Medication adherence of individuals with a first episode of psychosis
Bibliographic record
Abstract
OBJECTIVE: To determine rates of adherence to antipsychotic medication in first episode patients and the correlates of adherence in this group. METHOD: Subjects were the first 200 admissions to an Early Psychosis Program. Adherence was determined on a three-point scale. Symptoms, medication side-effects, quality of life, substance use and family involvement were examined longitudinally. RESULTS: In their first year in the program 39% were non-adherent, 20% inadequately adherent, and 41% adherent. Non-adherent patients demonstrated more positive symptoms, more relapses, more alcohol and cannabis use, reduced insight, and poorer quality of life. They were younger, had an earlier age of onset and less likely to have a family member involved in treatment. CONCLUSION: Results for this group are similar to those reported in the literature. Correlates are often the consequence of non-adherence. Non-compliance has to be anticipated and relationships maintained with patients and families to intervene as soon as possible to minimize the consequence of non-compliance.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".