| Title |
Analysis of drug-related problems in three departments of a German University hospital
|
|---|---|
| Published in |
International Journal of Clinical Pharmacy, October 2015
|
| DOI | 10.1007/s11096-015-0213-1 |
| Pubmed ID | |
| Authors |
Rebekka Lenssen, Axel Heidenreich, Jörg B. Schulz, Christian Trautwein, Christina Fitzner, Ulrich Jaehde, Albrecht Eisert |
| Abstract |
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. Thus, the aim of this study was to analyse number, type and occurrence of drug-related problems in different clinical departments. A pharmaceutical care service was established on general wards in Urology, Neurology and Gastroenterology at the University Hospital RWTH Aachen, Germany. 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. Type, occurrence and frequency of DRP in different medical departments. 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. 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 141 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 20% |
| Student > Ph. D. Student | 18 | 13% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 9 | 6% |
| Researcher | 7 | 5% |
| Other | 23 | 16% |
| Unknown | 46 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 50 | 35% |
| Medicine and Dentistry | 22 | 15% |
| Nursing and Health Professions | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Chemistry | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 49 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2015.
All research outputs
#18,429,829
of 22,831,537 outputs
Outputs from International Journal of Clinical Pharmacy
#876
of 1,081 outputs
Outputs of similar age
#204,920
of 284,638 outputs
Outputs of similar age from International Journal of Clinical Pharmacy
#19
of 24 outputs
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