Background: Collaborations are important to health promotion in addressing multi-party problems. Interest in collaborative processes in health promotion is rising, but still lacks monitoring instruments. The authors developed the DIagnosis of Sustainable Collaboration (DISC) model to enable comprehensive monitoring of public health collaboratives. The model focuses on opportunities and impediments for collaborative change, based on evidence from interorganizational collaboration, organizational behavior and planned organizational change. To illustrate and assess the DISC-model, the 2003/2004 application of the model to the Dutch wholeschool health promotion collaboration is described.
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a b s t r a c tObjectives: The main objective of this study is to explore the opinion of 16-22-year olds on alcohol policy measures compared to the opinion of adults older than 22 years. Methods: Data was collected in 2008 by using a Dutch panel. This panel was based on a representative probability of households with 8280 members of 16 years and older. The study had a cross-sectional design and questionnaires were filled out through internet.Results: According measures related to the availability of alcohol, the 16-18-and 19-22-year olds are significantly more negative about these policy measures than the respondents older than 22 years. Educational measures were more popular than restrictive availability measures among all three groups, and the opinions of the groups differed significantly from each other. Own alcohol use seemed to be the main predictor for the opinion on restrictive availability measures. Conclusions: The 16-22-year olds are more negative regarding restrictive availability measures and educational measures than adults older than 22 years, and the restrictive availability measures are less popular than the educational measures among the adolescents.
Aim: The aim of this study was to examine the opinion on Dutch cannabis policy measures and to explore whether the popularity of these policy measures depends on the extent to which lay people are affected by these measures. The extent to which people are affected has been made operational by:(1) own cannabis use and (2) cannabis use in social network. Methods: A panel survey was carried out among a representative probability of households with 8280 members of above 16 years. People's opinions were examined on four restrictive availability measures and two educational measures. Descriptives, oneway ANOVA and regression analysis were used to obtain the opinion on cannabis policy measures. Findings: The educational measures were popular among more than 90% of all respondents. The measures that restrict the availability of cannabis were more popular among non-users than among users. Having cannabis users within a social network made a significant difference to the opinion on cannabis policy measures. Own cannabis use seems to be the strongest predictor for the opinion of restrictive availability measures. Conclusions: The opinion of a cannabis policy measure depends on whether one is affected by that policy measure.
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