Multidisciplinary Support To Access living donor Kidney Transplant (MuST AKT): A Clinical Research Protocol for a Pilot Randomized Controlled Trial to Increase Living Kidney Donation
Bibliographic record
Abstract
Background: Living donor kidney transplantation (LDKT) is the optimal treatment for eligible patients with kidney failure, although it is underutilized. Contextually tailored patient- and family-centered interventions may be effective to increase LDKT. Objective: We outline a protocol to test the feasibility of the Multidisciplinary Support To Access living donor Kidney Transplant (MuST AKT) intervention designed to increase LDKT. Design: Non-blinded single-center pilot randomized controlled trial with a qualitative interview component. Setting: Academic transplant referral center in Northern Alberta Region with a population of more than 2 million in its catchment area. Patients: English-speaking patients of the age range 18 to 75 years who are referred for kidney transplantation are eligible to participate. Measurements: Feasibility will be assessed by indicators of recruitment, retention, and completion rates, treatment fidelity, adherence to intervention, engagement in intervention, and acceptability. Methods: Participants will be randomly assigned 1:1 to either standard care (control) or the experimental group who receive standard care plus the MuST AKT intervention, a person-centered program designed to assist and enable the kidney transplant candidate to achieve what is required to receive an LDKT. The intervention consists of an introductory session and 4 intervention sessions delivered in-person or virtually. Limitations: Inferences cannot be drawn regarding the efficacy/effectiveness of the MuST AKT intervention. This study is non-blinded. Conclusions: This pilot study is the first step in our broader initiative to increase LDKT in our health care jurisdiction. The results of this study will be used to inform the development of a future definitive randomized controlled trial. Trial registration number: NCT04666545.
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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 | 0.053 | 0.042 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.045 | 0.006 |
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".