Literature DB >> 32620948

The tradeoffs between safety and alert fatigue: Data from a national evaluation of hospital medication-related clinical decision support.

Zoe Co1, A Jay Holmgren2, David C Classen3, Lisa Newmark4, Diane L Seger4, Melissa Danforth5, David W Bates1,4,6.   

Abstract

OBJECTIVE: The study sought to evaluate the overall performance of hospitals that used the Computerized Physician Order Entry Evaluation Tool in both 2017 and 2018, along with their performance against fatal orders and nuisance orders.
MATERIALS AND METHODS: We evaluated 1599 hospitals that took the test in both 2017 and 2018 by using their overall percentage scores on the test, along with the percentage of fatal orders appropriately alerted on, and the percentage of nuisance orders incorrectly alerted on.
RESULTS: Hospitals showed overall improvement; the mean score in 2017 was 58.1%, and this increased to 66.2% in 2018. Fatal order performance improved slightly from 78.8% to 83.0% (P < .001), though there was almost no change in nuisance order performance (89.0% to 89.7%; P = .43). Hospitals alerting on one or more nuisance orders had a 3-percentage-point increase in their overall score. DISCUSSION: Despite the improvement of overall scores in 2017 and 2018, there was little improvement in fatal order performance, suggesting that hospitals are not targeting the deadliest orders first. Nuisance order performance showed almost no improvement, and some hospitals may be achieving higher scores by overalerting, suggesting that the thresholds for which alerts are fired from are too low.
CONCLUSIONS: Although hospitals improved overall from 2017 to 2018, there is still important room for improvement for both fatal and nuisance orders. Hospitals that incorrectly alerted on one or more nuisance orders had slightly higher overall performance, suggesting that some hospitals may be achieving higher scores at the cost of overalerting, which has the potential to cause clinician burnout and even worsen safety.
© The Author(s) 2020. 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:  burnout; computerized physician order entry; electronic health record; patient safety; quality of care

Mesh:

Year:  2020        PMID: 32620948      PMCID: PMC7647300          DOI: 10.1093/jamia/ocaa098

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


  22 in total

1.  Development of the Leapfrog methodology for evaluating hospital implemented inpatient computerized physician order entry systems.

Authors:  P M Kilbridge; E M Welebob; D C Classen
Journal:  Qual Saf Health Care       Date:  2006-04

2.  The extent and importance of unintended consequences related to computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Eric G Poon; Kenneth Guappone; Emily Campbell; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

3.  HITECH Act Drove Large Gains In Hospital Electronic Health Record Adoption.

Authors:  Julia Adler-Milstein; Ashish K Jha
Journal:  Health Aff (Millwood)       Date:  2017-08-01       Impact factor: 6.301

Review 4.  Clinical alarm hazards: a "top ten" health technology safety concern.

Authors:  James P Keller
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Review 5.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

6.  Electronic Health Record Alert-Related Workload as a Predictor of Burnout in Primary Care Providers.

Authors:  Megan E Gregory; Elise Russo; Hardeep Singh
Journal:  Appl Clin Inform       Date:  2017-07-05       Impact factor: 2.342

7.  Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.

Authors:  D W Bates; L L Leape; D J Cullen; N Laird; L A Petersen; J M Teich; E Burdick; M Hickey; S Kleefield; B Shea; M Vander Vliet; D L Seger
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

8.  Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide.

Authors:  Julia Adler-Milstein; A Jay Holmgren; Peter Kralovec; Chantal Worzala; Talisha Searcy; Vaishali Patel
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

9.  Computerised physician order entry-related medication errors: analysis of reported errors and vulnerability testing of current systems.

Authors:  G D Schiff; M G Amato; T Eguale; J J Boehne; A Wright; R Koppel; A H Rashidee; R B Elson; D L Whitney; T-T Thach; D W Bates; A C Seger
Journal:  BMJ Qual Saf       Date:  2015-01-16       Impact factor: 7.035

10.  Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.

Authors:  Jessica S Ancker; Alison Edwards; Sarah Nosal; Diane Hauser; Elizabeth Mauer; Rainu Kaushal
Journal:  BMC Med Inform Decis Mak       Date:  2017-04-10       Impact factor: 2.796

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4.  The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned.

Authors:  Zoe Co; A Jay Holmgren; David C Classen; Lisa P Newmark; Diane L Seger; Jessica M Cole; Barbara Pon; Karen P Zimmer; David W Bates
Journal:  Appl Clin Inform       Date:  2021-03-03       Impact factor: 2.342

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Authors:  A Jay Holmgren; David W Bates
Journal:  JAMA Netw Open       Date:  2021-09-01

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