KEeP ACTIVe Club Study: Kidney Transplant Recipients’ Experiences of a Physical Activity and Social Interaction Virtual Group
Bibliographic record
Abstract
Background: It can be difficult for kidney transplant recipients (KTRs) to be physically active after their transplantation. Physical inactivity is a risk factor for cardiovascular disease, one of the leading cause of death among KTRs. To help KTRs start and maintain a physical activity routine, we developed the KEeP ACTIVe Club, a 6-month online intervention with access to a kinesiologist, a patient partner, and a private support group with an online platform (Facebook). Objective: The objective of this study was to capture the participants' experiences of the KEeP ACTIVe Club. Design: Individual interviews. Setting: The Center hospitalier de l'Université de Montréal (CHUM) and the McGill University Health Center (MUHC) kidney transplant programs. Participants: Kidney transplant recipients who participated in the KEeP ACTIVe Club. Methods: Between October and December 2021, we conducted 11 individual semi-directed interviews with KTRs from 2 urban kidney transplant programs who participated in the KEeP ACTIVe Club. The interviews were digitally recorded and transcribed. Thematic analysis was conducted. Results: Participants' principal motivation to participate in the KEeP ACTIVe Club was to improve their physical fitness following their transplant in a pandemic period. One of the main benefits of the KEeP ACTIVe Club was the improvement of participant's self-confidence and the knowledge gained regarding exercises adapted to their reality as KTRs. However, the small number of participants and the schedules of classes offered were viewed as a pitfall of the current intervention. Finally, the peer mentoring and support gained by other participants were important and viewed as highly impactful aspects of the KEeP ACTIVe Club. Limitations: Only 11 of the 18 patients who participated in the KEeP ACTIVe Club took part in the interviews. Conclusion: Participants reported a positive experience with the KEeP ACTIVe Club. Peer mentoring and support gained from other participants seem to be essential aspects of the experience within the KEeP ACTIVe Club. This program is a good avenue to offer in post-transplant care to help KTRs to be more active and to connect with other patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".