Wide variation and patterns of physicians' responses to drug-drug interaction alerts

被引:11
|
作者
Cho, Insook [1 ,2 ,3 ]
Lee, Yura [4 ]
Lee, Jae-Ho [4 ,5 ]
Bates, David W. [2 ,3 ,6 ]
机构
[1] Inha Univ, Dept Nursing, Incheon 22212, South Korea
[2] Brigham & Womens Hosp, Div Gen Internal Med, Ctr Patient Safety Res & Practice, 75 Francis St, Boston, MA 02115 USA
[3] Harvard Med Sch, Boston, MA 02115 USA
[4] Asan Med Ctr, Dept Biomed Informat, Seoul, South Korea
[5] Univ Ulsan, Coll Med, Asan Med Ctr, Dept Emergency Med, 88 Olymp Ro 43 Gil, Seoul 05505, South Korea
[6] Partners Healthcare Syst, Wellesley, MA 02481 USA
基金
美国医疗保健研究与质量局;
关键词
computerized physician order entry; drug-drug interaction; alert override; behavior pattern; variation analysis; BEHAVIOR; OVERRIDE;
D O I
10.1093/intqhc/mzy102
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objectives Providing physicians with alerts about potentially harmful drug-drug interactions (DDIs) is only moderately effective due to high alert override rates. To understand high override behavior on DDI alerts, we investigated how physicians respond to DDIs and their behavior patterns and variations. Design Retrospective system log data analysis and records review (sampling 2% of total overrides). Setting A large tertiary academic hospital. Participants About 560 physicians and their override responses to DDI alerts generated from 1 September to 31 December 2014. Interventions Not applicable. Main Outcome Measure(s) DDI alert frequency and override rate. Results We found significant variation in both the number of alerts and override rates at the levels of physicians, departments and drug-class pairs. Physician-level variations were wider for residents than for faculty staff (number of alerts: t = 254.17, P = 0.011; override rates: t = -4.77, P < 0.0001). Using the number of alerts and their override rate, we classified physicians into four groups: inexperienced incautious users, inexperienced cautious users, experienced cautious users and experienced incautious users. Medical department influenced both alert numbers and override rates. Nearly 90% of the overrides involved only five drug-class combinations, which had a wide range of appropriateness in the chart review. Conclusion The variations at drug-class levels suggest issues with system design and the DDI rules. Department-level variation may be best addressed at the department level, and the rest of the variation appears related to individual physician responses, suggesting the need for interventions at an individual level.
引用
收藏
页码:89 / 95
页数:7
相关论文
共 50 条
  • [21] Community pharmacy managers' perception of computerized drug-drug interaction alerts
    Abarca, Jacob
    Malone, Daniel C.
    Skrepnek, Grant H.
    Rehfeld, Rick A.
    Murphy, John E.
    Grizzle, Amy J.
    Armstrong, Edward P.
    Woosley, Raymond L.
    JOURNAL OF THE AMERICAN PHARMACISTS ASSOCIATION, 2006, 46 (02) : 148 - 153
  • [22] Adverse events targeted by drug-drug interaction alerts in hospitalized patients
    Gatenby, James
    Blomqvist, Magnus
    Burke, Rosemary
    Ritchie, Angus
    Gibson, Kathy
    Patanwala, Asad E.
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2020, 143 (143)
  • [23] Reasons provided by prescribers when overriding drug-drug interaction alerts
    Grizzle, Amy J.
    Mahmood, Maysaa H.
    Ko, Yu
    Murphy, John E.
    Armstrong, Edward P.
    Skrepnek, Grant H.
    Jones, William N.
    Schepers, Gregory P.
    Nichol, W. Paul
    Houranieh, Antoun
    Dare, Donna C.
    Hoey, Christophe T.
    Malone, Daniel C.
    AMERICAN JOURNAL OF MANAGED CARE, 2007, 13 (10): : 573 - 580
  • [24] Review of physician adherence to drug-drug interaction alerts in a transplant hospital
    Polidori, P.
    Di Giorgio, C.
    Bavetta, S.
    Carollo, A.
    Patella, C.
    Provenzani, A.
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2012, 34 (01) : 208 - 208
  • [25] Practitioners' views on computerized drug-drug interaction alerts in the VA system
    Ko, Yu
    Ararca, Jagob
    Malone, Daniel C.
    Dare, Donna C.
    Geraets, Doug
    Houranieh, Antoun
    Jones, William N.
    Nichol, W. Paul
    Schepers, Gregory P.
    Wilhardt, Michelle
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2007, 14 (01) : 56 - 64
  • [26] AN INTERNATIONAL EVALUATION OF USER PERCEPTIONS OF DRUG-DRUG AND DRUG-ALLERGY INTERACTION ALERTS
    Robertson, Alexandra
    Neri, Pamela M.
    Burdick, Elisabeth
    Slight, Sarah P.
    Bates, David W.
    Phansalkar, Shobha
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2014, 29 : S21 - S21
  • [27] Design and Evaluation of Trust-Eliciting Cues in Drug-Drug Interaction Alerts
    Chattopadhyay, Debaleena
    Verma, Nitya
    Duke, Jon
    Bolchini, Davide
    INTERACTING WITH COMPUTERS, 2018, 30 (02) : 85 - 98
  • [28] Customizing clinical decision support to prevent excessive drug-drug interaction alerts
    Horn, John R.
    Hansten, Philip D.
    Osborn, Jacqueline D.
    Wareham, Pamela
    Somani, Shabir
    AMERICAN JOURNAL OF HEALTH-SYSTEM PHARMACY, 2011, 68 (08) : 662 - 664
  • [29] Prescribers' reported acceptance and use of drug-drug interaction alerts: An Australian survey
    Baysari, Melissa T.
    Van Dort, Bethany A.
    Zheng, Wu Yi
    Li, Ling
    Hilmer, Sarah
    Westbrook, Johanna
    Day, Richard
    HEALTH INFORMATICS JOURNAL, 2022, 28 (02)
  • [30] Structured override reasons for drug-drug interaction alerts in electronic health records
    Wright, Adam
    McEvoy, Dustin S.
    Aaron, Skye
    McCoy, Allison B.
    Amato, Mary G.
    Kim, Hyun
    Ai, Angela
    Cimino, James J.
    Desai, Bimal R.
    El-Kareh, Robert
    Galanter, William
    Longhurst, Christopher A.
    Malhotra, Sameer
    Radecki, Ryan P.
    Samal, Lipika
    Schreiber, Richard
    Shelov, Eric
    Sirajuddin, Anwar Mohammad
    Sittig, Dean F.
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (10) : 934 - 942