{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T17:04:06Z","timestamp":1761930246925,"version":"3.37.3"},"reference-count":17,"publisher":"Georg Thieme Verlag KG","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Neurol Surg B Skull Base"],"published-print":{"date-parts":[[2023,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Introduction\u2003Expanding 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\u2014which includes diagnostics\u2014through the Affordable Care Act (ACA) and Medicaid expansion has increased identification of pituitary adenomas.<\/jats:p><jats:p>\n          Methods\u2003The National Cancer Institute's Surveillance, Epidemiology, and End Results database was utilized to identify patients with pituitary adenomas from 2007\u2013to 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.<\/jats:p><jats:p>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.<\/jats:p><jats:p>\n          Results\u2003Pituitary 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\u2009=\u20090.0004). Those patients without insurance diagnosed with pituitary adenomas decreased 36.8% after Medicaid expansion (p\u2009=\u20090.023). With respect to Medicaid utilization, significant increases of 28.5% (p\u2009=\u20090.014) and 30.3% (p\u2009=\u20090.00096) were noted after both the ACA enactment and Medicaid expansion, respectively.<\/jats:p><jats:p>\n          Conclusion\u2003The 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.<\/jats:p>","DOI":"10.1055\/a-1808-1445","type":"journal-article","created":{"date-parts":[[2022,3,24]],"date-time":"2022-03-24T23:52:27Z","timestamp":1648165947000},"page":"248-254","source":"Crossref","is-referenced-by-count":1,"title":["Pituitary Adenomas as a Barometer for Health Care Access"],"prefix":"10.1055","volume":"84","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5954-0613","authenticated-orcid":false,"given":"Nathan John","family":"Wallace","sequence":"additional","affiliation":[{"name":"Boston University School of Medicine, Boston, Massachusetts, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William Jackson","family":"Palmer","sequence":"additional","affiliation":[{"name":"Boston University School of Medicine, Boston, Massachusetts, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4375-0421","authenticated-orcid":false,"given":"Anand K.","family":"Devaiah","sequence":"additional","affiliation":[{"name":"Departments of Otolaryngology, Neurological Surgery, and Ophthalmology, Boston University School of Medicine, Boston, Massachusetts, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2022,5,16]]},"reference":[{"issue":"04","key":"ref1","doi-asserted-by":"crossref","first-page":"C5","DOI":"10.1530\/ERC-17-0004","article-title":"From pituitary adenoma to pituitary neuroendocrine tumor (PitNET): an International Pituitary Pathology Club proposal","volume":"24","author":"S L Asa","year":"2017","journal-title":"Endocr Relat Cancer"},{"issue":"02","key":"ref2","doi-asserted-by":"crossref","first-page":"514","DOI":"10.3390\/cancers12020514","article-title":"How to classify the pituitary 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