Evaluation of the outcomes and influencing factors of non-custodial educational programmes for people who use drugs in South Korea
Bibliographic record
Abstract
Background This study evaluated the effectiveness of deferred prosecution (DP) and probation, defined as non-custodial educational programmes (NCEPs), for drug users in South Korea.Methods We analyzed questionnaire responses from participants in a DP group (N = 203) and a probation group (N = 254) over a 2-year period (January 2022–December 2023). We used the Wilcoxon signed-rank test to compare the pre- and post-programme scores for drug-related knowledge and the Hanil Drug Insight Scale (HDIS). Multivariate logistic regression identified factors associated with programme effectiveness, including prior treatment experience, Meaning of Life Questionnaire (MLQ) scores, and mental health status.Results Both groups showed significant improvements in drug-related knowledge and HDIS scores (p < 0.001). Factors significantly associated with improved outcomes included prior treatment experience (odds ratio [OR]: 3.73, 95% confidence interval [CI]: 1.3–10.71), poor mental health (OR: 2.45, 95% CI: 1.01–5.95), and higher MLQ scores (OR: 2.9, 95% CI: 1.50–5.63). Personal well-being and health-related education appear more influential than marital or employment status.Conclusion This study provides preliminary empirical evidence of the positive impact of NCEPs in South Korea and identifies key psychological and experiential factors that contribute to their effectiveness.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".