Intelligent checklists improve checklist compliance in the intensive care unit: a prospective before-and-after mixed-method study

Ashley J.R. de Bie (Corresponding author), Eveline Mestrom, Wilma Compagner, Shan Nan, Lenneke van Genugten, Kiran Dellimore, Jacco Eerden, Steffen van Leeuwen, Harald van de Pol, Franklin Schuling, Xudong Lu, Alexander J.G.H. Bindels, Arthur R.A. Bouwman, Erik H.H.M. Korsten

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)

Abstract

Background: We examined whether a context and process-sensitive ‘intelligent’ checklist increases compliance with best practice compared with a paper checklist during intensive care ward rounds. Methods: We conducted a single-centre prospective before-and-after mixed-method trial in a 35 bed medical and surgical ICU. Daily ICU ward rounds were observed during two periods of 8 weeks. We compared paper checklists (control) with a dynamic (digital) clinical checklist (DCC, intervention). The primary outcome was compliance with best clinical practice, measured as the percentages of checked items and unchecked critical items. Secondary outcomes included ICU stay and the usability of digital checklists. Data are presented as median (interquartile range). Results: Clinical characteristics and severity of critical illness were similar during both control and intervention periods of study. A total of 36 clinicians visited 197 patients during 352 ward rounds using the paper checklist, compared with 211 patients during 366 ward rounds using the DCC. Per ICU round, a median of 100% of items (94.4–100.0) were completed by DCC, compared with 75.1% (66.7–86.4) by paper checklist (P=0.03). No critical items remained unchecked by the DCC, compared with 15.4% (8.3–27.3) by the paper checklist (P=0.01). The DCC was associated with reduced ICU stay (1 day [1–3]), compared with the paper checklist (2 days [1–4]; P=0.05). Usability of the DCC was judged by clinicians to require further improvement. Conclusions: A digital checklist improved compliance with best clinical practice, compared with a paper checklist, during ward rounds on a mixed ICU. Clinical trial registration: NCT 03599856.

Original languageEnglish
Pages (from-to)404-414
Number of pages11
JournalBritish Journal of Anaesthesia
Volume126
Issue number2
DOIs
Publication statusPublished - Feb 2021

Funding

None of the authors have a financial interest or personal financial gain in TraceBook. RAB and HHMK have acted as clinical consultants for Philips Research in Eindhoven, the Netherlands, since January 2016. RAB received travel support from CSL Behring to visit NATA 2015. ADB, AJGHB, SN, and HHMK received travel funding for a lecture in China from a local research fund of the Catharina Hospital Eindhoven and the Brain Bridge project, a collaboration of Zhejiang University, Eindhoven University of Technology and Philips Research. The PhD research of SN to create TraceBook was funded by the Brain Bridge Project, and the PhD research of ADB to clinically evaluate TraceBook was funded by IMPULS-2. IMPULS-2 is a project that provides funding for PhD research in which engineers and physicians collaborate. The project is a collaboration of the Catharina Hospital in Eindhoven, Technical University of Eindhoven, and Philips Research of the Netherlands. LVG, KD, JE, SVL, FS are all employees of Philips Research and this study was conducted as part of their regular work. They declare that appropriate measures were undertaken to prevent bias and that this study was done for the purpose of generating scientific knowledge. EM, WC, HVDP, and XL declare that they have no conflicts of interest.

Keywords

  • checklist
  • clinical decision support system
  • intensive care unit
  • medical errors
  • patient safety
  • technology acceptance
  • Prospective Studies
  • Humans
  • Practice Patterns, Physicians'/standards
  • Decision Support Systems, Clinical
  • Quality Indicators, Health Care/standards
  • Benchmarking/standards
  • Attitude to Computers
  • Patient Safety
  • Critical Care/standards
  • Length of Stay
  • Quality Improvement/standards
  • Artificial Intelligence
  • Teaching Rounds/standards
  • Intensive Care Units/standards
  • Checklist
  • Guideline Adherence/standards
  • Paper
  • Practice Guidelines as Topic/standards
  • Health Status

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