The use of evaluation tool for ultrasound skills development and education to assess the extent of point-of-care ultrasound adoption in lebanese emergency departments
Bibliographic record
Abstract
BACKGROUND: Previously acknowledged as "bedside ultrasound", point-of-care ultrasound (PoCUS) is gaining great recognition nowadays and more physicians are using it to effectively diagnose and adequately manage patients. To measure previous, present and potential adoption of PoCUS and barriers to its use in Canada, Woo et al established the questionnaire "Evaluation Tool for Ultrasound skills Development and Education" (ETUDE) in 2007. This questionnaire sorted respondents into innovators, early adopters, majority, and nonadopters. OBJECTIVES: In this article, we attempt to evaluate the prevalence of PoCUS and the barriers to its adoption in Lebanese EDs, using the ETUDE. MATERIALS AND METHODS: The same questionnaire was again utilized in Lebanon to assess the extent of PoCUS adoption. Our target population is emergency physicians (EPs). To achieve a high response rate, hospitals all over Lebanon were contacted to obtain contact details of their EPs. Questionnaires with daily reminders were sent on daily basis. RESULTS: The response rate was higher in our population (78.8%) compared to Woo et al's (36.4%), as the questionnaire was sent by email to each physician with subsequent daily reminders to fill it. In fact, out of the total number of the surveyed (85 physicians), respondents were 67, of which 76.1% were males and of a median age of 43. Using ETUDE, results came as nonadopters (47.8%), majority (28.3%), early adopters (16.4%), and innovators (7.5%). Respondents advocated using PoCUS currently and in the future in five main circumstances: focused assessment with sonography in trauma (FAST) (current 22.9%/future 62.9%), first-trimester pregnancy (current 17.1%/future 68.6%), suspected abdominal aortic aneurysm (current 5.7%/future 51.4%), basic cardiac indications (current 8.6%/future 57.1%), and central venous catheterization (current 22.9%/future 85.7%). CONCLUSION: This study is the first to tackle the extent of use and the hurdles to PoCUS adoption in Lebanese emergency medicine practice, using ETUDE. The findings from this study can be used in Lebanon to strengthen PoCUS use in the future.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".