Use of Veterans Health Administration Structured Data to Identify Patients Eligible for Lung Cancer Screening.

Gundle K, Hooker ER, Golden SE, Shull S, Crothers K, Melzer AC, Slatore CG. Use of Veterans Health Administration Structured Data to Identify Patients Eligible for Lung Cancer Screening. Military medicine. 2023 Jul 22; 188(7-8):e2419-e2423.

Related HSR&D Project(s)

• IIR 19-425 – Teachable Moment to Opt-out of Tobacco (TeaM OUT): A Stepped Wedge Cluster Randomized Intervention

Dimensions for VA is a web-based tool available to VA staff that enables detailed searches of published research and research projects.

If you have VA-Intranet access, click here for more information vaww.hsrd.research.va.gov/dimensions/

VA staff not currently on the VA network can access Dimensions by registering for an account using their VA email address.    Search Dimensions for VA for this citation
* Don't have VA-internal network access or a VA email address? Try searching the free-to-the-public version of Dimensions

Search for Abstract from PubMed

---

Abstract:

INTRODUCTION: Lung cancer screening (LCS) uptake is low. Assessing patients'' cigarette pack-years and years since quitting is challenging given the lack of documentation in structured electronic health record data. MATERIALS AND METHODS: We used a convenience sample of patients with a chest CT scan in the Veterans Health Administration. We abstracted data on cigarette use from electronic health record notes to determine LCS eligibility based on the 2021 U.S. Preventive Services Task Force age and cigarette use eligibility criteria. We used these data as the "ground truth" of LCS eligibility to compare them with structured data regarding tobacco use and a COPD diagnosis. We calculated sensitivity and specificity as well as fast-and-frugal decision trees. RESULTS: For 50-80-year-old veterans identified as former or current tobacco users, we obtained 94% sensitivity and 47% specificity. For 50-80-year-old veterans identified as current tobacco users, we obtained 59% sensitivity and 79% specificity. Our fast-and-frugal decision tree that included a COPD diagnosis had a sensitivity of 69% and a specificity of 60%. CONCLUSION: These results can help health care systems make their LCS outreach efforts more efficient and give administrators and researchers a simple method to estimate their number of possibly eligible patients.