Aim: This study aimed to determine surgical and intensive care nurses’ knowledge and attitudes regarding nutrition support.
Method: The sample size of this descriptive cross-sectional study was calculated using G-Power software. The study sample included 95 nurses working in a university hospital. Study data were collected using a questionnaire form questioning nurses’ introductory characteristics and independent variables of the study. Study data were evaluated using descriptive statistics (mean and percentage values) and chi-square analyses.
Findings: The nurses’ mean age was found to be 27.45±5.132 years. Of the nurses, 84.2% had training regarding nutrition support, and 97.9% provided care to patients receiving nutrition support. The nurses’ mean knowledge score regarding nutrition support was determined to be 50.11±1.95. Their mean attitude score regarding nutrition support was determined to be 12.37±0.2.High percentages of the nurses gave wrong answers for the definition of malnutrition (84.2%),the ideal time for beginning nutrition support (77.9%), the metabolic response to stress (77.9%), and biochemical parameters to be followed up in patients receiving nutrition support (76.8%). Of the nurses, 58.9% agreed that they had enough knowledge and skill to determine if patients are at risk of malnutrition, 57.9% agreed that complications and duration of hospitalization would decrease with sufficient nutrition support, and 63.2% agreed that training regarding nutrition assessment and nutrition support would be valuable for their vocational careers.
Conclusion: This study found that the nurses’ level of knowledge and attitudes regarding nutrition support treatment was not adequate. Following may be recommended: determining each patient’s nutrition condition, initiating and maintaining nutrition support treatment in the patient groups at risk, applying effective nursing care for the prevention of complications, updating current in-service training and evaluating them at specific intervals.
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Primary Language | English |
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Subjects | Health Care Administration |
Journal Section | Research Articles |
Authors | |
Project Number | YOK |
Early Pub Date | December 27, 2023 |
Publication Date | December 27, 2023 |
Submission Date | December 5, 2022 |
Published in Issue | Year 2023 Volume: 3 Issue: 3 |