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Open Access Research article

Development and psychometric properties of a five-language multiperspective instrument to assess clinical decision making style in the treatment of people with severe mental illness (CDMS)

Bernd Puschner1*, Petra Neumann1, Harriet Jordan2, Mike Slade2, Andrea Fiorillo3, Domenico Giacco3, Anikó Égerházi4, Tibor Ivánka4, Malene Krogsgaard Bording5, Helle Østermark Sørensen5, Arlette Bär6, Wolfram Kawohl6, Sabine Loos1 and ,for the CEDAR study group

Author Affiliations

1 Department of Psychiatry II, Ulm University, Ludwig-Heilmeyer-Str. 2, Günzburg, 89312, Germany

2 King’s College London, Section for Recovery, Institute of Psychiatry, London, U.K

3 Department of Psychiatry, Second University of Naples, Naples, Italy

4 Department of Psychiatry, University of Debrecen Medical and Health Science Center, Debrecen, Hungary

5 Unit for Psychiatric Research, Aalborg Psychiatric Hospital, Aalborg University Hospital, Aalborg, Denmark

6 Department of General and Social Psychiatry, University of Zurich, Zurich, Switzerland

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BMC Psychiatry 2013, 13:48  doi:10.1186/1471-244X-13-48

Published: 4 February 2013

Abstract

Background

The aim of this study was to develop and evaluate psychometric properties of the Clinical Decision Making Style (CDMS) scale which measures general preferences for decision making as well as preferences regarding the provision of information to the patient from the perspectives of people with severe mental illness and staff.

Methods

A participatory approach was chosen for instrument development which followed 10 sequential steps proposed in a current guideline of good practice for the translation and cultural adaptation of measures. Following item analysis, reliability, validity, and long-term stability of the CDMS were examined using Spearman correlations in a sample of 588 people with severe mental illness and 213 mental health professionals in 6 European countries (Germany, UK, Italy, Denmark, Hungary, and Switzerland).

Results

In both patient and staff versions, the two CDMS subscales “Participation in Decision Making” and “Information” reliably measure distinct characteristics of decision making. Validity could be demonstrated to some extent, but needs further investigation.

Conclusions

Together with two other five-language patient- and staff-rated measures developed in the CEDAR study (ISRCTN75841675) – “Clinical Decision Making in Routine Care” and “Clinical Decision Making Involvement and Satisfaction” – the CDMS allows empirical investigation of the complex relation between clinical decision making and outcome in the treatment of people with severe mental illness across Europe.