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. Author manuscript; available in PMC: 2014 May 1.
Published in final edited form as: Med Care. 2013 May;51(5):404–412. doi: 10.1097/MLR.0b013e318286e3c8

Figure 4.

Figure 4

Predicted home discharge probability by diagnosis-specific volume quintiles. The values were obtained from hierarchical generalized linear models and represent the predicted probabilities for white, female patients with average clinical characteristics (age, comorbidity burden, duration to admission, admission functional status, and length of stay) within each of the three diagnosis categories. Sample sizes increase across quintiles and vary by diagnosis: stroke 12,867 (Q1) – 83,567 (Q5), fracture 5,609 (Q1) – 59,511 (Q5), joint replacement 4,326 (Q1) – 79,831 (Q5), see Table for more details. Reference category = Q3 for all tests of significance, none of which reached p < .01.