Nursing Practice to Support People Living With HIV With Antiretroviral Therapy Adherence
Bibliographic record
Abstract
Antiretroviral therapy (ART) management is a core competency for nursing practice in HIV as documented in best practice guidelines. Nurse-led interventions are effective in fostering ART adherence in people living with HIV (PLWH). However, these evidence-based interventions and professional expectations pertaining to these guidelines do not reflect current practice, nor do they expose the challenges faced by nurses. We conducted a qualitative exploratory study with nurses to explore their professional practices in the context of ART adherence. Sixteen nurses participated in data collection: nine in a focus group and seven in individual interviews. We identified four themes: building a therapeutic relationship with PLWH as a foundation of HIV nursing care; nursing activities to support PLWH with ART adherence; challenges faced by nurses providing ART-related care; and resource mobilization supporting nursing practice development in ART management and HIV care. Aspects of HIV nursing practice need to be strengthened to enhance best practice care, such as managing powerlessness in the context of ART nonadherence.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| 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".