Exploring the Daily Lives of People on Methadone Maintenance Treatment: An Occupational Perspective
Bibliographic record
Abstract
A qualitative study was undertaken with five people on methadone maintenance treatment (MMT) to better understand their experiences and daily routines. Through an in-depth exploration of their everyday occupations, we sought to reveal the ongoing challenges and barriers they face to accessing treatment. The concept of occupation refers to ‘all that people need, want and are required to do’ but also extends further to encompass ‘how doing contributes to processes of being, becoming and belonging’ (Huot and Laliberte Rudman, 2015). This research employed a qualitative intrinsic case study methodology (Stake, 2005). Using an occupational perspective informed by a framework for occupational justice (Stadnyk et al., 2005), the participants’ narratives are presented according to four themes highlighting key aspects of their experiences: (a) descent into chaos; (b) MMT as a bridge to recovery from addiction; (c) a new normal daily life; and (d) hopes for moving forward. The findings illustrate how structural factors and contextual factors interact to create occupational injustices. Thus, MMT practices and policies should consider the occupational implications described in this article to enhance patients’ experiences and further support their recovery.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".