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Record W4403657315 · doi:10.1177/20543581241289196

An Exercise and Wellness Behavior Change Program for Solid Organ Transplant: A Clinical Research Protocol for the Transplant Wellness Program

2024· article· en· W4403657315 on OpenAlexaffabout
Jenna A. P. Sim, Maneka A. Perinpanayagam, Vanessa Bahry, Kathryn Wytsma-Fisher, Kelly W. Burak, Debra Isaac, Stefan Mustata, S. Nicole Culos‐Reed

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2024
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsPrehabilitationMedicinePhysical therapyQuality of life (healthcare)Intervention (counseling)Randomized controlled trialNursingInternal medicine

Abstract

fetched live from OpenAlex

Background: Exercise prehabilitation is an evidence-based, safe, and effective method to increase quality of life, physical fitness and function, and post-surgical outcomes in solid organ transplant (SOT) patients. However, few prehabilitation programs for SOT patients exist in practice. Furthermore, there is a lack of multimodal prehabilitation programs that include behavior change support. To address this need, the Transplant Wellness Program (TWP) was designed. Objectives: The objective of the TWP is to assess both the effectiveness and implementation of a comprehensive and multimodal exercise and wellness behavior change intervention for patients undergoing kidney or liver transplant. Design: The TWP is a hybrid effectiveness-implementation trial consisting of exercise and wellness behavior change support. Patients: Individuals who are in evaluation or listed for kidney or liver transplant in Southern Alberta, Canada. Measurements: The primary outcomes of self-reported exercise and quality of life are assessed at intake, post-exercise intervention, 6 months post-intake, 12 weeks post-transplant, and annually for 5 years after program completion. Functional fitness measures will be assessed at intake, post-exercise intervention, 12 weeks post-transplant, 6 months post-intake, and 1-year post-intake. The reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework is used to determine the impact of TWP at the individual and health care system level. Methods: Recruitment began in November 2023 and will continue until November 2028. Participants take part in a 12-week exercise intervention and are offered individualized and group behavior change support. Continued exercise support is offered through maintenance classes after the completion of the 12-week intervention. Limitations: The design of the hybrid effectiveness-implementation trial with a single experimental group will not allow for comparisons to a control or usual care group, potentially impacting internal validity. Differences in number of participants between organ groups (kidney vs liver) and cohorts (pre-transplant vs post-transplant) will likely be uneven, requiring consideration when running and interpreting analyses. Conclusions: The TWP aims to support patients throughout the transplant journey through a multimodal and comprehensive exercise and wellness behavior change program. Results from this study will determine the effectiveness of the program and inform future scale-up and sustainability. Trial registry number: NCT06367244.

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)0.029
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.052
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.018
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0030.003
Science and technology studies0.0070.002
Scholarly communication0.0030.003
Open science0.0040.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0520.012

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 head0.157
GPT teacher head0.509
Teacher spread0.352 · 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 designNot applicable
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

Citations6
Published2024
Admission routes2
Has abstractyes

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