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        <datestamp>2026-09-23T04:42:43Z</datestamp>
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          <dc:title>Table 1_Geospatial analysis of hearing-related services utilization among Medicare beneficiaries, 2017–2021.docx</dc:title>
          <dc:creator>Jeffrey Li (2573977)</dc:creator>
          <dc:creator>Vinay Veluvolu (25094038)</dc:creator>
          <dc:creator>Mark Nyaeme (16259861)</dc:creator>
          <dc:creator>Mitchell Heuermann (25094041)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>audiology</dc:subject>
          <dc:subject>disparities</dc:subject>
          <dc:subject>geospatial analysis</dc:subject>
          <dc:subject>health services research</dc:subject>
          <dc:subject>hearing-care access</dc:subject>
          <dc:subject>Medicare</dc:subject>
          <dc:subject>Moran's I</dc:subject>
          <dc:subject>otolaryngology</dc:subject>
          <dc:description>Background&lt;p&gt;Approximately 30 million Americans report hearing loss, yet hearing-aid uptake remains low, and access to audiology and otolaryngology services varies markedly across the United States. Geographic patterns of Medicare billed hearing-related services have not been systematically characterized at the county level, and the socioeconomic correlates of utilization clusters remain underexplored.&lt;/p&gt;Methods&lt;p&gt;A retrospective cross-sectional ecological analysis was performed on publicly available 2017–2021 county-level data from the Centers for Medicare &amp; Medicaid Services Physician, the US Census Bureau American Community Survey, and the USDA Economic Research Service. Hearing-related procedures were identified using American Speech Language Hearing Association classified Healthcare Common Procedure Coding System. Spatial autocorrelation of county level total service volume was assessed using global Moran's I and Local Indicators of Spatial Association computed in PySAL (α = 0.05), classifying each county as high–high, low–low, high–low, or low–high; based on the county's value relative to the national mean and its neighbors' average. The four cluster groupings were compared across 50 socioeconomic variables using one-way ANOVA. Per-capita utilization, used for descriptive mapping, was calculated using total county population from the American Community Survey; the rationale and implications of this denominator choice are detailed in the Methods.&lt;/p&gt;Results&lt;p&gt;1,340 contiguous-US counties, with Medicare billing activity, were included in the spatial analysis (290.7 million residents). Over 5 years, 15,136,056 hearing-related procedures were billed at a total Medicare payment of $428.3 million (Global Moran's I = 0.49, p &lt; 0.01). Sixty-eight counties were classified as hot-spot clusters. Concentrated in Southern California, Florida, Texas, and the Mid-Atlantic and encompassing 75.5 million residents, 4.9 million procedures, and $159.0 million in spending. One hundred twenty-five counties were classified as cold-spot clusters, primarily across the Midwest and Deep South, encompassing 5.2 million residents, 316,177 procedures, and $7.3 million in spending. Cold spots had substantially higher poverty rates (14.7% vs. 11.3%), lower median household incomes ($56,239 vs. $86,972), and lower educational attainment than hot spots; hot spots showed greater racial and ethnic diversity.&lt;/p&gt;Conclusion&lt;p&gt;Hearing-related Medicare service utilization exhibits substantial geographic clustering, with rural and economically disadvantaged regions showing systematic underutilization. These findings priority regions for workforce expansion and policy intervention.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-23T04:42:43Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fauot.2026.1885939.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Table_1_Geospatial_analysis_of_hearing-related_services_utilization_among_Medicare_beneficiaries_2017_2021_docx/33970450</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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