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The impact of continuous Medicaid enrollment on diagnosis, treatment, and survival in six surgical cancers.

AbstractOBJECTIVE:
To examine the effect of Medicaid enrollment on the diagnosis, treatment, and survival of six surgically relevant cancers among poor and underserved Californians.
DATA SOURCES:
California Cancer Registry (CCR), California's Patient Discharge Database (PDD), and state Medicaid enrollment files between 2002 and 2008.
STUDY DESIGN:
We linked clinical and administrative records to differentiate patients continuously enrolled in Medicaid from those receiving coverage at the time of their cancer diagnosis. We developed multivariate logistic regression models to predict death within 1 year for each cancer after controlling for sociodemographic and clinical variables.
DATA COLLECTION/EXTRACTION METHODS:
All incident cases of six cancers (colon, esophageal, lung, pancreas, stomach, and ovarian) were identified from CCR. CCR records were linked to hospitalizations (PDD) and monthly Medicaid enrollment.
PRINCIPAL FINDINGS:
Continuous enrollment in Medicaid for at least 6 months prior to diagnosis improves survival in three surgically relevant cancers. Discontinuous Medicaid patients have higher stage tumors, undergo fewer definitive operations, and are more likely to die even after risk adjustment.
CONCLUSIONS:
Expansion of continuous insurance coverage under the Affordable Care Act is likely to improve both access and clinical outcomes for cancer patients in California.
AuthorsAaron J Dawes, Rachel Louie, David K Nguyen, Melinda Maggard-Gibbons, Punam Parikh, Susan L Ettner, Clifford Y Ko, David S Zingmond
JournalHealth services research (Health Serv Res) Vol. 49 Issue 6 Pg. 1787-811 (Dec 2014) ISSN: 1475-6773 [Electronic] United States
PMID25256223 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.)
Copyright© Health Research and Educational Trust.
Topics
  • California
  • Cohort Studies
  • Female
  • Humans
  • Male
  • Medicaid (statistics & numerical data)
  • Middle Aged
  • Neoplasms (diagnosis, mortality, surgery)
  • Retrospective Studies
  • Survival Rate
  • United States

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