OBJECTIVES: We tested the relationship between urban or rural residence as defined by rural-urban commuting area codes and risk of mortality in a sample of Medicare beneficiaries with lung cancer. METHODS: We used Surveillance, Epidemiology, and End Results data linked with Medicare claims to build proportional hazards models. The models tested hypothesized relationships between individual and community characteristics and overall survival for a cohort of Medicare beneficiaries 65 years and older who were diagnosed with lung cancer between 1995 and 1999 (N=26073). RESULTS: We found no evidence that lung cancer patients in rural areas have poorer survival than those in urban areas. Rather, individual (Medicaid coverage) and regional (lower census tract-level median income) socioeconomic factors and a smaller supply of subspecialists per 10000 individuals 65 years and older were positively associated with a higher risk of mortality. CONCLUSIONS: Although urban versus rural residence did not directly influence survival, rural residents were more likely to live in poorer areas with a smaller supply of health care providers. Therefore, we still need to be aware of rural beneficiaries' potential disadvantage when it comes to receiving needed care in a timely fashion.
OBJECTIVES: We tested the relationship between urban or rural residence as defined by rural-urban commuting area codes and risk of mortality in a sample of Medicare beneficiaries with lung cancer. METHODS: We used Surveillance, Epidemiology, and End Results data linked with Medicare claims to build proportional hazards models. The models tested hypothesized relationships between individual and community characteristics and overall survival for a cohort of Medicare beneficiaries 65 years and older who were diagnosed with lung cancer between 1995 and 1999 (N=26073). RESULTS: We found no evidence that lung cancerpatients in rural areas have poorer survival than those in urban areas. Rather, individual (Medicaid coverage) and regional (lower census tract-level median income) socioeconomic factors and a smaller supply of subspecialists per 10000 individuals 65 years and older were positively associated with a higher risk of mortality. CONCLUSIONS: Although urban versus rural residence did not directly influence survival, rural residents were more likely to live in poorer areas with a smaller supply of health care providers. Therefore, we still need to be aware of rural beneficiaries' potential disadvantage when it comes to receiving needed care in a timely fashion.
Authors: Ashley Meilleur; S V Subramanian; Jesse J Plascak; James L Fisher; Electra D Paskett; Elizabeth B Lamont Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-10 Impact factor: 4.254
Authors: Barent N McCool; Conrad P Lyford; Natalie Hensarling; Barbara Pence; Audrey C McCool; Janani Thapa; Eric Belasco; Tyra M Carter Journal: J Cancer Educ Date: 2013-09 Impact factor: 2.037
Authors: Mira L Katz; Paul L Reiter; Sandy Corbin; Janet S de Moor; Electra D Paskett; Charles L Shapiro Journal: J Cancer Surviv Date: 2010-01-23 Impact factor: 4.442
Authors: Ana P Martinez-Donate; Julie Halverson; Norma-Jean Simon; Jeanne Schaaf Strickland; Amy Trentham-Dietz; Paul D Smith; Rebecca Linskens; Xinyi Wang Journal: J Cancer Educ Date: 2013-09 Impact factor: 2.037