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1.
J Clin Epidemiol ; 56(7): 678-85, 2003 Jul.
Article in English | MEDLINE | ID: mdl-12921937

ABSTRACT

The purpose of this study was to examine factors contributing to the ethnic discrepancies in breast cancer survival described previously. Through the use of the Hawaii Tumor Registry and insurance claims data, 1,052 breast cancer patients' survival times were examined in relation to demographics, disease characteristics, comorbidity, and treatment patterns as compared to national guidelines for breast cancer treatment. In stepwise and hierarchical Cox regression models, TNM stage was the strongest predictor of survival and explained all of the ethnic survival differences. In addition, comorbidity and treatment patterns were significant in predicting survival. In this population of health plan members, ethnic differences in survival were not a result of differential treatment, but due to variations in early detection. These results support the hypothesis that pre-existing conditions and treatment patterns are related to breast cancer survival even after controlling for stage at diagnosis indicating the usefulness of insurance claims data in this research field.


Subject(s)
Breast Neoplasms/ethnology , Adult , Aged , Breast Neoplasms/pathology , Breast Neoplasms/therapy , Comorbidity , Female , Hawaii/epidemiology , Humans , Insurance Claim Reporting/statistics & numerical data , Middle Aged , Neoplasm Staging , Pilot Projects , Practice Guidelines as Topic , Proportional Hazards Models , Registries , Survival Analysis
2.
BMC Cancer ; 2: 3, 2002.
Article in English | MEDLINE | ID: mdl-11879527

ABSTRACT

BACKGROUND: The purpose of this study was to use insurance claims and tumor registry data to examine determinants of breast conserving surgery (BCS) in women with early stage breast cancer. METHODS: Breast cancer cases registered in the Hawaii Tumor Registry (HTR) from 1995 to 1998 were linked with insurance claims from a local health plan. We identified 722 breast cancer cases with stage I and II disease. Surgical treatment patterns and comorbidities were identified using diagnostic and procedural codes in the claims data. The HTR database provided information on demographics and disease characteristics. We used logistic regression to assess determinants of BCS vs. mastectomy. RESULTS: The linked data set represented 32.8% of all early stage breast cancer cases recorded in the HTR during the study period. Due to the nature of the health plan, 79% of the cases were younger than 65 years. Women with early stage breast cancer living on Oahu were 70% more likely to receive BCS than women living on the outer islands. In the univariate analysis, older age at diagnosis, lower tumor stage, smaller tumor size, and well-differentiated tumor grade were related to receiving BCS. Ethnicity, comorbidity count, menopausal and marital status were not associated with treatment type. CONCLUSIONS: In addition to developing solutions that facilitate access to radiation facilities for breast cancer patients residing in remote locations, future qualitative research may help to elucidate how women and oncologists choose between BCS and mastectomy.


Subject(s)
Breast Neoplasms/surgery , Databases, Factual , Insurance Claim Review/statistics & numerical data , Mastectomy, Segmental/statistics & numerical data , Age Factors , Aged , Aged, 80 and over/statistics & numerical data , Databases, Factual/statistics & numerical data , Female , Hawaii , Health Systems Plans/statistics & numerical data , Humans , Medicaid/statistics & numerical data , Medicare/statistics & numerical data , Middle Aged , Neoplasm Staging/methods , Neoplasm Staging/statistics & numerical data , Pilot Projects , SEER Program/statistics & numerical data , United States
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