Nurse implemented algorithm for nutritional support (NIANS) on nutritional status among patient with enteral feeding in critical care unit

Abstract

Nutritional support is a fundamental component of holistic patient care in the intensive care unit (ICU) and therefore warrants diligent consideration. Critically ill patients are at a higher risk for developing malnutrition due to nature of their illness and their hyper-metabolic state. Enteral nutrition is most efficient nutritional support method in intensive care unit. The aim of the study is to improve nutritional status by using designed nutritional algorithm to implement the care of patients in intensive care unit.

Method

The current randomized control trial was performed in critical care unit of MGMCRI, Puducherry. Using simple random sampling method, 70 enteral feeding patients were selected and randomly divided into control (n=35) and experimental (n=35) groups. Control group received routine diet. Experimental group received Nurse Implemented Algorithm for Nutritional Support (NIANS) for 7 days. Demographic variables, clinical variables and NUTRIC score were equally assessed in both control and experimental group. Data were analyzed using SPSS software version 13.

Results

After intervention, there was a significant difference in the nutritional status in experimental group. However, this difference was not significant in the control group.

Conclusion

Conclusion results indicated that using a follow-up NIANS had a positive effect on nutritional status of patient with enteral feeding. It is recommended that further studies to minimize the risk of malnutrition and improve the better clinical outcome of the patients in critical care unit.

Imprint

Kripa Angelline A., Keerthana K.. Nurse implemented algorithm for nutritional support (NIANS) on nutritional status among patient with enteral feeding in critical care unit. Cardiometry; Issue 25; December 2022; p.192-196; DOI: 10.18137/cardiometry.2022.25.192196; Available from: https://www.cardiometry.net/issues/no25-december-2022/nurse-implemented-algorithm