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Therapeutic Duplication as a Medication Error Risk in Fixed-Dose Combination Drugs for Dyslipidemia: A Nationwide Studyopen access

Authors
Choi, WonbinKoo, HyunjiJeong, Kyeong HyeKim, EunyoungYou, Seung-HunLee, Min-TaekJung, Sun-Young
Issue Date
Sep-2023
Publisher
한국임상약학회
Keywords
Drug prescriptions; dyslipidemias; fixed-dose combination drugs; medication errors; therapeutic duplication
Citation
한국임상약학회지, v.33, no.3, pp 168 - 177
Pages
10
Journal Title
한국임상약학회지
Volume
33
Number
3
Start Page
168
End Page
177
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/69463
DOI
10.24304/kjcp.2023.33.3.168
ISSN
1226-6051
2508-786X
Abstract
Background & Objectives: Fixed-dose combinations (FDCs) offer advantages in adherence and cost-effectiveness compared to free combinations (FCs), but they can also complicate the prescribing process, potentially leading to therapeutic duplication (TD). This study aimed to identify the prescribing patterns of FDCs for dyslipidemia and investigate their associated risk of TD. Methods: This was a retrospective cohort study involving drugs that included statins, using Health Insurance Review & Assessment Service- National Patient Sample (HIRA-NPS) data from 2018. The unit of analysis was a prescription claim. The primary outcome was TD. The risk ratio of TD was calculated and adjusted for patient, prescriber, and the number of cardiovascular drugs prescribed using a multivariable Poisson model. Results: Our study included 252,797 FDC prescriptions and 515,666 FC prescriptions. Of the FDC group, 46.52% were male patients and 56.21% were aged 41 to 65. Ezetimibe was included in 71.61% of the FDC group, but only 0.25% of the FC group. TD occurred in 0.18% of the FDC group, and the adjusted risk ratio of TD in FDC prescriptions compared to FC was 6 . 44 (95% CI 5 . 30-7. 82). Conclusions: Prescribing FDCs for dyslipidemia was associated with a higher risk of TD compared to free combinations. Despite the relatively low absolute prevalence of TD, the findings underline the necessity for strategies to mitigate this risk when prescribing FDCs for dyslipidemia. Our study suggests the potential utility of Clinical Decision Support Systems and standardizing nomenclature in reducing medication errors, providing valuable insights for clinical practice and future research.
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