BACKGROUND: Incorporating the nursing staff to assist with the screening process on admission will allow patients who are at nutritional risk to be assessed by registered dietitians earlier in their hospital stay. The goal of this study was to develop an objective, valid, reproducible nutrition screen for use by registered nurses (RNs) to allow for nutrition classifications of hospitalized patients. METHODS: The current nursing admission assessment form was modified to contain questions on weight loss history, percentage of ideal body weight, and alterations in dietary intake and gastrointestinal function. Assessments were completed within 48 hours of admission. On the basis of the answers to these questions, patients were classified as "at nutritional risk" or "low nutritional risk." In phase 1, to assess reproducibility of the form, a prospective study between staff RNs and a nutritionist was undertaken on 186 consecutive adult admissions. Nutrition screening and classification was done independently by both practitioners. In phase 2 of the study, prospective validation of the form contrasting prealbumin (PAB) levels with RN nutritional risk classification (n = 56) was investigated. RESULTS: Interobserver agreement of nutrition classification between RN and nutritionist was 97.3% (p = .95). Twenty-nine patients were classified at low nutritional risk (27 normal PAB and 2 low PAB); 27 patients were classified as at nutritional risk (16 normal PAB and 11 low PAB) (chi 2 = 8.9, p < .003, power 0.8). The sensitivity of the tool was 84.6%. CONCLUSION: To our knowledge, this is the first nutrition screening tool designed for staff RNs that has been tested for both validity and reproducibility.
BACKGROUND: Incorporating the nursing staff to assist with the screening process on admission will allow patients who are at nutritional risk to be assessed by registered dietitians earlier in their hospital stay. The goal of this study was to develop an objective, valid, reproducible nutrition screen for use by registered nurses (RNs) to allow for nutrition classifications of hospitalized patients. METHODS: The current nursing admission assessment form was modified to contain questions on weight loss history, percentage of ideal body weight, and alterations in dietary intake and gastrointestinal function. Assessments were completed within 48 hours of admission. On the basis of the answers to these questions, patients were classified as "at nutritional risk" or "low nutritional risk." In phase 1, to assess reproducibility of the form, a prospective study between staff RNs and a nutritionist was undertaken on 186 consecutive adult admissions. Nutrition screening and classification was done independently by both practitioners. In phase 2 of the study, prospective validation of the form contrasting prealbumin (PAB) levels with RN nutritional risk classification (n = 56) was investigated. RESULTS: Interobserver agreement of nutrition classification between RN and nutritionist was 97.3% (p = .95). Twenty-nine patients were classified at low nutritional risk (27 normal PAB and 2 low PAB); 27 patients were classified as at nutritional risk (16 normal PAB and 11 low PAB) (chi 2 = 8.9, p < .003, power 0.8). The sensitivity of the tool was 84.6%. CONCLUSION: To our knowledge, this is the first nutrition screening tool designed for staff RNs that has been tested for both validity and reproducibility.
Authors: Pascal Probst; Juri Fuchs; Michael R Schön; Georgios Polychronidis; Christos Stravodimos; Arianeb Mehrabi; Markus K Diener; Philipp Knebel; Markus W Büchler; Katrin Hoffmann Journal: Hepatobiliary Surg Nutr Date: 2020-08 Impact factor: 7.293
Authors: Lia Mara Kauchi Ribeiro; Ronaldo Sousa Oliveira Filho; Lucia Caruso; Patricia Azevedo Lima; Nágila Raquel Teixeira Damasceno; Francisco Garcia Soriano Journal: Rev Bras Ter Intensiva Date: 2014 Apr-Jun
Authors: Pascal Probst; Juri Fuchs; Michael R Schoen; Georgios Polychronidis; Tobias Forster; Arianeb Mehrabi; Alexis Ulrich; Philipp Knebel; Katrin Hoffmann Journal: Int J Surg Protoc Date: 2017-09-09
Authors: Max Heckler; Ulla Klaiber; Felix J Hüttner; Sebastian Haller; Thomas Hank; Henrik Nienhüser; Philip Knebel; Markus K Diener; Thilo Hackert; Markus W Büchler; Pascal Probst Journal: J Cachexia Sarcopenia Muscle Date: 2021-09-20 Impact factor: 12.910
Authors: Pascal Probst; Sebastian Haller; Colette Dörr-Harim; Thomas Bruckner; Alexis Ulrich; Thilo Hackert; Markus K Diener; Phillip Knebel Journal: JMIR Res Protoc Date: 2015-11-16