Literature DB >> 26058564

Disparities in survival by insurance status in patients with Hodgkin lymphoma.

Rahul R Parikh1,2, Michael L Grossbard3, B Lee Green4, Louis B Harrison5, Joachim Yahalom6.   

Abstract

BACKGROUND: The association between insurance status and outcomes has not been well established for patients with Hodgkin lymphoma (HL). The purpose of this study was to examine the disparities in overall survival (OS) by insurance status in a large cohort of patients with HL.
METHODS: The National Cancer Data Base (NCDB) was used to evaluate patients with stage I to IV HL from 1998 to 2011. The association between insurance status, covariables, and outcomes was assessed in a multivariate Cox proportional hazards model. Survival was estimated with the Kaplan-Meier method.
RESULTS: Among the 76,681 patients within the NCDB, 45,777 patients with stage I to IV HL were eligible for this study (median follow-up, 6.0 years). The median age was 39 years (range, 18-90 years). The insurance status was as follows: 3247 (7.1%) were uninsured, 7962 (17.4%) had Medicaid, 30,334 (66.3%) had private insurance, 3746 (8.2%) had managed care, and 488 (1.1%) had Medicare. Patients with an unfavorable insurance status (Medicaid/uninsured) were at a more advanced stage, had higher comorbidity scores, had B symptoms, and were in a lower income/education quartile (all P < .01). These patients were less likely to receive radiotherapy and start chemotherapy promptly and were less commonly treated at academic/research centers (all P < .01). Patients with unfavorable insurance had a 5-year OS of 54% versus 87% for those favorably insured (P < .01). When adjustments were made for covariates, an unfavorable insurance status was associated with significantly decreased OS (hazard ratio, 1.60; 95% confidence interval, 1.34-1.91; P < .01). The unfavorable insurance status rate increased from 22.8% to 28.8% between 1998 and 2011.
CONCLUSIONS: This study reveals that HL patients with Medicaid and uninsured patients have outcomes inferior to those of patients with more favorable insurance. Targeting this subset of patients with limited access to care may help to improve outcomes. Cancer 2015;121:3435-43.
© 2015 American Cancer Society. © 2015 American Cancer Society.

Entities:  

Keywords:  Hodgkin lymphoma; National Cancer Data Base; insurance; outcomes research; overall survival

Mesh:

Year:  2015        PMID: 26058564     DOI: 10.1002/cncr.29518

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  14 in total

1.  Health Insurance and Disparities in Mortality among Older Survivors of Critical Illness: A Population Study.

Authors:  Yoland F Philpotts; Xiaoyue Ma; Michaela R Anderson; May Hua; Matthew R Baldwin
Journal:  J Am Geriatr Soc       Date:  2019-08-26       Impact factor: 5.562

2.  Insurance status and mortality among patients with AIDS.

Authors:  A W Jabs; D A Jabs; M L Van Natta; F J Palella; C L Meinert
Journal:  HIV Med       Date:  2017-07-11       Impact factor: 3.180

3.  Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.

Authors:  Matthew R Baldwin; Jessica L Sell; Nina Heyden; Azka Javaid; David A Berlin; Wendy C Gonzalez; Peter B Bach; Mathew S Maurer; Gina S Lovasi; David J Lederer
Journal:  Crit Care Med       Date:  2017-06       Impact factor: 7.598

4.  Insurance status impacts overall survival in Burkitt lymphoma.

Authors:  Jordan S Goldstein; Jeffrey M Switchenko; Madhusmita Behera; Christopher R Flowers; Jean L Koff
Journal:  Leuk Lymphoma       Date:  2019-07-05

5.  First-line treatment in older patients with Hodgkin lymphoma: a Surveillance, Epidemiology, and End Results (SEER)-Medicare population-based study.

Authors:  Angie Mae Rodday; Theresa Hahn; Anita J Kumar; Peter K Lindenauer; Jonathan W Friedberg; Andrew M Evens; Susan K Parsons
Journal:  Br J Haematol       Date:  2020-02-23       Impact factor: 6.998

6.  Disparities in survival by insurance status in follicular lymphoma.

Authors:  Jordan S Goldstein; Loretta J Nastoupil; Xuesong Han; Ahmedin Jemal; Elizabeth Ward; Christopher R Flowers
Journal:  Blood       Date:  2018-07-24       Impact factor: 22.113

7.  Importance of baseline PET/CT imaging on radiation field design and relapse rates in patients with Hodgkin lymphoma.

Authors:  Nick Figura; Stella Flampouri; Nancy P Mendenhall; Christopher G Morris; Barry McCook; Savas Ozdemir; William Slayton; Eric Sandler; Bradford S Hoppe
Journal:  Adv Radiat Oncol       Date:  2017-01-18

8.  Interrelationship Between Health Insurance Status and Prostate Cancer Grade Can Have Critical Impact on Prostate Cancer Disease Control: A Retrospective Cohort Study.

Authors:  Shivanshu Awasthi; Travis Gerke; Vonetta L Williams; Francis Asamoah; Angelina K Fink; Rajesh Balkrishnan; Jong Y Park; Kosj Yamoah
Journal:  Cancer Control       Date:  2019 Jan-Dec       Impact factor: 3.302

9.  Outcomes and patterns of care in a nationwide cohort of pediatric medulloblastoma: Factors affecting proton therapy utilization.

Authors:  Andrew S Kopecky; Atif J Khan; Wilbur Pan; Richard Drachtman; Rahul R Parikh
Journal:  Adv Radiat Oncol       Date:  2017-07-19

10.  Impact of Provider Volume on Outcomes of Patients With Hodgkin Lymphoma.

Authors:  Catherine Ireland; Eric Wiedower; Muhammad Mirza; Melissa Crawley; Alexandria Tran; George Yaghmour; Mike G Martin
Journal:  World J Oncol       Date:  2018-05-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.