Interface design and human factors considerations for model-based tight glycemic control in critical care (2012)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Mechanical Engineering
Introduction: Tight glycemic control (TGC) has shown benefits but has been difficult to implement. Model-based methods and computerized protocols offer the opportunity to improve TGC quality and compliance. This research presents an interface design to maximize compliance, minimize real and perceived clinical effort, and minimize error based on simple human factors and end user input. Method: The graphical user interface (GUI) design is presented by construction based on a series of simple, short design criteria based on fundamental human factors engineering and includes the use of user feedback and focus groups comprising nursing staff at Christchurch Hospital. The overall design maximizes ease of use and minimizes (unnecessary) interaction and use. It is coupled to a protocol that allows nurse staff to select measurement intervals and thus self-manage workload. Results: The overall GUI design is presented and requires only one data entry point per intervention cycle. The design and main interface are heavily focused on the nurse end users who are the predominant users, while additional detailed and longitudinal data, which are of interest to doctors guiding overall patient care, are available via tabs. This dichotomy of needs and interests based on the end user’s immediate focus and goals shows how interfaces must adapt to offer different information to multiple types of users. Conclusions: The interface is designed to minimize real and perceived clinical effort, and ongoing pilot trials have reported high levels of acceptance. The overall design principles, approach, and testing methods are based on fundamental human factors principles designed to reduce user effort and error and are readily generalizable.
CitationWard, L., Steel., J, LeCompte, A.J., Evans, A., Tan, C-S., Penning, S., Shaw, G.M., Desaive, T., Chase, J.G. (2012) Interface design and human factors considerations for model-based tight glycemic control in critical care. Journal of Diabetes Science and Technology, 6(1), pp. 125-134.
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Keywordscritical care; glycemic control; graphical user interface; human factors; intensive care; intensive care unit; intensive insulin therapy; stochastic targeted; tight glycemic control; user interface
ANZSRC Fields of Research40 - Engineering::4003 - Biomedical engineering::400303 - Biomechanical engineering
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320102 - Haematology
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
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Ward, L.; Steel, J.; LeCompte, A.J.; Evans, A.; Tan, C.S.; Penning, S.; Shaw, Geoff; Desaive, T.; Chase, Geoff (University of Canterbury. Mechanical Engineering, 2012)Introduction: Tight glycemic control (TGC) has shown benefits but has been difficult to achieve consistently. Model-based methods and computerized protocols offer the opportunity to improve TGC quality but require human ...
Insulin Sensitivity, Its Variability and Glycemic Outcome: A model-based analysis of the difficulty in achieving tight glycemic control in critical care Chase, Geoff; Le Compte, A.J.; Preiser, J.C.; Pretty, C.G.; Moorhead, K.T.; Penning, S.; Shaw, Geoff; Desaive, T. (University of Canterbury. Mechanical Engineering, 2011)Effective tight glycemic control (TGC) can improve outcomes in intensive care unit (ICU) patients, but is difficult to achieve consistently. Glycemic level and variability, particularly early in a patient’s stay, are a ...
Safety and Performance of Stochastic Targeted (STAR) Glycemic Control of Insulin and Nutrition – First Pilot Results Shaw, Geoff; Le Compte, A.J.; Evans, A.; Tan, C.S.; Steel, L.; Ward, L.; Pretty, C.G.; Penning, S.; Desaive, T.; Chase, Geoff (University of Canterbury. Mechanical Engineering, 2011)