Related Experiment Video
Updated: Jul 12, 2025
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
[Scoring tool to identify patients at increased risk for drug-related problems: results of a point prevalence study
Saskia Berger1,2, Heike Hilgarth3, Andreas Fischer1
1Klinik-Apotheke, Universitätsklinikum Carl Gustav Carus der Technischen Universität Dresden.
Introduction:
Drug therapy is a high-risk process and requires special attention, especially at sectoral borders. Pharmaceutical services such as medication review are appropriate measures to identify drug-related problems and thus improve the safety of drug therapy. Risk-scoring tools have been described in the literature as helpful for prioritizing medication reviews for patients at high risk for drug-related problems.
Methods:
In a multi-centre point prevalence study, we identified patients at increased risk for medication-related problems at hospital admission using the medication risk tool. In addition, the current level of implementation of pharmacy services was surveyed.
Results:
A total of 11 (58%; 11/19) hospital pharmacies in Saxony participated in the point prevalence survey. The scoring tool identified 32% (279/875) of patients at increased risk for medication-related problems (Meris score >12 group) at admission. Thereby, the number of drugs in the Meris score >12 group was 10.6 (average; standard deviation 3.5; n=279), while in the Meris score ≤12 group it was only five drugs per patient (average 4.6; standard deviation 2.8; n=596). The age of patients in the Meris score >12 group averaged 75.9 ± 11 years, while the age of patients in the Meris score ≤12 group averaged 60.6 ± 17.9 years.
Discussion:
Prioritization with the help of a risk-scoring tool is essential as pharmacy services in Saxon hospitals still need to be regularly established and in order to identify patients with an increased risk for drug-related problems at an early stage.
More Related Videos
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
01:17Factors Affecting Renal Clearance: Renal Impairment
One condition associated with renal failure is uremia. Uremia is characterized by impaired glomerular filtration and fluid accumulation in the body. This condition hinders the renal clearance of drugs, resulting in drug accumulation and potential...
01:19Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
01:15Receiver Operating Characteristic Plot
01:14SBAR II: Application of SBAR
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
01:25Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT