Autor: |
Wallace, Nathan John, Palmer, William Jackson, Devaiah, Anand K. |
Předmět: |
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Zdroj: |
Journal of Neurological Surgery. Part B. Skull Base; Jun2023, Vol. 84 Issue 3, p248-254, 7p |
Abstrakt: |
Introduction Expanding access to care has been shown to impact patient care and disease epidemiology for different disease states, but has not been studied in pituitary adenoma. We hypothesize that increasing access to care—which includes diagnostics—through the Affordable Care Act (ACA) and Medicaid expansion has increased identification of pituitary adenomas. Methods The National Cancer Institute's Surveillance, Epidemiology, and End Results database was utilized to identify patients with pituitary adenomas from 2007–to 2016 yielding 39,120 cases. Demographic, histologic, and insurance data were extracted. After stratification based on their insurance status, they were plotted to examine trends in insurance status after introduction of the ACA and Medicaid expansion. Magnetic resonance imaging (MRI) data was gathered from the Organization for Economic Co-operation and Development. A linear regression model was developed to describe the relationship between pituitary adenoma discovery and the number of MRI exams. Results Pituitary adenoma diagnoses (37.6%) and MRI examinations per 1,000 in the U.S. (32.3%) increased concurrently from 2007 to 2016. Linear regression analysis revealed a statistically significant relationship (p = 0.0004). Those patients without insurance diagnosed with pituitary adenomas decreased 36.8% after Medicaid expansion (p = 0.023). With respect to Medicaid utilization, significant increases of 28.5% (p = 0.014) and 30.3% (p = 0.00096) were noted after both the ACA enactment and Medicaid expansion, respectively. Conclusion The ACA has expanded health care access which has increased the ability to identify patients with pituitary adenomas. The present study also provides evidence that access to care is important for less prevalent diseases such as pituitary adenomas. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
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