Feasibility of a hemodialysis safety checklist for nurses and patients: a quality improvement study
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Patients with end-stage renal disease are at high risk for medical errors given their comorbidities, polypharmacy and coordination of care with other hospital departments. We previously developed a hemodialysis safety checklist (Hemo Pause) to be jointly completed by nurses and patients. Our objective was to determine the feasibility of using this checklist during every hemodialysis session for 3 months. METHODS: We conducted a single-center, prospective time series study. A convenience sample of 14 nurses and 22 prevalent in-center hemodialysis patients volunteered to participate. All participants were trained in the administration of the Hemo Pause checklist. The primary outcome was completion of the Hemo Pause checklist, which was assessed at weekly intervals. We also measured the acceptability of the Hemo Pause checklist using a local patient safety survey. RESULTS: There were 799 hemodialysis treatments pre-intervention (13 January-5 April 2014) and 757 post-intervention (5 May-26 July 2014). The checklist was completed for 556 of the 757 (73%) treatments. Among the hemodialysis nurses, 93% (13/14) agreed that the checklist was easy to use and 79% (11/14) agreed it should be expanded to other patients. Among the hemodialysis patients, 73% (16/22) agreed that the checklist made them feel safer and should be expanded to other patients. CONCLUSIONS: The Hemo Pause safety checklist was acceptable to both nurses and patients over 3 months. Our next step is to spread this checklist locally and conduct a mixed methods study to determine mechanisms by which its use may improve safety culture and reduce adverse events.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it