Translational Health (PUBH5309)
UNIT OF STUDY
Translational Health introduces the main existing translational methods and models in healthcare, most of which focus on 'knowledge translation' and 'bringing evidence into practice', i.e. on moving results from the basic sciences through clinical and public health science and guidelines into clinical and public health decision and policy making. Most of these models diagnose the problem of 'loss in translation' in terms of institutional and professional barriers and blocks along the translation pathways. While acknowledging these, Translational Health focuses on the modelling method - the 'language' and 'vocabulary' - most likely to perform the translation task effectively in relation to patient-centered practice. The technique underlying the method is Multi-Criteria Decision Analysis (in contrast to conventional Decision Analysis) and the template for its practical implementation is the Annalisa 2.0+ software. It is shown how high quality clinical and public health decision making needs to be based on 'values translation' as well as 'knowledge translation'. And how the approach can facilitate the desirable 'backwards translation' to ensure research is practice-relevant in both content and format. Students choose from a set of topics within which to pursue the principles, follow empirical examples and develop their own analyses in a practicum.
Our courses that offer this unit of study
Further unit of study information
Weekly on-line plus one compulsory day workshop.
Multiple Choice Questions [MCQ] and creation of an original Annalisa Decision Aid construct (30%), 1500-2000 word Report (70%)
Faculty/department permission required?
Study this unit outside a degree
If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.
If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.