Charlotte Dack*, University College London, London, United Kingdom Kingshuk Pal*, University College London, London, United Kingdom Jamie Ross*, University College London, London, United Kingdom Fiona Stevenson, University College London, London, United Kingdom Susan Michie*, University College London, London, United Kingdom Elizabeth Murray*, University College London, London, United Kingdom Track: Research Presentation Topic: Web 2.0 approaches for behaviour change, public health and biosurveillance Presentation Type: Poster presentation Submission Type: Single Presentation Last modified: 2013-09-25

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Background: Synthesising multiple theoretical perspectives and data sources may be necessary to develop effective and widely implemented behaviour change interventions, but it is unclear how best to do this.
Objectives: To describe an interdisciplinary protocol for combining theory and data to develop an online self-management programme for adults with Type2 Diabetes.
Methods: Guided by Corbin and Strauss’ work on living with chronic illness we combined data from systematic reviews, qualitative studies of user perspectives and evidence based guidelines with a new taxonomy of behaviour change techniques and a sociological theory of implementing, embedding and integrating new interventions (Normalization Process Theory). This involved an interdisciplinary approach of analysing, evaluating and combining empirical, theoretical and methodological contributions from medicine, psychology, and sociology.
Results: We will present the protocol used in our synthesis and the methodological advantages and disadvantages when using an interdisciplinary approach to designing a self-management intervention.
Conclusions: The synthesis of data and theory from many scientific disciplines could help inform policy and practice leading to more appropriate and effective interventions to promote self-management behaviours. It is important that the procedures and challenges involved in combining such data are well defined for other researchers to replicate and evaluate these methods.