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Tiering 'Drug Combinations to Avoid' and 'Drug-age Precaution' DUR Alerts by Severity Level and its Application

병용금기, 연령금기 경고 등급화 방안과 DUR 처방변경률 분석

  • Lee, Soo Ok (College of Pharmacy, Pusan National University) ;
  • Je, Nam Kyung (College of Pharmacy, Pusan National University) ;
  • Kim, Dong-Sook (Research Team, Health Insurance Review & Assessment Service) ;
  • Cheun, Bang Ok (Research Team, Health Insurance Review & Assessment Service) ;
  • Hwang, In Ok (Research Team, Health Insurance Review & Assessment Service)
  • 이수옥 (부산대학교 약학대학) ;
  • 제남경 (부산대학교 약학대학) ;
  • 김동숙 (건강보험심사평가원 연구조정실) ;
  • 천방옥 (건강보험심사평가원 연구조정실) ;
  • 황인옥 (건강보험심사평가원 연구조정실)
  • Received : 2015.09.06
  • Accepted : 2015.11.11
  • Published : 2015.12.31

Abstract

The computerized prospective Drug Utilization Review (DUR) program supported by the Korean government has provided alerts to physicians and pharmacists since December 2010. This study aims to propose and apply the tiering system in "drug combinations to avoid (DCA)" and "age-precaution" alerts based on severity to improve the compliance of users. To propose the severity and clinical importance of 647 DCA alerts and 140 age precautions, a Delphi evaluation survey was conducted. An expert panel comprising 5 clinical pharmacists and 5 physicians were participated in mail surveys. Based on the results of Delphi survey, DCA pairs were classified into 3 groups; group 1 (70.6%), 2 (26.9%), and 3 (2.8%). Drug-age precaution ingredients were also classified into three groups; group 1 (53.6%), group 2 (40.7%), and group 3 (5.7%). When this grouping was applied to claim data from 2011 to 2013, the majority of alerts had occurred in the groups of high severity. Presenting DUR alerts with severity level is expected to improve the compliance of clinicians. The implementation of tiering system in DUR criteria should be considered.

Keywords

References

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