Large variations in the practice patterns of surgical antiseptic preparation solutions in patients with open and closed extremity fractures: a cross-sectional survey
Bibliographic record
Abstract
Background: Surgically-managed fractures, particularly open fractures, are associated with high rates of surgical site infections (SSIs). To reduce the risk of an SSI, orthopaedic surgeons routinely clean open fracture wounds in the emergency department (ED) and then apply a bandage to the open wound. Prior to the surgical incision, it is standard practice to prepare the fracture region with an antiseptic skin solution as an additional SSI prevention strategy. Multiple antiseptic solutions are available. Objectives: To explore the variation in practice patterns among orthopaedic surgeons regarding antiseptic solution use in the ED and antiseptic preparatory techniques for fracture surgery. Methods: We developed a 27-item survey and surveyed members of several orthopaedic associations. Results: Two hundred and-ten surveys were completed. 71.0% of respondents irrigate the open wound and skin in the ED, primarily with saline alone (59.7%) or iodine-based solutions (32.9%). 90.5% of responders indicated that they dress the open wound in the ED, with 41.0% applying a saline-soaked bandage and 33.7% applying an iodine-soaked dressing (33.7%). In their surgical preparation of open fractures, 41.0% of respondents used an iodine-based solution, 26.7% used a chlorhexidine gluconate (CHG)-based solution, and 31.4% used a combination of the two. In closed fractures, 43.8% of respondents used a CHG-based solution, 28.1% used an iodine-based solution, and 27.1% used a combination. Despite theoretical concerns about the use of alcohol in open wounds, 51.4% used alcohol-based solutions or alcohol alone during skin preparation of open fractures. Conclusions: A lack of consensus exists regarding use of antiseptic surgical preparation solutions for fractures. High-quality clinical research is needed to assess the effectiveness of different surgical antiseptic preparation solutions on patient outcomes in fracture populations.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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".