A Systematic Review of Interventions to Prevent Childhood Farm Injuries
Bibliographic record
Abstract
OBJECTIVE: The goal of the study was to systematically review the global body of evidence surrounding the effectiveness of interventions for the prevention of acute pediatric agricultural injuries. A specific focus was the effectiveness of the North American Guidelines for Children's Agricultural Tasks. METHODS: Two reviewers independently screened studies and applied inclusion criteria on the basis of searches of 17 bibliographic databases (eg, Medline and Embase). We also screened reference lists of relevant studies and contacted experts in the area. Studies were included if they represented primary research, a comparison group was used, the study population included children or the intervention was directly applicable to children, and objective outcomes were reported. Two reviewers independently assessed the methodologic quality of included studies with the Downs and Black checklist. A qualitative analysis was performed because of extensive heterogeneity among studies. RESULTS: We included 23 controlled studies, ie, 4 randomized, controlled trials, 5 controlled trials, and 14 quasiexperimental or observational studies. Only 8 of the relevant studies were published in peer-reviewed journals. School-based programs appeared to be effective at increasing short-term knowledge acquisition; outcomes were enhanced with active, hands-on participation, as opposed to passive activities. Safety day camps showed positive results for knowledge acquisition. Tractor training programs and community- and farm-based interventions showed mixed results. Studies examining the North American Guidelines for Children's Agricultural Tasks suggested that uptake improves if dissemination is accompanied by a farm visit from a safety specialist or if information about child development principles is provided in conjunction with the guidelines. CONCLUSIONS: There is a lack of randomized, controlled trials and community-based trials in this area. Studies primarily examined intermediate outcomes, such as knowledge acquisition; few studies evaluated changes in injury rates. The interventions targeted at children and youths that were evaluated focused on educational interventions. There is both the need and potential for the development and evaluation of injury control interventions for children, particularly programs addressing lethal injuries to young/preschool-aged children.
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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 | 0.025 | 0.095 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.009 |
| Bibliometrics | 0.019 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".