MétaCan
Menu
Back to cohort
Record W2594540780 · doi:10.1111/dmcn.13414

The cost‐effectiveness of a web‐based multimodal therapy for unilateral cerebral palsy: the Mitii randomized controlled trial

2017· article· en· W2594540780 on OpenAlexaboutno aff
Tracy Comans, Gabor Mihala, Leanne Sakzewski, Roslyn N. Boyd, Paul Scuffham

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2017
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilQueensland GovernmentFinancial Markets Foundation for Children
KeywordsCerebral palsyRandomized controlled trialMultimodal therapyMedicinePhysical therapyPhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

AIM: To estimate the cost-effectiveness of the Mitii training system for improvements in upper limb function for children with unilateral cerebral palsy (CP). Mitii is a web-based programme delivered at home with set-up and monitoring by therapists. METHOD: A randomized controlled trial was conducted comparing the Mitii training programme to usual care. The Assessment of Motor and Process Skills (AMPS) and Canadian Occupational Performance Measure (COPM) were collected for each child at baseline and 20 weeks. Responders to training were characterized as those who met a minimally important difference on either the AMPS (0.3 logits) or COPM (2 points). Costs of the intervention were calculated by quantifying the equipment and staff cost. A cost per responder was calculated for each of the outcome measures. RESULTS: A total of 102 participants (52 males, 50 females) were included in the analysis. There were significantly more responders in the training group on both the AMPS motor and process scales and the COPM performance and satisfaction scales. The cost per responder for the Mitii programme ranged from AU$3078 to AU$4191 depending on the scale used. INTERPRETATION: The cost of delivering the Mitii training system is modest relative to the improvements in function.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.071
Threshold uncertainty score0.791

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.020
GPT teacher head0.300
Teacher spread0.279 · 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

Citations46
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueDevelopmental Medicine & Child NeurologySame topicCerebral Palsy and Movement DisordersFrench-language works237,207