Quality metrics in solid organ transplantation: protocol for a systematic scoping review
Bibliographic record
Abstract
BACKGROUND: Transplantation is often the best, if not the only treatment for end-stage organ failure; however, the quality metrics for determining whether a transplant program is delivering safe, high quality care remains unknown. The purpose of this study is to identify and describe quality indicators or metrics in patients who have received a solid organ transplant. METHODS/DESIGN: We will conduct a systematic scoping review to evaluate and describe quality indicators or metrics in patients who have received a solid organ transplant. We will search MEDLINE, Embase, and the Cochrane Central Register for Controlled Trials. Two reviewers will conduct all screening and data extraction independently. The articles will be categorized according to the six domains of quality, and the metrics will be appraised using criteria for a good quality measure. DISCUSSION: The results of this review will guide the development, selection, and validation of appropriate quality metrics necessary to drive quality improvement in transplantation. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016035353 .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".