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Journal of Public Health Advance Access originally published online on October 17, 2007
Journal of Public Health 2007 29(4):463-471; doi:10.1093/pubmed/fdm065
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© The Author 2007, Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved

Using population-based routine data for evidence-based health policy decisions: lessons from three examples of setting and evaluating national health policy in Australia, the UK and the USA



Elaine H. Morrato, Assistant Professor1

Melinda Elias, Research Officer2,3

Christian A. Gericke, Professor of Public Health Policy3,4,
1 Department of Pediatrics, Preventive Medicine and Biometrics, and Clinical Pharmacy, University of Colorado at Denver and Health Sciences Center, Aurora, CO 80045, USA
2 Department of Health Care Management, WHO Collaborating Centre for Health Systems Research and Management, Berlin University of Technology, Berlin, Germany
3 European Observatory on Health Systems and Policies, Brussels, Belgium
4 Discipline of Public Health, The University of Adelaide, Adelaide, Australia

Address correspondence to Christian A. Gericke, E-mail: christian.gericke{at}adelaide.edu.au


  Abstract

Background The desire for evidence-based health policy and practice is well established. Routine population-based health information systems play a fundamental role to inform policy decisions and to evaluate their effectiveness.

Methods This paper presents three case studies of using population-based data in national health policy from three countries—USA (prescription drug safety), Australia (childhood immunization) and UK (hospital waiting times)—which were chosen to represent a diversity of health policy issues. The utilization of population-based databases and the social and political context in which the data were used are examined. Our goal was to summarize general lessons learned for policy decision-makers and other users and developers of population-based databases.

Results Key lessons presented include: the importance of political will in initiating and sustaining data collection and analysis at a national level; the types of decision-making factors databases can address; and how the data were integrated into the decision-making process.

Conclusion Population-based routine data provide an important piece of the mosaic of evidence for health policy decision makers. They can be used to assess the magnitude of the health problem, including which populations are most vulnerable; to develop policy goals; and to track and evaluate the effectiveness of health policy interventions.

Keywords: decision-making, evaluation, health policy, retrospective databases, routine databases


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