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Presentation to the The Nordic Council of Ministers
WHO Global
Observatory on Health
Research &
Development (R&D)
Tim Nguy...
2 |
Approaches to supporting R&D – where no market
incentives
Funding mechanisms – how to fund the risk of R&D
Pooling res...
3 |
R&D Observatory for health
Improved coordination for health R&D
Financing
Demonstration projects
66th World Health Ass...
Global Observatory on Health R&D
Regional &
Country
databases
National
Health
Accounts
(NHA)
Global Health
Observatory
(GH...
5 |
Vision and principles
 Build on what already exists
– Regional and national health R&D observatories and databases
– ...
6 |
Focus of data collection in initial phases
1. What research is being conducted:
– for what health problem/area (e.g. t...
7 |
Challenges to data collection
 Data may be available in various forms and for various
reasons, e.g. funding databases...
8 |
Approach to address challenges
 Aim to include and harmonize data from as many
sources as possible
– mapping various ...
9 |
Development of the Observatory
 2015: Early stages of developing the platform, its
structure, functionalities, data s...
10 |
Gracias
 Acknowledgments
– Taghreed Adam, World Health Organization
– Roderik Viergever, World Health Organization
–...
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WHO Global Observatory on Health Research & Development

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Presentation by Tim Nguyen, Unit Leader, Evidence and Information for Policy-Making, Division of Information, Evidence, Research and Innovation, WHO Regional Office for Europe.

Published in: Government & Nonprofit
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WHO Global Observatory on Health Research & Development

  1. 1. Presentation to the The Nordic Council of Ministers WHO Global Observatory on Health Research & Development (R&D) Tim Nguyen Unit leader Evidence and Information for Policy-Making Division of Information, Evidence, Research and Innovation tng@euro.who.int
  2. 2. 2 | Approaches to supporting R&D – where no market incentives Funding mechanisms – how to fund the risk of R&D Pooling resources Strengthening research and development capacity and technology transfer Coordination Implementation through a binding global instrument for R&D and innovation for health Main Recommendations of the CEWG* Report *Consultative Expert Working Group on Research and Development: Financing and Coordination
  3. 3. 3 | R&D Observatory for health Improved coordination for health R&D Financing Demonstration projects 66th World Health Assembly resolution
  4. 4. Global Observatory on Health R&D Regional & Country databases National Health Accounts (NHA) Global Health Observatory (GHO) WHO Sources Int. Clinical Trial Registry (ICTRP) Commissioned primary data Literature databases (PubMed, etc.) Funding flows (G Finder, etc) Funders databases R&D Pipeline (Emory etc) OECD, UNESCO Mega database(s) WHO Global R&D Observatory Portal Generate ReportsDownload Data Analysis: -R&D gap identification -Priority setting External Sources
  5. 5. 5 | Vision and principles  Build on what already exists – Regional and national health R&D observatories and databases – Existing global databases on health R&D  Scope: all types of health research  Launched in phases - phase 1: early 2016  Keep user’s needs in mind  Keep future technological needs in mind
  6. 6. 6 | Focus of data collection in initial phases 1. What research is being conducted: – for what health problem/area (e.g. tuberculosis, cancer, disability) – what type of research (e.g. epidemiological, product development) – for what type of intervention (e.g. vaccine, drug, …) and if possible the intervention name (product name) and the stage of development (e.g. discovery, pre-clinical, phase I,II,III) 2. By whom: names of organizations conducting and funding the research and if possible the type of organization (e.g. academic, industry). 3. Where: the countries that are undertaking or funding the research.
  7. 7. 7 | Challenges to data collection  Data may be available in various forms and for various reasons, e.g. funding databases, ethics approval databases, clinical trials registries, publications databases.  Often not with R&D monitoring as an objective, as a result – the data sources often do not include all desirable data – data are often not collected using standardized classifications
  8. 8. 8 | Approach to address challenges  Aim to include and harmonize data from as many sources as possible – mapping various classification systems where possible – using data mining and automated techniques to classify uncategorized data – actively engaging with data source owners to consider using standard classifications  Contribute to methods and standards development, and capacity building to collect and use the data
  9. 9. 9 | Development of the Observatory  2015: Early stages of developing the platform, its structure, functionalities, data sources, elements etc  Early 2016: launch of Phase 1 – online portal with data on a basic set of health R&D indicators and a limited set of diseases.  2016 onwards: expansion of number of data sources, data elements, and functionalities of the Observatory. More information on: www.who.int/research-observatory
  10. 10. 10 | Gracias  Acknowledgments – Taghreed Adam, World Health Organization – Roderik Viergever, World Health Organization – Robert Terry, World Health Organization

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