Profiling Databases to Facilitate Comparison of Child Health Systems Across Europe Using Standardised Quality Markers

Harshana Liyanage1, Stacy Shinneman1, Uy Hoang1

  • 1Department of Clinical & Experimental Medicine, University of Surrey, UK.

Insights

This study details a metadata schema for appraising child health data across Europe. It enables identification of data on 10 key pediatric health indicators in 30 countries.

Area of Science:

  • Pediatric Health Services Research
  • Health Informatics
  • Comparative Health Systems Analysis

Background:

  • Child primary healthcare models differ significantly across European nations, broadly categorized into pediatrician-led, general practitioner-led, or mixed systems.
  • The Models of Child Health Appraised (MOCHA) project aims to compare these diverse healthcare models.
  • A standardized method for identifying and appraising relevant data sources is crucial for cross-national comparative analysis.

Purpose of the Study:

  • To describe the metadata schema developed for the MOCHA project.
  • To outline the MOCHA International Research Opportunity Instrument (MIROI) used for data source appraisal.
  • To demonstrate the schema's utility in identifying data relevant to specific pediatric clinical indicators.

Main Methods:

  • Development of a metadata schema tailored for profiling candidate data sources.
  • Application of the MOCHA International Research Opportunity Instrument (MIROI) for appraisal.
  • Inclusion of ten key clinical indicators: asthma, antibiotic stewardship, immunisation, rickets, diarrhea, epilepsy, attention deficit hyperactivity disorder (ADHD), enuresis, depression, and pregnancy care.

Main Results:

  • The developed metadata schema effectively identifies data within various sources related to the ten specified clinical indicators.
  • Across 30 European countries, a range of 5 to 36 distinct databases were found for each clinical indicator.
  • This highlights significant variation in data availability and structure for child health research across Europe.

Conclusions:

  • The MIROI metadata schema provides a robust framework for systematically appraising child health data sources.
  • It facilitates the identification of relevant data for comparative analysis of pediatric healthcare models across Europe.
  • The schema supports the MOCHA project's goal of understanding and comparing child health service delivery.

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