Awareness and Early Detection of Ante Natal Clinic Attendees towards Breast Cancer at a Tertiary Hospital in South – South Nigeria
Bibliographic record
Abstract
Background: Breast cancer is the leading cause of death globally in women between 44 – 50 years. As a result of poor awareness, late presentation is often times common amongst women with breast cancer in developing countries of the world as such outcome is poor. Aim: To determine the awareness and early detection of ante natal clinic attendees towards breast cancer at the Rivers State University Teaching Hospital (RSUTH), Port Harcourt, Nigeria. Methods: This was a cross-sectional study of ANC attendees at the RSUTH. Simple randomized sampling method was used. A structured pre-test survey questionnaire The information was analyzed using SPSS version 25. Results: A total of 180 questionnaires were distributed and 176 questionnaires retrieved. The mean gestational age was 32.4 years. The modal parity was 1. With respect to the educational level, tertiary were 129 (73.3%), secondary 43 (24.4%) and primary 4 (2.3%). Those aware of breast cancer were 159 (90.3%). Means of information by the subjects for breast cancer prevention were media 96 (54.6%), hospital 39 (22.0%), religious house 3 (3.8%) and others 38 (19.6%) Antenatal mothers who carried out self breast examination for detection of breast lumps were 95 (54%). Subjects who were aware of mammogram were 42 (23.9%) while those who had mammogram in the past were 2 (1.1%). ANC attendees who had family history of breast cancer were 7 (4%). The relationship between breast cancer awareness and educational status were as follows, tertiary 123 (69.9%), secondary 34 (19.3%), primary 2 (1.1%). Conclusion: Though the level of breast cancer awareness was high 90.3%. Self breast examination for early detection of breast cancer was above average (54%), while the use of mammogram for early detection of breast cancer was still not encouraging represented by 1.1% of the respondents. The media was the commonest medium of awareness for the prevention of breast cancer represented by 54.6% of the ante natal clinic attendees.
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 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".