Assessment of Knowledge and Awareness of Acute Physiology and Chronic Health Evaluation (APACHE) II Tool Among Intensive Care Nurses in a Tertiary Institution
International Journal of Anesthesia and Clinical Medicine
Volume 8, Issue 2, December 2020, Pages: 47-54
Received: Jul. 16, 2020;
Accepted: Jul. 29, 2020;
Published: Aug. 25, 2020
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Christie Omolola Adamsloladams28@gmail.com, Department of Anaesthesia and Intensive Care, University of Abuja Teaching Hospital, Gwagwalada, Abuja, FCT, Nigeria
Esther Joseph, Department of Anaesthesia and Intensive Care, University of Abuja Teaching Hospital, Gwagwalada, Abuja, FCT, Nigeria
Ekele Peter Ekele, International Research Centre of Excellence, Institute of Human Virology, (IHV), Abuja, FCT, Nigeria
Elizabeth Ifeyinwa Rasong, Department of Anaesthesia and Intensive Care, University of Abuja Teaching Hospital, Gwagwalada, Abuja, FCT, Nigeria
Daniel Ebenezer Obi, Department of Public Health, School of Public Health, Texila American University, Georgetown, Guyana
Background: This study is aimed at assessing the adequate knowledge and awareness of the trained Intensive Care Nurses working at the University of Abuja Teaching Hospital (UATH) on Acute Physiology and Chronic Health Evaluation (APACHE) II prognostic tool on patients who are being referred for intensive medical and nursing care from other departments of the hospital for cardiac and thoracic support, also for invasive and non-invasive procedures. This tool is an instrument of interest that is used in predicting the severity and prognosis of critical conditions such as severe trauma, and severe sepsis. The prognostic tool was first founded at George Washington University Medical Center in 1981. The acute physiological score was complex initially because it uses 34 physiological parameters, afterward a simple 12 parameter APACHE II system was invented in 1985 and it is widely applied in assessing the severity of diseases in the Intensive Care Unit. The same was published in 1985 and it remains useful for research, quality control, and clinical applications for patients admitted into the Intensive Care Unit within 24 hours. This study was a cross-sectional survey that used a structured electronic survey questionnaire to collect ethnography qualitative data. A total of 72 (98%) (n=72) of the respondents are trained intensive care nurses and 2 (2%) had no training in intensive care nursing. 27 (36%) of the respondents work in the intensive care unit, 10 (14%) works in the Post Basic Intensive Training School, 14 (19%) works in Post-Operative Recovery Room, while 23 (31%) of the respondent works in other departments of the hospital. And all these trained intensive care nurses had their training across different schools in Nigeria. In conclusion, the study showed that a larger number of the trained intensive care nurse in UATH who had their training across various schools in Nigeria do not have optimal knowledge and awareness of the utilization of this tool, and it is very important for nurses to have the background knowledge and for proper use of this prognostic tool. Therefore, there is a need for training and re-training for the Intensive Care Nurses across the board. Also, this tool should be inculcated into the Post Basic Critical Care Training Nursing Schools, curriculum across all the Post Basic Critical Care Nursing Training Schools in Nigeria.
Christie Omolola Adamsloladams28@gmail.com,
Ekele Peter Ekele,
Elizabeth Ifeyinwa Rasong,
Daniel Ebenezer Obi,
Assessment of Knowledge and Awareness of Acute Physiology and Chronic Health Evaluation (APACHE) II Tool Among Intensive Care Nurses in a Tertiary Institution, International Journal of Anesthesia and Clinical Medicine.
Vol. 8, No. 2,
2020, pp. 47-54.
Bahtouee, M., Eghbali, S. S., Maleki, N., Rastgou, V. and Motamed, N., 2019. Acute Physiology and Chronic Health Evaluation II score for the assessment of mortality prediction in the intensive care unit: a single-centre study from Iran. Nursing in critical care, [e-journal] 24 (6), pp. 375-380. 10.1111/nicc.12401.
Bernard GR, Vincent JL, Laterre PF, LaRosa SP, Dhainaut JF, Is APACHE II a useful tool for clinical research? – NCBI.
Cates, C. J., Schmidt, S., Ferrer, M., Sayer, B. and Waterson, S., 2018. Inhaled steroids with and without regular salmeterol for asthma: serious adverse events. The Cochrane database of systematic reviews, [e-journal] 12, pp. CD006922. 10.1002/14651858.CD006922.pub4.
Chen, Y., Cao, W., Gao, X., Ong, H. and Ji, T., 2015. Predicting postoperative complications of head and neck squamous cell carcinoma in elderly patients using random forest algorithm model. BMC medical informatics and decision making: [e-journal] 15 (1), pp. 44. 10.1186/s12911-015-0165-3.
Elaine N. Marieb, Suzanne M. Keller., 2017a. Essentials of Human Anatomy & Physiology, Global Edition. [e-book] Twelfth edition. Global edition. ed. GB: Pearson Education. Available through: ARU Library.
Evason Mandona, Ebenezer Obi Daniel, Paul Olaiya Abiodun, Israel Olukayode Popoola, Olayinka Victor Ojo, Christie Omolola Adams, Stellamaris Moronkeji Assessment of Knowledge, Attitude and Practice of Infection Prevention among Health Care Providers in Chibombo District Zambia.
Fortis, S., O'Shea, A. M. J., Beck, B. F., Nair, R., Goto, M., Kaboli, P. J., Perencevich, E. N., Reisinger, H. S. and Sarrazin, M. V., 2018. An automated computerized critical illness severity scoring system derived from APACHE III: modified APACHE. Journal of critical care, [e-journal] 48, pp. 237-242.
Galbois, A., Das, V., Carbonell, N. and Guidet, B., 2013. Prognostic scores for cirrhotic patients admitted to an intensive care unit: Which consequences for liver transplantation? Clinics and Research in Hepatology and Gastroenterology; Clin Res Hepatol Gastroenterol, [e-journal] 37 (5), pp. 455-466. 10.1016/j.clinre.2013.05.001.
Gupta, S. and Mishra, M., 2016. Acute Physiology and Chronic Health Evaluation II score of ≥15: A risk factor for sepsis-induced critical illness polyneuropathy. Neurology India; Neurol India, [e-journal] 64 (4), pp. 640-645. 10.4103/0028-3886.185356.
Huang, Y., Chen, J., Zhong, S. and Yuan, J., 2016a. Role of APACHE II scoring system in the prediction of severity and outcome of acute intracerebral hemorrhage. International Journal of Neuroscience, [e-journal] 126 (11), pp. 1020-1024. 10.3109/00207454.2015.1099099.
Kim, Y. H., Yeo, J. H., Kang, M. J., Lee, J. H., Cho, K. W., Hwang, S., Hong, C. K., Lee, Y. H. and Kim, Y. W., 2013. Performance assessment of the SOFA, APACHE II scoring system, and SAPS II in intensive care unit organophosphate poisoned patients. Journal of Korean medical science, [e-journal] 28 (12), pp. 1822-1826. 10.3346/jkms.2013.28.12.1822.
Lavoie et al, 2005; Rutledge, Hoyt, Eastman et al, 1997. Major Trauma and the Injury Severity Score.
Lim, Q. R., 2014. Nurses’ knowledge and perceptions of APACHE II scoring system in a medical intensive care unit. International Journal of Evidence-Based Healthcare, [e-journal] 12 (3), pp. 206. 10.1097/01.XEB.0000455217.17939.87.
Mehrzad Bahtouee MD Seyed S Eghbali MD Nasrollah Maleki MD Vahid Rastgou MD Niloufar Motamed MD. Acute Physiology and Chronic Health Evaluation II score for the assessment of mortality prediction in the intensive care unit: a single-centre study from Iran. 29 March 2019 https://doi.org/10.1111/nicc.12401.
Okazaki, H., Shirakabe, A., Hata, N., Yamamoto, M., Kobayashi, N., Shinada, T., Tomita, K., Tsurumi, M., Matsushita, M., Yamamoto, Y., Yokoyama, S., Asai, K. and Shimizu, W., 2014. New scoring system (APACHE-HF) for predicting adverse outcomes in patients with acute heart failure: Evaluation of the APACHE II and Modified APACHE II scoring systems. Journal of cardiology, [e-journal] 64 (6), pp. 441-449. 10.1016/j.jjcc.2014.03.002.
Oliver, C. M., Walker, E., Giannaris, S., Grocott, M. P. W. and Moonesinghe, S. R., 2015a. Risk assessment tools validated for patients undergoing emergency laparotomy: a systematic review. British journal of anaesthesia: BJA; Br J Anaesth, [e-journal] 115 (6), pp. 849-860. 10.1093/bja/aev350.
Samir Desai, Jitendra Lakhani, Jitendra Lakhani - Utility of SOFA and APACHE II score in sepsis in rural set up MICU - September 2013 - The Journal of the Association of Physicians of India 61 (9): 608-11 Source PubMed.
Schneider, A. G., Lipcsey, M., Bailey, M., Pilcher, D. V. and Bellomo, R., 2013. Simple translational equations to compare illness severity scores in intensive care trials. Journal of critical care, [e-journal] 28 (5), pp. 885. e1-885. e8. 10.1016/j.jcrc.2013.02.003.
Shiu-Lien ChenIen-Lan WeiYiing-Yiing SangYiing-Yiing SangFu-In TangFu-In Tang ICU nurses' knowledge of, and attitudes towards, the APACHE II scoring system April 2004Journal of Clinical Nursing 13 (3): 287-96.
Susan L, Bain, Lawrence W. B. S. The Journal of Trauma: Injury, Infection, and Critical Care: January 1988 - Volume 28 - Issue 1 - p 69-77.
Vimal, K. P., Nirmal, K. P., M3, V. and Sagiev, K. G., 2017. ICU scoring systems (APACHE II, APACHE IV, SAPS III) in an INDIAN ICU - observed mortality and its correlation with predicted mortality. Journal of Evidence Based Medicine and Healthcare, [e-journal] 4 (92), pp. 5605-5613. 10.18410/jebmh/2017/1123.
Wang, X., Chen, H., Liu, D., Zhang, Q. and Su, L., 2016. The correlation between CVP-derived parameters and the prognosis of critically ill patients. Journal of critical care; J Crit Care, [e-journal] 40, pp. 257-264. 10.1016/j.jcrc.2017.03.011.
Why Nursing is a Great Career Choice for Men – 2019 https://nurse.org/articles/Male-Nurses-And-The-Profession.