Age, Gender, and Treatment Attendance Among Forensic Psychiatric Outpatients
Bibliographic record
Abstract
Abstract The records of 1,185 female and 5,114 male forensic psychiatry outpatients, within the age range of 15-44 years, were used to evaluate absenteeism from treatment in relation to age and gender. Age was divided into the 3 age groups 15-24, 25-34, and 35-44. Females had a significantly higher absentee rate than males in all age groups (p < .05). This gender difference is likely due to varying social roles as well as differential perceptions of treatment relevance. For both males and females, missed appointments declined significantly with age (p < .05). This age effect likely results from the decline in risk-taking and impulsivity with age. Because the efficacy of any treatment lies in a client's continued participation, it is important to address program attendance barriers and commitment to treatment issues. Commitment to treatment can be increased by active follow-up on non-attendance and by providing a positive therapy experience. Key Words: Treatment complianceabsenteeismforensic treatmentoutpatient
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.
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 | 0.000 | 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) | 0.000 | 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".