Subscribe to RSS
DOI: 10.1055/a-2394-4462
Successfully Transitioning an Interruptive Alert into a Noninterruptive Alert for Central Line Dressing Changes in the Neonatal Intensive Care Unit
Abstract
Background Interruptive alerts are known to be associated with clinician alert fatigue, and poorly performing alerts should be evaluated for alternative solutions. An interruptive alert to remind clinicians about a required peripherally inserted central catheter (PICC) dressing change within the first 48 hours after placement resulted in 617 firings in a 6-month period with only 11 (1.7%) actions taken from the alert.
Objectives This study aimed to enhance a poorly functioning interruptive alert by converting it to a noninterruptive alert aiming to improve compliance with the institutional PICC dressing change protocol. The primary outcome was to measure the percentage of initial PICC dressing changes that occurred beyond the recommended 48-hour timeframe after PICC placement. Secondary outcomes included measuring the time to first dressing change and, qualitatively, if this solution could replace the manual process of maintaining a physical list of patients.
Methods A clinical informatics team met with stakeholders to evaluate the clinical workflow and identified an additional need to track which patients qualified for dressing changes. A noninterruptive patient column clinical decision support (CDS) tool was created to replace an interruptive alert. A pre–postintervention mixed-methods cohort study was conducted between January 2022 and November 2022.
Results The number of patients with overdue PICC dressing changes decreased from 21.9% (40/183) to 7.8% (10/128) of eligible patients (p < 0.001), and mean time to first PICC dressing changes also significantly decreased from 40.8 to 30.7 hours (p = 0.02). There was a universal adoption of the CDS tool, and clinicians no longer used the manual patient list.
Conclusion While previous studies have reported that noninterruptive CDS may not be as effective as interruptive CDS, this case report demonstrates that developing a population-based CDS in the patient list column that provides an additional desired functionality to clinicians may result in improved adoption of CDS.
Keywords
clinical decision support - alert fatigue - noninterruptive alerts - neonatology - intensive careProtection of Human Subjects
The University of Iowa IRB determined this project to be non–human subject research.
Publication History
Received: 25 January 2024
Accepted: 18 August 2024
Accepted Manuscript online:
20 August 2024
Article published online:
13 November 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Agency for Healthcare Research and Quality. Eliminating CLABSI. A National Patient Safety Imperative: Final Report Companion Guide. January 2013 . Accessed August, 2023 at: https://www.ahrq.gov/hai/cusp/clabsi-final-companion/index.html
- 2 Gavin NC, Webster J, Chan RJ, Rickard CM. Frequency of dressing changes for central venous access devices on catheter-related infections. Cochrane Database Syst Rev 2016; 2 (02) CD009213
- 3 Tripathi S, McGarvey J, Lee K. et al. Compliance with central line maintenance bundle and infection rates. Pediatrics 2023; 152 (03) e2022059688
- 4 Pageler NM, Longhurst CA, Wood M. et al. Use of electronic medical record-enhanced checklist and electronic dashboard to decrease CLABSIs. Pediatrics 2014; 133 (03) e738-e746
- 5 Rabbani N, Pageler NM, Hoffman JM, Longhurst C, Sharek PJ. Association between electronic health record implementations and hospital-acquired conditions in pediatric hospitals. Appl Clin Inform 2023; 14 (03) 521-527
- 6 Davis CL, Bjoring M, Hursh J. et al. The intensive care unit bundle board: a novel real-time data visualization tool to improve maintenance care for invasive catheters. Appl Clin Inform 2023; 14 (05) 892-902
- 7 Chaparro JD, Beus JM, Dziorny AC. et al. Clinical decision support stewardship: Best practices and techniques to monitor and improve interruptive alerts. Appl Clin Inform 2022; 13 (03) 560-568
- 8 McGreevey III JD, Mallozzi CP, Perkins RM, Shelov E, Schreiber R. Reducing alert burden in electronic health records: state of the art recommendations from four health systems. Appl Clin Inform 2020; 11 (01) 1-12
- 9 Simpao AF, Ahumada LM, Desai BR. et al. Optimization of drug-drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard. J Am Med Inform Assoc 2015; 22 (02) 361-369
- 10 Pettit J, Wyckoff MM. Peripherally Inserted Central Catheters. Guideline for Practice, 2nd ed. National Association of Neonatal Nurses;; 2007: 44
- 11 Holden RJ, Carayon P. SEIPS 101 and seven simple SEIPS tools. BMJ Qual Saf 2021; 30 (11) 901-910
- 12 Trinkley KE, Blakeslee WW, Matlock DD. et al. Clinician preferences for computerised clinical decision support for medications in primary care: a focus group study. BMJ Health Care Inform 2019;26(01):0
- 13 Pevnick JM, Li X, Grein J, Bell DS, Silka P. A retrospective analysis of interruptive versus non-interruptive clinical decision support for identification of patients needing contact isolation. Appl Clin Inform 2013; 4 (04) 569-582
- 14 Blecker S, Pandya R, Stork S. et al. Interruptive versus noninterruptive clinical decision support: Usability study. JMIR Hum Factors 2019; 6 (02) e12469
- 15 Steitz BD, Li G, Wright A, Dunworth B, Freundlich RE, Wanderer JP. Non-interruptive clinical decision support to improve perioperative electronic positive patient identification. J Med Syst 2022; 46 (03) 15