Bibliographic Details
| Title: |
The common drivers of children and young people's health and wellbeing across 13 local government areas: a systems view. |
| Authors: |
O'Halloran, Siobhan A., Hayward, Joshua, Valdivia Cabrera, Melissa, Felmingham, Tiana, Fraser, Penny, Needham, Cindy, Poorter, Jaimie, Creighton, Doug, Johnstone, Michael, Nichols, Melanie, Allender, Steven |
| Source: |
BMC Public Health; 3/19/2024, Vol. 24 Issue 1, p1-9, 9p |
| Subject Terms: |
YOUNG adults, WELL-being, LOCAL government, SOCIAL network analysis, SOCIAL support |
| Abstract: |
Background: System dynamics approaches, including group model building (GMB) and causal loop diagrams (CLDs), can be used to document complex public health problems from a community perspective. This paper aims to apply Social Network Analysis (SNA) methods to combine multiple CLDs created by local communities into a summary CLD, to identify common drivers of the health and wellbeing of children and young people. Methods: Thirteen community CLDs regarding children and young people health and wellbeing were merged into one diagram involving three steps: (1) combining variable names; (2) CLD merging, where multiple CLDs were combined into one CLD with a set of unique variables and connections; (3) paring, where the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to generate a cut-point to reduce the number of variables and connections and to rank the overall importance of each variable in the merged CLD. Results: Combining variable names resulted in 290 variables across the 13 CLDS. A total of 1,042 causal links were identified in the merged CLD. The DEMATEL analysis of the merged CLD identified 23 common variables with a net importance between 1.0 and 4.5 R + C values and 57 causal links. The variables with the highest net importance were 'mental health' and 'social connection & support' classified as high net receivers of influence within the system. Conclusions: Combining large CLDs into a simple diagram represents a generalisable model of the drivers of complex health problems. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
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