Breast cancer - early detection and screening in South African women from the Bonteheuwel township in the Western Cape : knowledge, attitudes and practices : original research
Bibliographic record
Abstract
ligBackground:l/ig Breast cancer is one of the most common cancers, rating among the most frequent causes of mortality in women worldwide, including in South Africa. Although curative treatment is increasingly successful, early detection and intervention are critical in reducing mortality rates. Early diagnosis is facilitated via breast self-examination (BSE), clinical breast examination (CBE), and mammography. Breast cancer presentation shows an apparent racial variation, with black, coloured and Indian patients presenting at a younger age than whites. In addition, whites tend to present at earlier stages of disease severity, coloureds and Indians at more intermediate stages and blacks at later stages. Socio-economic variables impact on screening practices. One American/Canadian study showed women with higher education and incomes were more likely to receive screening. In South Africa, there is scant research on breast cancer screening. In 2001, Prof. Karl Peltzer of the University of the North did a small telephonic comparative study between black and white women that identified low frequencies of BSE in both groups. Further research is necessary. While several international studies exist, little research is available on the screening behaviour of South African women. The aim of this study, therefore, was to evaluate the knowledge, attitudes, and actual screening practices regarding breast cancer among women in the Bonteheuwel township in the Western Cape. lbrgligMethods:l/ig A random sample of 100 women completed a questionnaire administered by a research assistant. A separate, separate, selected group of nine women participated in a focus group discussion. lbrgligResults:l/ig The results indicate that the majority of the participants were aware of the dangers of breast cancer, perceived as a common (87%; 95% CI: 80%-94%) and serious (88%; 95% CI: 82%-94%) disease, which, if treated early, could be cured in most cases (82%; 95% CI: 74%-90%). Most had previously examined their breasts (65%; 95% CI: 56%-74%) and/or had been examined by their doctors (62%; 95% CI: 52%-72%). Only a minority, however, practised regular BSE (24%; 95% CI: 16%-32%) or had received a CBE in the last year (29%; 95% CI: 20%-38%). Fear of diagnosis was identified as the main barrier to screening (87%; 95% CI: 80%-94%). Despite their fears, the participants were keen to improve their knowledge and participate in the further education of their community. However, only 40% (95% CI: 30%-50%) had ever been taught BSE by a healthcare professional. Moreover, only 34% (95% CI: 25%-43%) of women who had consulted a GP in the preceding year had received a CBE during this period. A total of 38% (95% CI: 28%-48%) had never had a CBE in their lives. lbrgligConclusion:l/ig The participants were better informed and more engaged in screening than had been anticipated. Still, healthcare professionals need to play a more proactive role in breast cancer screening and education.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".