Literature DB >> 33113568

Development of a Taxonomy for Medication-Related Patient Safety Events Related to Health Information Technology in Pediatrics.

Kirk D Wyatt1, Tyler J Benning2, Timothy I Morgenthaler3, Grace M Arteaga4.   

Abstract

BACKGROUND: Although electronic health records (EHRs) are designed to improve patient safety, they have been associated with serious patient harm. An agreed-upon and standard taxonomy for classifying health information technology (HIT) related patient safety events does not exist.
OBJECTIVES: We aimed to develop and evaluate a taxonomy for medication-related patient safety events associated with HIT and validate it using a set of events involving pediatric patients.
METHODS: We performed a literature search to identify existing classifications for HIT-related safety events, which were assessed using real-world pediatric medication-related patient safety events extracted from two sources: patient safety event reporting system (ERS) reports and information technology help desk (HD) tickets. A team of clinical and patient safety experts used iterative tests of change and consensus building to converge on a single taxonomy. The final devised taxonomy was applied to pediatric medication-related events assess its characteristics, including interrater reliability and agreement.
RESULTS: Literature review identified four existing classifications for HIT-related patient safety events, and one was iteratively adapted to converge on a singular taxonomy. Safety events relating to usability accounted for a greater proportion of ERS reports, compared with HD tickets (37 vs. 20%, p = 0.022). Conversely, events pertaining to incorrect configuration accounted for a greater proportion of HD tickets, compared with ERS reports (63 vs. 8%, p < 0.01). Interrater agreement (%) and reliability (kappa) were 87.8% and 0.688 for ERS reports and 73.6% and 0.556 for HD tickets, respectively. DISCUSSION: A standardized taxonomy for medication-related patient safety events related to HIT is presented. The taxonomy was validated using pediatric events. Further evaluation can assess whether the taxonomy is suitable for nonmedication-related events and those occurring in other patient populations.
CONCLUSION: Wider application of standardized taxonomies will allow for peer benchmarking and facilitate collaborative interinstitutional patient safety improvement efforts. Thieme. All rights reserved.

Entities:  

Year:  2020        PMID: 33113568      PMCID: PMC7593115          DOI: 10.1055/s-0040-1717084

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  40 in total

1.  Feasibility of Electronic Health Record-Based Triggers in Detecting Dental Adverse Events.

Authors:  Elsbeth Kalenderian; Enihomo Obadan-Udoh; Alfa Yansane; Karla Kent; Nutan B Hebballi; Veronique Delattre; Krisna Kumar Kookal; Oluwabunmi Tokede; Joel White; Muhammad F Walji
Journal:  Appl Clin Inform       Date:  2018-08-22       Impact factor: 2.342

2.  Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.

Authors:  Julian Varghese; Maren Kleine; Sophia Isabella Gessner; Sarah Sandmann; Martin Dugas
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

3.  Patient safety goals for the proposed Federal Health Information Technology Safety Center.

Authors:  Dean F Sittig; David C Classen; Hardeep Singh
Journal:  J Am Med Inform Assoc       Date:  2014-10-20       Impact factor: 4.497

4.  Developing and Evaluating an Automated All-Cause Harm Trigger System.

Authors:  Christine Sammer; Susanne Miller; Cason Jones; Antoinette Nelson; Paul Garrett; David Classen; David Stockwell
Journal:  Jt Comm J Qual Patient Saf       Date:  2017-02-16

5.  Defining health information technology-related errors: new developments since to err is human.

Authors:  Dean F Sittig; Hardeep Singh
Journal:  Arch Intern Med       Date:  2011-07-25

Review 6.  Pediatric collaborative networks for quality improvement and research.

Authors:  Carole M Lannon; Laura E Peterson
Journal:  Acad Pediatr       Date:  2013 Nov-Dec       Impact factor: 3.107

Review 7.  Classifying health information technology patient safety related incidents - an approach used in Wales.

Authors:  D Warm; P Edwards
Journal:  Appl Clin Inform       Date:  2012-06-27       Impact factor: 2.342

8.  Toward safer health care: a review strategy of FDA medical device adverse event database to identify and categorize health information technology related events.

Authors:  Hong Kang; Ju Wang; Bin Yao; Sicheng Zhou; Yang Gong
Journal:  JAMIA Open       Date:  2018-10-12

9.  Improving drug safety in hospitals: a retrospective study on the potential of adverse drug events coded in routine data.

Authors:  Nils Kuklik; Jürgen Stausberg; Marjan Amiri; Karl-Heinz Jöckel
Journal:  BMC Health Serv Res       Date:  2019-08-08       Impact factor: 2.655

Review 10.  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

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