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Insurance Status and Access to Otolaryngology Care: National Mystery Caller Study in the United States
Michaele Francesco Corbisiero1, Tyler M Muffly2, Drew C Gottman1
1University of Colorado School of Medicine, Aurora, Colorado, USA.
Objective:
To investigate potential differences in new patient appointment wait times for otolaryngology care based on insurance types and explore factors influencing these wait times.
Study Design:
A cross-sectional audit study, using a "mystery caller" approach, analyzed with a linear mixed Poisson model to adjust for confounding factors.
Setting:
A total of 612 physicians across 49 states and the District of Columbia, representing 6 otolaryngology subspecialties, were included.
Methods:
Otolaryngology physicians were contacted by mystery callers via telephone with scripted clinical vignettes as patients with either Medicaid or Blue Cross/Blue Shield (BCBS) insurance. Callers requested next available appointment. Wait times for new patient appointments were recorded and analyzed in R using a generalized linear mixed Poisson model.
Results:
A total of 1183 of 1224 calls reached a representative. Medicaid patients waited 5.73% longer (P < .001) compared to BCBS patients (IRR: 1.06; confidence interval [CI]: 1.03-1.09; P < .001), with respective mean wait times of 36.8 days (SE ± 1.6) and 32.4 days (SE ± 1.6). Longer waiting times were also associated with physicians affiliated with universities (P = .001) and certain subspecialties, such as pediatric otolaryngology (P < .001) and neurotology (P = .008). Regional differences were also observed, with specific AAO-HNS regions showing shorter wait times. The model achieved a conditional R-squared value of 0.947.
Conclusion:
This study reveals disparities in wait times for otolaryngology care based on insurance type, with extended wait times for Medicaid beneficiaries. The findings highlight a potential access to care disparity, which begets the need for strategies that ensure equitable access to otolaryngology care and further research to understand the underlying reasons for these potential disparities.
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