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논문 기본 정보

자료유형
학술저널
저자정보
Athirah Abdul Razak (Universiti Tenaga Nasional) Asma Abu-Samah (Universiti Tenaga Nasional) Normy Razak (Universiti Tenaga Nasional) Fatanah Suhaimi (Universiti Sains Malaysia) Ummu Jamaludin (Universiti Malaysia Pahang) Azrina Ralib (International Islamic University Malaysia) Christopher Pretty (University of Canterbury)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.8 No.5
발행연도
2019.10
수록면
385 - 393 (9page)
DOI
10.5573/IEIESPC.2019.8.5.385

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초록· 키워드

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Since 2001, various glycemic control (GC) studies have been conducted to reduce dysglycemia in critically ill patients. To prove their effectiveness, each proposed GC approach requires not only patient clinical results, but also users’ assessments. This paper presents International Islamic University Malaysia Medical Centre intensive care unit (ICU) staff perceptions and assessments of human factors of Stochastic Targeted (STAR) protocol usage based on a Malaysian pilot trial to analyze the users’ responses to the protocol in the Malaysian set-up. STAR protocol is a model-based and automated GC that accounts for the individual patient’s metabolic variability. The ICU staff feedback on STAR trial was based on 13 survey questions. The survey demonstrated that 87.5% of ICU staff agreed that STAR protocol improved patient’s outcome, and is user friendly. Human factor assessment quantifies the different interventions recorded from STAR historical and manual bedside records for a total of 31 diabetes mellitus (DM) and non-diabetes mellitus (NDM) patients. During a total of 6168 hours in ICU stays, the percentage of compliance in blood glucose (BG) measurements, insulin infusion, and nutrition administered for DM and NDM cohorts were 97.3%/97.2%, 74.1%/70.3% and 65%/71.2%, respectively.

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Abstract
1. Introduction
2. Method
3. Results and Discussion
4. Conclusion
References

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