ArticleCureus2025
Referral Conundrum: Wait Times for Subspecialists Versus Comprehensive Otolaryngologists in the United States.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTimely access to care is a critical indicator of system efficiency and equity. This study aimed to investigate potential differences in new patient wait times for otolaryngology care between neurotology and pediatric subspecialists compared with generalists for matched-case vignettes. Methods
resultsA total of 682 of 706 calls reached a representative (96.6%). The median physician age was 53 years. The median wait was 11.0 and 31.5 business days longer to see neurotologists or pediatric otolaryngologists (both p < 0.01) compared to generalists, respectively. Longer waiting times were also associated with physicians affiliated with universities (p < 0.001). Regional differences were also observed, with specific American Academy of Otolaryngology - Head and Neck Surgery (AAO-HNS) regions showing longer wait times. The pediatric and neurotology models both achieved conditional R-squared values of 0.97.
conclusionsThese findings indicate that subspecialty may significantly influence new appointment wait times, with pediatric otolaryngology patients experiencing the longest wait times. These differences in waiting times can have clinical and ethical implications for patient care, and future research should focus on optimizing care models to improve access to care.
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