Spatial accessibility for deploying mobile lung cancer screenings in a rural state using two-step floating catchment spatial analysis in Oklahoma, United States 2025.

Janis E Campbell, Ayesha B Sambo, Nubwa St James, Kelly Willingham, Hayley Warren, Jerson Penaflor, Mark P Doescher

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Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Janis E CampbellDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104, USA.

Ayesha B SamboStephenson Cancer Center, University of Oklahoma Health Sciences Center, 800 NE 10th Street, Oklahoma City, OK, 73104, USA.

Nubwa St JamesDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, OK 73104, USA.

Kelly WillinghamOklahoma Hospital Association, 4000 Lincoln Blvd., Oklahoma City, OK 73105, USA.

Hayley WarrenOklahoma Hospital Association, 4000 Lincoln Blvd., Oklahoma City, OK 73105, USA.

Jerson PenaflorOklahoma Hospital Association, 4000 Lincoln Blvd., Oklahoma City, OK 73105, USA.

Mark P DoescherStephenson Cancer Center, University of Oklahoma Health Sciences Center, 800 NE 10th Street, Oklahoma City, OK, 73104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Lung cancer remains the leading cause of cancer death in the United States. Mobile screening units have reduced access barriers. To assess lung cancer screening spatial access, we utilized a two-step floating catchment analysis (2SFCA) and an enhanced two-step floating catchment analysis (E2SFCA) to identify areas for mobile screening deployment. Methods: A spatial analysis was conducted using 2019-2023 census block group population data (ages 50-80) and a validated list of 165 lung cancer screening facilities in Oklahoma collected between December 2024 - May 2025, United States. Block groups were categorized into four spatial access groups. Analyses incorporated rural-urban continuum area codes. The 2SFCA used 30-min drive-time catchments, while the E2SFCA applied gravity-weighted 10-, 20-, and 30-min catchments. Results: Across both methods, 41 % of eligible Oklahomans resided in low or no spatial access areas, covering over 60 % of the state's land. Small rural areas had the highest proportion of residents (up to 67 %) with limited or no spatial access. Urban areas showed better spatial access, but up to 19 % of eligible residents still lacked 30-min access. Conclusions: Large sections of Oklahoma, particularly rural, lack spatial access to lung cancer screening. The 2SFCA and E2SFCA methods effectively identified underserved regions.

Indexed as

GeospatialHealth disparitiesLung cancer screeningRuralUrban

Identifiers

PMID41278614

DOI10.1016/j.pmedr.2025.103290

PMCPMC12634833

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