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Introduction <p>This study investigates the impact of geographic and socioeconomic barriers on access to transcatheter aortic valve replacement (TAVR).</p> Methods <p>Utilizing Medicare data from the US Centers for Medicare and Medicaid Services, this study analyzed TAVR and surgical aortic valve replacement (SAVR) procedures among beneficiaries from 2017 to 2022. Geographic units were defined by 5-digit zip codes, categorized on the basis of TAVR/SAVR volume into four categories: (1) no TAVR or SAVR, (2) no-TAVR zone (SAVR present, no TAVR), (3) low-TAVR zone (TAVR/SAVR ratio ≤ 0.5), and (4) TAVR accessible (TAVR/SAVR ratio &gt; 0.5). The differential distance index (DDI) was developed to measure travel hurdles, calculated as the difference in miles from a patient’s zip code center to the treatment hospital (TAVR versus SAVR, CABG (coronary artery bypass grafting), and PCI (percutaneous coronary intervention) comparators). This study maintained a continuous access variable to model outcomes such as the ratio or volume of TAVR/SAVR and the percentage share of TAVR/AVR within each zip code over biennial periods (2017–2018, 2019–2020, 2021–2022). Covariates in the model included population density, area deprivation index (ADI), and calendar time, with an exploration of the interaction between DDI and ADI.</p> Results <p>The analysis revealed significant geographic disparities in TAVR access across the USA, with no-TAVR zone and low-TAVR zone areas often featuring lower population densities, higher ADIs, and more rural settings. Increased travel distance (DDI) significantly correlated with lower TAVR utilization, emphasizing distance as a critical barrier. Furthermore, both ADI and DDI emerged as significant predictors of TAVR volume and share, underlining the compound effect of socioeconomic status and geographic distance on healthcare access.</p> Conclusions <p>This study highlights the critical role of geographic and socioeconomic barriers in accessing advanced medical treatments like TAVR. Addressing these barriers may ensure equitable healthcare distribution, guiding policymakers and providers towards more accessible healthcare solutions for all populations.</p>

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No-Transcatheter Aortic Valve Replacement (TAVR) Zones and Their Effect on Access to Care for Medicare Beneficiaries with Aortic Stenosis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月13日

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  • Guy David,
  • Andrew J. Epstein,
  • Jay Giri,
  • Ashwin Nathan,
  • Soumya G. Chikermane,
  • Michael Ryan,
  • Christin Thompson,
  • Seth Clancy,
  • Candace Gunnarsson

摘要

Introduction

This study investigates the impact of geographic and socioeconomic barriers on access to transcatheter aortic valve replacement (TAVR).

Methods

Utilizing Medicare data from the US Centers for Medicare and Medicaid Services, this study analyzed TAVR and surgical aortic valve replacement (SAVR) procedures among beneficiaries from 2017 to 2022. Geographic units were defined by 5-digit zip codes, categorized on the basis of TAVR/SAVR volume into four categories: (1) no TAVR or SAVR, (2) no-TAVR zone (SAVR present, no TAVR), (3) low-TAVR zone (TAVR/SAVR ratio ≤ 0.5), and (4) TAVR accessible (TAVR/SAVR ratio > 0.5). The differential distance index (DDI) was developed to measure travel hurdles, calculated as the difference in miles from a patient’s zip code center to the treatment hospital (TAVR versus SAVR, CABG (coronary artery bypass grafting), and PCI (percutaneous coronary intervention) comparators). This study maintained a continuous access variable to model outcomes such as the ratio or volume of TAVR/SAVR and the percentage share of TAVR/AVR within each zip code over biennial periods (2017–2018, 2019–2020, 2021–2022). Covariates in the model included population density, area deprivation index (ADI), and calendar time, with an exploration of the interaction between DDI and ADI.

Results

The analysis revealed significant geographic disparities in TAVR access across the USA, with no-TAVR zone and low-TAVR zone areas often featuring lower population densities, higher ADIs, and more rural settings. Increased travel distance (DDI) significantly correlated with lower TAVR utilization, emphasizing distance as a critical barrier. Furthermore, both ADI and DDI emerged as significant predictors of TAVR volume and share, underlining the compound effect of socioeconomic status and geographic distance on healthcare access.

Conclusions

This study highlights the critical role of geographic and socioeconomic barriers in accessing advanced medical treatments like TAVR. Addressing these barriers may ensure equitable healthcare distribution, guiding policymakers and providers towards more accessible healthcare solutions for all populations.