliminary data and help inform the clinicians on the feasibility and practicality of the proposed exercise. Trial registration ClinicalTrials.gov NCT04490655. Registered 29 July 2020.

scholarly journals Robot Assisted Training for the Upper Limb after Stroke (RATULS): study protocol for a randomised controlled trial

Trials ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Helen Rodgers ◽  
Lisa Shaw ◽  
Helen Bosomworth ◽  
Lydia Aird ◽  
Natasha Alvarado ◽  
...  
Keyword(s):  
Randomised Controlled Trial ◽  
Study Protocol ◽  
Upper Limb ◽  
Controlled Trial ◽  
Robot Assisted ◽  
Randomised Controlled

scholarly journals Upper limb strength training in subacute stroke patients: study protocol of a randomised controlled trial

Trials ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Susan Högg ◽  
Manfred Holzgraefe ◽  
Insa Wingendorf ◽  
Jan Mehrholz ◽  
Christoph Herrmann ◽  
...  
Keyword(s):  
Randomised Controlled Trial ◽  
Strength Training ◽  
Study Protocol ◽  
Upper Limb ◽  
Controlled Trial ◽  
Stroke Patients ◽  
Subacute Stroke ◽  
Randomised Controlled

Habits-GDM mobile application in managing gestational diabetes in Singapore: A mixed-methods study (Preprint)

2020 ◽  
Author(s):  
Shilpa Surendran ◽  
Chang Siang Lim ◽  
Gerald Choon Huat Koh ◽  
Tong Wei Yew ◽  
E Shyong Tai ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Randomised Controlled Trial ◽  
Gestational Diabetes ◽  
Healthcare Professionals ◽  
Controlled Trial ◽  
Perceived Usefulness ◽  
Mixed Methods Study ◽  
Automatic Data ◽  
Glucose Testing ◽  
Randomised Controlled

BACKGROUND The prevalence of gestational diabetes mellitus (GDM) is increasing in Singapore and the cost of providing traditional care for GDM is high. Mobile health (mHealth) applications may act as useful tools in the management of GDM. OBJECTIVE The objective of this mixed-methods study was to measure the usage behaviour and explore users’ perceived usefulness of the Habits-GDM application when managing GDM in a randomised controlled trial. METHODS We conducted a quantitative analysis of the application usage behaviour in 170 Habits-GDM application users and 14 semi-structured interviews with users from a randomised controlled trial. RESULTS The convenience of automatic data transfer of weight values to the Habits-GDM application helped users (116/170, 68%) log their weight at least once a week. However, when the application had usability challenges, users avoided using that feature, i.e. users logged only an average of less than one meal/week out of the recommended six meals/week. Of the usability challenges, many users (12/14, 85.7%) mentioned food items not worded in the commonly known way and limited ethnic food database as the primary barriers. Only half of the users (84/170, 49.4%) accessed the educational lessons, but many (9/14, 64%) identified the provision of always available, valuable health-related information as an advantage of the educational lessons. ‘Healthy eating’ and ‘Why exercise’ were the most (56/84, 66.67%) and least (38/84, 45.24%) frequently accessed educational lessons, respectively. Users (10/14, 71.4%) reported sending messages to the coach via the chat interface only when they faced logistic issues and 86.45% of all the coach messages were replies typed by the research coordinator in response to the logistics issues (i.e. a request for blood glucose testing strips and appointment confirmation) raised by the users. Healthcare professionals lack of access to the coach’s dashboard discouraged users from asking queries related to GDM via the e-coaching feature. CONCLUSIONS The findings suggest that mHealth application acts as a useful tool in managing GDM. Culturally sensitive mHealth applications with a provision for women to interact with healthcare professionals should be developed in cooperation with the users. CLINICALTRIAL Not applicable.

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