Development of intervention-related quality indicators for renal clinical pharmacists using a modified Delphi approach
Bibliographic record
Abstract
OBJECTIVE: To develop a list of renal Quality Indicator Drug therapy problems (QI-DTPs) that serve to advance renal pharmacy practice to improve patient care. METHODS: Eighteen (18) renal, clinical pharmacists participated in an internet-based three-round modified Delphi survey. Each of the three rounds took approximately 2 weeks to complete. Panellists rated 30-candidate renal QI-DTPs using seven selection criteria and one overall consensus criterion on a nine-point Likert scale. Consensus was reached if 75% or more of panellists assigned a score of 7-9 on the consensus criterion during the third Delphi round. KEY FINDINGS: All panellists completed three rounds of Delphi survey. Seventeen-candidate renal QI-DTPs met the consensus definition. CONCLUSIONS: A Delphi panel of renal clinical pharmacists successfully identified 17 consensus renal QI-DTPs. Assessment and implementation of these QI-DTPs will serve to advance renal pharmacy practice and improve patient care.
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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 | 0.021 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".