Cross-cultural adaptation of the drug-taking confidence questionnaire drug version for use in Brazil
Bibliographic record
Abstract
BACKGROUND: The Drug-Taking Confidence Questionnaire evaluates a drug user's confidence in his or her ability to resist the urge to consume psychoactive substances in high-risk situations. This study's objective was to develop a cross-cultural adaptation of the eight-item version of the Drug-Taking Confidence Questionnaire (DTCQ-8) for all drugs except alcohol and to verify its content validity and reliability in a pre-test stage. METHODS: The following steps were taken: (1) implementation of the translation protocol and transcultural adaptation, (2) validation of the adapted content, and (3) assessment of reliability. Nine experts participated in the process of adaptation, and the trial's sample comprised 40 drug users in treatment at a Psychosocial Care Center for Alcohol and Other Drugs (CAPSad). RESULTS: The average indices of semantic agreement (0.989; 0.989; 1.00), idiomatic (0.967), experiential (0.956), conceptual (0.978) and content validity with respect to language clarity (0.972), practice relevance (0.958), theoretical relevance (0.958) and theoretical dimension (1.00) showed that the adaption was successful. The mean total score of the DTCQ-8 version for other drugs was 477.00 + 234.27-SD, and 57.5 % of the users were classified as having moderate self-efficacy to resist the urge to use drugs in high-risk situations. The Cronbach's alpha coefficient was 0.889 for the complete instrument and 0.863-0.890 between items. CONCLUSIONS: The DTCQ-8 version for other drugs proved to be easy to use and understand, and its process of adaptation was satisfactory for use in the Brazilian context. In this sample, the questionnaire was adequate to measure users' self-efficacy to resist the urge to consume these substances in high-risk situations.
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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 | 0.010 | 0.140 |
| 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 | 0.001 |
| 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".