BACKGROUND-Little is known about the contribution of older patients' complexity of care needs (COCN) to unstaged cancer, or incomplete evaluation of the extent of disease. We aimed at examining the association between the patients' COCN at baseline and unstaged cancer.

Abstract:The prevalence of obesity has increased dramatically in recent decades. It is an important public health issue as it causes many other chronic health conditions, such as hypertension, cardiovascular diseases, and type II diabetics. Obesity affects life expectancy and even the quality of lives. Eventually, it increases social costs in many ways due to increasing costs of health care and workplace absenteeism. Using the spatial patterns of obesity prevalence as an example; we show how different geographic units can reveal different degrees of detail in results of analysis. We used both census tracts and census block groups as units of geographic analysis. In addition; to reveal how different geographic scales may impact on the analytic results; we applied geographically weighted regression to model the relationships between obesity rates (dependent variable) and three independent variables; including education attainment; unemployment rates; and median OPEN ACCESS ISPRS Int. J. Geo-Inf. 2014, 3 1199 family income. Though not including an exhaustive list of explanatory variables; this regression model provides an example for revealing the impacts of geographic scales on analysis of health data. With obesity data based on reported heights and weights on driver's licenses in Summit County, Ohio, we demonstrated that geographically weighted regression reveals varying spatial trends between dependent and independent variables that conventional regression models such as ordinary least squares regression cannot. Most importantly, analyses carried out with different geographic scales do show very different results. With these findings, we suggest that, while possible, smaller geographic units be used to allow better understanding of the studies phenomena.

Findings from this study, pointing to the vulnerability of population subgroups to certain mechanisms of injury, can be used to formulate targeted prevention strategies.

The findings show no benefit associated with Medicaid as SHIP. Rather, they indicate that for the most part, cancer stage is comparable between Duals/SHIP and LI/nonduals.