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Published on: February 18, 2012
Developing and testing a protocol using a common data model for federated collection and analysis of national
Jennifer Zeitlin1, Marianne Philibert1, Francisco Estupiñán-Romero2
1Université Paris Cité, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Obstetrical, Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, Paris, 75004, France.
Insights
This study developed an open-source protocol for comparing European perinatal health data. The protocol enables rapid analysis of maternal and infant health indicators, improving national data systems.
Area of Science:
- Public Health
- Health Informatics
- Epidemiology
Background:
- International comparisons of maternal and infant health are crucial for policy but lack standardized data.
- Health emergencies, like COVID-19, highlight the need for comparable population health data.
- The Population Health Information Research Infrastructure (PHIRI) project addresses data exchange challenges in Europe.
Purpose of the Study:
- To develop and validate a protocol for the federated analysis of European population birth data.
- To establish a framework for consistent and comparable perinatal health indicator reporting across European countries.
- To support health policy and practice through reliable international health benchmarks.
Main Methods:
- The Euro-Peristat network developed a Common Data Model (CDM) and R scripts for data exchange and analysis.
- A consensus process defined variables and common outputs for perinatal indicators.
- The protocol was tested on routine birth data (2015-2020) from 28 countries and four UK nations.
Main Results:
- The Common Data Model (CDM) included 17 core data items for testing, with plans for 18 in an expanded phase.
- 28 countries successfully created databases and ran R scripts to generate anonymous aggregate tables.
- Data completeness varied, with infant death and mode of birth most frequently missing; setup time ranged from days to weeks.
Conclusions:
- The open-source protocol facilitates rapid production and analysis of perinatal health indicators.
- It provides a roadmap for a sustainable European information system and sets minimum standards for national data improvement.
- The protocol can be adopted globally to enhance international comparisons of perinatal health indicators.
Abstract:
Context: International comparisons of the health of mothers and babies provide essential benchmarks for guiding health practice and policy, but statistics are not routinely compiled in a comparable way. These data are especially critical during health emergencies, such as the coronavirus disease (COVID-19) pandemic. The Population Health Information Research Infrastructure (PHIRI) project aimed to promote the exchange of population data in Europe and included a Use Case on perinatal health. Objective: To develop and test a protocol for federated analysis of population birth data in Europe. Methods: The Euro-Peristat network with participants from 31 countries developed a Common Data Model (CDM) and R scripts to exchange and analyse aggregated data on perinatal indicators. Building on recommended Euro-Peristat indicators, complemented by a three-round consensus process, the network specified variables for a CDM and common outputs. The protocol was tested using routine birth data for 2015 to 2020; a survey was conducted assessing data provider experiences and opinions. Results: The CDM included 17 core data items for the testing phase and 18 for a future expanded phase. 28 countries and the four UK nations created individual person-level databases and ran R scripts to produce anonymous aggregate tables. Seven had all core items, 17 had 13-16, while eight had ≤12. Limitations were not having all items in the same database, required for this protocol. Infant death and mode of birth were most frequently missing. Countries took from under a day to several weeks to set up the CDM, after which the protocol was easy and quick to use. Conclusion: This open-source protocol enables rapid production and analysis of perinatal indicators and constitutes a roadmap for a sustainable European information system. It also provides minimum standards for improving national data systems and can be used in other countries to facilitate comparison of perinatal indicators.
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