A Randomized Controlled Trial of Home Injury Hazard Reduction
Bibliographic record
Abstract
OBJECTIVE: To test the efficacy of installing safety devices in the homes of young children on total injury rates and on injuries deemed a priori modifiable by the installation of these devices. DESIGN: A nested, prospective, randomized controlled trial. SETTING: Indoor environment of housing units. PARTICIPANTS: Mothers and their children from birth to 3 years old participating in the Home Observation and Measures of the Environment study. Among 8878 prenatal patients, 1263 (14.2%) were eligible, 413 (32.7%) agreed to participate, and 355 were randomly assigned to the intervention (n = 181) or control (n = 174) groups. INTERVENTION: Installation of multiple passive measures (eg, stair gates, cabinet locks, and smoke detectors) to reduce exposure to injury hazards. Injury hazards were assessed at home visits by teams of trained research assistants using a validated survey. MAIN OUTCOME MEASURE: Modifiable and medically attended injury (ie, telephone calls, office visits, and emergency visits for injury). RESULTS: The mean age of children at intervention was 6.3 months. Injury hazards were reduced in the intervention homes but not in the control homes at 1 and 2 years (P < .004). There was no difference in the rate for all medically attended injuries in intervention children compared with controls: 14.3 injuries (95% confidence interval [CI], 9.7-21.1 injuries) vs 20.8 injuries (95% CI, 14.4-29.9 injuries) per 100 child-years (P = .17); but there was a significant reduction in the rate of modifiable medically attended injuries in intervention children compared with controls: 2.3 injuries (95% CI, 1.0-5.5 injuries) vs 7.7 injuries (95% CI, 4.2-14.2 injuries) per 100 child-years (P = .03). CONCLUSION: An intervention to reduce exposure to hazards in homes led to a 70% reduction in the rate of modifiable medically attended injury. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00129324.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 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".