Related Experiment Video
Updated: Apr 5, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Demonstrating the clinical pharmacist's activity: validation of an intervention oriented classification system
Karen A Maes1,2, Regina M Tremp3,
1Pharmaceutical Care Research Group, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland. karen.maes@unibas.ch.
Background:
Clinical pharmacists are increasingly involved in detecting and solving drug-related problems. To document their performance, a convenient tool to code pharmaceutical interventions in daily practice is desirable. The Swiss Society of Public Health Administration and Hospital Pharmacists (GSASA) proposed to implement a new classification system for pharmaceutical interventions.
Objectives:
To develop and validate a classification system for pharmaceutical interventions and to compare it with the well-established Pharmaceutical Care Network Europe (PCNE) system.
Setting:
Rehabilitation clinic, geriatric and orthopaedic wards of a 427-bed teaching hospital.
Methods:
Development of the GSASA classification started with expert panel discussions and the validation of the first version (GSASA V1). To assess appropriateness, interpretability, and validity, clinical pharmacists documented during a 6-week period all interventions using GSASA V1 and PCNE version 6.2 (V6.2). Acceptability and feasibility were tested by an 8-item questionnaire with 5-point Likert scale (1 = strongly disagree, 5 = strongly agree), and inter-rater reliability (Fleiss-Kappa coefficients κ) was determined. After revision, the second version (V2) was assessed again for reliability.
Mean Outcome Measures:
User's agreement/satisfaction, comprehensiveness/reliability of the classification system.
Results:
The GSASA V1 includes 4 categories and 35 subcategories. Of 115 interventions classified with GSASA V1, 93 (80.9 %) could be completely classified in all categories. This explains that 3 of 6 users could be not satisfied with the comprehensiveness of GSASA V1 (mean user agreement 2.7 ± 0.8). The questionnaire showed that all users could find GSASA V1 (4.0 ± 0.0) easier to use than PCNE V6.2 (3.0 ± 0.9). Users were generally satisfied with the GSASA V1 (3.5 ± 0.8), especially with the adequate time expenditure (4.0 ± 0.7). Inter-rater reliability and acceptability of GSASA V1 were comparable to those of the PCNE V6.2. The agreement among the GSASA V1 users was substantial for the categories 'problem' (κ = 0.66), 'intervention' (κ = 0.74), and 'outcome' (κ = 0.63), while moderate agreement for the category 'cause' was obtained (κ = 0.53). The final system GSASA V2 includes 5 categories (addition of 'type of problem') and 41 subcategories. Total inter-rater reliability was moderate (κ = 0.52).
Conclusion:
The GSASA classification system appeared to be reliable and promising for documentation of pharmaceutical interventions in daily practice (practical and less time-consuming). The system is validated in terms of appropriateness, interpretability, validity, acceptability, feasibility, and reliability.
Related Concept Videos
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
Therapeutic Drug Monitoring: Overview and Classification
Drug Classes and Categories
Dosage Regimen: Individualization
Dosage Regimens: Designs and Approaches
Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

