STRONGkids validation: tool accuracy

Juliana Rolim Vieira Maciel1, Eduardo Yoshio Nakano2, Kênia Mara Baiocchi de Carvalho1

  • 1Universidade de Brasília, Departamento de Nutrição, Programa de Pós-Graduação em Nutrição Humana, Brasília, DF, Brazil.

Jornal De Pediatria
|April 28, 2019
PubMed

Insights

The STRONGkids screening tool accurately identifies nutritional risk in hospitalized children, demonstrating high sensitivity for early detection. This validation supports its use in pediatric populations to assess malnutrition prevalence.

Area of Science:

  • Pediatric Nutrition
  • Clinical Assessment Tools
  • Public Health

Background:

  • Malnutrition and nutritional risk are significant concerns in hospitalized children.
  • Accurate and efficient screening tools are crucial for timely intervention.
  • The Screening Tool for Risk on Nutritional status and Growth (STRONGkids) is a potential tool for this purpose.

Purpose of the Study:

  • To validate the accuracy of the STRONGkids tool in hospitalized children.
  • To estimate the prevalence of malnutrition and nutritional risk in this population.

Main Methods:

  • A cross-sectional study was conducted in ten pediatric emergency rooms.
  • Anthropometric measurements (weight, height, arm circumference) and Z-scores were collected.
  • The STRONGkids tool was applied, and its accuracy was tested against anthropometric data using sensitivity, specificity, and predictive values.

Main Results:

  • The study evaluated 271 children; 12.18% had malnutrition and 33.95% were at nutritional risk based on anthropometry.
  • The STRONGkids tool identified 78.60% of children as being at nutritional risk.
  • The tool demonstrated a sensitivity of 84.8%, specificity of 26.7%, PPV of 49.8%, and NPV of 67.2%.

Conclusions:

  • The STRONGkids tool's accuracy was validated, showing high sensitivity.
  • This suggests the tool is effective for the early identification of nutritional risk in hospitalized children.
  • The findings support the use of STRONGkids in similar pediatric populations.
Abstract

Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.8K
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.1K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.6K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
100.5K
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
14.8K
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
1.1K