Screening for Pediatric Malnutrition at Hospital Admission: Which Screening Tool Is Best?

BACKGROUND: Identifying children at malnutrition risk on admission to hospital is considered best practice; however, nutrition screening in pediatric populations is not common. The aim of this study was to determine which screening tool is able to identify children with malnutrition on admission to hospital. METHODS: A nurse administered 2 pediatric nutrition screening tools, Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) and Pediatric Nutrition Screening Tool (PNST) to patients admitted to medicine and surgery units (n = 165). The Subjective Global Nutritional Assessment (SGNA) was then completed by a dietitian, blinded to the results of the screens. Sensitivity, specificity, and κ were calculated for both screening tools against the SGNA. A receiver operating characteristic (ROC) curve assessed alternate cutoffs for each tool. Length of hospital stay (LOS) was used to assess prospective validity. RESULTS: Using the recommended cutoffs, the sensitivity of STRONGkids was 89%, specificity 35%, and κ 0.483. The sensitivity of PNST was 58%, specificity 88%, and κ 0.601. Using adjusted cutoffs, PNST's sensitivity improved to 87%, specificity 71%, and κ 0.681, and STRONGkids specificity improved to 61%, sensitivity 80%, and κ 0.5. Children identified at nutrition risk had significantly longer LOS (P < 0.05). CONCLUSION: This study showed neither tool was appropriate for clinical use based on published cutoffs. By adjusting the cutoffs using ROC curve analysis, both tools improved overall agreement with the SGNA without significantly impacting the prospective validity. PNST with adjusted cutoffs is the most appropriate for clinical use in this population.

Barriers to Oral Food Intake for Children Admitted to Hospital.

Children are at risk for malnutrition in hospital, and a contributing factor may be poor oral intake. Barriers to intake have been studied in adults, but there is a lack of research in children. The purpose of this study was to identify the potential barriers to oral intake for children in hospital. Patients and families (n = 58) admitted to surgery and medicine units at the Stollery Children's Hospital completed a survey on barriers to oral food intake. Barriers were classified into 6 domains and major barriers were those identified by at least 30% of the population. On average each patient was affected by 22% of the barriers. Within each domain, the proportion of patients identifying at least 1 barrier was as follows: organization (74%), hunger (67%), quality (60%), effects of illness (53%), choice (38%), and physical limitations (29%). Having food brought in from home due to hunger, not wanting what was ordered once it arrives, food quality, decreased appetite, sickness, fatigue, and pain were identified as major barriers. Children have unique barriers to oral food intake in hospital which have not been previously identified. Food service models should consider these barriers to better meet the needs of this population.