Contribution of Family-Based Substance Abuse Prevention Program to Attitude and Self-efficacy of Mothers Trained by Mental Health Facilitators
Bibliographic record
Abstract
Family plays a key role in the prevention and intervention of drug abuse among children and teenagers. Information about drugs provides parents with the exact knowledge on how to demonstrate attitudes and healthy behaviours. Therefore, the present study tried to investigate the effect of preventive and interventional trainings on self-efficacy and attitudes of mothers covered by mental health facilitators (MHFs) in this regard. This interventional study used case and control groups/pretest-posttest design. Based on the inclusion criteria, randomized sampling, and sample size formulation, 150 qualified mothers were recruited. Eligible participants were randomly divided into two intervention and control groups. A researcher-designed and self-administered questionnaire was used to gather the required data. Six instructive, communicative oral sessions and individual interviews were held by the facilitators for case group members. After two months, attitudes and self-efficacy of the mothers toward drug abuse issues were measured again by the same questionnaire. The results showed that the difference in intervention and control group was significant in terms of increasing self-efficacy and modifying attitudes (p<0.001). Furthermore, the case group members reported less misconceptions, stigma, and ignorance toward those suffering from addiction.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".