IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2409.06026.html
   My bibliography  Save this paper

Patterns of Medical Care Cost by Service Type Associated with Lung Cancer Screening

Author

Listed:
  • Kris Wain
  • Mahesh Maiyani
  • Nikki M. Carroll
  • Rafael Meza
  • Robert T. Greenlee
  • Christine Neslund-Dudas
  • Michelle R. Odelberg
  • Caryn Oshiro
  • Debra P. Ritzwoller

Abstract

Introduction: Lung cancer screening (LCS) increases early-stage cancer detection which may reduce cancer treatment costs. Little is known about how receipt of LCS affects healthcare costs in real-world clinical settings. Methods: This retrospective study analyzed utilization and cost data from the Population-based Research to Optimize the Screening Process Lung Consortium. We included individuals who met age and smoking LCS eligibility criteria and were engaged within four healthcare systems between February 5, 2015, and December 31, 2021. Generalized linear models estimated healthcare costs from the payer perspective during 12-months prior and 12-months post baseline LCS. We compared these costs to eligible individuals who did not receive LCS. Sensitivity analyses expanded our sample to age-eligible individuals with any smoking history noted in the electronic health record. Secondary analyses examined costs among a sample diagnosed with lung cancer. We reported mean predicted costs with average values for all other explanatory variables. Results: We identified 10,049 eligible individuals who received baseline LCS and 15,233 who did not receive baseline LCS. Receipt of baseline LCS was associated with additional costs of $3,698 compared to individuals not receiving LCS. Secondary analyses showed suggestive evidence that LCS prior to cancer diagnosis decreased healthcare costs compared to cancer diagnosed without screening. Conclusion: These findings suggest LCS increases healthcare costs in the year following screening. However, LCS also improves early-stage cancer detection and may reduce treatment costs following diagnosis. These results can inform future simulation models to guide LCS recommendations, and aid health policy decision makers on resource allocation.

Suggested Citation

  • Kris Wain & Mahesh Maiyani & Nikki M. Carroll & Rafael Meza & Robert T. Greenlee & Christine Neslund-Dudas & Michelle R. Odelberg & Caryn Oshiro & Debra P. Ritzwoller, 2024. "Patterns of Medical Care Cost by Service Type Associated with Lung Cancer Screening," Papers 2409.06026, arXiv.org.
  • Handle: RePEc:arx:papers:2409.06026
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2409.06026
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:arx:papers:2409.06026. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.