Laryngoscope Investigative Otolaryngology (Feb 2022)

Analysis of socioeconomic factors in laryngology clinic utilization for treatment of dysphonia

  • Shane W. White,
  • Jonathan M. Bock,
  • Joel H. Blumin,
  • David R. Friedland,
  • Jazzmyne A. Adams,
  • Ling Tong,
  • Kristen Osinski,
  • Jake Luo

DOI
https://doi.org/10.1002/lio2.715
Journal volume & issue
Vol. 7, no. 1
pp. 202 – 209

Abstract

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Abstract Objective To evaluate the association between patient socioeconomic and demographic factors and tertiary care utilization for dysphonia in a localized metropolitan area of the American Midwest. Methods Multivariate regression analysis was used to correlate patient demographics and population level data (e.g., age, gender, race, insurance, median income, education level) with tertiary laryngology utilization for dysphonia care at our institution between 2000 and 2019. Initial analyses characterized tertiary laryngology utilization rates for all regional ZIP codes and correlated these data with census information for household income and education. Dysphonia patient demographics were compared among populations cared for in our entire academic Otolaryngology department, our health system, and the regional population. Results Among 1,365,021 patients in our health system, there were 7066 tertiary laryngology visits with a diagnosis of dysphonia. Dysphonia patients as compared to the overall health system were older (62.0 vs. 50.8 years), more likely to be female (63.7 vs. 50.2%) and more likely to have insurance (98.4 vs. 87.5%, all p < .001). Patient and population‐level factors including insurance status, education, and black race showed positive correlation with laryngology utilization while median income did not. Conclusions and Relevance Insurance status, education level, and race correlated with utilization of tertiary laryngology services for the evaluation of dysphonia in our community, while median income did not. Black patients utilized tertiary laryngology care at higher rates compared to departmental and regional population utilization data. These results underscore important demographic and disease‐specific factors that may affect utilization of subspecialty care in Otolaryngology. Level of Evidence IV

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