IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i10p3383-d357293.html
   My bibliography  Save this article

Bivariate Spatial Pattern between Smoking Prevalence and Lung Cancer Screening in US Counties

Author

Listed:
  • Bian Liu

    (Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
    Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

  • Jeremy Sze

    (Department of Population Health, Division of Health & Behavior, Section on Health Choice, Policy & Evaluation, New York University School of Medicine, New York, NY 10016, USA)

  • Lihua Li

    (Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

  • Katherine A. Ornstein

    (Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
    Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

  • Emanuela Taioli

    (Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
    Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

Abstract

Objectives: Lung cancer screening (LCS) with low-dose computed tomography (LDCT) has been a reimbursable preventive service covered by Medicare since 2015. Geographic disparities in the access to LDCT providers may contribute to the low uptake of LCS. We evaluated LDCT service availability for older adults in the United States (US) based on Medicare claims data and explored its ecological correlation with smoking prevalence. Materials and Methods: We identified providers who provided at least 11 LDCT services in 2016 using the Medicare Provider Utilization and Payment Data: Physician and Other Supplier Public Use File. We constructed a 30-mile Euclidian distance buffer around each provider’s location to estimate individual LDCT coverage areas. We then mapped the county-level density of LDCT providers and the county-level prevalence of current daily cigarette smoking in a bivariate choropleth map. Results: Approximately 1/5 of census tracts had no LDCT providers within 30 miles and 46% of counties had no LDCT services. At the county level, the median LDCT density was 0.5 (interquartile range (IQR): 0–5.3) providers per 1000 Medicare fee-for-service beneficiaries, and cigarette smoking prevalence was 17.5% (IQR: 15.2–19.8%). High LDCT service availability was most concentrated in the northeast US, revealing a misalignment with areas of high current smoking prevalence, which tended to be in the central and southern US. Conclusions: Our maps highlight areas in need for enhanced workforce and capacity building aimed at reducing disparities in the access and utilization of LDCT services among older adults in the US.

Suggested Citation

  • Bian Liu & Jeremy Sze & Lihua Li & Katherine A. Ornstein & Emanuela Taioli, 2020. "Bivariate Spatial Pattern between Smoking Prevalence and Lung Cancer Screening in US Counties," IJERPH, MDPI, vol. 17(10), pages 1-10, May.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3383-:d:357293
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/10/3383/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/10/3383/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:rre:publsh:v:37:y:2007:i:1:p:5-27 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaosheng Dong & Meng Ding & Wenxin Chen & Zongyu Liu & Xiangren Yi, 2020. "Relationship between Smoking, Physical Activity, Screen Time, and Quality of Life among Adolescents," IJERPH, MDPI, vol. 17(21), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3383-:d:357293. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.