Otolaryngology Care Disparities in American Indian Populations.
Alan W WangEvan A PatelNina PatelTrevor A PoulsonAshok A JagasiaPublished in: OTO open (2024)
Our objectives were to quantify geographical disparities in otolaryngology care access with respect to American Indian (AI) populations and to identify gaps in care. Although increased incidence and mortality rates of ear, nose, and throat (ENT) conditions in AI populations are well documented, few studies address factors contributing to these differential outcomes. We conducted a cross-sectional study of US states with AI areas that either met the population threshold for the American Community Survey annual estimate or annual supplemental estimate. A 2-tailed t test was used to compare the geographic distribution of ENT providers practicing within AI areas against non-AI areas, showing a statistically significant difference ( P < .001) in the concentration of providers (0.409 vs 2.233 providers per 100,000 patients). To our knowledge, this is the first study to explore geographic barriers contributing to AI disparities within otolaryngology.
Keyphrases
- artificial intelligence
- healthcare
- affordable care act
- palliative care
- quality improvement
- machine learning
- end stage renal disease
- risk factors
- health insurance
- ejection fraction
- pain management
- deep learning
- newly diagnosed
- chronic kidney disease
- mental health
- cardiovascular events
- chronic pain
- tyrosine kinase
- cross sectional
- cardiovascular disease
- patient reported outcomes
- case control