Premium
Rural‐Urban Disparities in Pancreatic Cancer Stage of Diagnosis: Understanding the Interaction With Medically Underserved Areas
Author(s) -
Segel Joel E.,
Hollenbeak Christopher S.,
Gusani Niraj J.
Publication year - 2020
Publication title -
the journal of rural health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.439
H-Index - 57
eISSN - 1748-0361
pISSN - 0890-765X
DOI - 10.1111/jrh.12498
Subject(s) - rurality , medicine , residence , rural area , stage (stratigraphy) , pancreatic cancer , population , logistic regression , cancer registry , demography , cancer , environmental health , pathology , paleontology , sociology , biology
Purpose To estimate differences in pancreatic cancer diagnosis stage by rurality of patient residence and residence in a medically underserved area (MUA). Methods Using 2010‐2016 Pennsylvania Cancer Registry data, we restrict our analysis to adults diagnosed with pancreatic cancer. We categorize each patient's residence by Rural‐Urban Continuum Codes (RUCC): (1) metro; (2) nonmetro adjacent with population ≥20,000; (3) nonmetro adjacent with population <20,000; (4) nonmetro nonadjacent, and (5) completely rural; also by whether the county was a full MUA, partial MUA, or non‐MUA. We examine the percent of patients diagnosed with local and locoregional stage of disease for each residential rurality and MUA status grouping. We estimate multivariate linear probability models of local and locoregional stage of diagnosis while controlling for demographics, insurance type, year, rurality, and MUA status. Finally, we estimate models interacting rurality with MUA status to disentangle the relative impact of each on diagnostic stage. Findings We find that no pancreatic patients living in completely rural areas were diagnosed at the local stage, the lowest of all categories of rurality. In adjusted models, we find that patients living in completely rural areas have significantly lower rates of local and local/regional stage of diagnosis. The estimates are attenuated slightly when controlling for MUA. Conclusions We find significantly lower rates of early stage pancreatic cancer diagnosis for patients living in completely rural areas. While lack of primary medical care resources is an important factor, rural residence remains an important independent predictor in later stage of diagnosis.