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투약오류 최소화를 위한 국내 유사 의약품명 현황에 대한 의약품목록 데이터베이스 분석연구
- 박선영;
- 최수정;
- 정선영
초록
A research analysis was conducted to minimize medication errors caused by Looks-alike and Sounds-alike (LASA) drugs among all pharmaceuticals listed in the domestic National Health Insurance Service's drug reimbursement and maximum reimbursement price list. Data from the National Health Insurance Service was utilized to identify Look-alike drugs, which have different drug substances but similar packaging and dosage labeling, and Sound-alike drugs, which have similar phonetic characteristics. These drugs were mapped with their respective ATC (Anatomical Therapeutic Chemical) codes for analysis. Among the total of 23,427 pharmaceuticals listed in the drug reimbursement and maximum reimbursement price list, there were 526 items (2.6%) identified as Looks-alike drugs with similar dosage labeling, and 656 items (3.23%) identified as Sounds-alike drugs with similar phonetic characteristics. Drugs within important therapeutic classes such as diabetes medications and gastrointestinal drugs, which have the potential for medication errors due to LASA issues, should establish guidelines for information sharing and product naming to minimize medication errors.
키워드
- 제목
- 투약오류 최소화를 위한 국내 유사 의약품명 현황에 대한 의약품목록 데이터베이스 분석연구
- 제목 (타언어)
- A Study on the Analysis of the Drug List Database on the Status of Similar Drug Names in Korea to Minimize Dosing Errors
- 저자
- 박선영; 최수정; 정선영
- 발행일
- 2023-12
- 저널명
- KFDC규제과학회지
- 권
- 18
- 호
- 2
- 페이지
- 151 ~ 159
- 언어
- KOR
- 출판사
- 한국에프디시규제과학회
- 발행국가
- 대한민국
- 분량
- 9 페이지
- ISSN
- P 2799-8940