Literature DB >> 35500609

Medicaid expansion and 2-year survival in women with gynecologic cancer: a difference-in-difference analysis.

Sarah P Huepenbecker1, Shuangshuang Fu2, Charlotte C Sun1, Hui Zhao2, Kristin M Primm3, Sharon H Giordano2, Larissa A Meyer4.   

Abstract

BACKGROUND: The Affordable Care Act implemented optional Medicaid expansion starting in 2014, but the association between Medicaid expansion and gynecologic cancer survival is unknown.
OBJECTIVE: To evaluate the impact of Medicaid expansion by comparing 2-year survival among gynecologic cancers before and after 2014 in states that did and did not expand Medicaid using a difference-in-difference analysis. STUDY
DESIGN: We searched the National Cancer Database for women aged 40 to 64 years, diagnosed with a primary gynecologic malignancy (endometrial, ovarian, cervical, vulvar, and vaginal) between 2010 and 2016. We used a quasiexperimental difference-in-difference multivariable Cox regression analysis to compare 2-year survival between states that expanded Medicaid in January 2014 and states that did not expand Medicaid as of 2016. We performed univariable subgroup difference-in-difference Cox regression analyses on the basis of stage, income, race, ethnicity, and geographic location. Adjusted linear difference-in-difference regressions evaluated the proportion of uninsured patients on the basis of expansion status after 2014. We evaluated adjusted Kaplan-Meier curves to examine differences on the basis of study period and expansion status.
RESULTS: Our sample included 169,731 women, including 78,669 (46.3%) in expansion states and 91,062 (53.7%) in nonexpansion states. There was improved 2-year survival on adjusted difference-in-difference Cox regressions for women with ovarian cancer in expansion than in nonexpansion states after 2014 (hazard ratio, 0.88; 95% confidence interval, 0.82-0.94; P<.001) with no differences in endometrial, cervical, vaginal, vulvar, or combined gynecologic cancer sites on the basis of expansion status. On univariable subgroup difference-in-difference Cox analyses, women with ovarian cancer with stage III-IV disease (P=.008), non-Hispanic ethnicity (P=.042), those in the South (P=.016), and women with vulvar cancer in the Northeast (P=.022), had improved 2-year survival in expansion than in nonexpansion states after 2014. In contrast, women with cervical cancer in the South (P=.018) had worse 2-year survival in expansion than in nonexpansion states after 2014. All cancer sites had lower proportions of uninsured patients in expansion than in nonexpansion states after 2014.
CONCLUSION: There was a significant association between Medicaid expansion and improved 2-year survival for women with ovarian cancer in states that expanded Medicaid after 2014. Despite improved insurance coverage, racial, ethnic, and regional survival differences exist between expansion and nonexpansion states.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Affordable Care Act; cervical cancer; endometrial cancer; epidemiology; health disparities; health insurance; health policy; ovarian cancer; vaginal cancer; vulvar cancer

Mesh:

Year:  2022        PMID: 35500609      PMCID: PMC9420833          DOI: 10.1016/j.ajog.2022.04.045

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   10.693


  39 in total

1.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

2.  Effect of Medicaid Expansion on Colorectal Cancer Screening Rates.

Authors:  Yasmin A Zerhouni; Quoc-Dien Trinh; Stuart Lipsitz; Joel Goldberg; Jennifer Irani; Ronald Bleday; Adil H Haider; Nelya Melnitchouk
Journal:  Dis Colon Rectum       Date:  2019-01       Impact factor: 4.585

3.  Methods for evaluating changes in health care policy: the difference-in-differences approach.

Authors:  Justin B Dimick; Andrew M Ryan
Journal:  JAMA       Date:  2014-12-10       Impact factor: 56.272

4.  Impact of socioeconomic status on survival in patients with ovarian cancer.

Authors:  Joséphine Gardy; Olivier Dejardin; Alexandre Thobie; Yassine Eid; Anne-Valérie Guizard; Guy Launoy
Journal:  Int J Gynecol Cancer       Date:  2019-02-01       Impact factor: 3.437

5.  Impact of the Affordable Care Act on Colorectal Cancer Outcomes: A Systematic Review.

Authors:  Michelle R Xu; Amanda M B Kelly; Lawrence H Kushi; Mary E Reed; Howard K Koh; Donna Spiegelman
Journal:  Am J Prev Med       Date:  2020-01-31       Impact factor: 5.043

Review 6.  Using the National Cancer Database for Outcomes Research: A Review.

Authors:  Daniel J Boffa; Joshua E Rosen; Katherine Mallin; Ashley Loomis; Greer Gay; Bryan Palis; Kathleen Thoburn; Donna Gress; Daniel P McKellar; Lawrence N Shulman; Matthew A Facktor; David P Winchester
Journal:  JAMA Oncol       Date:  2017-12-01       Impact factor: 31.777

7.  Cervical and colorectal cancer screening prevalence before and after Affordable Care Act Medicaid expansion.

Authors:  Nathalie Huguet; Heather Angier; Rebecca Rdesinski; Megan Hoopes; Miguel Marino; Heather Holderness; Jennifer E DeVoe
Journal:  Prev Med       Date:  2019-05-08       Impact factor: 4.018

8.  The effect of guideline-concordant care in mitigating insurance status disparities in cervical cancer.

Authors:  Jenny Wu; Yongmei Huang; Ana I Tergas; Alexander Melamed; Fady Khoury-Collado; June Y Hou; Caryn M St Clair; Cande V Ananth; Dawn L Hershman; Jason D Wright
Journal:  Gynecol Oncol       Date:  2020-08-14       Impact factor: 5.482

9.  Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival.

Authors:  Daniel X Yang; Rohan Khera; Joseph A Miccio; Vikram Jairam; Enoch Chang; James B Yu; Henry S Park; Harlan M Krumholz; Sanjay Aneja
Journal:  JAMA Netw Open       Date:  2021-03-01

Review 10.  Insurance-Mediated Disparities in Gynecologic Oncology Care.

Authors:  Anna Jo Bodurtha Smith; Daniella Pena; Emily Ko
Journal:  Obstet Gynecol       Date:  2022-02-01       Impact factor: 7.661

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