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 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 | 0.001 | 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 | 0.001 |
| 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".