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1.
Arch Public Health ; 78: 55, 2020.
Article in English | MEDLINE | ID: mdl-32537143

ABSTRACT

BACKGROUND: The availability of data generated from different sources is increasing with the possibility to link these data sources with each other. However, linked administrative data can be complex to use and may require advanced expertise and skills in statistical analysis. The main objectives of this study were to describe the current use of data linkage at the individual level and artificial intelligence (AI) in routine public health activities, to identify the related estimated health indicators (i.e., outcome and intervention indicators) and health determinants of non-communicable diseases and the obstacles to linking different data sources. METHOD: We performed a survey across European countries to explore the current practices applied by national institutes of public health, health information and statistics for innovative use of data sources (i.e., the use of data linkage and/or AI). RESULTS: The use of data linkage and AI at national institutes of public health, health information and statistics in Europe varies. The majority of European countries use data linkage in routine by applying a deterministic method or a combination of two types of linkages (i.e., deterministic & probabilistic) for public health surveillance and research purposes. The use of AI to estimate health indicators is not frequent at national institutes of public health, health information and statistics. Using linked data, 46 health outcome indicators, 34 health determinants and 23 health intervention indicators were estimated in routine. The complex data regulation laws, lack of human resources, skills and problems with data governance, were reported by European countries as obstacles to routine data linkage for public health surveillance and research. CONCLUSIONS: Our results highlight that the majority of European countries have integrated data linkage in their routine public health activities but only a few use AI. A sustainable national health information system and a robust data governance framework allowing to link different data sources are essential to support evidence-informed health policy development. Building analytical capacity and raising awareness of the added value of data linkage in national institutes is necessary for improving the use of linked data in order to improve the quality of public health surveillance and monitoring activities.

2.
Arch Public Health ; 71(1): 12, 2013.
Article in English | MEDLINE | ID: mdl-23721296

ABSTRACT

BACKGROUND: Public health policies aim to improve and maintain the health of citizens. Relevant data and indicators are needed for a health policy that is based on factual information. After 14 years of work (1998-2012), the multi-phase action on European Community Health Indicators (ECHI) has created a health monitoring and reporting system. It has generated EU added value by defining the ECHI shortlist with 88 common and comparable key health indicators for Europe. METHODS: In the 2009-2012 Joint Action for ECHIM project the ECHI shortlist was updated through consultation with Member State representatives. Guidelines for implementation of the ECHI Indicators at national level were developed and a pilot data collection was carried out. RESULTS: 67 of the ECHI Indicators are already part of regular international data collections and thus available for a majority of Member States, 14 are close to ready and 13 still need development work. By mid-2012 half of the countries have incorporated ECHI indicators in their national health information systems and the process is ongoing in the majority of the countries. Twenty-five countries were able to provide data in a Pilot Data Collection for 20 ECHI Indicators that were not yet (fully) available in the international databases. CONCLUSIONS: The EU needs a permanent health monitoring and reporting system. The Joint Action for ECHIM has set an example for the implementation of a system that can develop and maintain the ECHI indicators,, and promote and encourage the use of ECHI in health reporting and health policy making. The aim for sustainable public health monitoring is also supported by a Eurostat regulation on public health statistics requiring that health statistics shall be provided according to the ECHI methodology. Further efforts at DG SANCO and Eurostat are needed towards a permanent health monitoring system.

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