A Breastfeeding e-Learning Project Based on a Web Forum
Bibliographic record
Abstract
OBJECTIVE: The Internet has introduced new ways of learning that may complement medical training during the residency period. We describe the experience with a new method of e-learning for training in human lactation and breastfeeding counselling. Pediatric residents participated in the Human Lactation Forum maintained by the Spanish Pediatric Association Breastfeeding Committee, a site on the Internet where parents may write in for pediatric advice on breastfeeding. METHODS: From April 2005 to May 2006, 42 pediatric residents from four hospitals in Spain received a month of intensive theoretical training on breastfeeding, and afterward, they took weekly turns answering parents' questions in the forum. Before and after the experience, they completed a pre-post knowledge test and an opinion postexperience questionnaire with open questions. A t-test was used to analyze the differences pre- and posttest; the opinion questionnaire was analyzed qualitatively. RESULTS: The mean age of participants was 28.3 years; 88% were women, and 80% were in their third or fourth year of residency. The percentage of correct answers was higher after participation in the program, and the difference had statistic significance. The residents estimated that nearly a half of their patients needed breastfeeding advice, and they thought that the program improved their knowledge of breastfeeding and their communication skills with mothers. On average, they spent 2.9 hours daily to answer the questions. CONCLUSIONS: The learning experience was positively evaluated by the participants and contributed to increase their knowledge and skills in breastfeeding issues. We think it is a good method for training future pediatricians on breastfeeding management. In addition, the instrument may contribute to improve lactation knowledge among pediatricians.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".