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Related Concept Videos

Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Assessment of the Gastrointestinal System I: Subjective Data01:17

Assessment of the Gastrointestinal System I: Subjective Data

Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
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Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
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Related Experiment Video

Updated: May 19, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

[Validation of a nutritional screening tool].

Laís S Lima1, Maria Antónia Araujo, Graziela C Ornelas

  • 1Hospital Regional da Asa Norte, Secretaria de Estado de Saúde do Distrito Federal, Brasília, Brasil.

Acta Medica Portuguesa
|August 14, 2012
PubMed
Summary
This summary is machine-generated.

The Nutrition Pre-screening tool effectively identifies patients at nutritional risk, showing substantial agreement with the gold standard. This validated tool aids in early detection and intervention for better patient outcomes.

Related Experiment Videos

Last Updated: May 19, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Area of Science:

  • Clinical Nutrition
  • Healthcare Quality Improvement
  • Patient Assessment Tools

Background:

  • Hospital malnutrition is a growing concern, linked to increased morbidity, mortality, and healthcare costs.
  • Early detection of nutritional risk is crucial for timely intervention and improved clinical outcomes.
  • Existing nutritional assessment methods can be time-consuming, necessitating simpler screening tools.

Purpose of the Study:

  • To validate the efficacy of the Nutrition Pre-screening tool for identifying nutritional risk in hospitalized patients.
  • To assess the tool's applicability upon admission, during nutritional anamnesis, and daily patient visits.

Main Methods:

  • A cross-sectional study involving 196 adult patients in a public hospital's emergency room.
  • Comparison of the Nutrition Pre-screening tool against the Subjective Global Assessment (SGA), a recognized gold standard.
  • Analysis of patient demographics (age, gender) and comparative results from both screening protocols.

Main Results:

  • A substantial agreement was found between the Nutrition Pre-screening tool and SGA, indicated by a Kappa coefficient of 0.80.
  • High diagnostic accuracy was demonstrated: sensitivity of 96.9%, specificity of 80.0%, positive predictive value of 90.65%, and negative predictive value of 92.98%.
  • The study sample comprised 39% females and 61% males.

Conclusions:

  • The Nutrition Pre-screening tool is a validated and efficient method for nutritional risk assessment in hospitalized patients.
  • Its speed, convenience, and ease of application make it suitable for use at various points during hospitalization.
  • The tool's high correlation and predictive values support its reliability in clinical practice for early nutritional intervention.