Dataset Information

Survival disparities by insurance type for patients aged 15-64 years with non-Hodgkin lymphoma.

ABSTRACT:

Background

New treatment options and supportive care measures have greatly improved survival of patients with non-Hodgkin lymphoma (NHL) but may not be affordable for those with no insurance or inadequate insurance.

Methods

Using data from the Surveillance, Epidemiology, and End Results database, we estimated overall and cause-specific survival according to insurance status within 3 years after diagnosis of patients diagnosed with NHL in the U.S. in the period 2007-2011. Because NHL is a heterogeneous condition, we also examined survival in diffuse large B-cell lymphoma (DLBCL).

Results

Survival was higher for patients with non-Medicaid insurance compared with either uninsured patients or patients with Medicaid. For patients with any NHL, the 3-year survival estimates were 68.0% for uninsured patients, 60.7% for patients with Medicaid, and 84.9% for patients with non-Medicaid insurance. Hazard ratios (HRs) for uninsured and Medicaid-only patients compared with insured patients were 1.92 (95% confidence interval [CI]: 1.76-2.10) and 2.51 (95% CI: 2.36-2.68), respectively. Results were similar for patients with DLBCL, with survival estimates of 68.5% for uninsured patients (HR: 1.78; 95% CI: 1.57-2.02), 58%, for patients with Medicaid (HR: 2.42; 95% CI: 2.22-2.64), and 83.3% for patients with non-Medicaid insurance. Cause-specific analysis showed survival estimates of 80.3% for uninsured patients (HR: 1.83; 95% CI: 1.62-2.05), 77.7% for patients with Medicaid (HR: 2.23; 95% CI: 2.05-2.42), and 90.5% for patients with non-Medicaid insurance.

Conclusion

Lack of insurance and Medicaid only were associated with significantly lower survival for patients with NHL. Further evaluation of the reasons for this disparity and implementation of comprehensive coverage for medical care are urgently needed.

SUBMITTER: Pulte D

PROVIDER: S-EPMC4425386 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

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Publications

Survival disparities by insurance type for patients aged 15-64 years with non-Hodgkin lymphoma.

Pulte Dianne D Jansen Lina L Brenner Hermann H

The oncologist 20150415 5

<h4>Background</h4>New treatment options and supportive care measures have greatly improved survival of patients with non-Hodgkin lymphoma (NHL) but may not be affordable for those with no insurance or inadequate insurance.<h4>Methods</h4>Using data from the Surveillance, Epidemiology, and End Results database, we estimated overall and cause-specific survival according to insurance status within 3 years after diagnosis of patients diagnosed with NHL in the U.S. in the period 2007-2011. Because N ...[more]

PMID: 25876991

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Project description:BackgroundNon-Hodgkin lymphoma (NHL) comprises biologically and clinically heterogeneous subtypes. Previously, study size has limited the ability to compare and contrast the risk factor profiles among these heterogeneous subtypes.MethodsWe pooled individual-level data from 17 471 NHL cases and 23 096 controls in 20 case-control studies from the International Lymphoma Epidemiology Consortium (InterLymph). We estimated the associations, measured as odds ratios, between each of 11 NHL subtypes and self-reported medical history, family history of hematologic malignancy, lifestyle factors, and occupation. We then assessed the heterogeneity of associations by evaluating the variability (Q value) of the estimated odds ratios for a given exposure among subtypes. Finally, we organized the subtypes into a hierarchical tree to identify groups that had similar risk factor profiles. Statistical significance of tree partitions was estimated by permutation-based P values (P NODE).ResultsRisks differed statistically significantly among NHL subtypes for medical history factors (autoimmune diseases, hepatitis C virus seropositivity, eczema, and blood transfusion), family history of leukemia and multiple myeloma, alcohol consumption, cigarette smoking, and certain occupations, whereas generally homogeneous risks among subtypes were observed for family history of NHL, recreational sun exposure, hay fever, allergy, and socioeconomic status. Overall, the greatest difference in risk factors occurred between T-cell and B-cell lymphomas (P NODE < 1.0×10(-4)), with increased risks generally restricted to T-cell lymphomas for eczema, T-cell-activating autoimmune diseases, family history of multiple myeloma, and occupation as a painter. We further observed substantial heterogeneity among B-cell lymphomas (P NODE < 1.0×10(-4)). Increased risks for B-cell-activating autoimmune disease and hepatitis C virus seropositivity and decreased risks for alcohol consumption and occupation as a teacher generally were restricted to marginal zone lymphoma, Burkitt/Burkitt-like lymphoma/leukemia, diffuse large B-cell lymphoma, and/or lymphoplasmacytic lymphoma/Waldenström macroglobulinemia.ConclusionsUsing a novel approach to investigate etiologic heterogeneity among NHL subtypes, we identified risk factors that were common among subtypes as well as risk factors that appeared to be distinct among individual or a few subtypes, suggesting both subtype-specific and shared underlying mechanisms. Further research is needed to test putative mechanisms, investigate other risk factors (eg, other infections, environmental exposures, and diet), and evaluate potential joint effects with genetic susceptibility.

Project description:BackgroundThe most commonly diagnosed cancers among women are breast and cervical cancers, with cervical cancer being a relatively bigger problem in low and middle income countries (LMICs) than breast cancer.MethodsThe main aim of this study was to asses factors associated with and socioeconomic inequalities in breast and cervical cancer screening among women aged 15-64 years in Botswana. This study is part of the broad study on Chronic Non-Communicable Diseases in Botswana conducted (NCD survey) in 2016. The NCD survey was conducted across 3 cities and towns, 15 urban villages and 15 rural areas of Botswana. The survey collected information on several NCDs and risk factors including cervical and breast cancer screening. The survey adopted a multistage sampling design and a sample of 1178 participants (males and females) aged 15 years and above was selected in both urban and rural areas of Botswana. For this study, a sub-sample of 813 women aged 15-64 years was selected and included in the analysis. The inequality analysis was conducted using decomposition analysis using ADePT software version 6. Logistic regression models were used to show the association between socioeconomic variables and cervical and breast cancer screening using SPSS version 25. All comparisons were considered statistically significant at 5%.ResultsOverall, 6% and 62% of women reported that they were screened for breast and cervical cancer, respectively. Women in the poorest (AOR = 0.16, 95% CI = 0.06-0.45) and poorer (AOR = 0.37, 95% CI = 0.14-0.96) wealth quintiles were less likely to report cervical cancer screening compared to women in the richest wealth quintile. Similarly, for breast cancer, the odds of screening were found to be low among women in the poorest (AOR = 0.39, 95% CI = 0.06-0.68) and the poorer (AOR = 0.45, 95% CI = 0.13-0.81)) wealth quintiles. Concentration indices (CI) showed that cervical (CI = 0.2443) and breast cancer (CI = 0.3975) screening were more concentrated among women with high SES than women with low SES. Wealth status was observed to be the leading contributor to socioeconomic inequality observed for both cervical and breast cancer screening.ConclusionsFindings in this study indicate the need for concerted efforts to address the health care needs of the poor in order to reduce cervical and breast cancer screening inequalities.

Dataset Information

Survival disparities by insurance type for patients aged 15-64 years with non-Hodgkin lymphoma.

Background

Methods

Results

Conclusion

Publications

Survival disparities by insurance type for patients aged 15-64 years with non-Hodgkin lymphoma.

Similar Datasets

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