Using network databases for data fusion to promote youth mental well- being

Abstract

The promotion of mental well-being among youth has been an immediate need for Sweden to reduce the deterioration of health in the next generation of Swedes. To achieve this, various programs have been adopted at the school and municipality levels. While overall observations are made via surveys, it has been difficult to attribute the impact back to strategies employed by municipalities. Different municipalities implement programs and monitor and collect data that affect youth well-being locally. Analysis of these data is difficult, as different data silos across different institutions exist. In this work, we propose the use of a data-fusion approach to compose a common dataset to study youth well-being with data gathered from different departments in Swedish municipalities. We identify the required datasets along with their schemas, metadata and definitions. We develop a network database design using a schema to identify common definitions and related points. We use the developed network-based common dataset to demonstrate queries for data spanning various institutions. We demonstrate this for two municipalities in Stockholm. Finally, we describe future work to employ this dataset in a participatory setting to gain better knowledge of the impact of various programs in different municipalities of different socioeconomic contexts.