The Acceptance of Interruptive Medication Alerts in an Electronic Decision Support System Differs between Different Alert Types

被引:1
|
作者
Bittmann, Janina A. [1 ,2 ]
Rein, Elisabeth K. [1 ,2 ]
Metzner, Michael [2 ]
Haefeli, Walter E. [1 ,2 ]
Seidling, Hanna M. [1 ,2 ]
机构
[1] Heidelberg Univ Hosp, Cooperat Unit Clin Pharm, Heidelberg, Germany
[2] Heidelberg Univ Hosp, Dept Clin Pharmacol & Pharmacoepidemiol, Heidelberg, Germany
关键词
clinical decision support system (CDSS); drug-drug interactions; medication alert system; alert acceptance; adverse drug events; interruptive alerts; Alerting (Alert fatigue); ORDER ENTRY; IMPACT;
D O I
10.1055/s-0041-1735169
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background Through targeted medication alerts, clinical decision support systems (CDSS) help users to identify medication errors such as disregarded drug-drug interactions (DDIs). Override rates of such alerts are high; however, they can be mitigated by alert tailoring or workflow-interrupting display of severe alerts that need active user acceptance or overriding. Yet, the extent to which the displayed alert interferes with the prescribers' workflow showed inconclusive impact on alert acceptance. Objectives We aimed to assess whether and how often prescriptions were changed as a potential result of interruptive alerts on different (contraindicated) prescription constellations with particularly high risks for adverse drug events (ADEs). Methods We retrospectively collected data of all interruptive alerts issued between March 2016 and August 2020 in the local CDSS (AiD Klinik ) at Heidelberg University Hospital. The alert battery consisted of 31 distinct alerts for contraindicated DDI with simvastatin, potentially inappropriate medication for patients > 65 years (PIM, N =14 drugs and 36 drug combinations), and contraindicated drugs in hyperkalemia ( N =5) that could be accepted or overridden giving a reason in free-text form. Results In 935 prescribing sessions of 500 274 total sessions, at least one interruptive alert was fired. Of all interruptive alerts, about half of the sessions were evaluable whereof in total 57.5% (269 of 468 sessions) were accepted while 42.5% were overridden. The acceptance rate of interruptive alerts differed significantly depending on the alert type ( p <0.0001), reaching 85.7% for DDI alerts ( N =185), 65.3% for contraindicated drugs in hyperkalemia ( N =98), and 25.1% for PIM alerts ( N =185). Conclusion A total of 57.5% of the interruptive medication alerts with particularly high risks for ADE in our setting were accepted while the acceptance rate differed according to the alert type with contraindicated simvastatin DDI alerts being accepted most frequently.
引用
收藏
页码:180 / 184
页数:4
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共 37 条
  • [31] Distinguishing between common cause variation and special cause variation in a manufacturing system: A simulation of decision making for different types of variation
    Lei, Xue
    MacKenzie, Cameron A.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2020, 220
  • [32] Impact of the Goal-directed Medication Review Electronic Decision Support System on Drug Burden Index: A cluster-randomised clinical trial in primary care
    Kouladjian O'Donnell, Lisa
    Gnjidic, Danijela
    Sawan, Mouna
    Reeve, Emily
    Kelly, Patrick J.
    Chen, Timothy F.
    Bell, J. Simon
    Hilmer, Sarah N.
    [J]. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2021, 87 (03) : 1499 - 1511
  • [33] Clinical and Demographical Characteristics of Patients with Medication Overuse Headache in Argentina and Chile: Analysis of Latin American Section of COMOESTAS Project (Continuous Monitoring of Medication Overuse Headache in Europe and Latin America: Development and Standardization of an Alert and Decision Support System)
    Goicochea, M. T.
    Shand, B.
    Fadic, R.
    Valenzuela, R.
    Leston, J. A.
    [J]. CEPHALALGIA, 2013, 33 (S8) : 41 - 41
  • [34] Correction to: Implementation of the goal-directed medication review electronic decision support system (G-MEDSS)© into home medicines review: a protocol for a clusterrandomised clinical trial in older adults
    Lisa Kouladjian O’Donnell
    Mouna Sawan
    Emily Reeve
    Danijela Gnjidic
    Timothy F. Chen
    Patrick J. Kelly
    J. Simon Bell
    Sarah N. Hilmer
    [J]. BMC Geriatrics, 20
  • [35] Implementation of the Goal-directed Medication review Electronic Decision Support System (G-MEDSS)© into home medicines review: a protocol for a cluster-randomised clinical trial in older adults
    Kouladjian O'Donnell, Lisa
    Sawan, Mouna
    Reeve, Emily
    Gnjidic, Danijela
    Chen, Timothy F.
    Kelly, Patrick J.
    Bell, Simon J.
    Hilmer, Sarah N.
    [J]. BMC GERIATRICS, 2020, 20 (01)
  • [36] Implementation of the Goal-directed Medication review Electronic Decision Support System (G-MEDSS)© into home medicines review: a protocol for a cluster-randomised clinical trial in older adults
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    Mouna Sawan
    Emily Reeve
    Danijela Gnjidic
    Timothy F. Chen
    Patrick J. Kelly
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    Sarah N. Hilmer
    [J]. BMC Geriatrics, 20
  • [37] Implementation of the goal-directed medication review electronic decision support system (G-MEDSS)© into home medicines review: a protocol for a cluster randomised clinical trial in older adults (vol 20, 51, 2020)
    O'Donnell, Lisa Kouladjian
    Sawan, Mouna
    Reeve, Emily
    Gnjidic, Danijela
    Chen, Timothy F.
    Kelly, Patrick J.
    Bell, J. Simon
    Hilmer, Sarah N.
    [J]. BMC GERIATRICS, 2020, 20 (01)