Related Experiment Video
Updated: Jul 3, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Identifying high-risk medications and error types in Danish patient safety database using disproportionality analysis
Olga Tchijevitch1, Søren F Birkeland1,2,3, Søren B Bogh1
1Research Unit OPEN, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Background:
Medication error (ME) surveillance in Danish healthcare relies on the mandatory national incident reporting system, the Danish Patient Safety Database (DPSD). Individual case reviews and descriptive statistics with frequency counts are the most often used approaches when analyzing MEs in incident reporting systems, including the DPSD. However, incident reporting systems often generate a large number of reports and may suffer from underreporting; consequently, additional approaches are needed to overcome these challenges. Disproportionality analysis (DPA) is a statistical tool used for signal detection of adverse drug reactions in pharmacovigilance reports, but the evidence for using DPA on ME analysis in safety reporting systems is limited.
Objectives:
We aimed to test the feasibility of DPA by analysing harmful MEs reported to DPSD 2014-2018.
Methods:
We utilized proportional reporting ratios (PRR) to identify signals of diproportionality.
Results:
We identified well-known high-risk medicines, including anticoagulants, opioids, insulins, antiepileptic, and antipsychotic drugs, and their association with several ME types and stages in a medication process.
Conclusion:
DPA might be suggested as an additional tool for screening MEs and identifying priority areas for further investigation in safety reporting systems.
Related Concept Videos
Hazard Ratio
For example, in a clinical trial...
Types 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,...
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
Pharmacovigilance
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...
Analysis of Population Pharmacokinetic Data
Guidelines for Nursing Documentation I
Factual:
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.

