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Newborn screening data management: proposing a framework for Iran.

Haleh Ayatollahi1, Sara Karimi2, Maryam Ahmadi3

  • 1. ayatollahi.h@iums.ac.ir.

Journal of Innovation in Health Informatics
|January 24, 2019
PubMed
Summary
This summary is machine-generated.

This study proposes a data management framework for newborn screening in Iran, comparing international methods to enhance child health strategies and research through organized data. The framework addresses key areas for effective newborn screening data handling.

Keywords:
Neonatal screeninghealth information managementnewbornpublic health

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Area of Science:

  • Public Health
  • Health Informatics
  • Data Management

Background:

  • Newborn screening data management varies globally.
  • International practices present diverse approaches to handling critical newborn health information.

Purpose of the Study:

  • To compare international newborn screening data management methods.
  • To propose an optimized framework for Iran's newborn screening data management.

Main Methods:

  • Comparative analysis of data management systems in America, England, and Australia.
  • Utilized electronic databases, official health websites, questionnaires, and document review for data collection.

Main Results:

  • A six-component framework for newborn screening data management was developed.
  • Key areas include objectives, involved organizations, data elements, collection processes, classification systems, and quality control.

Conclusions:

  • The proposed framework can reorganize newborn screening with enhanced data management.
  • Improved data management facilitates research and strategy development for child health improvement.