ArticleJournal of diabetes science and technology2008
Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples.
Article in Journal of diabetes science and technology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Pilot study of the SPRINT glycemic control protocol in a Hungarian medical intensive care unit.Journal of diabetes science and technology · 2012Trial
- Blood glucose controller for neonatal intensive care: virtual trials development and first clinical trials.Journal of diabetes science and technology · 2009Trial
- Estimating Enhanced Endogenous Glucose Production in Intensive Care Unit Patients with Severe Insulin Resistance.Journal of diabetes science and technology · 2022Article
- Usability study of a new tool for nutritional and glycemic management in adult intensive care: Glucosafe 2.Journal of clinical monitoring and computing · 2021Article
- Risk and reward: extending stochastic glycaemic control intervals to reduce workload.Biomedical engineering online · 2020Article
- Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients.Medical devices (Auckland, N.Z.) · 2020Article
- 3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation.Biomedical engineering online · 2019Article
- Descriptive Usability Study of CirrODS: Clinical Decision and Workflow Support Tool for Management of Patients With Cirrhosis.JMIR medical informatics · 2019Article
- The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics.International journal of medical informatics · 2018Review
- Interpretation of Retrospective BG Measurements.Journal of diabetes science and technology · 2018Article
- Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas.Critical care (London, England) · 2018Review
- Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.Journal of the American Medical Informatics Association : JAMIA · 2018Review
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Biomedical engineering online · 2018Review
- Continuous Glucose Monitoring Measures Can Be Used for Glycemic Control in the ICU: An In-Silico Study.Journal of diabetes science and technology · 2018Article
- Autoregressive Modeling of Drift and Random Error to Characterize a Continuous Intravascular Glucose Monitoring Sensor.Journal of diabetes science and technology · 2018Article
- Nasogastric aspiration as an indicator for feed absorption in model-based glycemic control in neonatal intensive care.Journal of diabetes science and technology · 2013Article
- Using stochastic modelling to identify unusual continuous glucose monitor measurements and behaviour, in newborn infants.Biomedical engineering online · 2012Article
- Interface design and human factors considerations for model-based tight glycemic control in critical care.Journal of diabetes science and technology · 2012Article
- Stochastic targeted (STAR) glycemic control: design, safety, and performance.Journal of diabetes science and technology · 2012Article
- "One more thing to think about…" Cognitive burden experienced by intensive care unit nurses when implementing a tight glucose control protocol.Journal of diabetes science and technology · 2012Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHyperglycemia is prevalent in critical care and tight control can save lives. Current ad-hoc clinical protocols require significant clinical effort and can often produce highly variable results. Thus, tight control remains elusive as there is not enough understanding of the relationship between control performance and protocol design, particularly with regard to how a given protocol is implemented.
methodsThis article examines the role of human factors and how individuals relate to technological protocols in clinical settings. The study consists of an overall brief review that is used to create a first graphical representation of the impact of human factors in clinical medical protocol implementations. This initial framework is examined in the context of two similar, but different, case studies-the specialized relative insulin and nutrition tables glycemic control protocol and the TREAT system for antibiotic selection.
resultsA graphical framework relating the human factors impact on medical protocol implementation is created. This framework describes the primary impacts on performance as resulting from clinical burden and protocol transparency. Their primary effect is on compliance with the protocol, which directly affects performance and outcome, particularly in long-term studies versus short pilot studies. SUMMARY: Compliance is a key element in obtaining the best clinical outcome that a given protocol can provide. The issues that most affect compliance are quite often unrelated to the patient or treatment, but are a function of the protocol design and its ability to integrate (by its design) into a given clinical setting. A framework for examining these issues in design and in post-hoc assessment is therefore proposed and examined in two brief case studies.
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