Key result
Anesthesia decision-making in challenging cases begins with information seeking and relies on experience and environment.
Why the study?
Designing adaptable anesthesia medication delivery systems requires a better understanding of clinical cognition in real-world anesthesia work, as current recommendations are often under-used due to unforeseen complexities.
Understanding anesthesia providers' decision-making and information-seeking behaviors can help design more adaptable medication delivery systems to reduce errors.
Highlights need for work-as-done perspectives in anesthesia medication systems; leaves open translation to adaptable designs.
Medication errors and error-related scenarios in anesthesia remain an important area of research. Interventions and best practice recommendations in anesthesia are often based in the work-as-imagined healthcare system, remaining under-used due to a range of unforeseen complexities in healthcare work-as- done. In order to design adaptable anesthesia medication delivery systems, a better understanding of clinical cognition within the context of anesthesia work is needed. Fourteen interviews probing anesthesia providers’ decision making were performed. The results revealed three overarching themes: (1) anesthesia providers find cases challenging when they have incomplete information, (2) decision-making begins with information seeking, and (3) attributes such as expertise, experience, and work environment influence anesthesia providers’ information seeking and synthesis of tasks. These themes and the context within this data help create a more realistic view of work-as-done and generate insights into what potential medication error reducing interventions should look to avoid and what they could help facilitate.
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Biro et al. (2020) studied Anesthesia decision-making (n=14). Challenging cases was evaluated on Themes in decision-making strategies. Interviews with 14 anesthesia providers revealed that decision-making in challenging cases begins with information seeking and is influenced by expertise, experience, and work environment.
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