Intervention - Gap-Bridging
This research group wishes to bridge the gap between policy, practice and research in current public health work
About the group
In joint effort with the Norwegian WHO Healthy Cities Network (Sunne kommuner) and nine selected municipalities (Asker, Bodø, Kristiansand, Gol, Hemsedal, Hol, Nes, Ål, Flå), this research group will seek to bridge the gap between policy, practice, and research in current public health work.
This gap substantially limits progress in all the respective fields. The research group will provide new models and structures for collaboration with local (municipality and county) decision makers in order to strengthen the quality of planning, local adaption, implementation and evaluation of interventions. More specifically, we will
create a municipality-based system for measuring and identifying needs
select and implement good measures and practices in partnership with municipalities
evaluate the impact of selected interventions using both quantitative and qualitative research methods
deliver a manual for inter-sectorial municipality-based co-creation of mental health
Strong partnership between the different stakeholders will contribute to improve the use of research evidence in policy and practice decisions, and provide new insights on the effect of policies and interventions.
By applying and testing research findings in the municipal laboratory, it may also bring PROMENTA’s research further. The subproject rests on four pillars, namely
Co-Creation (i.e., active user involvement)
The Mental Health-in-All-Policies framework (MHiAP)
A number of existing and new data sources, including quantitative (e.g., Ungdata, national register information, health survey data) and qualitative (interviews, focus groups and observations) data, will be analysed using an extensive tool kit of methodological approaches.
We will compare changes in target municipalities with those in other, comparable regions, and changes within municipalities over time. In at least six municipalities, a comprehensive quality of life survey will secure nuanced information on the citizens’ health, quality of life, satisfaction with their community and the services provided.
We will also explore the potential for including intervention-specific items in these surveys for evaluation purposes. Combined with other data sources (e.g., register information), these survey data will aid the municipalities in identifying unique opportunities and needs, and provide rich data for impact evaluation.
Survey and register data will also be used to examine the links between the level of key community factors (e.g., depressive symptoms, trust, loneliness, income distribution) and illness incidence (e.g., specific diagnoses).
In sum, the research group will aim to co-create an information loop and evaluation system with the participating municipalities to promote population mental health and reduce social inequalities.