The change in adolescent patients’ attitude towards psychotropic medications due to patient education
Bibliographic record
Abstract
The objective of the study was to examine if patient education through a medication group can positively influence the attitude of the adolescent patients towards psychotropic medications. The study was conducted in an inpatient psychiatric clinic called Young Adult Program (YAP) at Foothills Medical Centre, Calgary, Alberta, Canada. All the patients were 13-18 years old and on prescribed psychotropic medications. Hogan Drug Attitude Inventory was used to measure the attitude of adolescent patients. A higher score in the questionnaire indicates more positive attitude and higher chance of compliance. 23 patients filled out the questionnaire prior to the 6-week long medication group and 18 patients filled out the questionnaire after the medication group. On average, adolescent patients’ attitude towards psychotropic medications became more negative (-9.2%) after attending the medication group. Adverse effects during the period of workshop (6 weeks), time constrain in the post-treatment workshop, ambivalence in answering questions, more awareness etc. could have made adolescent patients’ attitude more negative. The patients were taught about various kinds of psychotropic medications, their side-effects, compliance and safety. Studies have suggested that the rate of compliance with psychotropic medications decreases from 50% in the first year to 15% in the second year (1). Since the rate of compliance with psychotropic medications decreases over time it can be inferred that the attitude of patients towards psychotropic medication becomes more negative gradually. However, due to the lack of comparative literature it is not clear if patient education through the medication group was able to impede the progression of negative attitude in adolescent patients. Patient education was not certainly able to reverse the trend and make the attitude positive on average. Health care providers might have to come up with more innovating ways to positively influence adolescent patients’ attitude towards psychotropic medications.
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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 | 0.004 |
| 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 | 0.001 |
| 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".