Shampoo after craniotomy: a pilot study.
Bibliographic record
Abstract
OBJECTIVES: The primary goal of this study was to assess the effect of postoperative hair-washing on incision infection and health-related quality of life (HRQOL) in craniotomy patients. The objectives of this study were to 1) determine the effect of postoperative hair-washing on incision infection and HRQOL, 2) provide evidence to support postoperative patient hygienic care, and 3) develop neurosurgical nursing research capacity RESEARCH QUESTION: Does hair-washing 72 hours after craniotomy and before suture or clip removal influence postoperative incision infection and postoperative HRQOL? METHODS: A prospective cohort of 100 adult patients was randomized to hair-washing 72-hours postoperatively (n = 48), or no hair washing until suture or clip removal (n = 52). At five to -10 days postoperatively, sutures or clips were removed, incisions were assessed using the ASEPSIS Scale (n = 85) and participants were administered the SF-12 Health Survey (n = 71). At 30 days postoperatively, incisions (n = 70) were reassessed. RESULTS: No differences were found between hair-washing and no hair-washing groups for ASEPSIS scores at five to 10 days and 30 days, and total SF-12 scores at five to 10 days postoperatively (p > or = 0.05). CONCLUSIONS: Postoperative hair-washing resulted in no increase in incision infection scores or decrease in HRQOL scores when compared to no hair-washing in patients experiencing craniotomy.
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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 | 0.001 | 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 | 0.000 | 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".