Drug User's Self-Efficacy to Resist the Urge of Consuming these Substances: Cross-Cultural Adaptation Instrument
Bibliographic record
Abstract
Introduction Self-efficacy is the belief or personal confidence related to the own ability to perform a specific action necessary to obtain a certain result. Its use refers to the application of validated instruments. Aims Describe the process of cross-cultural adaptation of the drug-taking confidence Questionnaire (DTCQ-8) drugs’ version and to verify its content validity and reliability. Methods It's a methodological study accomplished by nine experts to the process of adaptation and validation and had a sample of 40 drug users in treatment in the Center of Psycho-Social Attention for alcohol and other drugs, Recife, Pernambuco, Brazil. Results The mean index semantics’ agreement (0.989; 0.989; 1.00), idiomatic (0.967), experiential (0.956), conceptual (0.978) and content validation on the clarity of language (0.972), practical relevance (0.958), the theoretical importance (0.958) and theoretical dimension (1.00) demonstrated a satisfactory process. The clinical validation showed that 57.5% of users were classified as moderate on the self-efficacy item to resist the urge to use drugs in high-risk situations, and the Cronbach's alpha coefficient was 0.889 for the complete instrument, ranging from 0.863 to 0.890 among its items. Conclusions DTCQ-8 drugs proved to be easy to apply and understand. Its adaptation process was satisfactory for the application in the Brazilian context. The results showed that in this sample, this instrument was suitable to measure the Brazilian user's self-efficacy to resist the urge to consume these substances in high-risk situations. Disclosure of interest The authors have not supplied their declaration of competing interest.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".