A Randomized Trial of a Comprehensive Training Process to Enhance Safe Driving in Older Adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Canada, older adult driving exposure is increasing quite drastically. However, older adult \ndrivers have a higher motor vehicle collision fatality risk compared to younger age groups. Therefore, \nolder adult driver safety is an area requiring considerable attention. Using a randomized controlled trial \nstudy design, the present study investigated the effectiveness of a comprehensive training process to \nenhance safe driving in older adults. Based on their age and sex, participants (n=78), aged 65 years and \nabove, were block randomized to one of three driving training intervention groups: 1) in-class training \n(control); 2) in-class plus on-road training (with individualized feedback); and 3) in-class plus on-road \nplus simulator training (with individualized feedback). The main outcome measure was the number of \nunsafe-driving actions committed before and after receiving designated driving training interventions on a \nstandardized on-road driving evaluation, captured by video and GPS technology, and scored by a blinded, \nindependent rater. Driving knowledge and driving comfort data were also collected for all participants \nbefore and after receiving their designated interventions. Mean baseline total on-road driving scores were \nsimilar for intervention groups, averaging 129.78 (SD=29.87) for the control group, 128.48 (SD=20.15) \nfor the in-class plus on-road training group, and 127.73 (SD=24.24) for the in-class plus on-road plus \nsimulator training group. The control group achieved an average reduction of 7.18 (95% CI [0.11, 14.26]) \nunsafe-driving actions; the in-class plus on-road training group and the in-class plus on-road plus simulator-training group achieved an average reduction of 41.64 (95% CI [26.21, 53.29]) and 38.69 (95% \nCI [22.20, 52.16]) unsafe-driving actions, respectively, especially regarding vehicle control and \nobservation errors. Driving knowledge also significantly improved from 74.4% to 83.2% of questions \nanswered correctly before receiving the in-class training component to after receiving the in-class training \ncomponent; however, there were no significant differences between intervention groups in post- \nintervention driving comfort levels. The findings demonstrate that achieving considerable improvements \nin older adults? driving relies on on-road training, and that individualized feedback supplementation \nshould be the focus of more inquiry. Limitations and future research directions are also discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it