Nurses’ Perspectives of the Supportive Care Needs of Men with Prostate Cancer
Bibliographic record
Abstract
Abstract Background: Prostate cancer is the most common form of cancer affecting men. Perceptions of oncology nurses regarding educational needs would assist in gaining more understanding of survivor needs and ultimately provide better quality care to individuals who have completed cancer treatment. Objectives: To investigate the nurses’ point of view about the priority and the degree of importance of educational needs for prostate cancer patients. Materials and Methods: The current study used a descriptive design and was conducted at the chemotherapy and radiology center of Tishreen University Hospital in Lattakia City, Syria during 2020–2021. The study comprised 50 nurses in the chemotherapy department. Tools used in the study were adopted from the Toronto Informational Needs Questionnaire Cancer by the researchers to achieve the purpose of the study. Results: The majority of studied nurses (82%) aged between 30 and 40 years old, also about half of nurses (46%) were single, two third of nurses (66%) have preparatory degree, the highest ratio of nurses (60%) have from 1 to 5 years of experience, whereas the most of nurses (70%) have from 6 to 10 years of experience in general nursing; finally most of the nurses (78%) did not have any oncology training session. The results also found that there were a statistically significant differences in oncology nursing opinion according to their age, educational level, and years of experience in oncology nursing, whereas there were no statistically significant differences according to the marital status, years of nursing experience in general and training sessions. Conclusion: All the information needed by prostate cancer patients is of low importance from the studied nurses’ point of view except the psychological needs with moderate importance. There is a high statistically significant difference in oncology nursing opinion according to the age, educational level, and years of experience.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".