Seeing Eye to Eye: The Key to Reducing Catheter Use
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Hemodialysis central venous catheters (CVCs) are increasingly used, despite a prevalence target of <10%. The primary aim of our study was to understand why patients persistently use their CVCs. METHODS: A multicenter prospective observational study surveyed 322 patients and their vascular access coordinators (VACs) to determine the reasons patients use CVCs. Their responses were compared using multirater kappa statistics. An 18-month follow-up survey was applied to a subgroup of patients consistently using their CVCs, and correlated with the VACs' and patients' previous responses. Predictive associations for specific reasons for CVC use were explored. RESULTS: Patients indicated "non-medical" reasons (34.8%), having previously failed fistulas/grafts (25.8%), and fear of disfiguration (11.5%) as the main reasons for CVC use. The VAC was in agreement with the patient 16.5% of the time, in partial agreement 37.0%, and in disagreement 46.5%. Twelve percent of patients indicated a desire to change their CVC, yet the VAC was unaware of this 78% of the time. CONCLUSIONS: The primary reasons patients use CVCs are "non-medical" followed by concerns with the complications and esthetic appearance associated with fistulas/grafts. The significant discordance between the reasons the patients give and the VAC's view of patient reasons for CVC use suggests a gap in knowledge, understanding, or communication between patients and their VACs. Timely predialysis education to address this gap and realistic targets are necessary to reduce CVC prevalence.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it