Hemodialysis Patients' Satisfaction and Perspectives on Complications associated with Vascular Access Related Interventions: Are We Listening?
Bibliographic record
Abstract
PURPOSE: To understand the patient's perspective on complications associated with vascular access-related interventions. METHODS: A multi-stage comprehensive questionnaire of over 150 items was administered to 140 in-center hemodialysis patients in a large, Toronto-based academic-based facility from May 1, 2011 until July 1, 2014. The questionnaire was divided into three domains: physical complications, disruption to routine, and infection. For each of the 12 prespecified vascular access interventions, there were 9 items about the associated complications. The level of bother associated with complications was measured using a 5-point Likert scale. RESULTS: The mean Likert value (5 = extremely bothered) for the physical complications domain was highest for grafts at 1.92, followed closely by fistulas at 1.87, and catheters at 1.56. The mean Likert value for the "disruption of routine" domain was highest for catheters at 1.44, followed by grafts at 1.37, and fistulas at 1.33. For infectious complications of all vascular access-related interventions the mean Likert value was highest at 1.76 for catheters as compared to fistulas at 1.23 and grafts at 1.22. CONCLUSIONS: For hemodialysis patients, the physical complications associated with needle cannulation of fistulas and grafts are a major source of dissatisfaction, while infectious complications, including catheter-related infections, are not a significant source of their concerns. Future research should focus on developing methods to effectively: (i) reduce the fear and pain associated with cannulation and (ii) educate patients about the risks associated with vascular access-related infection.
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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 | 0.002 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".