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A protocol for a single-arm, mixed methods, hybrid effectiveness-implementation trial evaluating the IMplementation of Physical Activity for Children and adolescents on Treatment (IMPACT) for cancer diagnoses in Alberta

2025· preprint· en· W4411452332 on OpenAlexaffabout
Emma McLaughlin, Nicole Culos-Reed, Carolina Chamorro-Viña, Beverly Wilson, Sara Fisher, Gregory M.T. Guilcher, Bridget Penney and in memory of Mira Penney, Janine Wich and Laura Wich, Amanda Wurz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsStollery Children's HospitalUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsProtocol (science)Medical diagnosisMedicineRadiologyAlternative medicinePathology

Abstract

fetched live from OpenAlex

Background: Physical activity (PA) is feasible, safe, beneficial, and recommended for pediatric cancer patients, yet PA levels are low due to numerous barriers. Delivering PA by videoconference may address selected barriers. Few have explored this delivery modality; in response the IMplementation of Physical Activity for Children and adolescents on Treatment (IMPACT) intervention (a PA intervention) was developed. Methods: The IMPACT intervention is delivered by videoconference and is being evaluated in a single-arm, mixed methods, type II hybrid effectiveness-implementation trial. Pediatric cancer and blood disorder patients diagnosed between 5-18 years old are eligible. Participants are offered tailored PA sessions 3 times/week for 15-45 minutes/session over 12-weeks. The co-primary aims of this trial are to: (1) assess the effectiveness of the videoconference-delivered PA intervention on participant’s objective PA (primary effectiveness outcome) and secondary effectiveness outcomes of participant- and caregiver-reported outcomes, and physical fitness outcomes at baseline, post-intervention, and 6 and 12-month follow-ups, and (2) assess implementation of the PA intervention and trial through evaluating recruitment, indices of feasibility, delivery time, expertise, cost, fidelity of intervention delivery, and adverse events. Interviews are conducted post-intervention with participants and caregivers to explore perceptions of and experiences with the intervention. Implementation data are tracked throughout and quality improvement cycles occur every 6 months. Trial data are analyzed at pre-specified time-points. Conclusions: This work will provide insights into the effects and factors influencing PA intervention implementation. Findings may offer support for videoconference delivery as a strategy to ensure more pediatric patients can access and benefit from PA.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.062
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.096
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0620.041
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0030.003
Science and technology studies0.0060.004
Scholarly communication0.0050.003
Open science0.0050.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0960.013

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 head0.138
GPT teacher head0.570
Teacher spread0.431 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized 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

Citations0
Published2025
Admission routes2
Has abstractyes

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