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Record W4283688454 · doi:10.1186/s12887-022-03381-4

A multi-center, pragmatic, effectiveness-implementation (hybrid I) cluster randomized controlled trial to evaluate a child-oriented goal-setting approach in paediatric rehabilitation (the ENGAGE approach): a study protocol

2022· article· en· W4283688454 on OpenAlexafffund
Lesley Pritchard, Sandy Thompson‐Hodgetts, Ashley B. McKillop, Rhonda J. Rosychuk, Kelly Mrklas, Lonnie Zwaigenbaum, Jennifer Zwicker, John Andersen, Gillian King, Pegah Firouzeh

Bibliographic record

VenueBMC Pediatrics · 2022
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalAlberta Health ServicesAlberta HealthUniversity of CalgaryUniversity of Alberta HospitalUniversity of Alberta
FundersAlberta Health Services
KeywordsMedicineRehabilitationRandomized controlled trialProtocol (science)Cluster (spacecraft)Cluster randomised controlled trialPhysical therapyPhysical medicine and rehabilitationAlternative medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Child-oriented goal-setting in pediatric rehabilitation may improve child motivation, engagement in therapy, child outcomes related to therapy, and service delivery efficiency. The primary objective of this trial is to determine the effectiveness of a principles-driven, child-focused approach to goal-setting, Enhancing Child Engagement in Goal-Setting (ENGAGE), on pediatric rehabilitation outcomes compared to usual practice. The three secondary objectives are to 1) compare costs and secondary outcomes of the ENGAGE approach to usual practice, 2) determine the influence of child, parent and therapist characteristics on child engagement in therapy and rehabilitation outcomes, and 3) identify barriers and facilitators to the implementation of ENGAGE. METHODS: This research protocol describes a pragmatic, multi-site, cluster, effectiveness-implementation (hybrid type 1 design) randomized controlled trial. Therapists (n = 12 clusters of two therapists) at participating sites (n = 6) will be randomized to 1) the ENGAGE intervention group, or 2) usual care (control) using a computer-generated, permuted-block randomization sequence with site as a stratification variable designed by a statistician (RR). Each therapist will recruit four children 5-12 years old with neurodevelopmental conditions (n = 96), who will receive ENGAGE or usual care, according to therapist group allocation. ENGAGE therapists will be trained to use a 'toolbox' of evidence-driven, theory-informed principles to optimize child and parent motivation, engagement in the goal-setting process, and performance feedback strategies. Outcomes include goal performance (primary outcome), engagement in therapy, functional abilities, participation, and parent and child quality of life. Qualitative interviews with children, parents, ENGAGE therapists, and managers will explore challenges to implementation and potential mitigation strategies. Mixed effects multiple linear regression models will be developed for each outcome to assess group differences adjusted for clustering. A cost-effectiveness analysis will combine cost and a measure of effectiveness into an incremental cost-effectiveness ratio. Qualitative data on implementation will be analyzed inductively (thematic analysis) and deductively using established implementation science frameworks. DISCUSSION: This study will evaluate the effects of collaborative goal-setting in pediatric rehabilitation and inform effective implementation of child-focused goal-setting practices. TRIAL REGISTRATION: NCT05017363 (registered August 23, 2021 on ClinicalTrials.gov).

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)0.023
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.015
GPT teacher head0.332
Teacher spread0.317 · 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
GenreProtocol

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

Citations17
Published2022
Admission routes2
Has abstractyes

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