Most problems can be at least partially solved by defining and influencing the behaviours that underpin them.
By using insights from the behavioural science research and social network analysis, we can avoid making misguided assumptions about the influences on behaviour (what matters to people) and the types of interventions that are likely to work.
Aim: Understand what drives protective health behaviours.
Evidence based: Completed a comprehensive cross sectional analysis of maternal health communication in urban and rural Vanuatu. Utilised the Diffusion of Innovation methodology to frame qualitative (medical anthropology) and quantitative (social network analysis) research components. Established evidence for a strong health promotion methodology that will support scale.
Capacity building: Coordinated data collection undertaken by local field workers: SNA surveys, key informant interviews, focus group discussion and structured observation.
This engagement extended from January of 2010 through to the end of 2016.
Encouraging child friendly communities.
Capacity building: Developed a detailed children protection strategy and toolkit for community expansion across Vanuatu; training and operational support to deliver on-ground capacity building support to community program staff and strengthen community knowledge, attitudes and behaviour.
Evidence base: Co-developed an evaluation framework and mixed method data collection strategy to track longitudinal outcomes. Evaluation and data collection processes were embedded into day-to-day program operations.
Networks: Collaborated with a diverse range of government, not-for profit and community partners at relevant stages of implementation.
This engagement extended from March of 2012 through to the end of 2012.