Burnout and its determinants among anaesthesia care providers in Switzerland: a multicentre cross-sectional study.

The escalating epidemic of burnout in healthcare professionals affects provider well-being, patient care and sustainability of healthcare systems. The objective of this study was to determine the prevalence of burnout among anaesthesia care providers (consultants, trainees or nurse anaesthetists) in Switzerland and identify risk factors to develop strategies for prevention. This multicentre cross-sectional study was conducted at 22 anaesthesia departments in the German-speaking part of Switzerland, using an online questionnaire. Burnout assessment was performed using the Maslach Burnout Inventory. Additionally, the questionnaire included questions on workplace and personal risk factors. Of 1630 anaesthesia care providers contacted, 688 (42%) completed the survey. Among respondents who specified their work positions (n = 676), 52% (149/287) of nurses and 59% (229/389) of physicians were at high risk of burnout; and 9% (26/287) of nurses and 18% (70/389) of physicians met the criteria for burnout syndrome. Logistic regression analysis found significant associations between burnout and perceived lack of support at work among physicians (odds ratio (95%CI) 2.66 (1.40-5.24), p = 0.004); being a trainee in the 1st and 2nd year of training (2.91 (1.14-7.41), p = 0.024); being a trainee with > 5 years of experience (2.78 (1.08-6.98), p = 0.031); and male gender among nurses (4.13 (1.62-11.2), p = 0.004) and physicians (2.32 (1.22-4.47), p = 0.011). Work-related errors due to high workload or fatigue were reported by 65% (444/688) and consideration of leaving the profession due to working conditions was expressed by 46% (319/688) of respondents. Anaesthetic care providers in German-speaking Switzerland experience a considerable prevalence of burnout, influenced mainly by workplace factors.

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

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.

Improving decision making through presentation of viscoelastic tests as a 3D animated blood clot: the Visual Clot.

Point-of-care viscoelastic coagulation tests are used increasingly and enable physicians to run precise whole blood coagulation diagnostics. However, the somewhat complicated and abstract presentation of results may hinder these advantages. For this reason, we developed the Visual Clot as an alternative mode of presentation for thrombelastometric data. An algorithm takes existing parameters from rotational thromboelastometry and creates a visual representation in the form of an animated blood clot named 'Visual Clot'. In a prospective international dual-centre study, 60 physicians were presented with rotational thromboelastometry results in the standard way or as a Visual Clot. They were then asked to make therapeutic decisions based on pathological findings. Overall proportion of correct therapeutic decisions was median (IQR [range] 100 (83-100 [39-100]) % for Visual Clot vs. 44 (25-50 [0-83]) % for standard rotational thromboelastometry presentation of results, p < 0.001. Mixed regression models yielded a mean OR (95%CI) 22.1 (13.4-36.5), p < 0.001 for correct decisions with the Visual Clot compared with standard rotational thromboelastometry, with an 18.7 (16.4-21.1), p < 0.001 second decrease in decision time. Perceived cognitive work-load was lower, and participants rated their diagnostic confidence to be higher with the Visual Clot, both p < 0.001. Although correct interpretation of standard rotational thromboelastometry results depended on previous rotational thromboelastometry knowledge and experience, Visual Clot interpretation did not. The Visual Clot improved rotational thromboelastometry-based therapeutic decisions, as pathologies can be recognised more rapidly and accurately. These findings underline the significance of an alternative additional visualisation technique that simplifies the interpretation of abstract standard data.

Using an animated patient avatar to improve perception of vital sign information by anaesthesia professionals.

BACKGROUND: Maintaining situation awareness of monitored patients can be challenging because care providers must continually read and integrate multiple waveforms and numerical vital sign values into a mental model of the patient's situation. We developed and evaluated a technology designed to improve perception of vital sign information by presenting patient status as an animated patient avatar. METHODS: After step-wise improvement of the avatar, anaesthesia professionals from two hospitals participated in a comparative study of conventional monitoring. Participants observed identical monitoring scenarios via the two technologies for brief time intervals and afterwards recalled patient status. RESULTS: Overall, 150 anaesthesia professionals participated in the validation process and 32 participated in the comparative study, completing 128 scenarios, which allowed for 64 direct comparisons. The avatar's inter-rater reliability was high, with Fleiss' kappa of 0.98 (95% confidence interval 0.96-0.99, P<0.001). With the avatar, participants recalled almost twice as many vital signs correctly as with conventional monitoring (9 vs 5, P<0.001). Perceived confidence was improved (2=certain vs 1=uncertain, P<0.001) and perceived workload lowered (task load index 60 vs 76, P<0.001). Participants obtained these results only after watching an educational video explaining the avatar and suggesting quick learnability and potential for real-life usability. CONCLUSIONS: This study provides empirical evidence that an animated avatar offers the opportunity to transmit vital sign information significantly more quickly than conventional monitoring and with improved confidence and reduced cognitive effort. This could help care providers gain situation awareness more efficiently.