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Related Experiment Video

Updated: Jun 28, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current

Shahrbanoo Pahlevanynejad1,2, Navid Danaee3, Reza Safdari4

  • 1Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.

Journal of Biomedical Physics & Engineering
|April 17, 2024
PubMed
Summary

Registries for premature infants and low birth weight (LBW) neonates are crucial for improving care and research. This study proposes a framework to standardize prematurity registries, enhancing data collection and clinical knowledge acquisition.

Keywords:
Computer Systems DevelopmentInformation SystemsNewborn and NeonatalPremature BirthRegistriesSystematic Review

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Area of Science:

  • Neonatal care and registry development
  • Health informatics and data management
  • Public health and epidemiology

Background:

  • Registries are vital for data on premature and low birth weight (LBW) neonates.
  • They aid in improving care and advancing research in neonatology.
  • Standardized data collection is essential for effective registry utilization.

Purpose of the Study:

  • To systematically review existing prematurity registries.
  • To adapt a minimum data set for premature infant registries.
  • To propose a framework for developing standardized prematurity registries.

Main Methods:

  • A systematic review of electronic databases (PubMed, Scopus, Web of Science, etc.) and gray literature.
  • Screening of titles, abstracts, and full texts following PRISMA guidelines.
  • Extraction and analysis of registry information, scope, type, data source, purpose, and variables.

Main Results:

  • Fifty-six papers were included, detailing 51 prematurity systems/databases across 34 countries (1963-2017).
  • A prematurity registry framework was developed based on data, information, and knowledge structure.
  • The framework serves as a central model for information and knowledge management.

Conclusions:

  • This systematic review offers a comprehensive overview of prematurity-related registries.
  • The proposed framework can guide the development of new registries adhering to international standards.
  • It facilitates high-value clinical data collection for enhanced clinical knowledge and improved neonatal outcomes.