Pattern of Care, Health Care Disparities, and Their Impact on Survival Outcomes in Stage IVB Cervical Cancer: A Nationwide Retrospective Cohort Study

Survival rates in Hispanic/Latinx subpopulations with cervical cancer associated with disparities in guideline-concordant care

BACKGROUND

Failure to deliver guideline-concordant treatment may contribute to disparities among Hispanic/Latinx cervical cancer patients. This study investigated the association between survival rates in Hispanic/Latinx subpopulations and the provision of guideline-concordant care.

METHODS

We analyzed patients with primary cervical cancer from 2004 to 2019 (National Cancer Database). We developed nine quality metrics based on FIGO staging (2009). Clinical and demographic covariates were analyzed using Chi-squared tests. Adjusted associations between receipt of guideline-concordant care and races and ethnicities were analyzed using multivariable marginal Poisson regression models. Adjusted Cox proportional hazard models were utilized to evaluate survival probability.

RESULTS

A total of 95,589 patients were included. Hispanic/Latinx and Non-Hispanic Black (NHB) populations were less likely to receive guideline-concordant care in four and five out of nine quality metrics, respectively. Nonetheless, the Hispanic/Latinx group exhibited better survival outcomes in seven of nine quality metrics. Compared to Mexican patients, Cuban patients were 1.17 times as likely to receive timely initiation of treatment in early-stage disease (RR 1.17, 95% CI 1.04-1.37, p < 0.001). Puerto Rican and Dominican patients were, respectively, 1.16 (RR 1.16, 95% CI 1.07-1.27, p < 0.001) and 1.19 (RR 1.19, 95% 1.04-1.37, p > 0.01) times as likely to undergo timely initiation of treatment in early-stage disease. Patients of South or Central American (RR 1.18, 95% CI 1.10-1.27, p < 0.001) origin were more likely to undergo timely initiation of treatment in locally advanced disease.

CONCLUSION

Significant differences in survival were identified among our cohort despite the receipt of guideline concordant care, with notably higher survival among Hispanic/Latinx populations.

Insurance status and access to cervical cancer treatment in a specialized cancer center in Mexico

To describe access to complete treatment in women with cervical cancer and state-sponsored insurance versus no insurance. We conducted a retrospective observational study. The source population consisted of women treated for cervical cancer from January 2000 to December 2015 in a tertiary care hospital. We included 411 women with state-sponsored insurance and 400 without insurance. We defined access to cervical cancer treatment as complete treatment (according NCCN/ESMO (National Comprehensive Cancer Network/European Society for Medical Oncology) standards) and timely initiation of treatment (less than 4 weeks). Clinical and sociodemographic characteristics were described and analyzed with logistic regression using complete treatment as the main outcome. A total of 811 subjects were included, the median age was 46 (IQR (Interquartile range) 42-50) years. Most of them were married (36.1%), unemployed (50.4%), and had completed primary school (44.0%). The most common clinical stages at diagnosis were II (38.2%) and III (24.7%). In the adjusted regression model, being married (OR (odds ratio): 4.3, 95% CI (confidence interval): 1.74-10.61) and having paid employment (OR: 2.79, 95% CI: 1.59-4.90) or state-sponsored insurance (OR: 1.54, 95% CI: 1.04-2.26) were positively associated with the possibility of having a complete treatment. Women with insurance were likely to be younger and receive timely treatment compared with uninsured women. Complete treatment was associated to insurance status and advanced stages of cervical cancer. State-sponsored insurance improves access to complete treatment. Government policies are needed to avoid social and economic inequity and provide better management of cervical cancer in our country.

A Bayesian network predicting survival of cervical cancer patients-Based on surveillance, epidemiology, and end results

This study aimed to build a comprehensive model for predicting the overall survival (OS) of cervical cancer patients who received standard treatments and to build a series of new stages based on the International Federation of Gynecologists and Obstetricians (FIGO) stages for better such predictions. We collected the cervical cancer patients diagnosed since the year 2000 from the Surveillance, Epidemiology, and End Results (SEER) database. Cervical cancer patients who received radiotherapy or surgery were included. Log-rank tests and Cox regression were used to identify potential factors of OS. Bayesian networks (BNs) were built to predict 3- and 5-year survival. We also grouped the patients into new stages by clustering their 5-year survival probabilities based on FIGO stage, age, and tumor differentiation. Cox regression suggested black ethnicity, adenocarcinoma, and single status as risks for poorer prognosis, in addition to age and stage. A total of 43,749 and 39,333 cases were finally eligible for the 3- and 5-year BNs, respectively, with 11 variables included. Cluster analysis and Kaplan-Meier curves indicated that it was best to divide the patients into nine modified stages. The BNs had excellent performance, with area under the curve and maximum accuracy of 0.855 and 0.804 for 3-year survival, and 0.851 and 0.787 for 5-year survival, respectively. Thus, BNs are excellent candidates for predicting cervical cancer survival. It is necessary to consider age and tumor differentiation when estimating the prognosis of cervical cancer using FIGO stages.

The Effect of Additional Private Health Insurance on Mortality in the Context of Universal Public Health Insurance

(1) Background: Korea operates its national health insurance (NHI) system as a form of public health insurance, and is commonly regarded as having achieved universal health coverage (UHC). However, many Korean households register for additional private health insurance (PHI) programs. Typically, registration rates for PHI are higher for individuals with a higher socioeconomic status (SES). A difference in mortality between those with and without additional PHI would indicate that there are health inequalities within the Korean NHI system under UHC. Therefore, this study aimed to confirm whether additional PHI affects mortality under the Korean NHI system. (2) Methods: We conducted a longitudinal study using the Korean Longitudinal Study of Aging data from the first to the sixth wave. The analysis included 8743 participants, who were divided into two groups: those who only had NHI and those who had both NHI and PHI. Differences in mortality between the two groups were compared using the Cox proportional hazard regression. (3) Results: The group with both NHI and PHI had lower mortality than the group with only NHI (hazard ratio = 0.53, 95% confidence interval: 0.41, 0.9). (4) Conclusions: The results of this study reveal that there are health disparities according to SES and PHI within the Korean NHI system under UHC. Therefore, relevant government institutions and experts should further improve the NHI system to reduce health disparities.