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Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging MRI
Published on: December 16, 2021
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Determining rural risk for aneurysmal subarachnoid hemorrhages: A structural equation modeling approach
Linda Jayne Nichols1, Seana Gall2, Christine Stirling2
1School of Health Sciences, Faculty of Health Science, University of Tasmania, Hobart Tasmania, Australia.
Journal of Neurosciences in Rural Practice
|October 4, 2016
Summary
Rurality significantly impacts outcomes after aneurysmal subarachnoid hemorrhage (aSAH). Further research is needed to understand the complex factors influencing aSAH severity in rural populations.
Area of Science:
- Neurology
- Public Health
- Health Disparities
Background:
- Aneurysmal subarachnoid hemorrhage (aSAH) is a leading cause of disability.
- The impact of rurality on aSAH outcomes is not well understood.
- Existing research on stroke and myocardial infarction suggests geographical disparities.
Approach:
- Developed a conceptual framework using structural equation modeling.
- Investigated relationships between rurality and aSAH outcome severity.
- Identified system, environmental, and modifiable risk factors.
Key Points:
- Limited data exists on rurality's direct link to aSAH severity.
- Socioeconomic factors, modifiable risks, and treatment timeliness are key predictors.
- The cumulative impact of rural risk factors remains unexplored.
Conclusions:
- Significant knowledge gaps exist regarding rurality and aSAH outcomes.
- A conceptual framework highlights individual and system-level predictors.
- Further research is needed to address the multiplicity of rural risk factors.
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