Facilitating rapid access to addiction treatment: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Obtaining timely access to addiction medicine treatment for patients with substance use disorders is challenging and patients often have to navigate complex referral pathways. This randomized controlled trial examines the effect of providing an expedited pathway to addiction medicine treatment on initial treatment engagement and health care utilization. METHODS: Individuals with possible alcohol or opioid use disorder were recruited from three residential withdrawal management services (WMS). Subjects randomized to the Delayed Intervention (DI) group were given contact information for a nearby addiction medicine clinic; those randomized to the Rapid Intervention (RI) group were given an appointment at the clinic within 2 days and were accompanied to their first appointment. RESULTS: Of the 174 individuals who were screened, 106 were randomized to either the DI or RI group. The two groups were similar in demographics, housing status, and substance use in the last 30 days. In the 6-month period following randomization, 85% of the RI group attended at least one clinic appointment, compared to only 29% in the DI group (p < 0.0001). The RI group had a mean of 6.39 ED visits per subject in the 12 months after randomization, while the DI group had a mean of 13.02 ED visits per subject in the same 12-month period (p = 0.0469). Other health utilization measures did not differ between the two groups. CONCLUSION: Providing immediate facilitated access to an addiction medicine service resulted in greater initial engagement and reduced emergency department visits at 6 months. Trial registration This trial is registered at the National Institutes of Health (ClinicalTrials.gov) under identifier #NCT01934751.
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 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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".