Effect of Medicaid Expansion on Receipt of Definitive Treatment and Time to Treatment Initiation by Racial and Ethnic Minorities and at Minority-Serving Hospitals: A Patient-Level and Facility-Level Analysis of Breast, Colon, Lung, and Prostate Cancer
Bibliographic record
Abstract
PURPOSE: We sought to investigate the association between Medicaid expansion under the Affordable Care Act and access to stage-appropriate definitive treatment for breast, colon, non-small-cell lung, and prostate cancer for underserved racial and ethnic minorities and at minority-serving hospitals (MSHs). METHODS: We conducted a retrospective, difference-in-differences study including minority patients with nonmetastatic breast, colon, non-small-cell lung, and prostate cancer and patients treated at MSHs between the age of 40 and 64, with tumors at stages eligible for definitive treatment from the National Cancer Database. We not only defined non-Hispanic Black and Hispanic cancer patients as racial and ethnic minorities but also report findings for non-Hispanic Black cancer patients separately. We examined the effect of Medicaid expansion on receipt of stage-appropriate definitive therapy, time to treatment initiation (TTI) within 30 days of diagnosis, and TTI within 90 days of diagnosis. RESULTS: < .001) compared with minority patients in nonexpansion states; there was no change for TTI within 90 days. Analysis focused on Black cancer patients yielded similar results. In analyses stratified by MSH status, there was no change in receipt of definitive therapy, TTI within 30 days, and TTI within 90 days when comparing MSHs in expansion states with MSHs in nonexpansion states. CONCLUSION: In our cohort of cancer patients with treatment-eligible disease, we found no significant association between Medicaid expansion and changes in receipt of definitive treatment for breast, prostate, lung, and colon cancer for racial and ethnic minorities and at MSHs. Medicaid expansion was associated with improved TTI at the patient level for racial and ethnic minorities, but not at the facility level for MSHs. Targeted interventions addressing the needs of MSHs are still needed to continue mitigating national facility-level disparities in cancer 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 | 0.000 | 0.001 |
| 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".