2023
DOI: 10.1001/jamahealthforum.2023.0673
|View full text |Cite
|
Sign up to set email alerts
|

Treatment Disparities in Radiation and Hormone Therapy Among Women Covered by Medicaid vs Private Insurance in Cancer Registry and Claims Data

Abstract: ImportancePrior research has reported undertreatment among patients with cancer who are insured by Medicaid, but this finding may be due, in part, to incomplete data in cancer registries.ObjectiveTo compare disparities in radiation and hormone therapy between women with breast cancer covered by Medicaid and those with private insurance using the Colorado Central Cancer Registry (CCCR) and CCCR data supplemented with All Payer Claims Data (APCD).Design, Setting, and ParticipantsThis observational cohort study i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 39 publications
(42 reference statements)
0
1
0
Order By: Relevance
“…The expansion of insurance mandates will ultimately necessitate obtaining a nuanced perspective of how cost, insurance coverage, and patient characteristics interact and affect FP utilization. Recent research underscores the value of integrating cancer registries with state-wide all-payer claim databases in synthesizing cancer patient and treatment characteristics with treatment costs [39,40]. By integrating claim databases, oncofertility studies can discover how cancer-related variables, including cancer type, treatment, and patient demographics, relate to FP-related variables, including procedures, consults, comorbidities, insurance type, and total cost.…”
Section: Utilization Based On Demographic Characteristicsmentioning
confidence: 99%
“…The expansion of insurance mandates will ultimately necessitate obtaining a nuanced perspective of how cost, insurance coverage, and patient characteristics interact and affect FP utilization. Recent research underscores the value of integrating cancer registries with state-wide all-payer claim databases in synthesizing cancer patient and treatment characteristics with treatment costs [39,40]. By integrating claim databases, oncofertility studies can discover how cancer-related variables, including cancer type, treatment, and patient demographics, relate to FP-related variables, including procedures, consults, comorbidities, insurance type, and total cost.…”
Section: Utilization Based On Demographic Characteristicsmentioning
confidence: 99%