A chance to stop and breathe: participants’ experiences in the North American Opiate Medication Initiative clinical trial
Bibliographic record
Abstract
BACKGROUND: The North American Opiate Medication Initiative (NAOMI) clinical trial compared the effectiveness of injectable diacetylmorphine (DAM) or hydromorphone (HDM) to oral methadone maintenance treatment (MMT). This study aimed to determine participants' perceptions of treatment delivered in NAOMI. METHODS: A qualitative sub-study was conducted with 29 participants (12 female): 18 (62.1%) received injectable DAM or HDM and 11 (37.9%) received MMT. A phenomenological theoretical framework was used. Semi-structured interviews were audio-recorded and transcribed verbatim. A thematic analysis was used over successive phases and was driven by the semantic meanings of the data. RESULTS: Participants receiving injectable medications suggested that the supervised delivery model was stringent but provided valuable stability to their lives. Females discussed the adjustment required for the clinical setting, while males focused on the challenging clinic schedule and its impact on employment abilities. Participants receiving MMT described disappointment with being randomized to this treatment; however, positive aspects, including the quick titration time and availability of auxiliary services, were also discussed. CONCLUSION: Treatment with injectable DAM (or HDM) is preferred by participants and considered effective in reducing the burden of opioid dependency. Engaging patients in research regarding their perceptions of treatment provides a comprehensive assessment of treatment needs and barriers. CLINICAL TRIAL REGISTRATION: NCT00175357.
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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 | 0.049 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".