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Determining the minimum data elements to develop a child malnutrition registry system.

Malihe Sadeghi1,2, Mostafa Langarizadeh3, Beheshteh Olang4

  • 1Cancer Research Center, Semnan University of Medical Sciences, Semnan, Iran. sadeghiii.m@gmail.com.

BMC Medical Informatics and Decision Making
|December 30, 2024
PubMed
Summary

This study identified essential data elements for a Child Malnutrition Registry System (CMRS). The designed dataset will improve child malnutrition data collection and strategic planning.

Keywords:
ChildrenDatasetDelphi techniqueMalnutritionRegistry system

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Area of Science:

  • Pediatrics
  • Public Health
  • Health Informatics

Background:

  • Child malnutrition is a global health crisis requiring robust data for effective policy.
  • Registry systems are crucial for collecting and managing child malnutrition data.
  • Dataset design is the foundational step for developing registry systems.

Purpose of the Study:

  • To determine the minimum data elements for a Child Malnutrition Registry System (CMRS).

Main Methods:

  • A descriptive, cross-sectional study design was employed.
  • Data elements were extracted from literature, existing systems, and expert interviews.
  • Validation was performed using an expert panel and the Delphi technique with a 75% agreement criterion.

Main Results:

  • A dataset was designed with minimum data elements for the CMRS.
  • The dataset includes 47 administrative data elements (demographic, socioeconomic, healthcare providers) and 251 clinical data elements (covering medical history to follow-up).

Conclusions:

  • A comprehensive dataset is essential for developing effective children's malnutrition registry systems.
  • This study's findings can address gaps in child malnutrition data collection, storage, and analysis.
  • The developed dataset supports strategic planning for improved child malnutrition outcomes.