44: The Impact of an Interactive Web-Based Module on Residents' Knowledge and Self-Reported Proficiency with Regard to Ordering Parenteral Nutrition
Bibliographic record
Abstract
Parenteral nutrition (PN) support plays an important role in the management of many hospitalized pediatric patients, yet nutrition education has historically been underrepresented in many residency programs. Online learning is a potential means to augment teaching with regard to parenteral nutrition. Web-based education is advantageous in that it provides enhanced capability for asynchronous access to information. The aim of this project was to assess the impact of an interactive web-based teaching module, designed to improve residents' PN ordering skills, on pediatric trainees' knowledge acquisition and perceived proficiency in ordering PN. Pediatric residents were asked to complete a 30-minute web-based educational module designed to improve their PN ordering skills. Knowledge acquisition was assessed with questions embedded at the beginning and the end of the module. Additionally, first-year pediatric residents (PGY1s) completed self-appraisal and self-confidence questionnaires immediately prior to the module, and one week later, to assess change in perceived proficiency in ordering PN. Residents' test scores (% correct answers) improved significantly following module completion (mean score pre-module: 49% versus post: 77%, P<0.001). Of the PGY1s (n=20), none had ordered PN prior to this assessment but 25% had been exposed to PN previously. Prior to the module, on a scale from 1-7 (1= min; 7=max), 95% of PGY1s found ordering PN stressful (score 5-7) and felt minimally equipped to order PN (score 1-2); however, the vast majority (85%) felt that knowing how to order PN was important (score 6-7). Following module completion (n=13), 75% still felt that ordering PN was stressful but 46% felt more equipped to order PN (mean score post module: 4 versus pre-module: 1; P<0.001). Trainees did not feel confident in correctly ordering various macro- and micronutrients prior to completing the module (0-5% confidence). Their confidence improved by 10-50% following module completion (all comparisons P<0.001, except for sodium and potassium requirements were comparisons were not statistically significant). Similarly, confidence with monitoring of macro- and micronutrients increased by 10-40% after module completion (all comparisons P<0.05, except for glucose monitoring were comparisons were not statistically significant). An interactive online learning module improved pediatric residents' parenteral nutrition-related knowledge and self-reported proficiency in ordering PN, thus providing support for the use of web-based education as a means to support nutrition education and training in the health professions.
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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 | 0.001 | 0.003 |
| 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) | 0.005 | 0.001 |
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".