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Medical Inpatients at Risk of Extended Hospital Stay and Poor Discharge Health Status: Detection With COMPRI and INTERMED

Peter de Jonge, PhD, Iris Bauer, MSc, Frits J. Huyse, MD, PhD and Corine H. M. Latour, CNS, RN

From Department of Psychiatry (P.D.J., I.B., F.J.H., C.H.M.L.), Vrije Universiteit Medical Center, Amsterdam; and Department of Social Psychiatry (P.D.J.), University of Groningen, Groningen, The Netherlands.



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  		Fig. 1. Patient flow chart.

 


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  		Fig. 2. ROC curve of COMPRI to predict LOS (>=8 days). *AUC = .73 (95% CI: 0.67–0.79;p < .01).

 


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  		Fig. 3. ROC curve of INTERMED to predict SF-36 MCS (<=62). *AUC = .68 (95% CI: 0.60–0.75; p < .01).

 


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  		Fig. 4. ROC curve of INTERMED to predict SF-36 PCS (<=41). *AUC = .60 (95% CI = 0.52–0.67;p = .016)

 




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