Influence of insurance status on survival of adults with glioblastoma multiforme: A population-based study

Xiaoming Rong, Wuyang Yang, Tomas Garzon-Muvdi, Justin M. Caplan, Xuan Hui, Michael Lim, Judy Huang

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

BACKGROUND: To the authors' knowledge, the impact of insurance status on the survival time of patients with glioblastoma multiforme (GBM) has not been fully understood. The objective of the current study was to clarify the association between insurance status and survival of patients with GBM by analyzing population-based data. METHODS: The authors performed a cohort study using data from the Surveillance, Epidemiology, and End Results program. They included adult patients (aged ≥18 years) with GBM as their primary diagnosis from the years 2007 to 2012. Patients without information regarding insurance status were excluded. A survival analysis between insurance status and GBM-related death was performed using an accelerated failure time model. Demographic and clinical variables were included to adjust for confounding effects. RESULTS: Among the 13,665 adult patients in the study cohort, 558 (4.1%) were uninsured, 1516 (11.1%) had Medicaid coverage, and 11,591 (84.8%) had non-Medicaid insurance. Compared with patients who were uninsured, insured patients were more likely to be older, female, white, married, and with a smaller tumor size at diagnosis. Accelerated failure time analysis demonstrated that older age (hazard ratio [HR], 1.04; P<.001), male sex (HR, 1.08; P<.001), large tumor size at the time of diagnosis (HR, 1.26; P<.001), uninsured status (HR, 1.14; P =.018), and Medicaid insurance (HR, 1.10; P =.006) were independent risk factors for shorter survival among patients with GBM, whereas radiotherapy (HR, 0.40; P<.001) and married status (HR, 0.86; P<.001) indicated a better outcome. The authors discovered an overall yearly progressive improvement in survival in patients with non-Medicaid insurance who were diagnosed from 2007 through 2011 (P =.015), but not in uninsured or Medicaid-insured patients. CONCLUSIONS: Variations existed in insurance status within the GBM population. Uninsured status and Medicaid insurance suggested shorter survival compared with non-Medicaid insurance among a population of patients with GBM. Cancer 2016;122:3157–65.

Original languageEnglish (US)
Pages (from-to)3157-3165
Number of pages9
JournalCancer
Volume122
Issue number20
DOIs
StatePublished - Oct 15 2016
Externally publishedYes

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Insurance Coverage
Glioblastoma
Survival
Population
Medicaid
Insurance
Cohort Studies
SEER Program
Neoplasms
Sex Ratio
Survival Analysis
Radiotherapy
Demography

Keywords

  • adult
  • glioblastoma multiforme
  • insurance status
  • Patient Protection and Affordable Care Act
  • survival

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Influence of insurance status on survival of adults with glioblastoma multiforme : A population-based study. / Rong, Xiaoming; Yang, Wuyang; Garzon-Muvdi, Tomas; Caplan, Justin M.; Hui, Xuan; Lim, Michael; Huang, Judy.

In: Cancer, Vol. 122, No. 20, 15.10.2016, p. 3157-3165.

Research output: Contribution to journalArticle

Rong, Xiaoming ; Yang, Wuyang ; Garzon-Muvdi, Tomas ; Caplan, Justin M. ; Hui, Xuan ; Lim, Michael ; Huang, Judy. / Influence of insurance status on survival of adults with glioblastoma multiforme : A population-based study. In: Cancer. 2016 ; Vol. 122, No. 20. pp. 3157-3165.
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abstract = "BACKGROUND: To the authors' knowledge, the impact of insurance status on the survival time of patients with glioblastoma multiforme (GBM) has not been fully understood. The objective of the current study was to clarify the association between insurance status and survival of patients with GBM by analyzing population-based data. METHODS: The authors performed a cohort study using data from the Surveillance, Epidemiology, and End Results program. They included adult patients (aged ≥18 years) with GBM as their primary diagnosis from the years 2007 to 2012. Patients without information regarding insurance status were excluded. A survival analysis between insurance status and GBM-related death was performed using an accelerated failure time model. Demographic and clinical variables were included to adjust for confounding effects. RESULTS: Among the 13,665 adult patients in the study cohort, 558 (4.1{\%}) were uninsured, 1516 (11.1{\%}) had Medicaid coverage, and 11,591 (84.8{\%}) had non-Medicaid insurance. Compared with patients who were uninsured, insured patients were more likely to be older, female, white, married, and with a smaller tumor size at diagnosis. Accelerated failure time analysis demonstrated that older age (hazard ratio [HR], 1.04; P<.001), male sex (HR, 1.08; P<.001), large tumor size at the time of diagnosis (HR, 1.26; P<.001), uninsured status (HR, 1.14; P =.018), and Medicaid insurance (HR, 1.10; P =.006) were independent risk factors for shorter survival among patients with GBM, whereas radiotherapy (HR, 0.40; P<.001) and married status (HR, 0.86; P<.001) indicated a better outcome. The authors discovered an overall yearly progressive improvement in survival in patients with non-Medicaid insurance who were diagnosed from 2007 through 2011 (P =.015), but not in uninsured or Medicaid-insured patients. CONCLUSIONS: Variations existed in insurance status within the GBM population. Uninsured status and Medicaid insurance suggested shorter survival compared with non-Medicaid insurance among a population of patients with GBM. Cancer 2016;122:3157–65.",
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T1 - Influence of insurance status on survival of adults with glioblastoma multiforme

T2 - A population-based study

AU - Rong, Xiaoming

AU - Yang, Wuyang

AU - Garzon-Muvdi, Tomas

AU - Caplan, Justin M.

AU - Hui, Xuan

AU - Lim, Michael

AU - Huang, Judy

PY - 2016/10/15

Y1 - 2016/10/15

N2 - BACKGROUND: To the authors' knowledge, the impact of insurance status on the survival time of patients with glioblastoma multiforme (GBM) has not been fully understood. The objective of the current study was to clarify the association between insurance status and survival of patients with GBM by analyzing population-based data. METHODS: The authors performed a cohort study using data from the Surveillance, Epidemiology, and End Results program. They included adult patients (aged ≥18 years) with GBM as their primary diagnosis from the years 2007 to 2012. Patients without information regarding insurance status were excluded. A survival analysis between insurance status and GBM-related death was performed using an accelerated failure time model. Demographic and clinical variables were included to adjust for confounding effects. RESULTS: Among the 13,665 adult patients in the study cohort, 558 (4.1%) were uninsured, 1516 (11.1%) had Medicaid coverage, and 11,591 (84.8%) had non-Medicaid insurance. Compared with patients who were uninsured, insured patients were more likely to be older, female, white, married, and with a smaller tumor size at diagnosis. Accelerated failure time analysis demonstrated that older age (hazard ratio [HR], 1.04; P<.001), male sex (HR, 1.08; P<.001), large tumor size at the time of diagnosis (HR, 1.26; P<.001), uninsured status (HR, 1.14; P =.018), and Medicaid insurance (HR, 1.10; P =.006) were independent risk factors for shorter survival among patients with GBM, whereas radiotherapy (HR, 0.40; P<.001) and married status (HR, 0.86; P<.001) indicated a better outcome. The authors discovered an overall yearly progressive improvement in survival in patients with non-Medicaid insurance who were diagnosed from 2007 through 2011 (P =.015), but not in uninsured or Medicaid-insured patients. CONCLUSIONS: Variations existed in insurance status within the GBM population. Uninsured status and Medicaid insurance suggested shorter survival compared with non-Medicaid insurance among a population of patients with GBM. Cancer 2016;122:3157–65.

AB - BACKGROUND: To the authors' knowledge, the impact of insurance status on the survival time of patients with glioblastoma multiforme (GBM) has not been fully understood. The objective of the current study was to clarify the association between insurance status and survival of patients with GBM by analyzing population-based data. METHODS: The authors performed a cohort study using data from the Surveillance, Epidemiology, and End Results program. They included adult patients (aged ≥18 years) with GBM as their primary diagnosis from the years 2007 to 2012. Patients without information regarding insurance status were excluded. A survival analysis between insurance status and GBM-related death was performed using an accelerated failure time model. Demographic and clinical variables were included to adjust for confounding effects. RESULTS: Among the 13,665 adult patients in the study cohort, 558 (4.1%) were uninsured, 1516 (11.1%) had Medicaid coverage, and 11,591 (84.8%) had non-Medicaid insurance. Compared with patients who were uninsured, insured patients were more likely to be older, female, white, married, and with a smaller tumor size at diagnosis. Accelerated failure time analysis demonstrated that older age (hazard ratio [HR], 1.04; P<.001), male sex (HR, 1.08; P<.001), large tumor size at the time of diagnosis (HR, 1.26; P<.001), uninsured status (HR, 1.14; P =.018), and Medicaid insurance (HR, 1.10; P =.006) were independent risk factors for shorter survival among patients with GBM, whereas radiotherapy (HR, 0.40; P<.001) and married status (HR, 0.86; P<.001) indicated a better outcome. The authors discovered an overall yearly progressive improvement in survival in patients with non-Medicaid insurance who were diagnosed from 2007 through 2011 (P =.015), but not in uninsured or Medicaid-insured patients. CONCLUSIONS: Variations existed in insurance status within the GBM population. Uninsured status and Medicaid insurance suggested shorter survival compared with non-Medicaid insurance among a population of patients with GBM. Cancer 2016;122:3157–65.

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KW - insurance status

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