Overstay2 scoring model for Grace Hospital: Difference between revisions

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 == Data elements and assigned coefficients ==
-{{Discuss|
+The binary logistic regression  Y  (Overstay GE 10 Days)  which gave the AUC C-index =0.835 implying better predicted model and Hosmer and Lemeshow Goodness of fit test Chi-Square value of 6.1731 (prob=0.6278) is :
-* add the content for the chosen model 8 here, with links }}
+LN(Pred/1-Pred) = Y
+{| class="wikitable notsortable"
+ !Parameter !! Estimate !! Prob > ChiSq
+|-
+| Intercept  || -9.9707 || <.0001 ||
+|-
+| Age  || 0.0281  || <.0001 ||
+|-
+| Homeless || 1.2558 || 0.0166 ||
+|-
+| PCH  || -3.6064  || <.0001 ||
+|-
+| OutsideWPG  ||  || ||
+|-
+|  ||  || ||
+|-
+|  ||  || ||
+|-
+|  ||  || ||
+|-
+|  ||  || ||
+|-
+|  ||  || ||
+|}
+Where R is the risk of bad outcome and the categorical variable gender, is coded female=0 and male=1.
+How to calculate R:
+R=exp(Y)/1 + exp(Y)
+Heart rate (HR), respiratory rate (RR), White Blood cell Count (WBC), systolic Blood Pressure (sBP, AP Sys BP Field) - are continuous data
+The cut-off probability for R is 0.088 . "A cut-off point of 0.088, or a predicted probability of adverse outcome of 8.8%, was used to classify patients into two groups; high-risk and low-risk of adverse outcome." (from publication)
 == Log ==