Observatory indicators will produce well-informed needs assessment
The WOAH Observatory analyses a wide range of data compiled from both internal and external sources to produce annual and thematic reports. The purpose is to identify factors that may be limiting the proper implementation of WOAH standards within a WOAH Member’s national Veterinary Services and to successfully address them.
Internal data sources include the PVS Pathway, the World Animal Health Information System (WAHIS), Members’ self-declarations of disease status and officially recognised disease status, etc. External sources comprise international organisations, such as the World Trade Organization, Food and Agriculture Organization of the United Nations and the World Bank.
Based on these reports, the Training Platform will be able to conduct a well-informed needs assessment of a Member’s ability to fulfil the WOAH texts and recommend active and passive learning programmes to improve their performance.
A set of WOAH Training Guidelines on learning needs assessment is currently under development. This will set the groundwork for a mechanism to routinely integrate the work of the Observatory. It will also allow WOAH to evaluate whether this mechanism should be automated, with the support of a central data system.
As a result, the Training Platform will be able to develop customised training programmes, providing learning-based solutions, to help Members who currently have limited capacity to implement the WOAH standards.
Providing feedback on the impact of WOAH training
The Platform will also systematically assess the medium- to long-term impact of such WOAH training on strengthening Veterinary Services, and this information will be also ‘fed back’ to the Observatory.
Impact Assessment Guidelines will be developed to support this phase of the project. If the impact turns out to be negligible, then the training programmes will be reviewed accordingly. If the report shows that Veterinary Services capacity has improved and that WOAH standards are being met more successfully, then these results will be automatically channelled back to the Observatory for consideration in its future analyses.