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Journals / Hacettepe Üniversitesi Hemşirelik Fakültesi Dergisi / 2021 / Cilt: 8 - Sayı: 3

The Effect of Computer-Assisted Glycemic Monitoring Protocol on Workload of Intensive Care Nurses

Bilgisayar Destekli Glisemi Takip Protokolünün Yoğun Bakım Hemşirelerinin İş Yüküne Etkisi

Sevgisun KAPUCU
Özlem CANBOLAT
Pages
293–298
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results: While the mean time spent on glycemia follow-up using the computerized protocol was 30.5 ± 8.18 seconds, the mean time spent using the written protocol was 42.7 ± 10.04 seconds (p

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: This study aimed to determine the effect of using a computer-assisted glycemic monitoring protocol on the workload of intensive care nurses.
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Key Findings & Data:Material and Methods: This quasi-experimental study was conducted with intensive care unit nurses (n=19).
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Conclusion & Impact:Results: While the mean time spent on glycemia follow-up using the computerized protocol was 30.5 ± 8.18 seconds, the mean time spent using the written protocol was 42.7 ± 10.04 seconds (p
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Bilgisayar destekli protokol · glisemik kontrol · hemşire iş yükü

Abstract

Aim: This study aimed to determine the effect of using a computer-assisted glycemic monitoring protocol on the workload of intensive care nurses. Material and Methods: This quasi-experimental study was conducted with intensive care unit nurses (n=19). The time spent by the nurses during glycemia follow-up was recorded by two observer nurses using stopwatches. Glycemic monitoring was performed using a computerized and written protocol. After the application part of the research, the opinions of the nurses about the protocols were evaluated with a questionnaire form. Results: While the mean time spent on glycemia follow-up using the computerized protocol was 30.5 ± 8.18 seconds, the mean time spent using the written protocol was 42.7 ± 10.04 seconds (p

Özet

Amaç: Bu çalışmanın amacı bilgisayar destekli glisemi takip protokolü kullanımının yoğun bakım hemşirelerinin iş yüküne etkisini belirlemektir. Gereç ve Yöntem: Bu yarı deneysel çalışma yoğun bakım ünitesinde çalışan hemşireler ile yapılmıştır (n=19). Hemşirelerin glisemi takibi sırasında harcadıkları süre 2 gözlemci hemşire tarafından kronometre kullanılarak kaydedilmiştir. Glisemi takibi bilgisayarlı ve yazılı protokol kullanılarak yapılmıştır. Araştırmanın uygulama kısmından sonra hemşirelere protokoller hakkındaki görüşleri anket formu ile değerlendirilmiştir. Bulgular: Bilgisayarlı protokol kullanarak yapılan glisemi takibi sırasında harcanan süre ortalama 30.5± 8.18 saniye iken, yazılı protokol kullanılarak glisemi takibi sırasında harcanan süre ortalama 42.7±10.04 saniye bulunmuştur (p

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Cite This Article

KAPUCU, S., CANBOLAT, Ö. (2022). The Effect of Computer-Assisted Glycemic Monitoring Protocol on Workload of Intensive Care Nurses. Hacettepe Üniversitesi Hemşirelik Fakültesi Dergisi, Cilt: 8 - Sayı: 3, 293–298. https://ajindex.com/articles/532645

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References (14)

  1. Clain J, Ramar K, Surani SR. Glucose control in critical care. World J. Diabetes. 2015;6(9):1082-90
  2. Umpierrez GE, Isaac SD, Bazargan N, You X, Thaler LM, Kitabchi AE. Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes. J Clin Endocrinol Metab. 2002;87(3):978-82
  3. Hsu CW. Glycemic control in critically ill patients. World J. Diabetes. 2012;1(1):31-9
  4. Krinsley JS. Association between hyperglycemia and ıncreased hospital mortality in a heterogeneous population of critically ill patients. Mayo Clin Proc. 2003;78(12):1471-8
  5. Capes SE, Hunt D, Malmberg K, Gerstein HC. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: systematic overview. Lancet. 2000;355(9206):773-8
  6. Falciglia M, Freyberg R, Almenoff PL, D’Alessio DA, Rende ML. Hyperglycemia-related mortality in critically ill patients varies with admission diagnosis. Crit Care Med. 2009;37(12):3001-9
  7. Kosiborod M, Inzucchi SE, Spertus JA, Wang Y, Masoudi FA, Havranek EP, et al. Elevated admission glucose and mortality in elderly patients hospitalized with heart failure. Circulation. 2009;119(14):1899-907
  8. Kosiborod M, Rathore SS, Inzucchi SE, Masoudi FA, Wang Y, Havranek EP, et al. Admission glucose and mortality in elderly patients hospitalized with acute myocardial infarction implications for patients with and without recognized diabetes. Circulation. 2005;111(23):3078-86
  9. Van den Berg G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, et al. Intensive insulin therapy in criticaly ill patients. N Engl J Med. 2001;345(19):1359-67
  10. Van den Berghe G, Wilmer A, Milants I, Wouters PJ, Bouckaert B, Bruyninckx F, et al. Intensive insulin therapy in mixed medical/surgical intensive care units: benefit versus harm. Diabetes. 2006;55(11):3151-9
  11. Finney SJ, Zekveld C, Elia A, Evans TW. Glucose control and mortality in critically ill patients. JAMA. 2003;290(15):2041-7
  12. Pittas AG, Siegel R, Lau J. Insulin therapy for critically ill hospitalized patients: a meta-analysis of randomized controlled trials. Arch Intern Med. 2004;164(18):2005-11
  13. Krinsley JS. Effect of an intensive glucose management protocol on the mortality of critically ill adult patients. Mayo Clin Proc. 2004;79(8):992-1000
  14. Taylor BE, Schallom ME, Sona CS, Buchman TG, Boyle WA, Mazuski JE, et al. Efficacy and safety of an insulin infusion protocol in a surgical ICU. J Am Coll Surg. 200