Literature DB >> 20798069

Identifying causes of adverse events detected by an automated trigger tool through in-depth analysis.

S E Muething1, P H Conway, E Kloppenborg, A Lesko, P J Schoettker, M Seid, U Kotagal.   

Abstract

OBJECTIVES: To describe how in-depth analysis of adverse events can reveal underlying causes.
METHODS: Triggers for adverse events were developed using the hospital's computerised medical record (naloxone for opiate-related oversedation and administration of a glucose bolus while on insulin for insulin-related hypoglycaemia). Triggers were identified daily. Based on information from the medical record and interviews, a subject expert determined if an adverse drug event had occurred and then conducted a real-time analysis to identify event characteristics. Expert groups, consisting of frontline staff and specialist physicians, examined event characteristics and determined the apparent cause.
RESULTS: 30 insulin-related hypoglycaemia events and 34 opiate-related oversedation events were identified by the triggers over 16 and 21 months, respectively. In the opinion of the experts, patients receiving continuous-infusion insulin and those receiving dextrose only via parenteral nutrition were at increased risk for insulin-related hypoglycaemia. Lack of standardisation in insulin-dosing decisions and variation regarding when and how much to adjust insulin doses in response to changing glucose levels were identified as common causes of the adverse events. Opiate-related oversedation events often occurred within 48 h of surgery. Variation in pain management in the operating room and post-anaesthesia care unit was identified by the experts as potential causes. Variations in practice, multiple services writing orders, multidrug regimens and variations in interpretation of patient assessments were also noted as potential contributing causes.
CONCLUSIONS: Identification of adverse drug events through an automated trigger system, supplemented by in-depth analysis, can help identify targets for intervention and improvement.

Entities:  

Mesh:

Year:  2010        PMID: 20798069     DOI: 10.1136/qshc.2008.031393

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  13 in total

1.  Improvement in the detection of adverse drug events by the use of electronic health and prescription records: an evaluation of two trigger tools.

Authors:  Ugochi Nwulu; Krishnarajah Nirantharakumar; Rachel Odesanya; Sarah E McDowell; Jamie J Coleman
Journal:  Eur J Clin Pharmacol       Date:  2012-06-17       Impact factor: 2.953

2.  Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm.

Authors:  E S Kirkendall; W L Spires; T A Mottes; J K Schaffzin; C Barclay; S L Goldstein
Journal:  Appl Clin Inform       Date:  2014-04-02       Impact factor: 2.342

3.  Quality improvement initiative to reduce serious safety events and improve patient safety culture.

Authors:  Stephen E Muething; Anthony Goudie; Pamela J Schoettker; Lane F Donnelly; Martha A Goodfriend; Tracey M Bracke; Patrick W Brady; Derek S Wheeler; James M Anderson; Uma R Kotagal
Journal:  Pediatrics       Date:  2012-07-16       Impact factor: 7.124

4.  Development and Validation of Electronic Health Record-based Triggers to Detect Delays in Follow-up of Abnormal Lung Imaging Findings.

Authors:  Daniel R Murphy; Eric J Thomas; Ashley N D Meyer; Hardeep Singh
Journal:  Radiology       Date:  2015-05-11       Impact factor: 11.105

5.  Evaluation of accuracy of IHI Trigger Tool in identifying adverse drug events: a prospective observational study.

Authors:  Maria das Dores Graciano Silva; Maria Auxiliadora Parreiras Martins; Luciana de Gouvêa Viana; Luiz Guilherme Passaglia; Renata Rezende de Menezes; João Antonio de Queiroz Oliveira; Jose Luiz Padilha da Silva; Antonio Luiz Pinho Ribeiro
Journal:  Br J Clin Pharmacol       Date:  2018-07-08       Impact factor: 4.335

6.  Automated detection of medication administration errors in neonatal intensive care.

Authors:  Qi Li; Eric S Kirkendall; Eric S Hall; Yizhao Ni; Todd Lingren; Megan Kaiser; Nataline Lingren; Haijun Zhai; Imre Solti; Kristin Melton
Journal:  J Biomed Inform       Date:  2015-07-17       Impact factor: 6.317

7.  Communication breakdowns and diagnostic errors: a radiology perspective.

Authors:  Daniel R Murphy; Hardeep Singh; Leonard Berlin
Journal:  Diagnosis (Berl)       Date:  2014-08-19

8.  Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care.

Authors:  Qi Li; Kristin Melton; Todd Lingren; Eric S Kirkendall; Eric Hall; Haijun Zhai; Yizhao Ni; Megan Kaiser; Laura Stoutenborough; Imre Solti
Journal:  J Am Med Inform Assoc       Date:  2014-01-08       Impact factor: 4.497

9.  Mining FDA drug labels for medical conditions.

Authors:  Qi Li; Louise Deleger; Todd Lingren; Haijun Zhai; Megan Kaiser; Laura Stoutenborough; Anil G Jegga; Kevin Bretonnel Cohen; Imre Solti
Journal:  BMC Med Inform Decis Mak       Date:  2013-04-24       Impact factor: 2.796

10.  Prevalence and severity of patient harm in a sample of UK-hospitalised children detected by the Paediatric Trigger Tool.

Authors:  Susan M Chapman; John Fitzsimons; Nicola Davey; Peter Lachman
Journal:  BMJ Open       Date:  2014-07-03       Impact factor: 2.692

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