Literature DB >> 31206159

Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review.

Mustafa I Hussain1, Tera L Reynolds1, Kai Zheng1.   

Abstract

OBJECTIVE: Alert fatigue limits the effectiveness of medication safety alerts, a type of computerized clinical decision support (CDS). Researchers have suggested alternative interactive designs, as well as tailoring alerts to clinical roles. As examples, alerts may be tiered to convey risk, and certain alerts may be sent to pharmacists. We aimed to evaluate which variants elicit less alert fatigue.
MATERIALS AND METHODS: We searched for articles published between 2007 and 2017 using the PubMed, Embase, CINAHL, and Cochrane databases. We included articles documenting peer-reviewed empirical research that described the interactive design of a CDS system, to which clinical role it was presented, and how often prescribers accepted the resultant advice. Next, we compared the acceptance rates of conventional CDS-presenting prescribers with interruptive modal dialogs (ie, "pop-ups")-with alternative designs, such as role-tailored alerts.
RESULTS: Of 1011 articles returned by the search, we included 39. We found different methods for measuring acceptance rates; these produced incomparable results. The most common type of CDS-in which modals interrupted prescribers-was accepted the least often. Tiering by risk, providing shortcuts for common corrections, requiring a reason to override, and tailoring CDS to match the roles of pharmacists and prescribers were the most common alternatives. Only 1 alternative appeared to increase prescriber acceptance: role tailoring. Possible reasons include the importance of etiquette in delivering advice, the cognitive benefits of delegation, and the difficulties of computing "relevance."
CONCLUSIONS: Alert fatigue may be mitigated by redesigning the interactive behavior of CDS and tailoring CDS to clinical roles. Further research is needed to develop alternative designs, and to standardize measurement methods to enable meta-analyses.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  alert fatigue; clinical; decision support systems; decision support techniques; electronic prescribing; medical order entry systems

Mesh:

Year:  2019        PMID: 31206159      PMCID: PMC6748819          DOI: 10.1093/jamia/ocz095

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  64 in total

1.  Provider variation in responses to warnings: do the same providers run stop signs repeatedly?

Authors:  Patrick E Beeler; E John Orav; Diane L Seger; Patricia C Dykes; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2015-10-24       Impact factor: 4.497

2.  Geographic variation in drug safety: potentially unsafe prescribing of medications and prescriber responsiveness to safety alerts.

Authors:  Richard A Feifer; Jason M James
Journal:  J Manag Care Pharm       Date:  2010-04

3.  Overriding of drug safety alerts in computerized physician order entry.

Authors:  Heleen van der Sijs; Jos Aarts; Arnold Vulto; Marc Berg
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

4.  Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system.

Authors:  Yong Y Han; Joseph A Carcillo; Shekhar T Venkataraman; Robert S B Clark; R Scott Watson; Trung C Nguyen; Hülya Bayir; Richard A Orr
Journal:  Pediatrics       Date:  2005-12       Impact factor: 7.124

5.  Understanding handling of drug safety alerts: a simulation study.

Authors:  Heleen van der Sijs; Teun van Gelder; Arnold Vulto; Marc Berg; Jos Aarts
Journal:  Int J Med Inform       Date:  2010-02-19       Impact factor: 4.046

6.  Pilot evaluation of an optimized context-specific drug-drug interaction alerting system: A controlled pre-post study.

Authors:  Pieter Cornu; Stephane Steurbaut; Kristof Gentens; Rudi Van de Velde; Alain G Dupont
Journal:  Int J Med Inform       Date:  2015-05-22       Impact factor: 4.046

7.  Prescription errors before and after introduction of electronic medication alert system in a pediatric emergency department.

Authors:  Usha Sethuraman; Nirupama Kannikeswaran; Kyle P Murray; Marwan A Zidan; James M Chamberlain
Journal:  Acad Emerg Med       Date:  2015-05-21       Impact factor: 3.451

Review 8.  Design of decision support interventions for medication prescribing.

Authors:  Jan Horsky; Shobha Phansalkar; Amrita Desai; Douglas Bell; Blackford Middleton
Journal:  Int J Med Inform       Date:  2013-03-13       Impact factor: 4.046

Review 9.  A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care.

Authors:  Clare L Brown; Helen L Mulcaster; Katherine L Triffitt; Dean F Sittig; Joan S Ash; Katie Reygate; Andrew K Husband; David W Bates; Sarah P Slight
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

10.  High Override Rate for Opioid Drug-allergy Interaction Alerts: Current Trends and Recommendations for Future.

Authors:  Maxim Topaz; Diane L Seger; Kenneth Lai; Paige G Wickner; Foster Goss; Neil Dhopeshwarkar; Frank Chang; David W Bates; Li Zhou
Journal:  Stud Health Technol Inform       Date:  2015
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  25 in total

1.  High-priority drug-drug interaction clinical decision support overrides in a newly implemented commercial computerized provider order-entry system: Override appropriateness and adverse drug events.

Authors:  Heba Edrees; Mary G Amato; Adrian Wong; Diane L Seger; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

2.  Need for innovation in electronic health record-based medication alerts.

Authors:  Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

3.  Interventions to Reduce Pediatric Prescribing Errors in Professional Healthcare Settings: A Systematic Review of the Last Decade.

Authors:  Joachim A Koeck; Nicola J Young; Udo Kontny; Thorsten Orlikowsky; Dirk Bassler; Albrecht Eisert
Journal:  Paediatr Drugs       Date:  2021-05-07       Impact factor: 3.022

Review 4.  Modulators Influencing Medication Alert Acceptance: An Explorative Review.

Authors:  Janina A Bittmann; Walter E Haefeli; Hanna M Seidling
Journal:  Appl Clin Inform       Date:  2022-08-18       Impact factor: 2.762

5.  Appropriateness of Alerts and Physicians' Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study.

Authors:  Hyunjung Park; Won Chul Cha; Minjung Kathy Chae; Woohyeon Jeong; Jaeyong Yu; Weon Jung; Hansol Chang
Journal:  JMIR Med Inform       Date:  2022-10-04

6.  An exploration of expectations and perceptions of practicing physicians on the implementation of computerized clinical decision support systems using a Qsort approach.

Authors:  Wim Van Biesen; Daan Van Cauwenberge; Johan Decruyenaere; Tamara Leune; Sigrid Sterckx
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-16       Impact factor: 3.298

7.  Improving the specificity of drug-drug interaction alerts: Can it be done?

Authors:  Thomas Reese; Adam Wright; Siru Liu; Richard Boyce; Andrew Romero; Guilherme Del Fiol; Kensaku Kawamoto; Daniel Malone
Journal:  Am J Health Syst Pharm       Date:  2022-06-23       Impact factor: 2.980

8.  How the presentation of patient information and decision-support advisories influences opioid prescribing behavior: A simulation study.

Authors:  Mustafa I Hussain; Ariana M Nelson; Brent G Yeung; Lauren Sukumar; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

9.  Reducing Alert Burden in Electronic Health Records: State of the Art Recommendations from Four Health Systems.

Authors:  John D McGreevey; Colleen P Mallozzi; Randa M Perkins; Eric Shelov; Richard Schreiber
Journal:  Appl Clin Inform       Date:  2020-01-01       Impact factor: 2.342

10.  Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?

Authors:  Yunfeng Shi; Alejandro Amill-Rosario; Robert S Rudin; Shira H Fischer; Paul Shekelle; Dennis P Scanlon; Cheryl L Damberg
Journal:  J Am Med Inform Assoc       Date:  2021-07-30       Impact factor: 4.497

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