Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

User Perceptions of Visual Blood: An International Mixed Methods Study on Novel Blood Gas Analysis Visualization

Version 1 : Received: 25 August 2023 / Approved: 28 August 2023 / Online: 29 August 2023 (09:14:04 CEST)

A peer-reviewed article of this Preprint also exists.

Gasciauskaite, G.; Lunkiewicz, J.; Schweiger, G.; Budowski, A.D.; Henckert, D.; Roche, T.R.; Bergauer, L.; Meybohm, P.; Hottenrott, S.; Zacharowski, K.; Raimann, F.J.; Rivas, E.; López-Baamonde, M.; Ganter, M.T.; Schmidt, T.; Nöthiger, C.B.; Tscholl, D.W.; Akbas, S. User Perceptions of Visual Blood: An International Mixed Methods Study on Novel Blood Gas Analysis Visualization. Diagnostics 2023, 13, 3103. Gasciauskaite, G.; Lunkiewicz, J.; Schweiger, G.; Budowski, A.D.; Henckert, D.; Roche, T.R.; Bergauer, L.; Meybohm, P.; Hottenrott, S.; Zacharowski, K.; Raimann, F.J.; Rivas, E.; López-Baamonde, M.; Ganter, M.T.; Schmidt, T.; Nöthiger, C.B.; Tscholl, D.W.; Akbas, S. User Perceptions of Visual Blood: An International Mixed Methods Study on Novel Blood Gas Analysis Visualization. Diagnostics 2023, 13, 3103.

Abstract

Blood gas analysis plays a central role in modern medicine. Advances in technology have expanded the range of available parameters and increased the complexity of their interpretation. By applying user-centered design principles, it is possible to reduce the cognitive load associated with interpreting blood gas analysis. In this international, multicenter study, we explored anesthesiologists' perspectives on Visual Blood, a novel visualization technique for presenting blood gas analysis results. We conducted interviews with participants following two computer-based simulation studies: the first utilizing Virtual Reality (VR) (50 participants) and the second without VR (70 participants). Employing the template approach, we identified key themes in the interview responses and formulated six statements, which were rated using Likert scales: from 1 (strongly disagree) to 5 (strongly agree) in an online questionnaire. The most frequently mentioned theme was the positive usability features of Visual Blood. The online survey revealed that participants found Visual Blood to be an intuitive method for interpreting blood gas analysis (median 4, IQR 4-4, p<0.001). Participants noted that minimal training was required to effectively learn how to interpret Visual Blood (median 4, IQR 4-4, p<0.001). However, adjustments are necessary to reduce visual overload (median 4, IQR 2-4, p<0.001). Overall, Visual Blood received a favorable response. The strengths and weaknesses derived from these data will help optimize future versions of Visual Blood to improve the presentation of blood gas analysis results.

Keywords

Blood gas analysis; Point-of-care diagnostic; Qualitative research; Situation awareness; User-centered design; Visualization; Visual Blood

Subject

Medicine and Pharmacology, Anesthesiology and Pain Medicine

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