Factors Associated With Treatment Refusal and Impact of Treatment Refusal on Survival of Patients With Small Cell Lung Cancer.

BACKGROUND: With fewer than 7% of patients with small cell lung cancer (SCLC) surviving 5 years after diagnosis, the receipt of recommended treatment is of utmost importance for patient survival. Nevertheless, treatment refusal by patients with SCLC has not been studied well. Our study examined factors associated with treatment refusal and the effect of refusal on patient survival. METHODS: From the National Cancer Database, we analyzed data of 107,988 patients with SCLC diagnosed between 2003 and 2012. Treatment refusals were analyzed separately for chemoradiotherapy among patients with limited stage disease (LS-SCLC) and chemotherapy among those with extensive stage disease (ES-SCLC). We used logistic regression to investigate factors associated with treatment refusal. We estimated survival probability using the Kaplan-Meier method and compared survival of those who received and refused treatment using Cox proportional hazards regression analysis. RESULTS: The refusal rates of chemoradiotherapy among patients with LS-SCLC and chemotherapy among those with ES-SCLC were 1.34% and 4.70%, respectively. From 2003 to 2012, trends show an increase of refusals, especially among the patients with ES-SCLC who were recommended chemotherapy. Multivariable analyses showed that in both SCLC groups, older age at diagnosis (>70 years), female gender, uninsured status, and presence of comorbidities were associated with treatment refusals. Patients with LS-SCLC who refused chemoradiotherapy had a higher risk of mortality than those who received treatment (HR, 4.96; 95% CI, 4.45-5.53); the median survival of those who refused treatment was 3 months vs 18 months for those who received it (P < .001). Similarly, patients with ES-SCLC who refused chemotherapy had a higher risk of mortality than those who received treatment (HR, 3.69; 95% CI, 3.48-3.92); the median survival was 1 month vs 7 months, respectively (P < .001). CONCLUSIONS: Treatment refusal among patients with SCLC was associated with worse survival. Strategies to increase patient acceptance of the recommended treatment need to be studied further.

Maternal characteristics and clinical diagnoses influence obstetrical outcomes in Indonesia.

This Indonesian study evaluates associations between near-miss status/death with maternal demographic, health care characteristics, and obstetrical complications, comparing results using retrospective and prospective data. The main outcome measures were obstetric conditions and socio-economic factors to predict near-miss/death. We abstracted all obstetric admissions (1,358 retrospective and 1,240 prospective) from two district hospitals in East Java, Indonesia between 4/1/2009 and 5/15/2010. Prospective data added socio-economic status, access to care and referral patterns. Reduced logistic models were constructed, and multivariate analyses used to assess association of risk variables to outcome. Using multivariate analysis, variables associated with risk of near-miss/death include postpartum hemorrhage (retrospective AOR 5.41, 95 % CI 2.64-11.08; prospective AOR 10.45, 95 % CI 5.59-19.52) and severe preeclampsia/eclampsia (retrospective AOR 1.94, 95 % CI 1.05-3.57; prospective AOR 3.26, 95 % CI 1.79-5.94). Associations with near-miss/death were seen for antepartum hemorrhage in retrospective data (AOR 9.34, 95 % CI 4.34-20.13), and prospectively for poverty (AOR 2.17, 95 % CI 1.33-3.54) and delivering outside the hospital (AOR 2.04, 95 % CI 1.08-3.82). Postpartum hemorrhage and severe preeclampsia/eclampsia are leading causes of near-miss/death in Indonesia. Poverty and delivery outside the hospital are significant risk factors. Prompt recognition of complications, timely referrals, standardized care protocols, prompt hospital triage, and structured provider education may reduce obstetric mortality and morbidity. Retrospective data were reliable, but prospective data provided valuable information about barriers to care and referral patterns.