Translation and validation of a tool to assess the impact of clinical pharmacists' interventions
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Updated: Oct 9, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Dominik Stämpfli1, Pascal Baumgartner2, Fabienne Boeni2,3
1Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland. dominik.staempfli@unibas.ch.
Abstract:
Background The tool CLEO in French language is designed for estimating the potential relevance of pharmacists' interventions (PIs) in three independent dimensions with regard to process-related, clinical, economic, and humanistic impact. Objective We aimed to translate CLEO into German (CLEOde), to demonstrate its feasibility in daily practice, and to validate the German version. Setting Convenience sample of three Swiss hospitals with established clinical pharmacy services. Method We translated CLEO according to the ISPOR Principles of Good Practice. The potential relevance of PIs performed within a 13-day period of routine clinical pharmacy services was then estimated with CLEOde. Ten clinical pharmacists experienced with CLEOde subsequently completed a 19-item questionnaire to assess user's agreement on appropriateness, acceptability, feasibility, and precision of the tool. Additionally, each pharmacist evaluated 10 model cases with CLEOde. Main outcome measure User satisfaction; interrater reliability and test-retest reliability. Results CLEOde was used to estimate the potential relevance of 324 PIs. The reported time needed to complete a single estimation was less than 1 min. The use of CLEOde was seen as appropriate, acceptable, feasible, and precise. Interrater reliability was good for the clinical and economic dimensions and was poor for the organisational dimension; test-retest correlation was strong for all three dimensions with excellent to fair reliability. Conclusion We present CLEOde as a validated tool in German language suitable to estimate the potential relevance of PIs. After further refinement of the organisational dimension, CLEOde could provide a qualitative value to quantitative information on PIs.
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