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P-390 - Preliminary Data on Intermed Self-assessment (im-sa) Predictive Validity

Published online by Cambridge University Press:  15 April 2020

A. Ghidoni ,
F.J. Huyse ,
F. Stiefel ,
C. Zdrojewski ,
B. Wild  and
S. Ferrari
A. Ghidoni
Affiliation:
Psychiatry, University of Modena and Reggio Emilia, Modena, Italy
F.J. Huyse
Affiliation:
Private Practice, Amsterdam, The Netherlands
F. Stiefel
Affiliation:
Psychiatry, University Hospital Lausanne, Lausanne, Switzerland
C. Zdrojewski
Affiliation:
Psychiatry, University Hospital Lausanne, Lausanne, Switzerland
B. Wild
Affiliation:
Psychosomatic and Internal Medicine II, University of Heidelberg, Heidelberg, Germany
S. Ferrari
Affiliation:
Psychiatry, University of Modena and Reggio Emilia, Modena, Italy

Abstract

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Introduction:

The INTERMED method was created to identify patients with multiple care risks, needs and negative health outcomes, in order to assess their biopsychosocial complexity as a first step towards integrated care. Until now, it was based on a face-to-face interview (IM-CAG). Several studies in the last decades have confirmed its face-validity and reliability. A self-assessment version was derived (IM-SA) providing a complementary tool for clinical and research applications.

Aim:

Preliminary evaluation of IM-SA's predictive validity, in comparison to IM-CAG's.

Methods:

29 outpatients with liver disorders referred to the consultation-liaison psychiatry service of the Modena University Hospital underwent the protocol of evaluation, including: IM-SA, IM-CAG, CIRS, HADS, SF-36, EuroQol. Clinical and socio-demographic data were also collected for all patients.

Results:

Both INTERMED instruments, IM-CAG and IM-SA, were able to identify complex patients (with a total score higher than 21/60) and showed similar correlations to the other measurements (with a mean difference between correlations of 24%). Discrepancies were also suggested by preliminary data, particularly related to the prognostic assessment (“vulnerability”).

Conclusion:

Preliminary results suggest that IM-SA is able to predict complexity of health care needs. the IM-SA Study, an European multicentric project supported by the INTERMED Foundation and including different clinical populations, will provide stronger evidence about generalizability of data.

Type
Abstract
Information
European Psychiatry , Volume 27 , Issue S1: Abstracts of the 20th European Congress of Psychiatry , 2012 , pp. 1
Copyright
Copyright © European Psychiatric Association 2012
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