1. Development and evaluation of a Behavioural Intervention Grid: LifeGuide The LifeGuide team Social scientists: Lucy Yardley, Susan Michie, Judith Joseph, Leanne Morrison Computer scientists: Dave de Roure, Gary Wills, Mark Weal, Jonathon Hare

2. Q: What are behavioural interventions? A: Packages of advice and support for behaviour change eat a healthy diet cope with illness learn parenting skills use less energy at home work more efficiently

3. Traditional methods of delivering behavioural interventions a) face-to-face, e.g. teacher, therapist, manager expert, personalised effective but resource intensive b) print format, e.g. leaflet generic, no support cheap but low impact

4. Core components of effective behavioural interventions 1. Delivering advice, ‘tailored’; use ‘diagnostic’ questions to select relevant advice from extensive expert resources 2. Providing longitudinal support, e.g. plans, reminders progress monitoring progress-relevant feedback social support (therapist, peers)

7. Advantages of internet-delivered interventions For intervention delivery include: Cost-effective interactivity -- can automate delivery of tailored, personalised advice and support to huge population Access/reach -- available 24/7, accessible from home/work/mobile, anonymous For intervention assessment include: Unobtrusive detailed assessment -- can easily collect longitudinal data on use/effects of each intervention component in large samples

8. The need for a Behavioural Intervention Grid Currently each internet-delivered behavioural intervention is programmed individually, cannot then be changed. Developing software to allow researchers to flexibly create and modify interventions will: a) have immediate pragmatic benefits b) create the potential for more rapid and powerful development of behavioural science

9. Pragmatic benefits of a behavioural intervention grid Improve cost-effectiveness of research – eliminate duplication of programming Improve access to internet-based intervention research (e.g. to students, junior researchers) Speed up modification/evaluation cycle, rapidly optimise intervention

10. The social science potential of a Behavioural Intervention Grid Each modification/evaluation cycle tests theories on which intervention components are based Networks of researchers can a) share intervention components b) collaboratively collect much larger datasets allowing mediation and moderation analyses of effects of intervention components

11. Longer-term scientific potential of a Behavioural Intervention Grid Foundation for a future ‘population laboratory’; semantically enriched, adaptive grid using automatic data collection to continuously model/refine interventions

12. Planned work of this node 2 overlapping, staggered phases: Phase 1: Develop/test software to provide tailored advice Phase 2: Develop/test software to support sustained behaviour Co-design and software development Pilot evaluation and software modification Substantive test: collaborative studies Dissemination (throughout)

13. Service Oriented Architecture Portal interface + loosely coupled set of web services; permits easy updating and integration with other web services software

14. Basis for co-design of software experience/prior work of team members and expert collaborators; workshops throughout development– expert and junior researchers, different disciplines internet consultations with networks of behavioural researchers systematic search of literature and internet to identify all techniques used for delivery of PC- based interventions

15. System development Builds on techniques using Web for e-Science established through - Semantic Grid e.g. use of Resource Description Framework - Web 2.0 projects like myExperiment Builds on grid experience to support data capture and analysis Informs emerging practice in e-Science for everyday research

16. Pilot evaluations of LifeGuide (plus linked studentship) Observational and ‘think-aloud’ interview studies of researchers’ and lay users’ experiences explore accessibility, usability, credibility, satisfaction, impact on behaviour Quantitative data from 100 lay users: patterns of usage responses to website questions and advice views of website

17. Substantive test of LifeGuide 1. Randomise 2000 users to generic vs. tailored advice to self-care for colds/flu SEM analysis of cognitive mediators of outcome Analyse individual differences moderating outcome

18. lifeguideonline.org