“I want to save my life”: Conceptions of cervical and breast cancer screening among urban immigrant women of South Asian and Chinese origin
Bibliographic record
Abstract
BACKGROUND: Breast and cervical cancer screening rates remain low among immigrant women and those of low socioeconomic status. The Cancer Awareness: Ready for Education and Screening (CARES) project ran a peer-led multi-lingual educational program between 2012 and 2014 to reach under and never-screened women in Central Toronto, where breast and cervical cancer screening rates remain low. The objective of this qualitative study was to better understand how Chinese and South Asian immigrants - the largest and most under-screened immigrant groups according to national and provincial statistics - conceive of breast and cervical cancer screening. We explored their experiences with screening to date. We explicitly inquired about their perceptions of the health care system, their screening experiences with family physicians and strategies that would support screening in their communities. METHODS: We conducted 22 individual interviews and two focus groups in Bengali and Mandarin with participants who had attended CARES educational sessions. Transcripts were coded through an iterative constant comparative and interpretative approach. RESULTS: Themes fell into five major, overlapping domains: risk perception and concepts of preventative health and screening; health system engagement and the embedded experience with screening; fear of cancer and procedural pain; self-efficacy, obligation, and willingness to be screened; newcomer barriers and competing priorities. These domains all overlap, and contribute to screening behaviours. Immigrant women experienced a number of barriers to screening related to 'navigating newness', including transportation, language barriers, arrangements for time off work and childcare. Fear of screening and fear of cancer took many forms; painful or traumatic encounters with screening were described. Female gender of the provider was paramount for both groups. Newly screened South Asian women were reassured by their first encounter with screening. Some Chinese women preferred the anonymous screening options available in China. Women generally endorsed a willingness to be screened, and even offered to organize women in their community hubs to access screening. CONCLUSIONS: The experience of South Asian and Chinese immigrant women suggests that under and never-screened newcomers may be effectively integrated into screening programs through existing primary care networks, cultural-group specific outreach, and expanding access to convenient community -based screening.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".