Reducing Medicaid Coverage Gaps for Youth During Reentry

2021 ◽  
Author(s):  
Christopher Scannell ◽  
Elaine Michelle Albertson ◽  
Neda Ashtari ◽  
Elizabeth S. Barnert
Keyword(s):  
Medicaid Coverage

Americans' Experiences with Marketplace and Medicaid Coverage

2015 ◽  
Author(s):  
Sara R. Collins Collins ◽  
Michelle M. Doty Doty ◽  
Petra W. Rasmussen Rasmussen ◽  
Sophie Beutel Beutel
Keyword(s):  
Medicaid Coverage

scholarly journals Medicaid Coverage for Tobacco Dependence Treatment: Enrollee Awareness and Use

2021 ◽  
pp. 101509
Author(s):  
Kim A. Hayes ◽  
Lindsay T. Olson ◽  
Elizabeth M. Brown ◽  
Haven B. Battles ◽  
Harlan R. Juster
Keyword(s):  
Tobacco Dependence ◽  
Medicaid Coverage ◽  
Tobacco Dependence Treatment

Medicaid Coverage ‘Cliff’ Increases Expenses And Decreases Care For Near-Poor Medicare Beneficiaries

2021 ◽  
Vol 40 (4) ◽  
pp. 552-561
Author(s):  
Eric T. Roberts ◽  
Alexandra Glynn ◽  
Noelle Cornelio ◽  
Julie M. Donohue ◽  
Walid F. Gellad ◽  
...  
Keyword(s):  
Medicare Beneficiaries ◽  
Medicaid Coverage

scholarly journals Does Medicaid Coverage Modify the Relationship between Glycemic Status and Teeth Present in Older Adults?

2018 ◽  
Vol 29 (4) ◽  
pp. 1509-1528 ◽  
Author(s):  
Mary E. Northridge ◽  
Bibhas Chakraborty ◽  
Sedigheh Mirzaei Salehabadi ◽  
Sara S. Metcalf ◽  
Carol Kunzel ◽  
...  
Keyword(s):  
Older Adults ◽  
Glycemic Status ◽  
Medicaid Coverage ◽  
The Relationship

Medicaid Coverage For Tobacco-Dependence Treatments

2001 ◽  
Vol 20 (1) ◽  
pp. 298-303 ◽  
Author(s):  
Helen Halpin Schauffler ◽  
Dianne C. Barker ◽  
C. Tracy Orleans
Keyword(s):  
Tobacco Dependence ◽  
Medicaid Coverage

scholarly journals Disparities in Stage at Diagnosis, Treatment, and Survival in Nonelderly Adult Patients With Cancer According to Insurance Status

2014 ◽  
Vol 32 (28) ◽  
pp. 3118-3125 ◽  
Author(s):  
Gary V. Walker ◽  
Stephen R. Grant ◽  
B. Ashleigh Guadagnolo ◽  
Karen E. Hoffman ◽  
Benjamin D. Smith ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Cox Regression ◽  
Insurance Coverage ◽  
Cox Proportional Hazards Model ◽  
Disease Stage ◽  
Insurance Status ◽  
Seer Database ◽  
Poverty Level ◽  
Medicaid Coverage ◽  
To Receive

Purpose The purpose of this study was to determine the association of insurance status with disease stage at presentation, treatment, and survival among the top 10 most deadly cancers using the SEER database. Patients and Methods A total of 473,722 patients age 18 to 64 years who were diagnosed with one of the 10 most deadly cancers in the SEER database from 2007 to 2010 were analyzed. A Cox proportional hazards model was used for multivariable analyses to assess the effect of patient and tumor characteristics on cause-specific death. Results Overall, patients with non-Medicaid insurance were less likely to present with distant disease (16.9%) than those with Medicaid coverage (29.1%) or without insurance coverage (34.7%; P < .001). Patients with non-Medicaid insurance were more likely to receive cancer-directed surgery and/or radiation therapy (79.6%) compared with those with Medicaid coverage (67.9%) or without insurance coverage (62.1%; P < .001). In a Cox regression that adjusted for age, race, sex, marital status, residence, percent of county below federal poverty level, site, stage, and receipt of cancer-directed surgery and/or radiation therapy, patients were more likely to die as a result of their disease if they had Medicaid coverage (hazard ratio [HR], 1.44; 95% CI, 1.41 to 1.47; P < .001) or no insurance (HR, 1.47; 95% CI, 1.42 to 1.51; P < .001) compared with non-Medicaid insurance. Conclusion Among patients with the 10 most deadly cancers, those with Medicaid coverage or without insurance were more likely to present with advanced disease, were less likely to receive cancer-directed surgery and/or radiation therapy, and experienced worse survival.

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