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Aims and scope

Health Research Policy and Systems covers all aspects of the organisation and use of health research – including agenda setting, building health research capacity, and how research as a whole benefits decision makers, practitioners in health and related fields, and society at large.

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All Health Systems Global members receive a 20% discount on Health Research Policy and Systems Article Processing Charges (APCs). To claim the discount, please contact the Secretariat at to obtain the BMC journals' discount code.


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Featured opinion

Evidence-based policymaking is not like evidence-based medicine, so how far should you go to bridge the divide between evidence and policy?
Health Research Policy and Systems (2017) 15:35

Paul Cairney and Kathryn Oliver conclude that successful engagement in ‘evidence-based policymaking’ requires pragmatism, combining scientific evidence with governance principles, and persuasion to translate complex evidence into simple stories.

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Featured article

Identifying priority technical and context-specific issues in improving the conduct, reporting and use of health economic evaluation in low- and middle-income countries

Health Research Policy and Systems (2018) 16:4

The authors aim to identify the top priority issues that impede the conduct, reporting and use of economic evaluation as well as potential solutions as an input for future research topics by the international Decision Support Initiative and other movements.


Fadi El-Jardali, American University of Beirut, Lebanon
Tari Turner, Monash University, Australia

Featured supplement

Using Theories of Change to inform implementation of health systems research and innovation: experiences of Future Health Systems consortium partners in Bangladesh, India and Uganda

Health Research Policy and Systems (2017) 15(Suppl 2):109

The Theory of Change (ToC) is a management and evaluation tool supporting critical thinking in the design, implementation and evaluation of development programmes. The ToC development and revision process helped Future Health Systems research teams to reflect on, and make their assumptions and mental models about their respective interventions explicit.

This article is part of the Supplement on Engaging Stakeholders in Implementation Research: tools, approaches, and lessons learned from application.

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