Related Experiment Video
Updated: Aug 2, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Quality of MedDRA® Coding in a Sample of COVID-19 Vaccine Medication Error Data
Katarina Kralova1, Carol-Ann Wilson2, Nicolas Richebourg3
1Sanofi Global Pharmacovigilance, Paris, France. katarina.kralova@sanofi.com.
Introduction:
In recent years, there has been increasing interest from regulatory agencies and scientific organisations into the recording, coding and reporting of medication errors. Accuracy and consistency in the handling of medication error reports ensure the safety and effectiveness of medicines and provide reliable information to both healthcare professionals and patients.
Objective:
The authors have examined a sample of Medical Dictionary for Regulatory Activities (MedDRA®) coded reports that describe medication errors to assess the accuracy and consistency of MedDRA® coding, and to identify the main types of coding errors for the newly introduced COVID-19 vaccines.
Methods:
The sample of coded terms was assessed by two MedDRA® experts applying the Four Eyes Principle. It included 1500 reported terms drawn from the Uppsala Monitoring Centre database reported up to 25 August, 2021, describing medication errors for COVID-19 vaccines with their assigned MedDRA® terms.
Results:
One third of the records could not be assessed because of incomplete or unclear verbatims. In one third, MedDRA® term assignments were correct, but another third of the sample was not adequately coded. The most frequent coding errors corresponded to vague MedDRA® Preferred Term assignments despite more detailed information being available in the verbatim for a more precise coding. This observation is similar to findings in the EudraVigilance database, where some of the most frequently assigned MedDRA® terms for medication errors also represent vague concepts.
Conclusions:
The findings indicate that understanding of medication error documentation and of the importance of accurate extraction of information from case narratives, as well as knowledge of MedDRA® content and coding guidelines need to be reinforced. The authors provide useful references to training opportunities and to the applicable International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use-Endorsed Guides for MedDRA® users.
More Related Videos
Related Concept Videos
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...
Errors occurring during blood pressure monitoring
Several factors...
Guidelines for Nursing Documentation I
Factual:
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
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...
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Data Reporting and Recording

