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Background: Colorectal cancer represents a significant cause of morbidity and mortality, particularly in Appalachia where high mortality from colorectal cancer is more prevalent. Adherence to treatment guidelines leads to improved survival. This paper examines determinants of guideline concordance for colorectal cancer., Methods: Colorectal cancer patients diagnosed in 2006-2008 from 4 cancer registries (Kentucky, Ohio, Pennsylvania, and North Carolina) were linked to Medicare claims (2005-2009). Final sample size after exclusions was 2,932 stage I-III colon, and 184 stage III rectal cancer patients. The 3 measures of guideline concordance include adjuvant chemotherapy (stage III colon cancer, <80 years), ≥12 lymph nodes assessed (resected stage I-III colon cancer), and radiation therapy (stage III rectal cancer, <80 years). Bivariate and multivariate analyses with clinical, sociodemographic, and service provider covariates were estimated for each of the measures., Results: Rates of chemotherapy, lymph node assessment, and radiation were 62.9%, 66.3%, and 56.0%, respectively. Older patients had lower rates of chemotherapy and radiation. Five comorbidities were significantly associated with lower concordance in the bivariate analyses: myocardial infarction, congestive heart failure, respiratory diseases, dementia with chemotherapy, and diabetes with adequate lymph node assessment. Patients treated by hospitals with no Commission on Cancer (COC) designation or lower surgical volumes had lower odds of adequate lymph node assessment., Conclusions: Clinical, sociodemographic, and service provider characteristics are significant determinants of the variation in guideline concordance rates of 3 colorectal cancer measures., (© 2013 National Rural Health Association.)

Objective: To model the relationship of an area-based measure of a breast cancer screening and geographic area deprivation on the incidence of later stage breast cancer (LSBC) across a diverse region of Appalachia., Data Source: Central cancer registry data (2006-2008) from three Appalachian states were linked to Medicare claims and census data., Study Design: Exploratory spatial analysis preceded the statistical model based on negative binomial regression to model predictors and effect modification by geographic subregions., Principal Findings: Exploratory spatial analysis revealed geographically varying effects of area deprivation and screening on LSBC. In the negative binomial regression model, predictors of LSBC included receipt of screening, area deprivation, supply of mammography centers, and female population aged>75 years. The most deprived counties had a 3.31 times greater rate of LSBC compared to the least deprived. Effect of screening on LSBC was significantly stronger in northern Appalachia than elsewhere in the study region, found mostly for high-population counties., Conclusions: Breast cancer screening and area deprivation are strongly associated with disparity in LBSC in Appalachia. The presence of geographically varying predictors of later stage tumors in Appalachia suggests the importance of place-based health care access and risk., (© Health Research and Educational Trust.)

Breast cancer death rates in the U.S. have decreased in recent decades, however areas such as Appalachia with fewer cancer care resources may not have experienced comparable mortality declines. This study examines trends in breast cancer mortality rate disparities in Appalachian states and the continental U.S. using data from SEER mortality files 1969-2007 and the Area Resource File. Overall breast cancer mortality rates decreased significantly, with a smaller decline in Appalachian counties (17.5%) compared with non-Appalachian counties in Appalachian states (30.5%), and compared with non-Appalachia U.S. counties (28.3%). After accounting for poverty, rural/urban status, education, health care resources, and proportion White in the population, residence in Appalachian counties except for those in the Northern subregion was significantly associated with smaller reduction in breast cancer mortality rates. Lower levels of education, physician density, and percent White in the population were also associated with smaller reductions in breast cancer mortality.

Purpose: Appalachian counties have historically had elevated infant mortality rates. Changes in infant mortality disparities over time in Appalachia are not well-understood. This study explores spatial inequalities in white infant mortality rates over time in the 13 Appalachian states, comparing counties in Appalachia with non-Appalachian counties., Methods: Data are analyzed for 1,100 counties in 13 Appalachian states that include 420 counties designated as Appalachian by the Appalachian Regional Commission. Area Resource File data for 1976-1980 and 1996-2000 provide county- and city-level infant mortality rates, poverty rates, rural-urban continuum codes, and numbers of physicians per 1,000 residents. Multiple regression analyses evaluate whether Appalachian counties are significantly associated with elevated white infant mortality in each time period, accounting for covariates., Findings: White infant mortality rates decreased substantially in all sub-regions over the last 2 decades; however, disparities in infant mortality did not diminish in Appalachian counties compared to non-Appalachian counties. After accounting for poverty, rural/urban status, and health care resources, Appalachian counties were significantly associated with comparatively higher infant mortality during the late 1970s but not in the late 1990s. At the more recent time point, higher poverty rates, residence in more rural areas, and lower physician density were associated with greater infant mortality risk., Conclusion: Appalachian counties continue to experience relatively elevated infant mortality rates. Poverty and rurality remain important dimensions of health service need in Appalachia., (© 2011 National Rural Health Association.)