HEALTH TECHNOLOGICAL SUPPORTS TO DETECT MEDICATION ERRORS- THE SANIARP CASE-STUDY
Author(s)
Francesca Guerriero F1, Francesca Aiardo F1, Maria Claudia Punzo M1, Giuseppina Farina G2, Claudia Pagliaro C2, Daniela Valiante D2, Mario Ignozzi M2, Valentina Orlando V1, Enrica Menditto E1
1University of Naples Federico II, Naples, Italy, 2Caserta LHU, Caserat, Italy
OBJECTIVES: Health information technologies represent a valuable tool to promote a better use of medicines and optimize health expenditure. The purpose of this study is to assess advantages provided by the use of technological supports to detect medication errors (MEs) in a community setting. METHODS: In 2011, the Local Health Unit (LHU) Caserta established an innovative web platform, the Saniarp PHT. This platform allows tracking of drug prescriptions included in the Hospital-Territory Formulary (PHT), and puts in network medical specialists working in Prescribing Centers of regional relevance, community pharmacies and General Practioners (GPs). Through this platform, LHU can perform real time checks on prescription, distribution and inventory of PHT drugs. A multidisciplinary team checks each prescription that LHU received and confirm or not the distribution. A retrospective cross-sectional analysis was performed (Sept 2013-Sept 2014) to evaluate frequencies and types of ME occurred during the observation period. MEs were then classified according to MedDRA Preferred Term Groups on the basis of Draft World Health Organization (WHO) ME Classification. RESULTS: During the observation period, 1233 MEs were detected. The most frequent MEs were “Circumstance or information capable of leading to medication error” (n=761, 61,7%), followed by “Intercepted drug prescribing error” (n=194, 15,7%). The main anatomical groups most frequently associated with MEs were nervous system agents (48%), antineoplastic and immunomodulating agents (16%) and systemic anti-infectives agents (11,5%). CONCLUSIONS: Preventing MEs is important not only for patients’ safety, but also to optimize financial resources. Our data show that technological supports give consistent advantages in the MEs’ detection. Moreover, these tools are useless if not associated with a professional figure like pharmacist, or, even better, a multidisciplinary team.
Conference/Value in Health Info
2015-11, ISPOR Europe 2015, Milan, Italy
Value in Health, Vol. 18, No. 7 (November 2015)
Code
PHP298
Topic
Health Service Delivery & Process of Care
Topic Subcategory
Quality of Care Measurement
Disease
Multiple Diseases