Improving public health through selected measures at the individual, network, or district level

Purpose and goal

The aim is to find efficient ways to break the unhealthy development in Angered and reduce differences in living conditions. By ´big data´ we become more precise in what efforts are actually having an effect. An interdisciplinary approach can help us translate this learning into new practice. We also examine how ICT can support us in our work. The long term goal is to develop models and tools for both analysis and implementation, and monitoring in near real time, so that the lessons gained can be put into practice in other areas of the same character, both in Sweden and abroad.

Expected results and effects

The project team has developed a basis for further work on a number of predictive model approaches and we have tested the models on a small scale and ensured that they can be used in the project. We have identified digital tools and systems to work with in step 2. Above all, we have an inventory of available and relevant data to use, we have explored the possibility of linking the data and structure databases for data management, and established contact with stakeholders who can contribute with data but also be part of the project team during step 2.

Planned approach and implementation

The research area & target group was defined at meetings, as well as the data & models to be used. We have established additional expertise to the project related to data collection, model builders & interventions. A number of points in the child´s life have been identified where we can obtain measurements from the entire population that can be used to identify risk patterns via algorithms & thus form the basis for immediate intervention. Via interventions we strengthen the knowledge of what has an effect on public health. Then we build system for continuous improvement of effective measure