Predictors of Self-Reported Antidepressant Adherence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors' objectives of this research were: (1) to assess levels of selfreported antidepressant adherence and reasons for nonadherence and (2) to investigate determinants of nonadherence. A group of general hospital and community psychiatry practice mood disorder outpatients (n=80) took a self-report questionnaire that assessed beliefs about antidepressants, self-efficacy, and reasons for nonadherence. High levels of adherence were reported: 58 patients (73%) indicated they took their medication as directed more than 80% of the time. Practical issues (e.g., simply forgetting or a change in routine) were the most frequently identified reasons for nonadherence. Patients were more likely to report nonadherence if they experienced a sexual side effect, had lower self-efficacy, were female, and had not completed post-secondary education. Clinicians should be cognizant of this complexity and address not only issues related to medication efficacy and tolerability, but also social mediators and health beliefs when prescribing antidepressants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it