Randomized Control Trial of the 3Rs Health Knowledge Training Program for Persons with Intellectual Disabilities
Bibliographic record
Abstract
BACKGROUND: Persons with intellectual disabilities (ID) experience a wide range of health problems. Research is needed on teaching persons with intellectual disabilities about their health to promote self-advocacy. This study used a RCT to evaluate a health knowledge training program for adults with intellectual disabilities and verbal skills. METHODS: Participants were randomly assigned to training (n = 12) or no training control (n = 10) groups. Topics included key body organs, systems, functions, health maintenance and illnesses. Participants played a game answering questions (e.g. 'What does the heart do?'). Instruction involved visuals (e.g., PowerPoint slides), cueing, modelling and feedback. The control group received pre-, post- and follow-up tests as the training group. RESULTS: The training group had significantly higher overall post-test and follow-up health knowledge test scores than the control group. CONCLUSIONS: Health knowledge training is one step in promoting health self-advocacy and better health in persons with intellectual disabilities.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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".