834 Feasibility of teaching first response to children below 10 years in rural Bangladesh
Bibliographic record
Abstract
Background One research activity established a community-based first response system including CPR. Participants were aged 10 years and over and each age group demonstrated that they could successfully learn CPR and retain the skills over time. Another research activity involved teaching children 4 years old and over basic swimming skills and safe rescue. Follow-up research on the children showed that many conducted rescues. The average age of rescuer and rescuee was 9 years and 3 years respectively. Some rescues were not successful as the victim lacked a pulse and respiration. This demonstrated a need for children younger than 10 years old to be able to resuscitate young children. The objective of the study was to develop a group of young community first responders between the ages of 7 and 9 years to provide first aid and CPR in order to demonstrate whether first responders in that age group were able to provide emergency response when required Methods Ten community swimming instructors (CSIs) were trained to teach first aid and CPR to children 7–9 years. The CSIs participated in a two-day intensive training-of-trainers activity. A standard first aid course including CPR was taught to the children using child manikins following swim training in the SwimSafe program. Results A total of 811 children participated in the training programme. The male:female proportion was 51.2 percent and 48.8 percent. A total of 82.5 percent of participants passed the first aid and CPR certification process. Passing rates were similar for both sexes and the highest passing rates were noted in 7 year old boys (85.0 percent) and girls (87.0 percent). Conclusion Children aged 7–9 years old can learn the skills of first aid and CPR. Further research is needed to demonstrate that skills are retained over time and that once trained, these young children can provide successful first response activities in emergencies that include CPR.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".