{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Davis ES"],"funding":["NCI NIH HHS"],"pagination":["268-271"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10902199"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["40(2)"],"pubmed_abstract":["<h4>Objective</h4>To assess urban-rural differences in cancer mortality across definitions of rurality as (1) established binary cut-points, (2) data-driven binary cut-points, and (3) continuous.<h4>Methods</h4>We used Surveillance, Epidemiology, and End Results (SEER) data between 2000 and 2016 to identify incident adult screening-related cancers. Analyses were based on one testing and four validation cohorts (all n = 26,587). Urban-rural status was defined by Rural-Urban Continuum Codes, National Center for Health Statistics codes, and the Index of Relative Rurality. Each was modeled using established binary cut-points, data-driven cut-points, and as continuous. The primary outcome was 5-year cancer-specific mortality.<h4>Results</h4>Compared to established cut-points, data-driven cut-points classified more patients as rural, resulted in larger White populations in rural areas, and yielded 7%-14% lower estimates of urban-rural differences in cancer mortality. Further, hazard of cancer mortality increased 4%-67% with continuous rurality measures, revealing important between-unit differences.<h4>Conclusions</h4>Different cut-points introduce variation in urban-rural differences in mortality across definitions, whereas using urban-rural measures as continuous allows rurality to be conceptualized as a continuum, rather than a simple aggregation.<h4>Policy implications</h4>Findings provide alternative cut-points for multiple measures of rurality and support the consideration of utilizing continuous measures of rurality in order to guide future research and policymakers."],"journal":["The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association"],"pubmed_title":["Urban-rural differences in cancer mortality: Operationalizing rurality."],"pmcid":["PMC10902199"],"funding_grant_id":["R37 CA266193"],"pubmed_authors":["Franks JA","Kenzik KM","Bhatia S","Davis ES"],"additional_accession":[]},"is_claimable":false,"name":"Urban-rural differences in cancer mortality: Operationalizing rurality.","description":"<h4>Objective</h4>To assess urban-rural differences in cancer mortality across definitions of rurality as (1) established binary cut-points, (2) data-driven binary cut-points, and (3) continuous.<h4>Methods</h4>We used Surveillance, Epidemiology, and End Results (SEER) data between 2000 and 2016 to identify incident adult screening-related cancers. Analyses were based on one testing and four validation cohorts (all n = 26,587). Urban-rural status was defined by Rural-Urban Continuum Codes, National Center for Health Statistics codes, and the Index of Relative Rurality. Each was modeled using established binary cut-points, data-driven cut-points, and as continuous. The primary outcome was 5-year cancer-specific mortality.<h4>Results</h4>Compared to established cut-points, data-driven cut-points classified more patients as rural, resulted in larger White populations in rural areas, and yielded 7%-14% lower estimates of urban-rural differences in cancer mortality. Further, hazard of cancer mortality increased 4%-67% with continuous rurality measures, revealing important between-unit differences.<h4>Conclusions</h4>Different cut-points introduce variation in urban-rural differences in mortality across definitions, whereas using urban-rural measures as continuous allows rurality to be conceptualized as a continuum, rather than a simple aggregation.<h4>Policy implications</h4>Findings provide alternative cut-points for multiple measures of rurality and support the consideration of utilizing continuous measures of rurality in order to guide future research and policymakers.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2025-04-04T00:48:15.402Z","creation":"2025-04-04T00:48:15.402Z"},"accession":"S-EPMC10902199","cross_references":{"pubmed":["37644650"],"doi":["10.1111/jrh.12792"]}}