155: Impact of a Volunteer Program for Research in a Pediatric Emergency Department
Bibliographic record
Abstract
An important proportion of children visit the emergency department (ED) in the evening and during the week-end. This limits recruitment for research in pediatric ED because it is more challenging to hire research assistants for this time period. The PIEUVRES program involves 12 hours of formal training for first and second year medical students to become research assistants in the ED. Following their training and support from research coordinators, they are able to recruit research participants in a pediatric ED. There is very limited data about the impact of such a volunteer program on research in a clinical setting. The primary objective of this study was to evaluate the additional number of children recruited by a group of medical students volunteer in the research program PIEUVRES. This was an observational study reporting the number of children recruited by the volunteers during PIEUVRES program during the academic year of 2013–14. Volunteers worked a 6-hour recruitment shift per week during a semester. These shifts were distributed among the evenings of the week (4PM–10PM) and during the week-end (10AM–10PM). At the end of each shift they reported the number of patients approached and recruited for each of the (7 eligible) studies. During the study period, there was seven studies for which volunteers could have recruited. The volunteer program occurred from October 19th 2013 until May 11 2014. During this period, the volunteers approached a total of 692 children/families and recruited 262 participants (38%) during 184 shifts. Most patients were recruited for the five observational studies while only 3/9 and 9/38 (recruited/approached) patients were recruited for the two interventional trials. No ethical problem or complaints were received from the families in relation to their interaction with the volunteers. The volunteer program permitted to recruit an important amount of research participants in a pediatric emergency department. This improvement required small financial and human resources.
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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 | 0.051 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".