Development of B-eNSP (Baptist Electronic Nutritional Screening Program) Using Integrated Medical Information System and Clinical Efficiency.
10.4174/jkss.2010.79.Suppl1.S1
- Author:
Sang Min LEE
;
Jong Woo CHOI
;
Yun Sik LEE
- Publication Type:Original Article
- Keywords:
Nutritional screening;
Nutrition at risk;
Malnutrition
- MeSH:
Body Mass Index;
Electronics;
Electrons;
Humans;
Information Systems;
Malnutrition;
Mass Screening;
Nutritional Requirements;
Physical Examination;
Prospective Studies;
Protestantism;
ROC Curve;
Sensitivity and Specificity;
Serum Albumin;
Weight Loss
- From:Journal of the Korean Surgical Society
2010;79(Suppl 1):S1-S6
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: The aim of this study was to develop a baptist electronic Nutritional Screening Program (B-eNSP) that could be easily used to identify patients with nutrition at risk or malnutrition on their admission to hospital using an integrated medical information system and to evaluate validity, reliability and efficiency of B-eNSP. METHODS: From June 1 2009 to June 21 2009, we enrolled 496 patients for prospective research. We analyzed age, sex, weight, height, weight loss in the last 3 months, serum albumin, alteration of dietary intake, gastrointestinal symptom, functional capacity, diagnosis and its relationship to nutritional requirements, physical examination and Subjective Global Assessment (SGA). B-eNSP included body mass index (BMI), weight loss in the last 3 months, serum albumin. Each component was scored. Sensitivity and specificity were calculated to evaluate the validity of the B-eNSP. The receiver operating characteristic (ROC) curve was drawn by using B-eNSP to choose a cut-off value that maximizes sensitivity and specificity and Yoden Index. Comparison with SGA and the reliability of the B-eNSP was done using kappa statistics. RESULTS: The maximum Yoden Index was 0.866 and the cut-off value of the ROC curve was 2. A B-eNSP score higher than 2 was defined as nutrition at risk or malnutrition. Reliability of the B-eNSP was in accordance with SGA by kappa 0.845. CONCLUSION: The B-eNSP can be used efficiently to identify patients with nutrition at risk or malnutrition by simply using an integrated medical information system.
