Association of insurance disparities and survival in adults with multiple myeloma: A non-concurrent cohort study

Survival Among Patients With Multiple Myeloma in the United States Military Health System Compared to the Surveillance, Epidemiology, and End Results (SEER) Program

BACKGROUND

Access to health care is an important factor affecting survival of patients with multiple myeloma (MM) in the U.S. general population. The U.S. Military Health System (MHS) provides universal health care to beneficiaries and has been associated with improved survival across multiple malignancies. In this study, we compared survival of MHS beneficiaries with MM with MM patients from the U.S. general population.

MATERIALS AND METHODS

The Department of Defense's Automated Central Tumor Registry (ACTUR) and the Surveillance, Epidemiology and End Results (SEER) databases were used to extract data for MM patients from MHS and the U.S. general population, respectively. Patients had histologically confirmed MM between 1987 and 2013 and were followed through 2015 for overall survival. Two SEER patients were matched to each ACTUR patient by age group, sex, race, and diagnosis year group. Five and 10-year survival was compared between ACTUR and SEER patients to estimate hazard ratios (HRs) and 95% confidence intervals (95% CI) with adjustment for potential confounders.

RESULTS

Median survival of the ACTUR patients was 47.1 months (95% CI: 43.9-50.4) compared to 33.0 months (95% CI, 32.0-35.0) of the SEER patients. Five and 10-year death rates were significantly lower for ACTUR patients than the SEER patients with an adjusted HR of 0.74 (95% CI, 0.68-0.81) and 0.79 (95% CI, 0.74-0.85), respectively. The survival advantage of ACTUR patients was preserved when stratified by age, sex, race, and diagnosis year.

CONCLUSION

MHS beneficiaries with MM had improved overall survival compared to MM patients from the U.S. general population.

Overall Survival in Patients With Multiple Myeloma in the U.S.: A Systematic Literature Review of Racial Disparities

Multiple myeloma (MM) accounts for 10% of hematologic cancers in the U.S.; however, incidence and mortality occur disproportionately between racial groups in real-world settings. Our study's objective was to systematically characterize the disparities in overall survival (OS) among Black and White patients with MM in the US using real-world evidence studies. A systematic literature review was undertaken by searching Embase and MEDLINE for observational studies conducted in the US, published between January 1, 2015 and October 25, 2021, and reporting OS for Black and White patients with MM. Records were reviewed by 2 independent researchers. OS data were extracted as hazard ratios (HR), median survival, or %, with methods of adjustment, as reported. Evidence quality was assessed by data source, population, and variables for which HRs for risk of death were adjusted. We included 33 US studies comprising 410,086 patients (21.5% Black; 78.5% White) with MM. Receipt of treatment varied; however, most studies reported that patients either underwent stem cell transplant and/or received systemic therapy. HRs from 9 studies were considered "high quality" by comparing nationally representative, generalizable cohorts and adjusting for key prognostic, treatment, and/or socioeconomic factors. After adjustment, these data suggested that Black patients exhibit similar or superior survival outcomes compared with their White counterparts. When data are adjusted for important confounders, Black patients exhibit better or equal survival to White patients, indicating that similarities in patient populations and equal access to treatment can bridge the disparity in patient outcomes between races.

Disparities in Time to Diagnosis Among Patients With Multiple Myeloma

BACKGROUND

Multiple myeloma (MM) is one of the most diagnosed hematologic malignancies in the United States. Despite improvements in therapy, health disparities persist among patients with MM. Here, we aim to determine whether there are disparities in time to diagnosis (TTD) among MM patients with regard to income, race/ethnicity, and gender.

PATIENTS

Patients with a monoclonal protein detected in the serum and/or urine and a subsequent bone marrow biopsy confirmed diagnosis of MM were included in the study.

METHODS

We extracted data on patients with MM and assessed whether the predictor variables were associated with the primary outcome of TTD, which we define as the time between detection of a monoclonal protein in the serum or urine and bone marrow biopsy diagnosis of MM.

RESULTS

Compared to patients with commercial insurance, patients receiving Medicaid (HR: 0.408, 95% CI: 0.206-0.808; P = .010) and patients without insurance (HR: 0.428, 95% CI: 0.207-0.885; P = .022) were significantly more likely to have delayed TTD. TTD was also prolonged if the provider who ordered the testing for the detection of a monoclonal protein was not a hematologist (HR: 0.435, 95% CI: 0.284-0.668; P < .0001). No disparities were found with regard to race/ethnicity or gender.

CONCLUSION

This study suggests there may be socioeconomic disparities in TTD among patients with MM. Interventions such as patient navigation may be useful to reduce TTD among socioeconomically disadvantaged patient populations. Further studies need to be conducted to elucidate reasons for delays.

Global disparities in patients with multiple myeloma: a rapid evidence assessment

There are disparities in outcomes for patients with multiple myeloma (MM). We evaluated the influence of sociodemographic factors on global disparities in outcomes for patients with MM. This rapid evidence assessment (PROSPERO, CRD42021248461) followed PRISMA-P guidelines and used the PICOS framework. PubMed and Embase® were searched for articles in English from 2011 to 2021. The title, abstract, and full text of articles were screened according to inclusion/exclusion criteria. The sociodemographic factors assessed were age, sex, race/ethnicity, socioeconomic status, and geographic location. Outcomes were diagnosis, access to treatment, and patient outcomes. Of 84 articles included, 48 were US-based. Worldwide, increasing age and low socioeconomic status were associated with worse patient outcomes. In the US, men typically had worse outcomes than women, although women had poorer access to treatment, as did Black, Asian, and Hispanic patients. No consistent disparities due to sex were seen outside the US, and for most factors and outcomes, no consistent disparities could be identified globally. Too few studies examined disparities in diagnosis to draw firm conclusions. This first systematic analysis of health disparities in patients with MM identified specific populations affected, highlighting a need for additional research focused on assessing patterns, trends, and underlying drivers of disparities in MM.

Association Between Insurance Status and Chondrosarcoma Stage at Diagnosis in the United States: Implications for Detection and Outcomes

INTRODUCTION

Chondrosarcoma is a common primary bone tumor, and survival is highly influenced by stage at diagnosis. Early detection is paramount to improve outcomes. The aim of this study is to analyze the association between insurance status and stage of chondrosarcoma at the time of diagnosis.

METHODS

A comparative cross-sectional study was conducted using the Surveillance, Epidemiology and End Results database. Patients with a diagnosis of chondrosarcoma between 2007 and 2016 were included. Exposure variable was insurance status and the outcome chondrosarcoma staging at the time of diagnosis. Control variables included tumor grade, age, sex, race, ethnicity, marital status, place of residence, and primary site. Both unadjusted and adjusted (multiple logistic regression) odds ratios (ORs) and 95% confidence intervals (CIs) were computed to estimate the association between insurance status and stage.

RESULTS

An effective sample of 2,187 patients was included for analysis. In total, 1824 (83%) patients had health insurance (nonspecified), 277 (13%) had Medicaid, and the remaining 86 (4%) had no insurance. Regarding stage at diagnosis, 1,213 (55%) had localized disease, whereas 974 (45%) had a later stage at presentation. Before adjustment, the odds of being diagnosed at an advanced (regional/distant) stage were 55% higher in patients without insurance (unadjusted OR 1.55; 95% CI 1.003 to 2.39). After adjusting for potential confounders, the odds increased (adjusted OR 1.94; 95% CI 1.12 to 3.32). Variables with a significant association with a later stage at diagnosis included older age ( P < 0.001), male sex ( P < 0.001), pelvic location ( P < 0.001), and high grade ( P < 0.001).

CONCLUSION

Being uninsured in the United States increased the odds of a late-stage diagnosis of chondrosarcoma by 94% when compared with insured patients. Lack of medical insurance presumably leads to diminished access to necessary diagnostic testing, which results in a more advanced stage at diagnosis and ultimately a worse prognosis. Efforts are required to remediate healthcare access disparities.

LEVEL OF EVIDENCE

Level III.

Insurance-based disparities impact survival outcomes in Waldenström macroglobulinemia within the United States

Considerable healthcare resource utilization and financial burden have been associated with the treatment of WM; however, the impact of health insurance status on outcomes has not been previously reported. We conducted a National Cancer Database analysis of newly diagnosed cases of active WM between 2004 and 2017 to evaluate the impact of insurance status on outcomes. For patients <65 years old (n = 1249, male sex: 62.4%, median age: 58 years), significant insurance-based survival differences were observed on multivariable analysis; patients who were uninsured [n = 63; HR 3.11 (95%CI, 1.77-5.45), p < 0.001], on Medicaid [n = 87; HR 1.88 (95% CI, 1.01-3.48), p = 0.045], or on Medicare [n = 122; HR 2.78 (95%CI, 1.76-4.38), p < 0.001], had inferior survival compared to patients with private insurance (n = 977; reference). In patients ≥65 years, no insurance-based survival differences were found (p = 0.10). Overall, significant insurance-based outcome disparities exist in WM. Further work is desperately needed to systematically uncover and address these disparities.

Socioeconomic status-based survival disparities and nomogram prediction for patients with multiple myeloma: Results from American and Chinese populations

Objective

This study aimed to comprehensively investigate the relationship between the survival differences and socioeconomic status (SES) in patients with multiple myeloma (MM) and construct a predictive nomogram to assess clinical outcomes of MM patients.

Methods

The Surveillance, Epidemiology, and End Results (SEER) census tract-level SES database provides two specialized attributes: SES index and rurality. Using this database, 37,819 patients diagnosed with MM between January 2007 and December 2016 were enrolled. We evaluated the effects of SES index on overall survival (OS) and myeloma-specific survival (MSS) using Kaplan-Meier curves and Cox regression analyses. Thereafter, we included 126 patients with MM from two independent medical centers in China and divided them into training (Center 1) and validation (Center 2) cohorts. Univariate and multivariate Cox analyses were used in the training cohort to construct a nomogram for predicting clinical outcomes. Nomogram performance was assessed using the area under the curve (AUC) and calibration curves.

Results

In the SEER cohort, lower SES was significantly associated with worse OS rates and MSS rates (both P < 0.001). Multivariate analysis confirmed SES as an independent predictor of survival. Subgroup analysis indicated an increasing linear trend in survival benefits in non-Hispanic White, married, insured, and urban populations with increasing SES (all P < 0.001). In the training cohort, albumin, creatinine, rurality, and SES were confirmed as independent prognostic indicators. A nomogram for OS prediction was developed using these four factors, and it showed satisfactory discrimination and calibration. The 18- and 36-month AUC values of the nomogram were 0.79 and 0.82, respectively. Based on the total nomogram points, patients were categorized into two risk levels with good separation.

Conclusion

SES strongly influences survival disparities in patients with MM. Our nomogram consisting of clinical and sociodemographic characteristics can potentially predict survival outcomes.

Socioeconomic Status and Adult Gliomas Mortality Risk: An Observational Study Based on SEER Data

BACKGROUND

Socioeconomic status (SES) is presented as a complex structure and has not been studied adequately among adult patients with glioma. This study aims to identify the intrinsic linkages of community-level SES multivariables and discover the effects of the various patterns of these indicators on prognosis of adult gliomas.

METHODS

Based on data from the SEER (Surveillance Epidemiology and End Results) database, 44,816 adults diagnosed with gliomas from 2007 to 2016 were enrolled for the research. We first used factor analysis and cluster analysis to process SES data. Then, univariable and multivariable Cox proportional hazards models were used to analyze the risk indicators.

RESULTS

Four integrated SES factors were identified: factor 1, economic and social disadvantage (economic and education disadvantage); factor 2, immigration-associated characteristics (foreign-born, language isolation, less household room, recent interstate residential stability); factor 3, housing instability; and factor 4, absence of intrastate mobility. Factor 1 was a risk indicator for survival, whereas factor 2 and factor 4 were protective indicators. All patients fell into 7 cluster groups. Compared with cluster 1, clusters 2, 3, 4, and 7 had a better prognosis, whereas cluster 6 had a shorter survival.

CONCLUSIONS

The combinatorial patterns of SES indicators and pattern-based groups do influence the outcomes of adult gliomas. Special attention is given to patients living in areas with specialized economic-educational disadvantages, relocation instability, and immigration-related characteristics.