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Record W2913040913 · doi:10.4103/2542-3932.251476

A reminder incentive system promotes the functional recovery of stroke patients with hemiplegia: A large-sample, single-blind, randomized controlled trial

2019· article· en· W2913040913 on OpenAlexaboutno aff
Bin Dong, Da-hong Gao, Yuan-Feng Peng

Bibliographic record

VenueAsia Pacific Journal of Clinical Trials Nervous System Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical medicine and rehabilitationSingle blindRandomized controlled trialStroke (engine)IncentiveSample (material)MedicinePhysical therapyPsychologyInternal medicineEconomicsEngineeringMicroeconomics

Abstract

fetched live from OpenAlex

Background and objectives: Acupuncture and physical rehabilitation training have been shown to promote recovery in stroke patients with hemiplegia. Many patients are unable to consistently complete rehabilitation training because of a variety of factors. The aim of this study was to investigate the effects of wearing a wrist watch with versus without a rehabilitation training-reminder incentive system on locomotor function in stroke patients with hemiplegia.\nParticipants and methods: This large-sample, single-blind, randomized controlled trial will be performed at the Second Affiliated Hospital of Anhui University of Chinese Medicine, Oxford International Rehabilitation Foundation Limited, and Oxford Brookes University. A total of 200 stroke patients with hemiplegia will be randomly divided into a test group and a control group. The two groups of patients will receive routine medication, acupuncture, and rehabilitation training. Patients in the test group will wear a smart watch with a reminder incentive system that encourages them to complete a set amount of personalized physical exercise tasks, and patients in the control group will wear a watch without a reminder incentive system. This study was approved by the Medical Ethics Committee of the Chinese Clinical Trial Registry on June 16, 2015 (approval No. ChiECRCT-20150034). Study protocol: 1.0. Participants will provide written informed consent.\nResults: The primary outcome measure of this study is the differences in the Barthel index measured 3 weeks after discharge (i.e., after 6 weeks of treatment). The secondary outcome measures include neurological deficit scores, National Institutes of Health stroke scale score, Rivermead mobility index, Montreal Cognitive Assessment score, blood pressure, body weight, grip strength, Timed Up and Go Test score, exercise level, EuroQol five dimensions questionnaire score, and adverse events before treatment, after 3 weeks of treatment, and 3 weeks after discharge (after 6 weeks of treatment). In a pilot study, 60 stroke patients with hemiplegia received acupuncture and incentive rehabilitation training. The results showed that in stroke patients with hemiplegia who received elongated needle acupuncture at antagonistic muscles combined with muscle balance exercises, Barthel index and Fugl-Meyer Assessment scale scores increased and Modified Ashworth Scale scores decreased compared with those who received elongated needle acupuncture at antagonistic muscles alone.\nConclusion: We will perform a study involving 200 stroke patients to evaluate whether stroke patients with hemiplegia who receive acupuncture combined with rehabilitation training while wearing a smart watch with a reminder incentive system exhibit better recovery of locomotor function compared with those who receive similar interventions but are not exposed to a reminder incentive system. These experimental data will support the implementation of functional smart device-assisted rehabilitation medical programs.\nTrial registration: This study was registered with Chinese Clinical Trial Registry on August 8, 2015 (registration number: ChiCTR-IOR- 15007179).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.051
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.339
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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