Understanding Washington State’s Low Uptake of Lung Cancer Screening in Two Steps: A Geospatial Analysis of Patient Travel Time and Health Care Availability of Imaging Sites

Abstract

BackgroundEarly detection of lung cancer reduces cancer mortality; yet uptake for lung cancer screening (LCS) has been limited in Washington State. Geographic disparities contribute to low uptake, but do not wholly explain gaps in access for underserved populations. Other factors, such as an adequate workforce to meet population demand and the capacity of accredited screening facility sites must also be considered. Research QuestionWhat proportion of the eligible population for LCS have access to LCS facilities in Washington State? Study Design and MethodsWe used the enhanced two-step floating catchment (E2SFCA) model to evaluate how geographic accessibility in addition to availability of LCS imaging centers contribute to disparities. We used available data on radiologic technologist volume at each American College of Radiology (ACR) accredited screening facility site to estimate each site’s capacity to meet potential population demand. Spearman rank correlation coefficients of the spatial access ratios (SPARs) were compared with the 2010 Rural-Urban Commuting Area (RUCA) codes and Area Deprivation Index (ADI) quintiles to identify characteristics of populations at risk for lung cancer with greater and lesser levels of access. ResultsA total of 549 radiologic technologists were identified across the 95 ACR accredited screening facilities. We observed that 95% of the eligible population had proximate geographic access to any ACR facility. However, when we incorporated the E2SFCA method, we found significant variation of access for eligible populations. The inclusion of the availability measure attenuated access for most of the eligible population. Furthermore, we observed that rural areas were substantially correlated and areas with greater socioeconomic disadvantage were modestly correlated with lower access. InterpretationRural and socioeconomically disadvantaged areas face significant disparities. The E2SFCA models demonstrated that capacity is an important component and how geographic access and availability jointly contribute to disparities in access to LCS.