Resource-sparing computerized tool for detection of adverse drug reactions

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Miguel, AI (Author) Other; Azevedo L (Author) FMUP; Silva, BM (Author) Other; Costa-Pereira A (Author) FMUP

Journal

Title: International Journal of Pharmacy and Technology

Vol. 5

Pages: 5118-5128

Publisher: International Journal of Pharmacy and Technology(IJPT)

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-008-APE

Abstract (EN): Aims: To develop and validate a computerized methodology of adverse drug reactions (ADRs) detection that could assist manual chart review (CR), with low costs of implementation and maintenance. Methods: A computerized clinical decision support tool (CT) was built, as well as drug databases and algorithms that allowed to identifying ADRs from few input data obtained through chart review. A retrospective study of 118 random patients was performed for validation. Results: CT detected 65 ADRs in 29 patients (versus 12 ADRs in 12 patients in CR) with low resources needed (29.5 versus 69 person-hours), allowing to identify a prevalence of 24.8% ADRs (versus 10.2%). CT suggested ADRs and also described frequent ADRs for each drug (allowing inexperienced reviewers to identify previously unsuspected ADR signs). Conclusions: CT is a promising Pharmacovigilance methodology, particularly at a time of world economic crisis, since it allows continuous surveillance with five times greater detection and half the resources needed by CR. It may be of use in hospitals without electronic records.

Language: English

Type (Professor's evaluation): Scientific