Quality of Care for Breast Cancer for Uninsured Women in California Under the Breast and Cervical Cancer Prevention Treatment Act
Bibliographic record
Abstract
PURPOSE: The objective of this study was to evaluate the quality of care provided to uninsured women with breast cancer who received treatment through the Breast and Cervical Cancer Prevention Treatment Program (BCCTP). METHODS: Participants included women with stage I to III breast cancer (n = 658) from a consecutive sample of women 18 years or older who received coverage through the California BCCTP between February 2003 and September 2005 who consented to a survey and medical record review (61% response rate). Quality of breast cancer care was evaluated using 29 evidence-based quality measures developed for the National Initiative for Cancer Care Quality (NICCQ). NICCQ, a largely insured cohort of women diagnosed with stage I to III breast cancer in 1998, was used to benchmark the results. RESULTS: Twenty-three percent of women presented with stage III disease compared with fewer than 10% nationally. Patients received 93% of recommended care (95% CI, 92% to 93%). Adherence to recommended care within domains ranged from 87% for post-treatment surveillance (95% CI, 84% to 90%) to 97% for diagnostic evaluation (95% CI, 96% to 97%). Compared to the NICCQ cohort, adherence to quality measures was as good or better for the BCCPT cohort in all domains except post-treatment surveillance. CONCLUSION: The BCCTP has made important inroads in providing poor, uninsured women with access to high quality care when faced with the diagnosis of breast cancer; however, many present at an advanced stage, which is associated with worse outcomes.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".