Descriptive analysis on disproportionate medication errors and associated patient characteristics in the Food and Drug Administration’s Adverse Event Reporting System.

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Descriptive analysis on disproportionate medication errors and associated patient characteristics in the Food and Drug Administration’s Adverse Event Reporting System.

Descriptive analysis on disproportionate medication errors and associated patient characteristics in the Food and Drug Administration’s Adverse Event Reporting System.

アブストラクト	BACKGROUND: Medication errors (MEs) are a major public health concern which can cause harm and financial burden within the healthcare system. Characterizing MEs is crucial to develop strategies to mitigate MEs in the future. OBJECTIVES: To characterize ME-associated reports, and investigate signals of disproportionate reporting (SDRs) on MEs in the Food and Drug Administration's Adverse Event Reporting System (FAERS). METHODS: FAERS data from 2004 to 2020 was used. ME reports were identified with the narrow Standardised Medical Dictionary for Regulatory Activities(R) (MedDRA(R)) Query (SMQ) for MEs. Drug names were converted to the Anatomical Therapeutic Chemical (ATC) classification. SDRs were investigated using the reporting odds ratio (ROR). RESULTS: In total 488 470 ME reports were identified, mostly (59%) submitted by consumers and mainly (55%) associated with females. Median age at time of ME was 57 years (interquartile range: 37-70 years). Approximately 1 out of 3 reports stated a serious health outcome. The most prevalent reported drug class was "antineoplastic and immunomodulating agents" (25%). The most common ME type was "incorrect dose administered" (9%). Of the 1659 SDRs obtained, adalimumab was the most common drug associated with MEs, noting a ROR of 1.22 (95% confidence interval: 1.21-1.24). CONCLUSION: This study offers a first of its kind characterization of MEs as reported to FAERS. Reported MEs are frequent and may be associated with serious health outcomes. This FAERS data provides insights on ME prevention and offers possibilities for additional in-depth analyses.
ジャーナル名	Pharmacoepidemiology and drug safety
Pubmed追加日	2024/1/2
投稿者	Pera, Victor; van Vaerenbergh, Frauke; Kors, Jan A; van Mulligen, Erik M; Parry, Rowan; de Wilde, Marcel; Lahousse, Lies; van der Lei, Johan; Rijnbeek, Peter R; Verhamme, Katia M C
組織名	Department of Medical Informatics, Erasmus University Medical Center, Rotterdam,;The Netherlands.;Department of Bioanalysis, Ghent University, Ghent, Belgium.;Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The;Netherlands.
Pubmed リンク	https://www.ncbi.nlm.nih.gov/pubmed/38158381/