Comorbidity between psychological distress and drug use among patients in treatment centres in Jamaica: implications for policies and programme design
Bibliographic record
Abstract
This research explored comorbidity between psychological distress and drug use among patients in treatment centres in Jamaica and the possible implications for policy and programme design for treatment centres. The study was cross-sectional and consisted of 56 adult patients of Jamaican nationality, ages 18 to 70 years old being treated in centres for substance use across three parishes. Patients completed a questionnaire consisting of an adapted version of the EULAC-CICAD Admission form; the Kessler Intrument-10; and the Family APGAR scale. Results indicate that 10.7% of the patients were categorized to have severe psychological distress; 32.1% categorized with severe psychological distress. Across the general sample 66.1% have high perceived family functioning, 16.1% perceive moderate family dysfunction and 17.9% perceive severe family dysfunction. The predominant treatment received across the centres was counseling 83.9% and 83.9% of patients reported being satisfied with their treatment. Overall, results may serve as a stepping stone to larger work to be done in the area; so as to capture a better picture of the phenomena as it exists in Jamaica.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".