Patient Factors Associated with Missed Appointments in Persons with Schizophrenia
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
OBJECTIVE: There is limited research on factors that may predict missed appointments. This study examined correlates to missed appointments in a sample of persons attending an outpatient schizophrenia program. METHOD: We measured the rate of missed appointments for 342 outpatients with severe and persistent mental illness (that is, with diagnoses of schizophrenia, schizoaffective disorder, and delusional disorder) attending a psychiatric outpatient clinic over a period of 2 years and 3 months. We collected and analyzed demographic and clinical variables to ascertain differences between patients with high and low rates of nonattendance. RESULTS: Patients who missed 20% or more of their appointments were significantly younger, were more likely to abuse drugs and alcohol, and manifested lower levels of community functioning. CONCLUSIONS: This profile may be useful in helping clinicians to schedule appointments for this clinical population, to identify those who may need community outreach services, and to improve their treatment prospects.
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 | 0.001 | 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) | 0.000 | 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 it