Validity and Reliability of Pediatric Nutrition Screening Tools for Hospital, Outpatient, and Community Settings: A 2018 Evidence Analysis Center Systematic Review

Becker, Patricia J.; Bellini, Sarah Gunnell; Vega, Molly Wong; Corkins, Mark R.; Spear, Bonnie A.; Spoede, Elizabeth; Hoy, M. Katherine; Piemonte, Tami A.; Rozga, Mary

doi:10.1016/j.jand.2019.06.257

Cited by 43 publications

(74 citation statements)

References 41 publications

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“…The EHR-STAMP directly answers the Academy's recent call for pediatric screening tools that are not only EHR integrated but also include the current recommended indicators for identifying pediatric malnutrition. 16 To the authors' knowledge, this is the first pediatric nutrition screening tool to incorporate the Academy/ASPEN pediatric malnutrition indicators and publish validation results. The EHR-STAMP is easy to perform and readily integrated into nursing workflow and appropriately allocates clinical nutrition resources to prioritize those patients at highest nutrition risk.…”

Section: Discussionmentioning

confidence: 99%

“…13,17,20 Using the validity algorithm published in the Academy's recent systematic review of pediatric nutrition screening tools, the EHR-STAMP tool has a moderate degree of overall validity, comparable with that of STAMP, as well as PYMS and STRONG(kids). 16 A strength of the current tool is that it is based on the well-designed, previously validated STAMP but modified to be relevant in the era of widespread EHR adoption. The STAMP was designed to incorporate information clinical nurses would routinely obtain on admission into the nutrition screening process, thus making the tool quick and easy to perform.…”

Section: Discussionmentioning

confidence: 99%

“…In February 2020, the Academy of Nutrition and Dietetics (Academy) published a systematic review of pediatric nutrition screening tools. 16 Three well-studied inpatient tools with moderate validity and moderate-to-high reliability were identified: Paediatric Yorkhill Malnutrition Score (PYMS), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Screening Tool for Risk on Nutritional status and Growth (STRONGkids). 16 Although STAMP was the only tool supported by grade I (good/strong) evidence, authors noted that the tool used percentiles for anthropometric data, which may present a barrier to electronic health record (EHR) compatibility.…”

Section: Introductionmentioning

confidence: 99%

“…Authors concluded it may be favorable to update existing validated tools, such as STAMP, to integrate them into the EHR. 16 The present study aimed to assess the validity of EHR-STAMP, an updated version of STAMP designed for EHR integration, and incorporation of the pediatric malnutrition indicators identified by the Academy and the American Society for Parenteral and Enteral Nutrition (ASPEN). 1…”

Section: Introductionmentioning

confidence: 99%

“…Several pediatric nutrition screening tools have been developed to facilitate nutrition risk assessment and care allocation. In February 2020, the Academy of Nutrition and Dietetics (Academy) published a systematic review of pediatric nutrition screening tools 16 . Three well‐studied inpatient tools with moderate validity and moderate‐to‐high reliability were identified: Paediatric Yorkhill Malnutrition Score (PYMS), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Screening Tool for Risk on Nutritional status and Growth (STRONGkids) 16 .…”

Section: Introductionmentioning

confidence: 99%

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Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) in the Electronic Health Record: A Validation Study

et al. 2020

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Background: The impact of malnutrition on pediatric patients in the acute care setting is significant. Hospitalized patients with malnutrition have been shown to have poor clinical outcomes. Nutrition screening is the first critical step in identifying and treating malnutrition. Although several pediatric nutrition screening tools exist, none incorporate both electronic health record (EHR) compatibility and the recommended indicators of pediatric malnutrition, a gap recently identified in a systematic review by the Academy of Nutrition and Dietetics. The aim of this study was to prove the validity of a new version of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), EHR-STAMP, modified for incorporation into the EHR and inclusion of updated pediatric malnutrition indicators. Methods: An interprofessional team modified the existing STAMP for integration into the EHR. Audits were performed by the research dietitian to assess accuracy and provide feedback for continuous improvement of the tool design. Results: A total of 3553 pediatric inpatients were studied from August 2017 to May 2019. Accuracy, sensitivity, and specificity improved with each modification to the EHR-STAMP. The final version of the EHR-STAMP found 85% accuracy, 89% sensitivity, and 97% specificity, with a positive predictive value of 60% and a negative predictive value of 94%. Conclusion: The EHR-STAMP is a highly reliable tool in the screening of nutrition risk for pediatric hospitalized patients. The tool is easy to use, EHR compatible, and incorporates the current indicators recommended for assessing pediatric malnutrition.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) in the Electronic Health Record: A Validation Study

et al. 2020

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Nutrition risk prevalence and screening tools' validity in pediatric patients: A systematic review

Pereira

Silva

Luz

et al. 2022

J Parenter Enteral Nutr

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Nutrition screening (NS) allows health professionals to identify patients at nutritional risk (NR), enabling early nutrition intervention. This study aimed to systematically review the criterion validity of NS tools for hospitalized non–critical care pediatric patients and to estimate the prevalence of NR in this population. This research was performed using PubMed, Embase, and Scopus databases until June 2021. The reviewers extracted the studies' general information, the population characteristics, the NR prevalence, and the NS tools' concurrent and predictive validity data. Quality evaluation was performed using the Newcastle‐Ottawa Scale, adapted Newcastle‐Ottawa Scale, and Quality Assessment of Diagnostic Accuracy Studies (QUADAS‐2). The primary studies were qualitatively analyzed, and descriptive statistics were calculated to describe the NR prevalence. Of the total 3944 studies found, 49 met the inclusion criteria. Ten different pediatric NS tools were identified; the most frequently used were Screening Tool for Risk on Nutritional Status and Growth (STRONGkids), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Pediatric Yorkhill Malnutrition Score (PYMS). The mean NR prevalence was 59.85% (range, 14.6%–96.9%). Among all NS tools analyzed, STRONGkids and PYMS showed the best diagnostic performance. STRONGkids had the most studies of predictive validity showing that the NR predicted a higher hospital length of stay (odds ratio [OR], 1.96–8.02), health complications during hospitalization (OR, 3.4), and the necessity for nutrition intervention (OR, 18.93). Considering the diagnostic accuracy, robust and replicated findings of predictive validity, and studies' quality, STRONGkids performed best in identifying NR in the pediatric population among the tools identified.

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Pediatric malnutrition screening and assessment tools: Analyzing the gaps

Becker

Brunet-Wood²

2021

Nut in Clin Prac

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Pediatric healthcare professionals know that children who are malnourished have worse clinical outcomes than do their well‐nourished peers. The body of evidence in the literature on the topic of pediatric malnutrition (PMN) is growing and supports this conclusion. The goal of this article is to present the current state of practice related to PMN screening, the use of malnutrition risk screening (MNRS) tools, malnutrition assessment, and the use of malnutrition assessment tools. The purpose is also to discuss best practice for MNRS and assessment and to consider the gaps in practice where additional work is needed.

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Validity and Reliability of Pediatric Nutrition Screening Tools for Hospital, Outpatient, and Community Settings: A 2018 Evidence Analysis Center Systematic Review

Cited by 43 publications

References 41 publications

Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) in the Electronic Health Record: A Validation Study

Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) in the Electronic Health Record: A Validation Study

Nutrition risk prevalence and screening tools' validity in pediatric patients: A systematic review

Pediatric malnutrition screening and assessment tools: Analyzing the gaps

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