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. 2019 Jul 27;46(6):847–857. doi: 10.1007/s10488-019-00958-7

Table 6.

Three-level regression model for ward days

Elasticity Std. Err. p value N
Cluster 0 0.2418 0.0501 < 0.01 11,563
Cluster 1 0.1568 0.0315 < 0.01 21,291
Cluster 2 0.2267 0.0374 < 0.01 26,647
Cluster 3 0.1449 0.0250 < 0.01 86,234
Cluster 4 0.1410 0.0214 < 0.01 114,109
Cluster 5 0.2174 0.0215 < 0.01 48,274
Cluster 6 0.1422 0.0459 < 0.01 22,451
Cluster 7 0.1681 0.0292 < 0.01 54,671
Cluster 8 0.1858 0.0200 < 0.01 48,131
Cluster 10 0.2199 0.0228 < 0.01 27,553
Cluster 11 0.1167 0.0260 < 0.01 65,760
Cluster 12 0.1369 0.0197 < 0.01 59,551
Cluster 13 0.3119 0.0224 < 0.01 36,559
Cluster 14 0.3040 0.0136 < 0.01 21,724
Cluster 15 0.2417 0.0214 < 0.01 5,960
Cluster 16 0.3293 0.0342 < 0.01 11,816
Cluster 17 0.3827 0.0365 < 0.01 15,895
Cluster 18 0.2219 0.0549 < 0.01 115,125
Cluster 19 0.2393 0.0404 < 0.01 125,115
Cluster 20 0.3870 0.0407 < 0.01 50,384
Cluster 21 0.3957 0.0512 < 0.01 19,835

Ward days is the dependent variable. Length of cluster-episode is the explanatory variable. Levels are cluster-episodes—patient—provider. Elasticity = (proportional change in ward days)/(proportional change in length of cluster-episode)