Population and preventive health research and evaluation in NSW

We support population and preventive health research and innovation in NSW Health, with the aim of keeping people healthy and improving health outcomes.

We achieve this by identifying and enabling quality, high-priority research and facilitating its effective use.

We enable population health research through:

• funding the Prevention Research Support Program
• supporting other prevention research and partnership grants
• enabling population health research capability by developing and maintaining population health data assets and providing data linkage services through the Centre for Health Record Linkage

• Overview of NSW Health population research
• Prevention Research Support Program
• Partnership grants
• Research assets
• Publications

We conduct and support evaluations of large-scale and high priority NSW Health initiatives.

This ensures methods are fit-for-purpose and results are shared and translated into practice.

• NSW Treasury Evaluation Guidelines
• Evaluation reports

We support prevention and early intervention research in NSW by funding research organisations through the Prevention Research Support Program (PRSP). Round 7 (2026-2030) focuses on research consortiums aligned with NSW Health population research priorities.

Prevention Research Support Program

We lead and support applied Aboriginal health research and evaluation, with a focus on identifying evidence-based approaches and implementing what works for Aboriginal people in NSW.

• AH&MRC Ethics Guidelines: Key Principles
• NHMRC - Ethical guidelines
• Research engagement with Aboriginal and Torres Strait Islander Communities

We build research and evaluation capability by providing guides, presentations, face-to-face training and online learning modules.

Explore resources by topic:

• Economic evaluation
• Program evaluation
• Program logic
• Study design
• Qualitative evaluation methods
• Scalability
• Critical appraisal
• Research prioritisation
• Research impact assessment
• Implementation science