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Translational Health

PUBH5309

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.

Unit of study details

Unit of study level: Postgraduate

Credit points: 2

Commencing semesters: 10

Further unit of study information

Unit of study handbook: PUBH5309

Costs and scholarships information: Costs and Scholarships

Final dates to withdraw from units of study: Census Dates

Available for study abroad and exchange: No

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