The role of family nurse practitioners : promoting oral medication adherence to maintenance treatment among adolescents with inflammatory bowel disease
Bibliographic record
Abstract
The role of family nurse practitioners (FNPs) in promoting medication adherence in adolescents with inflammatory bowel disease (IBD) has not been established. This project provides intervention strategies that FNPs can use to promote oral medication adherence to maintenance treatment in adolescents with IBD. This is a critical need because non-adherence to maintenance therapy is the most significant factor associated with relapses of IBD and a serious health issue in adolescents with IBD. There are no current best practice guidelines in promoting adherence to maintenance medications in IBD patients. Findings from the literature review suggest that non-adherence to maintenance therapy is complex and multi-factorial. No single intervention strategy has been shown to be effective for all patients and conditions. However, individually tailored interventions that attend to behavioural, education and psychosocial factors appear promising. The bio-psychosocial model is used as a conceptual framework to examine the factors affecting medication adherence and to explore the intervention strategies for improving medication adherence. Findings of this project are limited by the paucity of research on medication adherence in adolescents with IBD. Implications and recommendations for family nurse practitioner practice, education and research are discussed.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".