Analysis of drug-related problems in three departments of a German University hospital

Background

During the last decades, pharmaceutical care services have been developed and implemented to optimize drug therapies and ensure medication safety. To investigate the need for pharmaceutical care services, drug-related problems can be measured.

Objective

Thus, the aim of this study was to analyse number, type and occurrence of drug-related problems in different clinical departments.

Setting

A pharmaceutical care service was established on general wards in Urology, Neurology and Gastroenterology at the University Hospital RWTH Aachen, Germany.

Method

For each of a total of 306 patients, a pharmacist conducted an extended medication history, performed medication reconciliation, conducted medication safety checks and if drug-related problems were discovered, gave valid recommendations to the attending healthcare team. Drug-related problems were classified using the APS-Doc system. For statistical analyses, SAS^® 9.1.3, SAS Institute, Cary NC, USA was applied. The project was approved by the local ethics committee.

Main outcome measure

Type, occurrence and frequency of DRP in different medical departments.

Results

On average, 2.3 drug-related problems per patient were documented for all three departments. Drug-related problems were found in each category of the APS-Doc system. The most pronounced drug-related problems found were drug–drug interactions (34.6 %). 37 % of the identified drug-related problems occurred before hospital admission, 27 % during transitional care, and 36 % on the ward. Subgroup analysis revealed specific drug-related problem patterns for each clinical department. The number of drug-related problems was found to be associated with the number of drugs and age.

Conclusion

Drug-related problems frequently occur in all investigated clinical departments. A holistic pharmaceutical care service could be an option to address this issue. In case of limited resources, individual drug-related problem patterns can be used as a basis for a tailored pharmaceutical care service. As number of drugs and age have been shown to be significant risk factors, it is crucial that the healthcare team including the pharmacist pays special attention to elderly patients and those with polymedication.