Pharmacovigilance in pediatrics: current challenges

Pediatric medication error reports in Korea adverse event reporting system database, 1989-2012: comparing with adult reports

Children have dynamic process of maturation and substantial changes in growth and development which eventually make the drug safety profiles different from adults. Medication errors (MEs) in pediatrics are reported to occur three times more likely than adults. The aims of this study were to identify the characteristics of pediatric MEs in Korea at national level and help raise awareness of risks from the MEs in pediatrics. We conducted a descriptive analysis with the pediatric ME reports in Korea Adverse Event Reporting System (KAERS) database from 1989 to 2012 and 208 ME reports in pediatrics were found. Based on KAERS database, the proportion of reported pediatric ME in adverse drug event (ADE) reports was 2.73 times (95% CI, 2.35-3.17) higher than that of adult ME. In 208 ME reports, we found a total of 236 ME-related terms within 19 types of MEs. The most common type of MEs was "accidental overdose" (n=58, 24.6%), followed by "drug maladministration" (n=50, 21.2%) and "medication error" (n=41, 17.4%). After the narratives of ME reports were reviewed, we noticed that most of them did no harm to patients, but some cases were needed for medical treatment. Our data suggest that MEs in pediatrics are not negligible in Korea. We expect that this study would increase the awareness of the problem in pediatric MEs and induce the need for further development of an effective national ME preventing system in Korea.

E-pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions

AIMS

Computer-assisted signal generation is an important issue for the prevention of adverse drug reactions (ADRs). However, due to poor standardization of patients' medical data and a lack of computable medical drug knowledge the specificity of computerized decision support systems for early ADR detection is too low and thus those systems are not yet implemented in daily clinical practice. We report on a method to formalize knowledge about ADRs based on the Summary of Product Characteristics (SmPCs) and linking them with structured patient data to generate safety signals automatically and with high sensitivity and specificity.

METHODS

A computable ADR knowledge base (ADR-KB) that inherently contains standardized concepts for ADRs (WHO-ART), drugs (ATC) and laboratory test results (LOINC) was built. The system was evaluated in study populations of paediatric and internal medicine inpatients.

RESULTS

A total of 262 different ADR concepts related to laboratory findings were linked to 212 LOINC terms. The ADR knowledge base was retrospectively applied to a study population of 970 admissions (474 internal and 496 paediatric patients), who underwent intensive ADR surveillance. The specificity increased from 7% without ADR-KB up to 73% in internal patients and from 19.6% up to 91% in paediatric inpatients, respectively.

CONCLUSIONS

This study shows that contextual linkage of patients' medication data with laboratory test results is a useful and reasonable instrument for computer-assisted ADR detection and a valuable step towards a systematic drug safety process. The system enables automated detection of ADRs during clinical practice with a quality close to intensive chart review.