Organisational barriers to effective pain management amongst oncology nurses in Saudi Arabia
Bibliographic record
Abstract
Cancer pain is a multi-dimensional syndrome with a combination of acute and chronic pain that causes physical, psycho-social, behavioural, emotional and spiritual problems resulting in adverse effects on patients’ quality of life. Nurses need to be well prepared with knowledge on pain assessment and management techniques in oncology units, due to their vital role in the decision-making process regarding pain management. However, limited research has been conducted regarding nurses’ barriers regarding pain management in oncology units, especially in Saudi Arabia. The overall aim of this study was to explore the nurses’ perceived barriers that hinder the delivery of effective pain management to cancer patients. Five focus group discussions were conducted using a purposive sampling of six to eight nurses in each group, with a total of 35 oncology nurses. The results of focus group analysis revealed two main thematic categories with associated sub themes, being nurses’ workloads, and the absence of health team collaboration. This study provides an increased awareness of the barriers that may hinder the efficacy of pain management provided to cancer patients in Saudi Arabia context. Significant implications will benefit nursing practice, administration and education, in addition to identifying potential future research.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".