Factors Associated with Seeking Readmission among Clients Admitted to Medical Withdrawal Management
Bibliographic record
Abstract
The objectives of the present paper were to determine the rate and factors associated with seeking readmission among the clients admitted to an inpatient medical withdrawal management program, Vancouver Detox (VD). All clients who were admitted to VD between July 1, 2003, and June 30, 2004, were included in the study, and were followed up for 1 year. Multinomial logistic regression was performed to investigate the potential risk factors associated with short-term (1 month) and long-term (2 to 12 months) requests for readmission simultaneously. The risk factor associated with short-term request for readmission was leaving VD against medical advice (AMA) during the index admission. Clients who reported to have hepatitis C virus (HCV) infection, whose primary preferred substance was alcohol, and those who were poly-drug users were more likely to request readmission in long-term. Clients with no fixed address were less likely to seek readmission between months 2 and 12.
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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 | 0.001 |
| 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".