Short-term outcomes in patients attending a primary care-based addiction shared care program.
Bibliographic record
Abstract
OBJECTIVE: To evaluate patient outcomes in an addiction shared care program that is managed by family physicians working in a primary care setting. DESIGN: Prospective cohort study. SETTING: The addiction shared care program at St Joseph's Health Centre in Toronto, Ont, which is staffed by a nurse clinician, an addiction therapist, a clinical fellow, and 6 family physicians in an academic family medicine unit. PARTICIPANTS: Participants included patients who attended at least one session in the program. The patients were self-referred or referred by family doctors, government agencies, or the emergency department. INTERVENTIONS: The service provided brief counseling interventions, outpatient medical detoxification, pharmacotherapy, and follow-up, and there was communication with the referring family physicians. MAIN OUTCOME MEASURES: Changes in self-reported substance use were measured through interviews at intake and at 3 to 4 months after the initial office visit. RESULTS: The study was conducted between January 2005 and April 2006. Out of 204 patients who gave consent to participate at baseline, we interviewed 71 patients about 4 months later. Among 33 problem drinkers, the mean number of standard drinks consumed per week declined from 32.9 at baseline to 9.6 at follow-up (P < .0005). Of the 29 problem opioid users, 6 were started on methadone treatment and 13 had decreased their opioid consumption from a mean morphine equivalent of 168.38 mg to 70.85 mg daily (P = .001). There was also a significant decline in the problematic use of benzodiazepines (P = .004) and other drugs (P = .005), but there was no significant decline in the problematic use of cannabis or cocaine. Twenty-two patients (31%) participated in Alcoholics Anonymous or formal addiction treatment. CONCLUSION: Shared care is a promising new strategy for delivering addiction intervention. Further evaluation is warranted, with more complete follow-up and objective outcome measures.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".