The Use of a Clinical Decision Support System to Identify Potential Drug-Related Problems: Focused on the Types of Alerts for Pediatric Patients
2022 (Engelska)Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hp
Studentuppsats (Examensarbete)
Abstract [en]
Background: Sweden is among the top countries with the greatest use of e-prescriptions at a national level. A clinical decision support system called Electronic Expert Support (EES) is available at all pharmacies in Sweden to examine e-prescriptions in connection with the dispensing to prevent drug related problems (DRPs). DRPs result in patient suffering and substantial costs for society. The types of alerts generated for pediatric patients at Swedish pharmacies using EES-system has not been studied before, to the best of our knowledge. Aim: The aim of this research is to study the use of EES at pharmacies in Sweden for the pediatric population (ages 0-12 years), by describing what types of alerts for potential DRPs are generated, how they are handled and how the use of EES has changed over time. Method: Data on the number and categories of EES analyses, alerts, and resolved alerts was provided by the Swedish eHealth Agency. Results: The study shows that the use of EES has increased. The most common type of generated alert for a potential DRP among pediatric was high dose pediatric (30,3% of all alerts generated). The most common type of alert for a potential DRP that was resolved among pediatrics was therapy duplication (45,8%). The most common reason for closing an alert was dialogue with patient for verification of the treatment (66,3% of all closed alerts). Conclusion: Knowledge of which type of alerts that are the most common may contribute to increased prescriber awareness of important potential DRPs. Future studies should investigate the clinical relevance of the generated alerts for the pediatric population.
Ort, förlag, år, upplaga, sidor
2022. , s. 36
Nyckelord [en]
CDSS, ESS, Dispensing, Pharmacist, Alerts, Sweden, Pediatric
Nationell ämneskategori
Farmaceutiska vetenskaper
Identifikatorer
URN: urn:nbn:se:uu:diva-478249OAI: oai:DiVA.org:uu-478249DiVA, id: diva2:1675162
Ämne / kurs
Farmaci
Utbildningsprogram
Apotekarprogrammet
Handledare
Examinatorer
2023-01-172022-06-222023-01-17Bibliografiskt granskad