Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals

被引:4
作者
Alsaidan, Jamilah Ahmed [1 ]
Portlock, Jane [2 ]
Ata, Sondus, I [3 ]
Aljadhey, Hisham S. [4 ]
Franklin, Bryony Dean [5 ]
机构
[1] King Saud Univ, Riyadh, Saudi Arabia
[2] Univ Sussex, Sch Life Sci, Brighton, E Sussex, England
[3] King Saud Univ Med City, Dept Pharm Serv, Riyadh, Saudi Arabia
[4] Saudi Food & Drug Author, Riyadh, Saudi Arabia
[5] UCL, UCL Sch Pharm, London, England
关键词
Decision support systems; Clinical (MeSH); Computerised provider order systems (MeSH); Medication error (MeSH); Medication alert systems (MeSH); PHYSICIAN ORDER ENTRY; APPROPRIATENESS; OVERRIDES; SAFETY;
D O I
10.1186/s12911-022-01838-1
中图分类号
R-058 [];
学科分类号
摘要
Objectives To determine the frequency of clinical decision support system (CDSS) medication-related alerts generated, accepted, or overridden, to assess appropriateness of alert display and overrides, and to characterise the documentation of clinician justification for these overrides in an academic medical centre in Saudi Arabia. Materials and methods System-generated CDSS reports for the period June 2015 to December 2017 were retrospectively reviewed and analysed. Alerts were classified into different types, and rates of alert overrides calculated as percentages of all generated alerts. A subset of 307 overridden alerts was assessed for appropriateness of display and override by two clinical pharmacists. Physician documentation of reasons for overriding alerts were categorised. Results A total of 4,446,730 medication-related alerts were generated from both inpatient and outpatient settings, and 4,231,743 (95.2%) were overridden. The most common alert type was 'duplicate drug', accounting for 3,549,736 (79.8%) of alerts. Of 307 alerts assessed for appropriateness, 246 (80%) were judged to be appropriately displayed and 244 (79%) were overridden appropriately. New drug allergy and drug allergy alerts had the highest percentage of being judged as inappropriately overridden. For 1,594,313 alerts (37.7%), 'no overridden reason selected' was chosen from the drop-down menu. Conclusions The alert generation and override rate were higher than reported previously in the literature. The small sample size of 307 alerts assessed for appropriateness of alert display and override is a potential limitation. Revision of the CDSS rules for alerts (focusing on specificity and relevance for the local context) is now recommended. Future research should prospectively assess providers' perspectives, and determine patient harm associated with overridden alerts.
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相关论文
共 31 条
[1]   Impact of the e-prescribing system on the incidence and nature of drug-related problems in children in a Saudi hospital [J].
AlAzmi, Aeshah A. ;
AlHamdan, Hani ;
Ahmed, Omaima ;
Tomlin, Stephen ;
Rashed, Asia N. .
INTERNATIONAL JOURNAL OF PHARMACY PRACTICE, 2019, 27 (06) :578-581
[2]  
Altman D.G., 2000, statistics with confidence, P240
[3]  
Aparasu RR., 2011, Research Methods for Pharmaceutical Practice and Policy
[4]  
Bates D W, 1994, Qual Manag Health Care, V2, P18
[5]   Alert override as a habitual behavior - a new perspective on a persistent problem [J].
Baysari, Melissa T. ;
Tariq, Amina ;
Day, Richard O. ;
Westbrook, Johanna I. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2017, 24 (02) :409-412
[6]   Mixed methods study of medication-related decision support alerts experienced during electronic prescribing for inpatients at an English hospital [J].
Bell, Helen ;
Garfield, Sara ;
Khosla, Sonia ;
Patel, Chimnay ;
Franklin, Bryony Dean .
EUROPEAN JOURNAL OF HOSPITAL PHARMACY, 2019, 26 (06) :318-322
[7]   Increased appropriateness of customized alert acknowledgement reasons for overridden medication alerts in a computerized provider order entry system [J].
Dekarske, Brian M. ;
Zimmerman, Christopher R. ;
Chang, Robert ;
Grant, Paul J. ;
Chaffee, Bruce W. .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2015, 84 (12) :1085-1093
[8]   How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis [J].
Gates, Peter J. ;
Hardie, Rae-Anne ;
Raban, Magdalena Z. ;
Li, Ling ;
Westbrook, Johanna, I .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2021, 28 (01) :167-176
[9]  
Grissinger Matthew, 2016, P T, V41, P82
[10]  
JANI Y., 2008, Electronic prescribing in children (EPIC)