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    Interface design and human factors considerations for model-based tight glycemic control in critical care (2012)

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    12640741_VOL-6-1-ORG7-WARD - PRINTED.pdf (3.754Mb)
    Type of Content
    Journal Article
    UC Permalink
    http://hdl.handle.net/10092/7359
    
    Publisher
    University of Canterbury. Mechanical Engineering
    ISSN
    1932-2968
    Collections
    • Engineering: Journal Articles [1526]
    Authors
    Ward, L.
    Steel., J
    LeCompte, A.J.
    Evans, A.
    Tan, C-S.
    Penning, S.
    Shaw, Geoff cc
    Desaive, T.
    Chase, Geoff cc
    show all
    Abstract

    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.

    Citation
    Ward, 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.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    critical 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 Research
    40 - 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
    Rights
    https://hdl.handle.net/10092/17651

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    • Data entry errors and design for model-based tight glycemic control in critical care 

      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)
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    • 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)
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