Validation and Impact of Paediatric Malnutrition Screening Tool in Hospitalised Children (STAMP)

January 16, 2021 updated by: raanan shamir, Rabin Medical Center

Validation and Impact of Paediatric Malnutrition Screening Tool in Hospitalised Children on Medical Staff Awareness and Health-Related Outcomes

Children hospitalized due to an acute disease may suffer from acute malnutrition or chronic malnutrition caused by chronic diseases.

We aimed to evaluate the use of the Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) among children admitted in a pediatric hospital, and assess its effect on medical staff's awareness to nutritional status and health outcomes at discharge.

Study Overview

Status

Completed

Conditions

Detailed Description

Malnutrition prevalence upon admission to paediatric hospitals remains considerably high, ranging from 7.3 to 17.9% in the developed world with higher prevalence rates in infants and toddlers and particularly high rates for specific medical conditions. Several studies have reported deterioration of nutritional status during hospitalization. Screening children for malnutrition risk is recommended by a number of international organizations such as the American Society for Parenteral and Enteral Nutrition (ASPEN), the European Society for Parenteral and Enteral Nutrition (ESPEN) and the European Society for Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN).

Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) was chosen for this study because it is highly applicable, frequently used by nurses and has shown high reproducibility, as well as concurrent and predictive validity. The tool was developed by McCarthy et al11 in England. It collects the following information to assess nutritional risk for a patient: discrepancy between the weight and height percentile weight for the age expected nutritional risk caused by clinical diagnosis, recent changes in the appetite. The assessment results are used to define if there is a need for a referral to a full nutritional assessment.

We aimed to evaluate the use of the Screening Tool for the Assessment of Malnutrition in Pediatrics among children admitted in a pediatric hospital, and assess its effect on medical staff's awareness to nutritional status and health outcomes at discharge.

Study Type

Interventional

Enrollment (Actual)

484

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Petach Tikva, Israel, 49202
        • Schneider Children's Medical Center of Israel

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

1 year to 17 years (Child)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • patients hospitalized during the study,
  • patients hospitalized for more than 24 hours. The children will be enrolled from 3 internal medicine and surgical departments, children's parents will give their consent and will be able to understand and sign the consent forms

Exclusion Criteria:

  • children < 1 year of age,
  • children > 17 years of age,
  • children hospitalized for less than 24 hours,
  • children in the intensive care unit or following hospitalization in the intensive care unit.

Statistical analysis for STAMP validation will be performed using Kappa (K) test. Chi square test will be used in order to calculate the effect of STAMP use

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: STAMP using
Relevant to the third part of the study. 30 Children between 1 and 17 years of age from internal medicine department will undergo a complete evaluation by an investigating dietician and assessment by the STAMP tool in order to determine the extent of the nutritional risk on a numerical scale.
Children will undergo a complete evaluation by an investigating dietician and assessment by the STAMP tool in order to determine the extent of the nutritional risk on a numerical scale. According to findings children will get the dietary recommendations.
Other Names:
  • STAMP using
Other: No STAMP using
Relevant to the third part of the study. Other 30 children that are not screened by dietitian and either not by STAMP
The Placebo Comparator arm children got the classic care that practiced in hospitalization
Other Names:
  • No STAMP using

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Validity and reliability
Time Frame: one year
The growth chart tables accepted in England, CDC (Centers for Disease Control will be used in order to compare weight and height and generate them into the BMI. The children will be divided into 3 nutritional risk groups: low, moderate and high according to the STAMP toll assessment and the results will be compared to the dietician's complete assessment. Nutritional assessment will include: demographic and medical data, daily nutritional intake, blood tests, anthropometric measurements.
one year
Effect of STAMP on staff's awareness to nutritional status
Time Frame: one year
Methods for testing the effect of STAMP tool use on the attitude of the medical staff to the nutritional status, measured by collection of data related to the nutritional status and recording them in the patient's file.
one year
Health outcome at discharge: weigh (KG)
Time Frame: one year
Health outcomes on the discharge of the children who are screened by STAMP will be compared to outcomes of children are not. The data for this comparison includes weight changes during hospitalisation measured in Kg. and changes in haemoglobin and albumin levels. Controls are matched by age, gender, and STAMP risk score will be calculated based on the retrieved information from medical files.
one year
Health outcome at discharge: length of stay (number of days)
Time Frame: One year
Health outcomes on the discharge of the children who are screened by STAMP will be compared to outcomes of children are not. The data for this comparison includes length of stay (LOS). Controls are matched by age, gender, and STAMP risk score will be calculated based on the retrieved information from medical files.
One year
Health outcome at discharge: number of recurrent hospitalisations
Time Frame: One year
Health outcomes on the discharge of the children who are screened by STAMP will be compared to outcomes of children are not. The data for this comparison includes the number of recurrent hospitalisations. Controls are matched by age, gender, and STAMP risk score will be calculated based on the retrieved information from medical files.
One year
Health outcome at discharge: haemoglobin (g/dl)
Time Frame: One year
Health outcomes on the discharge of the children who are screened by STAMP will be compared to outcomes of children are not. The data for this comparison includes changes in haemoglobin during hospitalisation. Controls are matched by age, gender, and STAMP risk score will be calculated based on the retrieved information from medical files.
One year
Health outcome at discharge: albumin (g/dl)
Time Frame: One year
Health outcomes on the discharge of the children who are screened by STAMP will be compared to outcomes of children are not. The data for this comparison includes changes in albumin levels during hospitalisation. Controls are matched by age, gender, and STAMP risk score will be calculated based on the retrieved information from medical files.
One year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

May 1, 2012

Primary Completion (Actual)

July 1, 2018

Study Completion (Actual)

July 1, 2018

Study Registration Dates

First Submitted

February 22, 2012

First Submitted That Met QC Criteria

March 22, 2012

First Posted (Estimate)

March 27, 2012

Study Record Updates

Last Update Posted (Actual)

January 20, 2021

Last Update Submitted That Met QC Criteria

January 16, 2021

Last Verified

January 1, 2021

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • RMC12-6634

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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