Identifying roles of clinical pharmacy with survey evaluation

TL;DR

This paper adapts survey analysis methods from marketing to evaluate and facilitate the integration of clinical pharmacy services into hospitals, providing managerial insights and predictive models.

Contribution

It introduces the use of the OrdEval algorithm for assessing competencies and predicting successful clinical pharmacy implementation in hospital departments.

Findings

Identifies key competencies for clinical pharmacy success

Predicts wards with high probability of successful cooperation

Provides visualized, confidence-interval-supported insights

Abstract

The survey data sets are important sources of data and their successful exploitation is of key importance for informed policy-decision making. We present how a survey analysis approach initially developed for customer satisfaction research in marketing can be adapted for the introduction of clinical pharmacy services into hospital. We use two analytical approaches to extract relevant managerial consequences. With OrdEval algorithm we first evaluate the importance of competences for the users of clinical pharmacy and extract their nature according to the users expectations. Next, we build a model for predicting a successful introduction of clinical pharmacy to the clinical departments. We the wards with the highest probability of successful cooperation with a clinical pharmacist. We obtain useful managerially relevant information from a relatively small sample of highly relevant respondents. We show how the OrdEval algorithm exploits the information hidden in the ordering of class and attribute values and their inherent correlation. Its output can be effectively visualized and complemented with confidence intervals.