Literature DB >> 25605632

Use of Accelerometer-Based Feedback of Walking Activity for Appraising Progress With Walking-Related Goals in Inpatient Stroke Rehabilitation: A Randomized Controlled Trial.

Avril Mansfield1, Jennifer S Wong2, Jessica Bryce3, Karen Brunton2, Elizabeth L Inness2, Svetlana Knorr3, Simon Jones3, Babak Taati4, William E McIlroy5.   

Abstract

BACKGROUND: Regaining independent ambulation is important to those with stroke. Increased walking practice during "down time" in rehabilitation could improve walking function for individuals with stroke.
OBJECTIVE: To determine the effect of providing physiotherapists with accelerometer-based feedback on patient activity and walking-related goals during inpatient stroke rehabilitation.
METHODS: Participants with stroke wore accelerometers around both ankles every weekday during inpatient rehabilitation. Participants were randomly assigned to receive daily feedback about walking activity via their physiotherapists (n = 29) or to receive no feedback (n = 28). Changes in measures of daily walking (walking time, number of steps, average cadence, longest bout duration, and number of "long" walking bouts) and changes in gait control and function assessed in-laboratory were compared between groups.
RESULTS: There was no significant increase in walking time, number of steps, longest bout duration, or number of long walking bouts for the feedback group compared with the control group (P values > .20). However, individuals who received feedback significantly increased cadence of daily walking more than the control group (P = .013). From the in-laboratory gait assessment, individuals who received feedback had a greater increase in walking speed and decrease in step time variability than the control group (P values < .030).
CONCLUSION: Feedback did not increase the amount of walking completed by individuals with stroke. However, there was a significant increase in cadence, indicating that intensity of daily walking was greater for those who received feedback than the control group. Additionally, more intense daily walking activity appeared to translate to greater improvements in walking speed.
© The Author(s) 2015.

Entities:  

Keywords:  goal setting; physical activity; rehabilitation; stroke; technology; walking

Mesh:

Year:  2015        PMID: 25605632     DOI: 10.1177/1545968314567968

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  21 in total

Review 1.  Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice.

Authors:  Bruce H Dobkin; Clarisa Martinez
Journal:  Curr Neurol Neurosci Rep       Date:  2018-10-06       Impact factor: 5.081

2.  Validity of the Fitbit One for Measuring Activity in Community-Dwelling Stroke Survivors.

Authors:  Jonathan Hui; Richard Heyden; Tim Bao; Nicholas Accettone; Catherine McBay; Julie Richardson; Ada Tang
Journal:  Physiother Can       Date:  2018       Impact factor: 1.037

3.  A Rehabilitation-Internet-of-Things in the Home to Augment Motor Skills and Exercise Training.

Authors:  Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2016-11-24       Impact factor: 3.919

4.  Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs).

Authors:  Hamed Abedtash; Richard J Holden
Journal:  J Am Med Inform Assoc       Date:  2017-09-01       Impact factor: 4.497

Review 5.  Activity monitors for increasing physical activity in adult stroke survivors.

Authors:  Elizabeth A Lynch; Taryn M Jones; Dawn B Simpson; Natalie A Fini; Suzanne S Kuys; Karen Borschmann; Sharon Kramer; Liam Johnson; Michele L Callisaya; Niruthikha Mahendran; Heidi Janssen; Coralie English
Journal:  Cochrane Database Syst Rev       Date:  2018-07-27

Review 6.  Interventions for preventing falls in older people in care facilities and hospitals.

Authors:  Ian D Cameron; Suzanne M Dyer; Claire E Panagoda; Geoffrey R Murray; Keith D Hill; Robert G Cumming; Ngaire Kerse
Journal:  Cochrane Database Syst Rev       Date:  2018-09-07

Review 7.  The Effectiveness of Lower-Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: A Systematic Review.

Authors:  Lauren Powell; Jack Parker; Marrissa Martyn St-James; Susan Mawson
Journal:  J Med Internet Res       Date:  2016-10-07       Impact factor: 5.428

8.  Analyzing Sensor-Based Time Series Data to Track Changes in Physical Activity during Inpatient Rehabilitation.

Authors:  Gina Sprint; Diane Cook; Douglas Weeks; Jordana Dahmen; Alyssa La Fleur
Journal:  Sensors (Basel)       Date:  2017-09-27       Impact factor: 3.576

9.  Does feedback on daily activity level from a Smart watch during inpatient stroke rehabilitation increase physical activity levels? Study protocol for a randomized controlled trial.

Authors:  Yun Dong; Dax Steins; Shanbin Sun; Fei Li; James D Amor; Christopher J James; Zhidao Xia; Helen Dawes; Hooshang Izadi; Yi Cao; Derick T Wade
Journal:  Trials       Date:  2018-03-09       Impact factor: 2.279

10.  Promoting Activity in Geriatric Rehabilitation: A Randomized Controlled Trial of Accelerometry.

Authors:  Nancye M Peel; Sanjoy K Paul; Ian D Cameron; Maria Crotty; Susan E Kurrle; Leonard C Gray
Journal:  PLoS One       Date:  2016-08-26       Impact factor: 3.240

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