Plausibility of patient-centred care in high-intensity methadone treatment: reflections of providers and patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Patients with opioid use disorder (OUD) often have complex health care needs. Methadone is one of the medications for opioid use disorder (MOUD) used in the management of OUDs. Highly restrictive methadone treatment-which requires patient compliance with many rules of care-often results in low retention, especially if there is inadequate support from healthcare providers (HCPs). Nevertheless, HCPs should strive to offer patient-centred care (PCC) as it is deemed the gold standard to care. Such an approach can encourage patients to be actively involved in their care, ultimately increasing retention and yielding positive treatment outcomes. METHODS: In this secondary analysis, we aimed to explore how HCPs were applying the principles of PCC when caring for patients with OUD in a highly restrictive, biomedical and paternalistic setting. We applied Mead and Bower's PCC framework in the secondary analysis of 40 in-depth, semi-structured interviews with both HCPs and patients. RESULTS: We present how PCC's concepts of; (a) biopsychosocial perspective; (b) patient as a person; (c) sharing power and responsibility; (d) therapeutic alliance and (e) doctor as a person-are applied in a methadone treatment program. We identified both opportunities and barriers to providing PCC in these settings. CONCLUSION: In a highly restrictive methadone treatment program, full implementation of PCC is not possible. However, implementation of some aspects of PCC are possible to improve patient empowerment and engagement with care, possibly leading to increase in retention and better treatment outcomes.
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.
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 | 0.000 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it