Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jul 10;23(1):743.
doi: 10.1186/s12913-023-09763-3.

Applicability of drug-related problem (DRP) classification system for classifying severe medication errors

Affiliations

Applicability of drug-related problem (DRP) classification system for classifying severe medication errors

Carita Linden-Lahti et al. BMC Health Serv Res. .

Abstract

Background: Several classification systems for medication errors (MEs) have been established over time, but none of them apply optimally for classifying severe MEs. In severe MEs, recognizing the causes of the error is essential for error prevention and risk management. Therefore, this study focuses on exploring the applicability of a cause-based DRP classification system for classifying severe MEs and their causes.

Methods: This was a retrospective document analysis study on medication-related complaints and authoritative statements investigated by the Finnish National Supervisory Authority for Welfare and Health (Valvira) in 2013-2017. The data was classified by applying a previously developed aggregated DRP classification system by Basger et al. Error setting and harm to the patient were identified using qualitative content analysis to describe the characteristics of the MEs in the data. The systems approach to human error, error prevention, and risk management was used as a theoretical framework.

Results: Fifty-eight of the complaints and authoritative statements concerned MEs, which had occurred in a wide range of social and healthcare settings. More than half of the ME cases (52%, n = 30) had caused the patient's death or severe harm. In total, 100 MEs were identified from the ME case reports. In 53% (n = 31) of the cases, more than one ME was identified, and the mean number of MEs identified was 1.7 per case. It was possible to classify all MEs according to aggregated DRP system, and only a small proportion (8%, n = 8) were classified in the category "Other," indicating that the cause of the ME could not be classified to specific cause-based category. MEs in the "Other" category included dispensing errors, documenting errors, prescribing error, and a near miss.

Conclusions: Our study provides promising preliminary results for using DRP classification system for classifying and analyzing especially severe MEs. With Basger et al.'s aggregated DRP classification system, we were able to categorize both the ME and its cause. More research is encouraged with other ME incident data from different reporting systems to confirm our results.

Keywords: Classification system; Drug-related problem; Medication error; Medication safety; Severe medication error; Taxonomy.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The relationship between the definitions of drug-related problems, adverse drug events, and medication errors summarized and modified from [, , , –26]
Fig. 2
Fig. 2
The protocol for obtaining the research data on the medication-related complaints and authoritative statements from 2013–2017 in which the major causes were classified as pharmacotherapy by the National Supervisory Authority for Welfare and Health (Valvira)
Fig. 3
Fig. 3
An example of how MEs were identified from the case descriptions (n = 58) and categorized with Basger et al.’s aggregated DRP classification system [21]

Similar articles

Cited by

References

    1. Committee on Identifying and Preventing Medication Errors. Aspden P, Wolcott J, Bootman JL, Cronenwett LR (eds). Preventing medication errors: quality chasm series. Washington, DC: National Academies Press; 2006.
    1. World Health Organization (WHO). The third WHO Global Patient Safety Challenge: Medication Without Harm. https://www.who.int/publications/i/item/WHO-HIS-SDS-2017.6. Accessed 6 March 2023.
    1. Panagiotti M, Khan K, Keers NR, Abuzour A, Phipps D, Kontopantelos E, et al. Prevalence, severity, and nature of preventable patient harm across medical care settings: systematic review and meta-analysis. BMJ. 2019;366:l4185. doi: 10.1136/bmj.l4185. - DOI - PMC - PubMed
    1. National Coordinating Council for Medication Error Reporting and Prevention (NCCMERP). What is a Medication Error? https://www.nccmerp.org/about-medication-errors. Accessed 6 March 2023.
    1. Institute for Safe Medication Practices. Error Reporting and Analysis. https://www.ismp.org/error-reporting-programs. Accessed 6 March 2023.

LinkOut - more resources