Regional Variation in Quality of Prostate Cancer Care Florian R. Schroeck, Samuel R. Kaufman, Bruce L. Jacobs, Ted A. Skolarus, John M. Hollingsworth, Vahakn B. Shahinian, Brent K. Hollenbeck  The Journal of Urology  Volume 191, Issue 4, Pages 957-963 (April 2014) DOI: 10.1016/j.juro.2013.10.066 Copyright © 2014 American Urological Association Education and Research, Inc. Terms and Conditions

Figure 1 Variation in quality of prostate cancer care across 661 HSAs located in SEER areas. HSAs were ranked from lowest to highest adherence to each quality measure. Probability of receiving care adherent to each quality measure was calculated by use of hierarchical generalized linear modeling adjusting for patient and regional characteristics. Models also account for differences in reliability of individual HSA level adherence rates resulting from variations in number of patients per HSA. Solid red line represents adjusted adherence rate for each HSA. Horizontal line represents adjusted overall mean rate of adherence. Error bars represent 95% CIs for rates of individual HSAs. Black error bars represent rates that are statistically significantly different from overall mean. Gray error bars represent rates that are not significantly different from overall mean. The Journal of Urology 2014 191, 957-963DOI: (10.1016/j.juro.2013.10.066) Copyright © 2014 American Urological Association Education and Research, Inc. Terms and Conditions

Figure 2 Proportion of HSAs that were high performing for one quality measure and high performing (top 20%) for other quality measures. Asterisk denotes chi-square test p <0.05. The Journal of Urology 2014 191, 957-963DOI: (10.1016/j.juro.2013.10.066) Copyright © 2014 American Urological Association Education and Research, Inc. Terms and Conditions