Abstract
Stroke is the leading cause of disability in the US, costing $34 billion a year and affecting 800,000 patients. Early detection and treatment is the best way to improve outcomes. Yet, 12.5% of strokes are discharged from the ED within the prior 30 days, with headache the most common diagnosis. Neuroimaging, ideally, would catch an impending stroke, but head CT has variable sensitivity based on onset of symptoms and there are both Federal and provider-led (including Choosing Wisely and the American College of Radiology Appropriateness Criteria (ACR-AC) initiatives to reduce overuse of imaging.
This study examined variation in ED treatment for patients presenting with a headache, particularly focusing on use of neuroimaging. Potential missed strokes were identified to determine if CT or MRI could have captured stroke.
Sigma Membership
Phi at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Observational
Research Approach
Mixed/Multi Method Research
Keywords:
Neuroimaging, Strokes, Headaches, Head CTs, Imaging Overuse Reduction
Advisor
Meg Johatgen
Second Advisor
Shijun Zhu
Degree
PhD
Degree Grantor
University of Maryland, Baltimore
Degree Year
2018
Recommended Citation
Heetderks-Fong, Elizabeth C., "Neuroimaging in headache patients: The sensitivity of computerized tomography (CT) in missed stroke diagnosis" (2021). Dissertations. 181.
https://www.sigmarepository.org/dissertations/181
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2021-10-05
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 10792114; ProQuest document ID: 2056823419. The author still retains copyright.