Mammography screening among Chinese‐American women
Bibliographic record
Abstract
BACKGROUND: Breast carcinoma is the most common major malignancy among several Asian-American populations. This study surveyed mammography screening knowledge and practices among Chinese-American women. METHODS: In 1999, the authors conducted a cross-sectional, community-based survey in Seattle, Washington. Bilingual and bicultural interviewers administered surveys in Mandarin, Cantonese, or English at participants' homes. RESULTS: The survey cooperation rate (responses among reachable and eligible households) was 72% with 350 eligible women (age >or= 40 years with no prior history of breast carcinoma or double mastectomy). Seventy-four percent of women reported prior mammography screening, and 61% of women reported screening in the last 2 years. In multivariate analysis, a strong association was found between mammography screening and recommendations by physicians and nurses (prior screening: odds ratio [OR], 16.0; 95% confidence interval [95% CI], 7.8-35.0; recent screening: OR, 7.0; 95% CI, 3.8-13.6). This finding applied to both recent immigrants (< 15 years in the U.S.) and earlier immigrants (>or= 15 years in the U.S.). Thirty-two percent of women reported that the best way to detect breast carcinoma was a modality other than mammogram. CONCLUSIONS: The authors recommend a multifaceted approach to increase mammography screening by Chinese-American women: recommendations from the provider plus targeted education to address the effectiveness of screening mammography compared with breast self examination and clinical breast examination.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 teacher head, 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".