1. 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 (April 2014)
DOI: /j.juro
Copyright © 2014 American Urological Association Education and Research, Inc. Terms and Conditions

2. 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  , DOI: ( /j.juro )
Copyright © 2014 American Urological Association Education and Research, Inc. Terms and Conditions

3. 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  , DOI: ( /j.juro )
Copyright © 2014 American Urological Association Education and Research, Inc. Terms and Conditions