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Record W4317423226 · doi:10.1002/pmrj.12947

Evaluation of a computer game‐assisted rehabilitation program for manual dexterity of children with cerebral palsy: Feasibility randomized control trial

2023· article· en· W4317423226 on OpenAlexaff
Anuprita Kanitkar, Sanjay Tejraj Parmar, Tony Szturm, Gayle Restall, Gina Rempel, Nariman Sepehri, Nilahri Naik

Bibliographic record

VenuePM&R · 2023
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsGRASPCerebral palsyPhysical medicine and rehabilitationRehabilitationRandomized controlled trialPhysical therapyTask (project management)MedicinePsychologyComputer scienceSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: There is a need for innovation to improve the engagement and compliance of rehabilitation programs for children with upper extremity (UE) motor impairments due to cerebral palsy (CP); a computer games-based rehabilitation platform (GRP) was developed to address this need. The GRP provides engaging task-specific exercises targeting manual dexterity (object handling and manipulation). OBJECTIVE: To evaluate the therapeutic value and treatment effect size of an exercise program using the GRP in children with CP. METHODS: A total of 63 children with CP, aged 4 to 10 years, were recruited. The Peabody Developmental Motor Scale-2 (PDMS-2) Grasp and Visual-Motor Integration (VMI) subscores and Computer game-based Upper Extremity (CUE) assessment of manual dexterity were used to assess participants before and after a 16-week intervention program, delivered three times per week. The experimental group (XG) received a computer games-based exercise program targeting object manipulation tasks. The active control arm (CG) consisted of task-specific training similar to the tasks used in constrained induced movement therapy. RESULTS: There were only a few dropouts during the 16-week program, and compliance was high. Both groups showed significant improvements with medium to large effect sizes. Improvements in the PDMS-2 Grasp and VMI subscores observed in the XG were significantly greater than that in the CG. There were significant improvements (p < .01) in PDMS-2 grasp and VMI subscores for XG with moderate to large effect sizes (0.5-0.8). For CG, the Grasp and VMI subscores did improve but these changes were not statistically significant. There was a significant improvement observed in the majority of CUE object manipulation test scores for XG (p < .01) with moderate to large effect sizes (0.50-1.2) Although CG did show improvements in all CUE object manipulation test scores, the changes did not reach statistical significance (p < .01). CONCLUSION: This study demonstrates the utility of the GRP to practice a broad range of object manipulation tasks in children with CP. The present findings are positive and support further research and development. The long-term effects of the GRP program in children with CP will need to be confirmed in a future randomized controlled trial. In addition to measures of structure and function, future trials should also include outcome measures such as health-related quality of life and level of participation to validate the findings.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.306
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.352
Teacher spread0.316 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2023
Admission routes1
Has abstractyes

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