The mobilization of nurse-client therapeutic relationships in injectable opioid agonist treatment: Autonomy, advocacy and action
Bibliographic record
Abstract
INTRODUCTION: Injectable opioid agonist treatment (iOAT) is an evidence-based treatment that serves an important minority of people with opioid use disorder who require specialized care. Unique to iOAT care is the consistency with which clients access treatment (up to three times daily), a condition that creates repeated opportunities for health care engagement. To date, no study has examined therapeutic relationships in this life saving, nurse-led treatment that can have lasting implications in the equitable delivery of other forms of addictions care. METHODS: This study used grounded theory to generate a dynamic framework for therapeutic relationship building in iOAT. Researchers collected semi-structured interviews from registered nurses working in iOAT sites (n=24) form January 2020 through June 2022. The study analyzed collected data through a constant comparative analysis; explored through open, axial, and selective coding; and assessed in a conditional relationship matrix. The team reviewed key findings with stakeholders through formalized processes of engagement to confirm saturation of coding categories. Throughout data collection and analysis, researchers integrated feedback from additional knowledge users and member checking. Reported findings adhered to the COREQ1 standardized checklist. RESULTS: We identified five interrelated categories that created a distinct culture of care for iOAT nurses: Ways of Knowing, Personal Investment, Leveraging Empathy, Finding Flexibility, and Collaborating to Overcome. Through creating a safe, nonjudgmental environment, nurses establish therapeutic relationships that build trust to identify client needs outside of medication administration. In turn, nurses participate in team-based problem solving to advocate for client needs. If nurses cannot find flexibility within and outside of the health care system to improve client engagement, tensions can arise and therapeutic relationships can be strained. CONCLUSIONS: Therapeutic relationships are an integral part of building and maintaining trust with a population that has been precariously involved with other forms of health care. Nurses make a substantial effort to create a safe and nonjudgmental environment to manifest a culture of care that bridges client needs and program access. Without the expansion of access to iOAT programs and their embedded services, nurses are limited in their ability to provide individualized care for clients with diverse needs.
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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 | 0.028 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".