Health Promotion in an Opioid Treatment Program
Bibliographic record
Abstract
Community assessment and review of the literature indicate that individuals supported in opioid treatment programs are at a significant disadvantage for access to preventative and primary healthcare. In addition, this population faces increased comorbidities and chronic disease. Finally, access to housing, nutritious food, and other social determinants of health is also a challenge for these individuals. This project, aimed at addressing healthcare disparities and improving health outcomes for the opioid treatment program client, was undertaken at a large, private, not-for-profit, community mental health center in an urban area. An education-practice partnership was created between the center and the local university's College of Nursing, which includes undergraduate and graduate programs. Working with administration, nurses, medical staff, and clinicians, the advanced practice nurse guided nursing practice change within the context of an interdisciplinary team to increase attention to clients' health needs. Outcomes included a more comprehensive nursing health assessment and increased attention to nursing care coordination. The partnership between the university and the facility continues with the goal of addressing clients' unmet healthcare needs and improving wellness via on-site intervention, referral, and education.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".