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Background. Diabetes mellitus (DM) has been implicated in influencing the survival duration of patients with breast cancer. However, less is known about the impact of DM and other comorbidities on the breast cancer-specific survival (BCS) and overall survival (OS) outcomes of Asian patients with early-stage breast cancer. Patients and Methods. The characteristics of female patients with newly diagnosed, early-stage breast cancer were collected from the Taiwan Cancer Registry database for 2003-2004. DM status and other comorbidities were retrieved from Taiwan's National Health Insurance database. The BCS and OS times of patients according to DM status were estimated via the Kaplan-Meier method. Cox's proportional hazard model was used to estimate adjusted hazard ratios (HRs) for the effects of DM, comorbidities, and other risk factors on mortality. Results. In total, 4,390 patients were identified and 341 (7.7%) presented with DM. The 5-year BCS and OS rates were significantly worse in DM patients than in non-DM patients (BCS, 85% versus 91%; OS, 79% versus 90%). Furthermore, after adjusting for clinicopathologic variables and comorbidities, DM remained an independent predictor of shorter BCS (adjusted HR, 1.53) and OS (adjusted HR, 1.71) times. Subgroup analyses also demonstrated a consistent prognostic influence of DM across different groups. Conclusion. In Asian patients with early-stage breast cancer, DM is an independent predictor of lower BCS and OS rates, even after adjusting for other comorbidities. The integration of DM care as part of the continuum of care for early-stage breast cancer should be emphasized. [ABSTRACT FROM AUTHOR]

Background: Medication claims are commonly used to calculate the risk adjustment for measuring healthcare cost. The Rx-defined Morbidity Groups (Rx-MG) which combine the use of medication to indicate morbidity have been incorporated into the Adjusted Clinical Groups (ACG) Case Mix System, developed by the Johns Hopkins University. This study aims to verify that the Rx-MG can be used for adjusting risk and for explaining the variations in the healthcare cost in Taiwan. Methods: The Longitudinal Health Insurance Database 2005 (LHID2005) was used in this study. The year 2006 was chosen as the baseline to predict healthcare cost (medication and total cost) in 2007. The final sample size amounted to 793 239 (81%) enrolees, and excluded any cases with discontinued enrolment. Two different kinds of models were built to predict cost: the concurrent model and the prospective model. The predictors used in the predictive models included age, gender, Aggregated Diagnosis Groups (ADG, diagnosis- defined morbidity groups), and Rx-defined Morbidity Groups. Multivariate OLS regression was used in the cost prediction modelling. Results: The concurrent model adjusted for Rx-defined Morbidity Groups for total cost, and controlled for age and gender had a better predictive R-square = 0.618, compared to the model adjusted for ADGs (R² = 0.411). The model combined with Rx-MGs and ADGs performed the best for concurrently predicting total cost (R² = 0.650). For prospectively predicting total cost, the model combined Rx-MGs and ADGs (R² = 0.382) performed better than the models adjusted by Rx-MGs (R² = 0.360) or ADGs (R² = 0.252) only. Similarly, the concurrent model adjusted for Rx-MGs predicting pharmacy cost had a better performance (R-square = 0.615), than the model adjusted for ADGs (R² = 0.431). The model combined with Rx-MGs and ADGs performed the best in concurrently as well as prospectively predicting pharmacy cost (R² = 0.638 and 0.505, respectively). The prospective models showed a remarkable improvement when adjusted by prior cost. Conclusions: The medication-based Rx-Defined Morbidity Groups was useful in predicting pharmacy cost as well as total cost in Taiwan. Combining the information on medication and diagnosis as adjusters could arguably be the best method for explaining variations in healthcare cost. [ABSTRACT FROM AUTHOR]

Background: Small cell lung cancer (SCLC) is the most aggressive form of lung cancer. The prognosis for SCLC patients remains unsatisfactory despite advances in chemotherapy. In this study, we sought to clarify the prognosis and treatment patterns of patients with SCLC., Methods: A cohort comprising all patients diagnosed with SCLC between January 2004 and December 2006 was assembled from the Taiwan Cancer Database. Patients were followed up until December 31, 2009, to determine overall survival. Patient survival was estimated using the Kaplan-Meier method, and Cox's proportional hazard model was used to determine the relationship between prognostic factors and median survival time., Results: Among the 1,684 patients diagnosed with SCLC, 1,215 (72%) were diagnosed with extensive-stage disease and 469 (28%) with limited-stage disease. Most of the patients were male (90%). The median survival duration of patients with limited-stage and extensive-stage SCLC was 10.3 months and 5.6 months, respectively. For limited-stage patients, surgery, chemotherapy, and combined chemotherapy and radiotherapy resulted in better survival than best supportive care (HR 0.20, p < 0.001; HR 0.61, p < 0.001, and HR 0.37, p < 0.001, respectively). For extensive-stage patients, male gender was significantly associated with a poor prognosis (HR 1.45, p < 0.001) and chemotherapy was shown to improve overall survival more effectively than best supportive care (HR 0.37, p < 0.001)., Conclusion: For limited-stage SCLC patients, surgery, chemotherapy, and combined chemotherapy and radiotherapy improved survival compared to best supportive care. Extensive-stage SCLC patients benefited more from chemotherapy treatment than from best supportive care., (Copyright © 2012 S. Karger AG, Basel.)

Background: Diabetes mellitus (DM) has been implicated in influencing the survival duration of patients with breast cancer. However, less is known about the impact of DM and other comorbidities on the breast cancer-specific survival (BCS) and overall survival (OS) outcomes of Asian patients with early-stage breast cancer., Patients and Methods: The characteristics of female patients with newly diagnosed, early-stage breast cancer were collected from the Taiwan Cancer Registry database for 2003-2004. DM status and other comorbidities were retrieved from Taiwan's National Health Insurance database. The BCS and OS times of patients according to DM status were estimated via the Kaplan-Meier method. Cox's proportional hazard model was used to estimate adjusted hazard ratios (HRs) for the effects of DM, comorbidities, and other risk factors on mortality., Results: In total, 4,390 patients were identified and 341 (7.7%) presented with DM. The 5-year BCS and OS rates were significantly greater in DM patients than in non-DM patients (BCS, 85% versus 91%; OS, 79% versus 90%). Furthermore, after adjusting for clinicopathologic variables and comorbidities, DM remained an independent predictor of shorter BCS (adjusted HR, 1.53) and OS (adjusted HR, 1.71) times. Subgroup analyses also demonstrated a consistent prognostic influence of DM across different groups., Conclusion: In Asian patients with early-stage breast cancer, DM is an independent predictor of lower BCS and OS rates, even after adjusting for other comorbidities. The integration of DM care as part of the continuum of care for early-stage breast cancer should be emphasized.

Purpose: To evaluate the impact of the nationwide pay-for-performance (P4P) program for breast cancer care (BC-P4P) in Taiwan on care quality, patient survival, and recurrence., Study Design: A population-based observational study with cross-sectional design., Methods: Retrospective analysis of population-based cancer registration and claims data was used in this study. A total of 4,528 patients with stage I or II breast cancer diagnosed in 2002 or 2003 who received curative surgery were observed until the end of 2008. This study applied multivariate linear regression to explore the association between BC-P4P enrollment and quality of care. Cox regression was applied to examine the effect of BC-P4P enrollment on 5-year recurrence and overall survival among patients with breast cancer., Results: After controlling for age, stage, type of surgery, and other factors, BC-P4P enrollees were found to have received better quality care than nonenrollees (P = .001). Cox regression models also indicated that after controlling for patient characteristics, quality of care was related to better 5-year overall survival (odds ratio [OR], 0.212; P = .001) and recurrence (OR, 0.289; P < .001). Even when controlled by quality of care provided to patients and its interaction with status of BC-P4P enrollment, BC-P4P enrollment remained statistically significant regarding 5-year overall survival (OR, 0.167; P < .001) and recurrence (OR, 0.370; P = .002)., Conclusion: Patients with breast cancer enrolled in the BC-P4P program received better quality care and had better outcome than nonenrolled patients. Evidence from this study indicates that financial incentives in the payment design had a positive impact on outcome of breast cancer care.