Evaluation of Breast Cancer Awareness among Female University Students in University of Sharjah, UAE
Bibliographic record
Abstract
Objective: The objectives of this study were to assess the knowledge of breast cancer among female students at the College of Pharmacy at the University of Sharjah, UAE, and to evaluate the impact of the intervention program designed by the researchers on the student’s knowledge on the disease risk factors, screening methods, and their perception towards its treatment outcomes. Method: A cross-sectional questionnaire survey of a convenience sample of 166 pharmacy students ((n = 110; the 4th year) and (n = 56; the 5th year)) in the University of Sharjah, Sharjah, UAE. The 26-item questionnaire covered the personal information and socio-demographic characteristics, breast cancer general knowledge, knowledge of breast cancer risk factors, knowledge of breast cancer symptoms and screening tests, and perception of management and outcomes of breast cancer. Key Findings: A total of 120 pharmacy students from the 4th year (n = 70) and the 5th year (n = 50) had completed the survey for the pre-intervention phase of the study. For the post intervention phase of the study, only 63 students from the 4th year and 48 students from the 5th year returned their completed questionnaire, giving a response rate of 90% and 96% respectively. Almost one quarter (59 (25.5)) of the students included in the study reported that they have had a history of breast cancer in their family respectively. A high proportion (206 (89.2%)) of the students from both levels showed their interest in participating in activities to promote breast awareness, despite the fact that almost three quarters (161 (70%)) of the students reported that they have never been participated in any previous breast awareness programs. The awareness of students under investigation about self-examination was clearly improved at the end of the study period. Eighty (66.7%) of the students from both levels reported that the breast self-examination is recommended for female “once a month”. This figure was increased to 103 (92.8%) post the intervention sessions (P value χ2 < 0.001). Conclusion: The high incidence of breast cancer in the UAE may be attributed to the low level of awareness of the disease among females. Our findings can be used to promote discussion in the profession and with stakeholders about the future role of pharmacists in breast cancer care.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".