A toolkit with nine district types to support municipalities in taking an integrated approach to prevention.

BACKGROUND: Not only do people differ in their health, so do districts within municipalities. For example, city centres have different characteristics and health issues than villages or post-war neighbourhoods. This is why the Dutch National Institute for Public Health and the Environment has developed a toolkit, 'Prevention in the district', based on nine different types of district. METHODS: The aim of the toolkit is to help municipalities implement an integrated approach to prevention by providing tailored, practical information. We therefore looked at the best way to improve the connection between the available knowledge and local needs. Based on data analysis, expert opinion and working sessions with professionals and local policymakers, we developed a toolkit with three related tools. RESULTS: The following tools were developed: 1) nine district types with their prominent characteristics and 14 themes for prevention (ranging from loneliness to overweight); 2) a data guide containing a set of indicators to assess the district health profile; 3) a prevention guide containing a mix of evidence-based interventions for the 14 themes. The tools are presented in a toolkit (a clickable PDF) to emphasise the fact that they form a coherent whole. The link between data and interventions is considered to be particularly innovative. CONCLUSION: The three tools support the improvement of the health and well-being of residents in a district. The first indications are that the toolkit empowers municipalities and lets them work towards an integrated approach. An integrated approach in both district health profiles and district plans could also serve as an example for other countries.

Can selective migration explain why health is worse in regions with population decline?: A study on migration and self-rated health in the Netherlands.

BACKGROUND: Health disparities between population declining and non-declining areas have received little attention, even though population decline is an established phenomenon in Europe. Selective migration, in which healthier people move out of deprived areas, can possibly explain worse health in declining regions. We assessed whether selective migration can explain the observed worse average health in declining regions as compared with non-declining regions in the Netherlands. METHODS: Combining data from the Dutch Housing and Living Survey held in 2002 and 2006 with Dutch registry data, we studied the relation between health status and migration in a 5-year period at the individual level by applying logistic regression. In our sample of 130,600 participants, we compared health status, demographic and socioeconomic factors of movers and stayers from declining and non-declining regions. RESULTS: People in the Netherlands who migrated are healthier than those staying behind [odds ratio (OR): 1.80]. This effect is larger for persons moving out of declining regions (OR: 1.76) than those moving into declining regions (OR: 1.47). When controlled for demographic and socioeconomic characteristics, these effects are not significant. Moreover, only a small part of the population migrates out of (0.29%) or into (0.25%) declining regions in the course of 5 years. CONCLUSION: Despite the relation between health and migration, the effect of selective migration on health differences between declining and non-declining regions in the Netherlands is small. Both health and migration are complexly linked with socioeconomic and demographic factors.