The common drivers of children and young people's health and wellbeing across 13 local government areas: a systems view.

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.

Systems thinking in local government: intervention design and adaptation in a community-based study.

BACKGROUND: Systems thinking approaches are increasingly being used by communities to address complex chronic disease. This paper reports on the VicHealth Local Government Partnership (VLGP) which sought to co-create improvements in the health and well-being of children and young people by working with local government in Victoria, Australia. METHODS: The VLGP included a series of health promotion modules, aimed at creating policy, programme and practice changes across local government. One of these modules, Connecting the Dots - creating solutions for lasting change, aimed to build capacity for systems thinking in municipal public health and well-being planning across 13 councils. The approach was adapted and data were collected on the stimuli for, and results of, adaptation. RESULTS: The council adapted the systems thinking approach to meet geographic characteristics, priority health issue/s and participant target group needs. Adaptions applied to workshop materials, training delivery, existing and new resources, and to align with other community-based approaches. Stimuli for adaptation included the COVID-19 pandemic, needs of children and young people, capacity of council to deliver the workshop series, and time available within the project or for the participant group. CONCLUSIONS: Systems thinking was used and adapted by councils to improve the health and well-being of children and young people and increase the voices of children and young people in decision-making. Flexible delivery is critical to ensure communities can adapt the approach to meet local needs.

Measuring Shifts in Mental Models in the Prevention of Childhood Obesity in Rural Australia.

Group model building is a participatory workshop technique used in system dynamics for developing community consensus to address complex problems by consensus building on individual assumptions. This study examines changes in individual mental models of the complex problem of childhood obesity following participation in group model building (GMB), as part of a larger community-based system dynamics project. Data are drawn from GMB participants across six community sites in the Whole of Systems Trial of Prevention Strategies for Childhood Obesity (WHO STOPS) in rural and regional Victoria, Australia. Each community participated in two GMB sessions resulting in a causal loop diagram (CLD) of drivers of childhood obesity for each community. Presurvey and postsurvey captured participants' perspectives before and after (n = 25) participation in both GMB sessions and a blend of inductive and deductive qualitative content analysis was used to code individual responses. Three calculations were used to determine the number of responses, whether responses were a result of persuasion from others, and comparison of responses to those found in the CLD. Our study found participant mental models shifted during the course of the GMB sessions, with some responses persuaded by others and 75% of new insights identified in CLDs created by communities. The GMB process created a platform for participants to share ideas and learn from each other. In addition, participants listed new insights about childhood obesity in their community through developing CLDs.

Success of community-based system dynamics in prevention interventions: A systematic review of the literature.

Systems thinking approaches are increasingly being used to help communities understand and develop responses to preventing complex health problems. Less is known about how success is characterized and what influences success in these approaches. We present a systematic review of how concepts of success are understood and evaluated in the peer reviewed literature of studies using systems thinking in community prevention. We searched five databases for peer-reviewed literature published between 2000 and 2022, with search terms related to systems thinking, prevention and community. Studies were included if they; reported using community-based systems thinking to prevent a public health problem; described the engagement and empowerment of community members to address a public health issue; and, were published in English. Thirty-four articles were identified from 10 countries. Twenty-one aimed to prevent a chronic disease (e.g., obesity) and 16 measured success using specific tools, 10 of which used semi-structured interviews or surveys. Measures of success included implementation processes, cultural appropriateness, the number or type of actions implemented, effectiveness of community action, and changes in individual thinking or mental models, population health outcomes, data collected, or systems level measures. Implementation factors influencing success included the capacity to engage participants, composition and experience of facilitators, strength of coordination teams, allocation of resources, adaptation to participant feedback, use of multiple systems approaches, workshop process providing time and methods to allow new insights, flexible delivery, and diversity of perspectives. Findings from each of the articles indicated that approaches increased a range of outcomes including community action, strategic thinking, future planning and evaluation, community buy-in, community voice, contribution and leadership, in addition to developing shared visions and goals and creating new, ongoing collaborations, among many others. Measures of success varied, suggesting more empirical reporting of proposed outcomes of system science in communities would be valuable. While the measurement of success in the use of systems thinking in community-based prevention efforts is limited, there are helpful examples we can look to for future measurement of success.

Building capacity for the use of systems science to support local government public health planning: a case study of the VicHealth Local Government Partnership in Victoria, Australia.

OBJECTIVE: To present an approach to build capacity for the use of systems science to support local communities in municipal public health and well-being planning. DESIGN: Case study. SETTING: Local government authorities participating in the VicHealth Local Government Partnership in Victoria, Australia. PARTICIPANTS: Local government staff members were trained in community-based system dynamics (CBSD), and group model building (GMB) techniques to mobilise local community efforts. The trained local government facilitation teams then delivered GMB workshops to community stakeholder groups from 13 local government areas (LGA)s. MAIN OUTCOMES: Training in CBSD was conducted with council facilitation teams in 13 LGAs, followed by the local delivery of GMB workshops 1-3 to community stakeholders. Causal loop diagrams (CLD) representing localised drivers of mental well-being, healthy eating, active living or general health and well-being of children and young people were developed by community stakeholders. Locally tailored action ideas were generated such as well-being classes in school, faster active transport and access to free and low-cost sporting programmes RESULTS: Overall, 111 local government staff participated in CBSD training. Thirteen CLDs were developed, with the stakeholders that included children, young people and community members, who had participated in the GMB workshops across all 13 council sites. Workshop 3 had the highest total number of participants (n=301), followed by workshop 1 (n=287) and workshop 2 (n=171). CONCLUSIONS: Local facilitation of the CBSD process has developed community informed and locally relevant CLDs that will be used to lead local action to improve the well-being of children and young people. Training employees in CBSD is one approach to increase systems thinking capacity within local government.

A Theory of Change for Community-Based Systems Interventions to Prevent Obesity.

INTRODUCTION: Applying systems science in public health trials is a recent innovation in childhood obesity prevention. This paper aims to use systems science conventions to propose a theory of change for community-based interventions aiming to build capacity and use exemplars from systems science for obesity prevention to describe how this approach works. METHODS: Participants were community-based researchers. A dynamic hypothesis was created in workshops conducted in 2020 and 2021 by identifying variables critical to building community capacity for systems thinking. These were used to develop stock and flow diagrams representing individual causal relationships, feedback loops, and the overall theory of change. RESULTS: The resultant model identified 9 stocks and 4 pairs of central balancing and reinforcing feedback loops. These represented building commitment through relationships, mutual learning, strengthening collaboration, and embedding capacity. The model is described using examples from 3 trials involving 25 communities across Victoria, Australia. CONCLUSIONS: This nonlinear and practice-based model illustrates the process of community-based obesity prevention. The model integrates >20 years of community-based intervention implementation experience, providing an overarching theory of how such interventions work to create change and prevent obesity.