The WHO Falls Prevention for Active Ageing model provides an action plan for making progress in reducing the prevalence of falls in the older adult population. By building on the three pillars of falls prevention, the model proposes specific strategies for:. 1. building awareness of the importance of falls prevention and treatment;. 2. improving the assessment of individual, environmental, and societal factors that increase the likelihood of falls; and. 3. for facilitating the design and implementation of culturally-appropriate, evidence-based interventions that will significantly reduce the number of falls among older persons. The model provides strategies and solutions that will require the engagement of multiple sectors of society. It is dependent on and consistent with the vision articulated in the WHO Active Ageing Policy Framework. Although not all of the awareness, assessment, and intervention strategies identified in the model apply equally well in all regions of the world, there are significant evidence-based strategies that can be effectively implemented in all regions and cultures. The degree to which progress will be made depends on to the success in integrating falls prevention strategies into the overall health and social care agendas globally. In order to do this effectively, it is necessary to identify and implement culturally appropriate, evidence-based policies and procedures. This requires multisectoral collaborations, strong commitment to public and professional education, interaction based on evidence drawn from a variety of traditional, complementary, and alternative sources. Although the understanding of the evidence-base is growing, there is much that is not yet understood. Thus, there is an urgent need for continued research in all areas of falls prevention and treatment in order to better understand the scope of the

problem worldwide. In particular, more evidence of the cost-effectiveness of interconnections is needed to develop strategies that are most likely to be effective in specific setting and population sub-groups.