Tradução e adaptação cultural da ferramenta Strongkids para triagem do risco de desnutrição em crianças hospitalizadas

Carvalho, F. C. de; Lopes, Célia Regina; Vilela, Laurieny da Costa; Vieira, Marina Araújo; Rinaldi, Ana Elisa Madalena; Crispim, Cibele Aparecida

doi:10.1590/s0103-05822013000200005

Cited by 25 publications

(16 citation statements)

References 15 publications

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“…The tool was easily understood by health professionals, parents, and/or guardians [46]. Even so, a Brazilian study found that the tool presented moderate sensitivity (60.3%) and low specificity (42.4%) for predicting a body weight loss greater than 2% on hospital discharge [16].…”

Section: Nutritional Screening Tools For Pediatric Patientsmentioning

confidence: 99%

Hospital Malnutrition in Pediatric Patients: A Review

Mac¹

2017

Ann Nutr Disord Ther

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Malnutrition is common in pediatric inpatients, and nutritional status often deteriorates in the hospital. Although the prevalence of hospital malnutrition is high, this condition is ignored and consequently, not treated. The first step to fight malnutrition knows how to identify patients at greater risk of this condition. One way to identify them is by using risk screening tools, which should be used in all inpatients. Six screening tools have been created for pediatric patients, but none of these tools stood out. Nevertheless, the STRONGKids has been the most studied tool in many countries because of its ease and speed of use. In Brazil only STRONGKids has been translated and adapted, but just one study assessed its accuracy in our population, obtaining modest results. Hence, STRONGKids should be considered a preliminary tool, and its correlation with clinical data requires investigation.

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Section: Nutritional Screening Tools For Pediatric Patientsmentioning

confidence: 99%

Hospital Malnutrition in Pediatric Patients: A Review

Mac¹

2017

Ann Nutr Disord Ther

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“…The nutritional risk screening tools are extremely important in the hospital environment and should be used at the time of admission, because they can early identify factors that affect nutritional status. 9,19,20 The tools for nutritional screening of patients admitted to the NICC are scarce and, in many situations, those that exist are not suitable for Brazilian NICCs. An example is the Neonatal Nutrition Screening Tool (NNST), which uses a test that checks diastolic flow of the umbilical artery as one of its criteria, a parameter that is not routinely adopted in Brazilian public hospitals.…”

Section: Discussionmentioning

confidence: 99%

“…23 For a screening tool of nutritional risk to be considered adequate, it must: measure what it proposes to assess, be practical, simple, effective, and amenable to application by a health professional, be it a nutritionist, nurse or doctor. 19,24 During the validation process, eight judges participated in the critical analysis of the tool. This is the number recommended in literature, which suggests a minimum of five and a maximum of 10 judges to participate in the validation process.…”

Section: Discussionmentioning

confidence: 99%

Construction and Validation of the Neonatal Nutritional Risk Screening Tool

Silvino

Trida

Castro

et al. 2021

Rev. paul. pediatr.

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Objective: To develop and validate both the content and reliability of the Neonatal Nutritional Risk Screening Tool (FARNNeo). Methods: Methodological study, convergent care. The instrument was built prior to the literature review and was analyzed by eight judges, during three cycles of the Delphi technique. The judges assessed their relevance and clarity with responses on the Likert scale with three levels, in addition to suggestions. The validation of the instrument was calculated using the agreement rate and content validity index (CVI). After content validation, the instrument was applied by four assisting nutritionists to verify reliability, using Cronbach`s alpha coefficient and the agreement between the evaluators by the Kappa coefficient. Results: All items of the instrument`s content reached the minimum agreement rate (90%) and/or CVI (0.9), except for item three, which in the first cycle obtained CVI 0.77 and 40% of agreement and, in the second cycle, CVI 0.75 and 38% agreement. At the end of the third cycle, all items had CVI values above 0.9. In the instrument application, alpha of 0.96 and Kappa of 0.74 were obtained, which reflect adequate values of internal consistency and agreement between the evaluators. Conclusions: FARNNeo proved to be reliable, clear, relevant, and reproducible for tracking early nutritional risk, systematizing the care of Brazilian newborns admitted to an intensive care unit.

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“…A desnutrição é uma das doenças nutricionais mais importantes nos países em desenvolvimento devido à sua alta prevalência, aos prejuízos socioeconômicos, à relação com as taxas de mortalidade infantil e, também, tem sido associada ao aumento da morbimortalidade, do tempo de internação e, finalmente, a maiores custos com a hospitalização. [1][2][3][4] Diversos estudos relatam uma alta prevalência da desnutrição na admissão hospitalar infantil e que 15% a 50% das crianças apresentam a piora do estado nutricional durante a internação, porém, ainda são escassas as pesquisas publicadas sobre este assunto. 3,[5][6][7] A triagem de risco nutricional é um método de baixo custo, não invasivo e facilmente aplicável à beira do leito.…”

Section: Introductionunclassified

Associação da Ferramenta de Triagem Nutricional Strongkids com Parâmetros Antropométricos em Crianças

Souza

Luz

Moura

et al. 2019

RPSS

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Objetivos: descrever a prevalência de risco nutricional e verificar a associação da ferramenta de triagem nutricional STRONGkids com os índices antropométricos de peso para idade (P/I), estatura para idade (E/I) e IMC para idade (IMC/I) em pacientes pediátricos. Métodos: estudo transversal e analítico, realizado de abril a outubro de 2015, com 201 pacientes clínicos e cirúrgicos admitidos na enfermaria pediátrica de um hospital universitário no Nordeste brasileiro. A classificação do estado nutricional foi realizada por meio dos escores-z para os índices P/I, E/I e IMC/I e percentis para a circunferência braquial (CB). A ferramenta STRONGkids foi utilizada para determinar o risco de desnutrição. Resultados: a ferramenta STRONGkids revelou que 40,8% dos pacientes apresentaram risco moderado e 4,5%, alto risco para desnutrição. A STRONGkids teve associação significativa com a antropometria, uma vez que, quanto maior o risco nutricional, piores os índices antropométricos que avaliam desnutrição aguda e crônica. Conclusão: os resultados suportam o uso da ferramenta STRONGkids para identificar o risco nutricional em pacientes pediátricos internados, uma vez que a ferramenta mostrou associação com os parâmetros antropométricos de avaliação nutricional.

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Tradução e adaptação cultural da ferramenta Strongkids para triagem do risco de desnutrição em crianças hospitalizadas

Cited by 25 publications

References 15 publications

Hospital Malnutrition in Pediatric Patients: A Review

Hospital Malnutrition in Pediatric Patients: A Review

Construction and Validation of the Neonatal Nutritional Risk Screening Tool

Associação da Ferramenta de Triagem Nutricional Strongkids com Parâmetros Antropométricos em Crianças

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