Survival disparities among non-elderly American adults with locally advanced gastric cancer undergoing gastrectomy by health insurance status.

INTRODUCTION: The impact of health insurance status on the survival outcomes of patients with locally advanced gastric cancer (LAGC) receiving gastrectomy have not been addressed in depth. We aim to identify definite associations of health insurance status with cancer-specific survival (CSS) and overall survival (OS) in this population. METHODS: We identified LAGC patients aged 18 to 64 years undergoing gastrectomy with complete insurance records, between January 1, 2007, and December 31, 2016, from 18 Surveillance, Epidemiology, and End Results database registries. Relationships between health insurance status and OS/CSS were explored by Kaplan-Meier time-to-event analysis and uni-/multi-variate Cox regression. Probable baseline confounder was adjusted by multiple propensity score (mPS)-adjusted analysis. RESULTS: In total, 5,860 patients met the inclusion criteria. In the multivariate Cox regression, Medicaid coverage was related to poorer OS than private insurance. Non-insurance or Medicaid coverage versus private insurance tended to present poorer OS in the mPS-adjusted model, but this result was insignificant for CSS. CONCLUSIONS: Our observational study of exposure-outcome associations suggests that limited or no insurance is moderately linked with OS among LAGC patients undergoing gastrectomy and aged 18-64 years. Healthcare accessibility and broad insurance coverage probably strengthen some disparity outcomes.

Outcomes of Lymphoma Among American Adolescent and Young Adult Patients Varied by Health Insurance-A SEER-based Study.

INTRODUCTION: Impacts of health insurance status on survival outcomes among adolescent and young adult (AYA, 15 to 39 years of age) patients with lymphoma in the United States are insufficiently known. This study aimed to clarify associations between health insurance status and overall survival (OS) estimates in this population. MATERIALS AND METHODS: We examined 18 Surveillance, Epidemiology, and End Results registries in the United States and analyzed American AYA patients with lymphoma diagnosed during January 2007 and December 2016. Health insurance status was categorized, and Kaplan-Meier and multifactor Cox regressions were adopted using hazard ratio and 95% confidence interval. Probable baseline confounding was modulated by multiple propensity score. RESULTS: A total of 21,149 patients were considered; ~28% were 18 to 25 years old, and 63.5% and 7.5% had private and no insurance, respectively. Private insurance rates increased in the 18 to 25 age group (60.1% to 6.1%, P<0.001) following the 2010 Patient Protection and Affordable Care Act (ACA), and lymphoma survival rates improved slightly 1 to 5 years postdiagnosis. Five-year OS rates decreased with age (93.9%, 90.4%, and 87.0% at 15 to 17, 18 to 25, and 26 to 39, respectively) and differed among insurance conditions (81.7%, 79.2%, 89.2%, and 92.0% for uninsured, Medicaid, insured, and insured/no specifics, respectively). Risk of death was significantly higher for those with Medicaid or no insurance than for those with private insurance in multiple propensity score-adjusted models (hazard ratio [95% confidence interval]=1.07 [1.03-1.12]), independent of stage at diagnosis. CONCLUSIONS: No or insufficient insurance was linked to poor OS in our sample in exposure-outcome association analysis. Insurance coverage and health care availability may enhance disparate outcomes of AYAs with cancer. The ACA has improved insurance coverage and survival rates for out sample. Nevertheless, strategies are needed to identify causality and eliminate disparities.

Health insurance status and outcomes in children, adolescents, and young adults: a systematic review and meta-analysis.

BACKGROUND: The impacts of health insurance status on survival outcomes in children, adolescents, and young adults (aged 0-39 years) with malignant tumors have not been addressed in depth. The present study aimed to identify significant relationships of health insurance condition with overall survival or all-cause mortality among children (age 0-14 years) and adolescents and young adults (AYAs, age 15-39 years) with malignant tumors. METHODS: PubMed, Wiley Cochrane Central Register of Controlled Trials, Econlit, CINAHL, Web of Knowledge, PsychInfo, Business Source Premier, ProQuest Dissertation & Theses Database, and SCOPUS were systematically searched from inception to February 29, 2020 with no language restriction. All related articles comparing the effect of health insurance status on the risk of overall survival and the risk of all-cause mortality in malignant conditions affecting children and AYAs were identified. Pooled risk ratios (RRs) and 95% confidence intervals (CIs) were computed using a random- or fixed-effect model as per the heterogeneity evaluated using Cochran`s Q and I < sup > 2 < /sup > statistics. RESULTS: Fourteen studies including 149,680 individuals were selected for this meta-analysis. The pooled RR for all-cause mortality with insurance versus without insurance was 0.78 (95%CI, 0.71-0.86; I2=33.7%). Among the insurance types, patients with private insurance presented with a lower all-cause mortality (RR 0.70, 95% CI 0.60-0.82), with considerable heterogeneity (I2=83.3%). CONCLUSIONS: The findings of this review suggest that a lack of or insufficient insurance is related to all-cause mortality of AYAs with malignant cancers. Strategies aimed at identifying causality and reducing disparities are warranted.

Survival Disparities in Multiple Myeloma by Health Insurance Status among US Non-Elderly Adults: A SEER-Based Comparative Analysis.

BACKGROUND/AIM: The impacts of health insurance status on survival outcomes in multiple myeloma (MM) have not been addressed in depth. The present study was conducted to identify definite relationships of cancer-specific survival (CSS) and overall survival (OS) with health insurance status in MM patients. METHODS: MM patients aged 18-64 years and with complete insurance records between January 1, 2007, and December 31, 2016, were identified from 18 Surveillance, Epidemiology, and End Results (SEER) Database registries. Health insurance condition was categorized as uninsured, any Medicaid, insured, and insured (no specifics). Relationships of health insurance condition with OS/CSS were identified through Kaplan-Meier, and uni-/multivariate Cox regressions using the hazard ratio and 95% confidence interval. Potential baseline confounding was adjusted using multiple propensity score (mPS). RESULTS: Totally 17,981 patients were included, including 68.3% with private insurance and only 4.9% with uninsurance. Log-rank test uncovered significant difference between health insurance status and OS/CSS among MM patients. Patients with non-insurance or Medicaid coverage in comparison with private insurance tended to present poorer OS/CSS both in multivariate Cox regression and in mPS-adjusted model (non-insurance vs. private insurance [OS/CSS]: 1.33 [1.20-1.48]/1.13 [1.00-1.28] and 1.45 [1.25-1.69]/1.18 [1.04-1.33], respectively; Medicaid coverage vs. private insurance [OS/CSS]: 1.67 [1.56-1.78]/1.25 [1.16-1.36] and 1.76 [1.62-1.90]/1.23 [1.13-1.35], respectively). CONCLUSIONS: Our observational study of exposure-outcome associations suggests that insufficient or no insurance is moderately linked with OS among MM patients aged 18-64 years. Wide insurance coverage and health-care availability may strengthen some disparate outcomes. In the future, prospective cohort research is needed to further clarify concrete risks with insurance type, owing to the lack of definite division of insurance data in SEER.