Evidence map›Paper›PMID 30323946›Full record

ArticlePilot and feasibility studies2018

Evaluation of a smartwatch-based intervention providing feedback of daily activity within a research-naive stroke ward: a pilot randomised controlled trial.

Sophie Lawrie, Yun Dong, Dax Steins, Zhidao Xia, Patrick Esser, Shanbin Sun, Fei Li, James D Amor, Christopher James, Hooshang Izadi and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in Pilot and feasibility studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02587585 (An International Randomized Clinical Trial of Activity Feedback During In-patient Stroke Rehabilitation Enabled by Smart Watches), which is not on this map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02587585 naunknown statusnot on this map

An International Randomized Clinical Trial of Activity Feedback During In-patient Stroke Rehabilitation Enabled by Smart Watches

TypeinterventionalSponsorThe Second Affiliated Hospital of Anhui University of Traditional Chinese MedicineRan2015 to 2018Enrolled200ConditionsStrokeArmsFeedback against tailored target, No feedback
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sophie Lawrie *1Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sport, Health Sciences and Social Work, Oxford Brookes University, Headington Campus, Headington Road, Gipsy Lane, Oxford, OX3 0BP UK.
Yun Dong *2Rehabilitation Centre, the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui Province China.
Dax Steins1Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sport, Health Sciences and Social Work, Oxford Brookes University, Headington Campus, Headington Road, Gipsy Lane, Oxford, OX3 0BP UK.
Zhidao Xia1Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sport, Health Sciences and Social Work, Oxford Brookes University, Headington Campus, Headington Road, Gipsy Lane, Oxford, OX3 0BP UK.
Patrick Esser1Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sport, Health Sciences and Social Work, Oxford Brookes University, Headington Campus, Headington Road, Gipsy Lane, Oxford, OX3 0BP UK.
Shanbin Sun2Rehabilitation Centre, the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui Province China.
Fei Li2Rehabilitation Centre, the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui Province China.
James D Amor3School of Engineering, University of Warwick, Coventry, CV4 7AL UK.
Christopher James3School of Engineering, University of Warwick, Coventry, CV4 7AL UK.
Hooshang Izadi1Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sport, Health Sciences and Social Work, Oxford Brookes University, Headington Campus, Headington Road, Gipsy Lane, Oxford, OX3 0BP UK.
Yi Cao2Rehabilitation Centre, the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui Province China.
Derick Wade1Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sport, Health Sciences and Social Work, Oxford Brookes University, Headington Campus, Headington Road, Gipsy Lane, Oxford, OX3 0BP UK.
Nancy Mayo4School of Physical and Occupational Therapy, McGill University, 3654 Prom Sir-William-Osler, Montréal, Québec H3G 1Y5 Canada.
Helen Dawes1Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sport, Health Sciences and Social Work, Oxford Brookes University, Headington Campus, Headington Road, Gipsy Lane, Oxford, OX3 0BP UK.
Smart Watch Activity Feedback Trial Committee (SWAFT)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of stroke patients are inactive outside formal therapy sessions. Tailored activity feedback via a smartwatch has the potential to increase inpatient activity. The aim of the study was to identify the challenges and support needed by ward staff and researchers and to examine the feasibility of conducting a randomised controlled trial (RCT) using smartwatch activity monitors in research-naive rehabilitation wards. Objectives (Phase 1 and 2) were to report any challenges and support needed and determine the recruitment and retention rate, completion of outcome measures, smartwatch adherence rate, (Phase 2 only) readiness to randomise, adherence to protocol (intervention fidelity) and potential for effect.

methodsFirst admission, stroke patients (onset < 4 months) aged 40-75, able to walk 10 m prior to stroke and follow a two-stage command with sufficient cognition and vision (clinically judged) were recruited within the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine. Phase 1: a non-randomised observation phase (to allow practice of protocol)-patients received no activity feedback. Phase 2: a parallel single-blind pilot RCT. Patients were randomised into one of two groups: to receive daily activity feedback over a 9-h period or to receive no activity feedback. EQ-5D-5L, WHODAS and RMI were conducted at baseline, discharge and 3 months post-discharge. Descriptive statistics were performed on recruitment, retention, completion and activity counts as well as adherence to protocol.

resultsOut of 470 ward admissions, 11% were recruited across the two phases, over a 30-week period. Retention rate at 3 months post-discharge was 48%. Twenty-two percent of patients dropped out post-baseline assessment, 78% completed baseline and discharge admissions, from which 62% were assessed 3 months post-discharge. Smartwatch data were received from all patients. Patients were correctly randomised into each RCT group. RCT adherence rate to wearing the smartwatch was 80%. Baseline activity was exceeded for 65% of days in the feedback group compared to 55% of days in the no feedback group.

conclusionsDelivery of a smartwatch RCT is feasible in a research-naive rehabilitation ward. However, frequent support and guidance of research-naive staff are required to ensure completeness of clinical assessment data and protocol adherence. TRIALS REGISTRATION: ClinicalTrials.gov Identifier, NCT02587585-30th September 2015.

Indexed as

Activity feedbackFeasibilityPhysical activityRehabilitationResearch naiveStroke

Identifiers

PMID30323946
PMCPMC6173888

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.