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dc.contributor.authorJayasekera, Jinani
dc.contributor.authorOnukwugha, Eberechukwu
dc.contributor.authorHarrington, Donna
dc.contributor.authorNaslund, Michael
dc.creatorJayasekera, J.
dc.date.accessioned2019-07-31T15:09:15Z
dc.date.available2019-07-31T15:09:15Z
dc.date.issued2019-05-14
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068085271&origin=inward
dc.identifier.urihttp://hdl.handle.net/10713/10139
dc.description.abstractIn this study, we examined the effects of individual-level and area-level characteristics on advanced prostate cancer diagnosis among Medicare eligible older men (ages 70+ years). We analyzed patients from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2000-2007) linked to US Census and County Business Patterns data. Cluster-adjusted logistic regression models were used to quantify the effects of individual preventive health behavior, clinical and demographic characteristics, area-level health services supply, and socioeconomic characteristics on stage at diagnosis. The fully adjusted model was used to estimate county-specific effects and predicted probabilities of advanced prostate cancer. In the adjusted analyses, low intensity of annual prostate-specific antigen (PSA) testing and other preventive health behavior, high comorbidity, African American race, and lower county socioeconomic and health services supply characteristics were statistically significantly associated with a higher likelihood of distant prostate cancer diagnosis. The fully adjusted predicted proportions of advanced prostate cancer diagnosis across 158 counties ranged from 3% to 15% (mean: 6%, SD: 7%). County-level socioeconomic and health services supply characteristics, individual-level preventive health behavior, demographic and clinical characteristics are determinants of advanced stage prostate cancer diagnosis among older Medicare beneficiaries; other health care-related factors such as family history, lifestyle choices, and health-seeking behavior should also be considered as explanatory factors. © The Author(s) 2019.en_US
dc.description.sponsorshipthis study was supported by the California Department of Public Health as part of the state-wide cancer reporting program mandated by California Health and Safety Code Section 103885; the National Cancer Institute’ s Surveillance, Epidemiology and End Results Program under contract N01-PC-35136, contract N01-PC-35139 and the Centers for Disease Control and Prevention’ s National Program of Cancer Registries, under agreement #U55/CCR921930-02.en_US
dc.description.urihttps://doi.org/10.1177/1179554919855116en_US
dc.language.isoen_USen_US
dc.publisherSAGE Publications Inc.en_US
dc.relation.ispartofClinical Medicine Insights: Oncologyen_US
dc.subjectgeographic disparitiesen_US
dc.subjecthealth services supply indexen_US
dc.subjectprostate cancer screeningen_US
dc.subjectsocioeconomic status indexen_US
dc.subjectstage at diagnosisen_US
dc.titleEpidemiological Determinants of Advanced Prostate Cancer in Elderly Men in the United Statesen_US
dc.typeArticleen_US
dc.identifier.doi10.1177/1179554919855116
dc.relation.volume13


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