의약품 적정사용(Drug Utilization Review, 이하 DUR)은 병용 시 또는 어린이, 노인, 임부에게 투여 시 주의해야 하는 의약품 정보 등을 알리고, 정해진 기준에 따라 약물 사용이 적절하게 이뤄지는지 점검하고 평가하는 제도입니다.

의약품 적정사용(Drug Utilization Review, 이하 DUR)은 병용 시 또는 어린이, 노인, 임부에게 투여 시 주의해야 하는 의약품 정보 등을 알리고, 정해진 기준에 따라 약물 사용이 적절하게 이뤄지는지 점검하고 평가하는 제도입니다.

의약품 적정사용(Drug Utilization Review, 이하 DUR)은 병용 시 또는 어린이, 노인, 임부에게 투여 시 주의해야 하는 의약품 정보 등을 알리고, 정해진 기준에 따라 약물 사용이 적절하게 이뤄지는지 점검하고 평가하는 제도입니다.

건강보험심사평가원 의약품안전사용서비스(DUR, Drug Utilization Review) 의약품 품목 정보(병용금기, 연령금기, 임산부금기)

Background Inappropriate prescribing has been estimated to be as high as 40% in long-term care. The purpose of this study was to develop a computer program that identifies potentially inappropriate drug prescriptions and to test its reliability. Methods Potentially inappropriate prescriptions were identified based on modified McLeod guidelines. A database from one pharmacy servicing long-term care facilities in Ontario was utilized for this cross-sectional study. Prescription information was available for the 356 long-term care residents and included: the date the prescription was filled, the quantity of drug prescribed and the eight-digit drug identification number. The pharmacy database was linked to the computer-based program for targeting potential inappropriate prescriptions. The computer program's reliability was assessed by comparing its results to a manual search conducted by two independent research assistants. Results There was complete agreement between the computer and manual abstraction for the total number of potentially inappropriate prescriptions detected. In total, 83 potentially inappropriate prescriptions were identified. Fifty-three residents (14.9%) received at least one potentially inappropriate prescription. Of those, twenty (37.7%) received two potential inappropriate prescriptions and eight (15.1%) received 3 or more potential inappropriate prescriptions. The most common potential inappropriate prescriptions were identified as long-term use of non-steroidal anti-inflammatory agents and tricyclic antidepressants with active metabolites. Conclusion A computer program can accurately and automatically detect inappropriate prescribing in residents of long-term care facilities. This tool may be used to identify potentially inappropriate drug combinations and educate health care professionals.