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. Author manuscript; available in PMC: 2011 Mar 15.
Published in final edited form as: Cancer. 2010 Jan 15;116(2):331–339. doi: 10.1002/cncr.24763

Table 3.

Covariate Balance by Quartiles of the Calculated Propensity to Receive a Continent Urinary Diversiona

Characteristic Propensity Score Quartileb
1 2 3 4
Proportion continent diversions 11.9% 13.6% 17.1% 23.3%
Age, P .85 .93 .20 .08
Sex, P .27 .17 .23 .36
Race/ethnicity, P .67 .83 .45 .48
Primary payer, P .65 .42 .99 .96
Subject comorbid condition, P
 Congestive heart failure .98 .95 .47 .51
 Valvular disease .62 .93 .11 .66
 Other neurologic disorders .30 .26 .36 c
 Chronic pulmonary disease .84 .43 .81 .61
 Uncomplicated diabetes .72 .12 .63 .99
 Complicated diabetes .15 10 .52 c
 Hypothyroidism .16 .70 .39 .63
 Obesity .36 .40 c c
 Weight loss .34 .93 .30 .72
 Psychoses .37 .49 c c
Hospital type, P .37 .83 .42 .38
a

For each quartile, the number displayed represents the significance test for chi-square analysis comparing the proportion of each patient- and provider-level covariate by type of urinary diversion.

b

Propensity score quartile 1 contains subjects with the lowest likelihood of receiving a continent diversion, and quartile 4 contains those with the highest likelihood.

c

Within this propensity score quartile, no subject had a history of this comorbid condition.