4.5 Article

The Haemostasis Traffic Light, a user-centred coagulation management tool for acute bleeding situations: a simulation-based randomised dual-centre trial

期刊

ANAESTHESIA
卷 76, 期 7, 页码 902-910

出版社

WILEY
DOI: 10.1111/anae.15314

关键词

coagulation management; cognitive aid; decision‐ making; human factors

资金

  1. Swiss National Science Foundation, Berne, Switzerland
  2. Swiss Society of Anaesthesiology and Reanimation (SGAR), Berne, Switzerland
  3. Swiss Foundation for Anaesthesia Research, Zurich, Switzerland
  4. Vifor SA, Villars-sur-Glane, Switzerland
  5. Novo Nordisk Health Care AG, Zurich, Switzerland
  6. CSL Behring GmbH, Marburg, Germany
  7. LFB Biomedicaments, Courtaboeuf Cedex, France
  8. Octapharma AG, Lachen, Switzerland

向作者/读者索取更多资源

The study validated the effectiveness of the user-centred design Haemostasis Traffic Light algorithm in peri-operative bleeding management, enabling more accurate resolution of bleeding cases and speeding up therapeutic decisions, while also enhancing confidence in treatment and reducing perceived workload.
The Haemostasis Traffic Light is a cognitive aid with a user-centred design to enhance and simplify situation awareness and decision-making during peri-operative bleeding. Its structure helps to prioritise therapeutic interventions according to the pathophysiology and the severity of the bleeding. This investigator-initiated, randomised, prospective, international, dual-centre study aimed to validate the Haemostasis Traffic Light by adapting it to the local coagulation protocols of two university hospitals. Between 9 January and 12 May 2020, we recruited 84 participants at the University Hospital Zurich, Switzerland, and the Italian Hospital of Buenos Aires, Argentina. Each centre included 21 resident and 21 staff anaesthetists. Participants were randomly allocated to either the text-based algorithm or the Haemostasis Traffic Light. All participants managed six bleeding scenarios using the same algorithm. In simulated bleeding scenarios, the design of the Haemostasis Traffic Light algorithm enabled more correctly solved cases, OR (95%CI) 7.23 (3.82-13.68), p < 0.001, and faster therapeutic decisions, HR (95%CI) 1.97 (1.18-3.29, p = 0.010). In addition, the tool improved therapeutic confidence, OR (95%CI) 4.31 (1.67-11.11, p = 0.003), and reduced perceived work-load coefficient (95%CI) -6.1 (-10.98 to -1.22), p = 0.020). This study provides empirical evidence for the importance of user-centred design in the development of haemostatic management protocols.

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