Tracking implementation within a community-led whole of system approach to address childhood overweight and obesity in south west Sydney, Australia

Applying Systems Thinking to Improve a Hospital Food Retail Environment

OBJECTIVE

To identify factors influencing the availability and sales of healthy food and drinks in a café located in a hospital setting in a rural area.

METHODS

Three online and 1 in-person group model building workshops were conducted with hospital staff members to develop a causal loop diagram.

RESULTS

Four areas in the causal loop diagram were identified, 5 teams were created to implement 15 identified action ideas, and an action registry was created to track their progress. By May 2023, 4 actions were active, 6 inactive, 4 completed, and 1 abandoned.

CONCLUSIONS AND IMPLICATIONS

The group model building process identified factors and actions to improve the healthiness of the hospital's café and motivated staff members to act for change. However, progress was limited by staff turnover, recruitment, and inadequate participation from decision-makers. Better leadership and support by senior management can ensure that long-term objectives are achieved and healthier hospital food environments are sustained.

Cymbopogon schoenanthus (L) extract ameliorates high fat diet-induced obesity and dyslipidemia via reducing expression of lipogenic and thermogenic proteins

Globally, obesity has become one of the major health problems. This study was conducted to evaluate the anti-obesity potential of Cymbopogon schoenanthus methanolic extract (CS) in rats. Fifty male Wistar rats of six to eight weeks old, 100-120 g body weight (BW) were randomly assigned into 5 groups (n = 10): The control group was fed a basal diet. CS-group was supplied with basal diet and orally given CS (200 mg/kg BW) for 12 weeks. HFD-group was fed a high-fat diet (HFD) for 18 weeks. HFD + CS-group was fed on HFD and CS HFD then CS-group was fed HFD for 12 weeks then shifted to basal diet and CS for another 6 weeks. Phytochemical analysis of CS indicated the presence of various terpenes and flavonoid compounds. Among the compounds characterized are quercetin, apigenin, luteolin, orientin, eudesmene, cymbopogonol, caffeic acid, coumaric acid, and linolenic acid. Supplementation of HFD significantly increased the body weight, levels of serum triacylglycerol, total cholesterol, very low-density lipoprotein, low-density lipo-protein (HDL), glucose, serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities. In addition, HFD up-regulated the protein expression of uncoupling protein (UCP)-1 in both brown and white adipose tissue; and the expression of hepatic mRNA of sterol regulatory element-binding protein (SREBP)-1c and SREBP-2. However, it decreased the serum level of HDL, and protein expression level of UCP-1 in both brown and white adipose tissue. Treatment of HFD-fed animals with CS extract either concurrently (HFD + CS-group), or after obesity induction (HFD then CS-group) significantly reversed all HFD-induced alterations in body weight; food intake; serum biochemical profile (including hyperglycemia, dyslipidemia); and tissue gene expressions. These results indicate that CS methanolic extract ameliorated HFD-induced obesity, serum biochemical, hepatic, and adipose tissue gene expression alterations. CS extract accomplished these effects mostly through its various identified bioactive compounds which have been proven to have anti-obesity and anti-diabetic activities.

A system dynamics approach to understand Dutch adolescents' sleep health using a causal loop diagram

BACKGROUND

Healthy sleep is crucial for the physical and mental wellbeing of adolescents. However, many adolescents suffer from poor sleep health. Little is known about how to effectively improve adolescent sleep health as it is shaped by a complex adaptive system of many interacting factors. This study aims to provide insights into the system dynamics underlying adolescent sleep health and to identify impactful leverage points for sleep health promotion interventions.

METHODS

Three rounds of single-actor workshops, applying Group Model Building techniques, were held with adolescents (n = 23, 12-15 years), parents (n = 14) and relevant professionals (n = 26). The workshops resulted in a multi-actor Causal Loop Diagram (CLD) visualizing the system dynamics underlying adolescent sleep health. This CLD was supplemented with evidence from the literature. Subsystems, feedback loops and underlying causal mechanisms were identified to understand overarching system dynamics. Potential leverage points for action were identified applying the Action Scales Model (ASM).

RESULTS

The resulting CLD comprised six subsystems around the following themes: (1) School environment; (2) Mental wellbeing; (3) Digital environment; (4) Family & Home environment; (5) Health behaviors & Leisure activities; (6) Personal system. Within and between these subsystems, 16 reinforcing and 7 balancing feedback loops were identified. Approximately 60 potential leverage points on different levels of the system were identified as well.

CONCLUSIONS

The multi-actor CLD and identified system dynamics illustrate the complexity of adolescent sleep health and supports the need for developing a coherent package of activities targeting different leverage points at all system levels to induce system change.

A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents

Childhood obesity is a complex disorder that appears to be influenced by an interacting system of many factors. Taking this complexity into account, we aim to investigate the causal structure underlying childhood obesity. Our focus is on identifying potential early, direct or indirect, causes of obesity which may be promising targets for prevention strategies. Using a causal discovery algorithm, we estimate a cohort causal graph (CCG) over the life course from childhood to adolescence. We adapt a popular method, the so-called PC-algorithm, to deal with missing values by multiple imputation, with mixed discrete and continuous variables, and that takes background knowledge such as the time-structure of cohort data into account. The algorithm is then applied to learn the causal structure among 51 variables including obesity, early life factors, diet, lifestyle, insulin resistance, puberty stage and cultural background of 5112 children from the European IDEFICS/I.Family cohort across three waves (2007-2014). The robustness of the learned causal structure is addressed in a series of alternative and sensitivity analyses; in particular, we use bootstrap resamples to assess the stability of aspects of the learned CCG. Our results suggest some but only indirect possible causal paths from early modifiable risk factors, such as audio-visual media consumption and physical activity, to obesity (measured by age- and sex-adjusted BMI z-scores) 6 years later.

Untangling the complex implementation process of community-based health promotion: a multiple-case study in the Netherlands

Community-based programmes are a widely implemented approach for population health promotion. Due to the context-dependent and dynamic nature of these programmes, evaluating their implementation is challenging. Identifying key events in the implementation process in evaluation could enable us to support future implementation, while acknowledging the complexity of real-world implementation. We studied the nationwide implementation of the Dutch Healthy Youth, Healthy Future (JOGG) approach, a community-based programme for childhood overweight prevention. The aims of our study were (i) to gain insights into the implementation process of the JOGG approach, and (ii) to identify key events that influenced said process. In nine communities, we conducted interviews (n = 24) with coordinators and stakeholders involved in the implementation of the JOGG approach and collected documents on the programme's implementation. We applied the analytical tool 'Critical Event Card' to identify key events in the implementation process. Results showed that in 5-10 years of implementing the JOGG approach, communities have undergone different phases: preparation, upscaling, resource mobilization, integration with other policy initiatives and adaptation of the implementation strategy. Key events influencing the implementation process included national policy developments (e.g. new health programmes), framing of the JOGG approach in local policy, staff turnover and coordination teams' experiences and actions. Furthermore, changes in implementation were often triggered by the destabilization of the implementation process and linked to opportunities for change in the policy process. The identified key events can inform future implementation of the JOGG approach as well as other community-based health promotion programmes.

CO-Creation and Evaluation of Food Environments to Advance Community Health (COACH)

Introduction

Food environments are a key determinant of food intake and diet-related health. This paper describes the development of an iterative, adaptive, context-specific framework for health-enabling food environments embedded in cocreation theory.

Methods

A 3-stage multimethod framework for the coproduction and prototyping of public health interventions was followed in an iterative manner during the development of the framework. These 3 stages were (1) evidence review, including systematic review, consultation with experts, and observation of current work; (2) codesign of the framework prototype with multiple stakeholders; and (3) coproduction through refinement of the prototype through stakeholder workshops and expert reviews with incorporation of researcher notes and workshop evaluation. We use the term prototype during the development phase and the term framework to report on the final product.

Results

COACH (CO-creation and evaluation of food environments to Advance Community Health) is a process framework that describes what best practice application of cocreation in health-enabling food retail environments should involve. COACH consists of 10 interdependent factors within a 4-phase continuous quality improvement cycle. The 4 phases of the cycle are engagement and governance establishment, communication and policy alignment, codesign and implementation, and monitoring and evaluation.

Conclusions

Utilizing cocreation theory represents an innovative step in research and practice to improve the healthiness of food retail environments. COACH provides a specific, unique, and comprehensive guide to the utilization of cocreation to improve the healthiness of food environments in practice.

Comprehensive application of a systems approach to obesity prevention: a scoping review of empirical evidence

A systems approach to obesity prevention is increasingly urged. However, confusion exists on what a systems approach entails in practice, and the empirical evidence on this new approach is unclear. This scoping review aimed to identify and synthesise studies/programmes that have comprehensively applied a systems approach to obesity prevention in intervention development, delivery/implementation, and evaluation. By searching international databases and grey literature, only three studies (10 publications) met inclusion criteria, which might be explained partially by suboptimal reporting. No conclusion on the effectiveness of this approach can be drawn yet due to the limited evidence base. We identified common features shared by the included studies, such as measuring ongoing changes, in addition to endpoint outcomes, and supporting capacity building. Some facilitators and barriers to applying a comprehensive systems approach in practice were identified. More well-designed and reported studies are needed, especially from low- and middle-income countries.

Participatory systems science for enhancing health and wellbeing in the Indian Ocean territories

Objectives

Co-creation of diabetes and obesity prevention with remote communities allows local contextual factors to be included in the design, delivery, and evaluation of disease prevention efforts. The Indian Ocean Territories (IOT) comprise the Christmas (CI) and Cocos Keeling Islands (CKI) and are remote Australian external territories located northwest of the mainland. We present results of a co-design process conducted with residents of IOT using realist inquiry and system mapping.

Methods

Interviews with 33 community members (17 CI, 14 CKI, 2 off Islands) on causes and outcomes of diabetes (2020/21) comprising community representatives, health services staff, dietitians, school principals and government administrators. Interviews were used to create causal loop diagrams representing the causes of diabetes in the IOT. These diagrams were used in a participatory process to identify existing actions to address diabetes, identify areas where more effort would be valuable in preventing diabetes, and to described and prioritize actions based on feasibility and likely impact.

Findings

Interviews identified 31 separate variables categorized into four themes (structural, food, knowledge, physical activity). Using causa loop diagrams, community members developed 32 intervention ideas that included strengthening healthy behaviors like physical activity, improving access to healthy and culturally appropriate foods, and overcoming the significant cost and availability limitations imposed by remoteness and freight costs. Interventions included relatively unique Island issues (e.g., freight costs, limited delivery timing), barriers to healthy food (e.g., limited fresh food availability), physical activity (e.g., transient workforce) and knowledge (e.g., multiple cultural backgrounds and language barriers, intergenerational knowledge).

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.

Implementing a stakeholder-driven community diffusion-informed intervention to create healthier, more equitable systems: a community case study in Greenville County, South Carolina

This case study describes the application of a theory-informed, stakeholder-driven intervention with a group of 19 multi-sector stakeholders from an existing coalition to promote whole-of-community change that supports childhood obesity prevention. The intervention applied community-based system dynamics to design and implement activities that promoted insights into the systems driving childhood obesity prevalence and helped participants prioritize actions to influence those systems. This led to three new priority areas for the coalition: addressing food insecurity; building power among historically marginalized voices within the community; and supporting advocacy efforts to promote community-wide change beyond the coalition's previous focus on organizational-level policy, systems and environment change. The intervention spurred the application of community-based system dynamics to other health issues and in partner organizations, which demonstrates paradigm shifts about how to address complex public health issues in the community.

Systems Mapping of the New Zealand Free and Healthy School Lunch Programme: Perspectives from Lunch Providers

As part of the COVID-19 economic recovery package, the Aotearoa New Zealand Government rolled out a universal free and healthy lunch programme to the 25% least advantaged schools nationwide. This study explored experiences of school lunch providers in the Hawke’s Bay region. The aim was to create a systems map identifying points of intervention through which the lunch programme could be improved to meet the goal of reducing child food insecurity. Twelve lunch providers were interviewed to generate casual loop diagrams which were examined and integrated to form a single systems map. Seven themes arose during analysis: teacher support, principal support, nutrition guidelines and government support, supply chain, ingredient suppliers, student feedback and food waste. Teacher support was important for getting students to try new foods and eat the nutritious lunches. Principal support was a strong theme impacting opportunities for broader student engagement. This study employed systems science to highlight the importance of support from different stakeholders within the lunch programme to achieve the goal of reduced child food insecurity. Further work is needed to ensure the programme meets the wider goals of the government and community, and to determine the potential broader benefits of the programme.

Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND): protocol and baseline outcomes for a stepped-wedge cluster-randomised prevention trial

INTRODUCTION

Systems science methodologies have been used in attempts to address the complex and dynamic causes of childhood obesity with varied results. This paper presents a protocol for the Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND) trial. RESPOND represents a significant advance on previous approaches by identifying and operationalising a clear systems methodology and building skills and knowledge in the design and implementation of this approach among community stakeholders.

METHODS AND ANALYSIS

RESPOND is a 4-year cluster-randomised stepped-wedge trial in 10 local government areas in Victoria, Australia. The intervention comprises four stages: catalyse and set up, monitoring, community engagement and implementation. The trial will be evaluated for individuals, community settings and context, cost-effectiveness, and systems and implementation processes. Individual-level data including weight status, diet and activity behaviours will be collected every 2 years from school children in grades 2, 4 and 6 using an opt-out consent process. Community-level data will include knowledge and engagement, collaboration networks, economic costs and shifts in mental models aligned with systems training. Baseline prevalence data were collected between March and June 2019 among >3700 children from 91 primary schools.

ETHICS AND DISSEMINATION

Ethics approval: Deakin University Human Research Ethics Committee (HREC 2018-381) or Deakin University's Faculty of Health Ethics Advisory Committee (HEAG-H_2019-1; HEAG-H 37_2019; HEAG-H 173_2018; HEAG-H 12_2019); Victorian Government Department of Education and Training (2019_003943); Catholic Archdiocese of Melbourne (Catholic Education Melbourne, 2019-0872) and Diocese of Sandhurst (24 May 2019). The results of RESPOND, including primary and secondary outcomes, and emerging studies developed throughout the intervention, will be published in the academic literature, presented at national and international conferences, community newsletters, newspapers, infographics and relevant social media.

TRIAL REGISTRATION NUMBER

ACTRN12618001986268p.

Using systems science methods to enhance the work of national and local walking partnerships: practical insights from Ireland

Background

Physical activity (PA) literature is dominated by individual-level descriptive studies, which are known to have limited impact on population PA levels. Leveraging systems science methods offers opportunities to approach PA in a manner which embraces its inherent complexity. This study describes how participatory systems mapping and social network analysis (SNA) were used to understand the work of local and national level walking systems in Ireland.

Methods

Two adapted participatory action research workshops with multisectoral stakeholders were used to develop a systems map for walking in Cork, Ireland. The Global Action Plan for Physical Activity 2018–2030 (GAPPA) map was used as a framework to categorize workshop outcomes. Secondly, SNA methods were used to analyse the communication network between partners of Get Ireland Walking, a national walking promotion initiative, as defined within their strategic plan and the actual communication network as experienced by the partners.

Results

The systems mapping process allowed stakeholders to identify 19 suggested actions for the Cork walking system. The SNA found that there were considerably fewer communication ties between partners in the actual communication network than in the strategy defined network.

Conclusion

The systems mapping process was a useful catalyst for engaging stakeholders in cross-sectoral communication and the GAPPA was a practical way to organize workshop outcomes. Social network analysis methods highlighted that the communication network of a national level walking promotion partnership is not working as planned. Overall, the use of systems science methods can provide practical insights for local and national level walking systems.

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.

The ENCOMPASS framework: a practical guide for the evaluation of public health programmes in complex adaptive systems

Background

Systems thinking embraces the complexity of public health problems, including childhood overweight and obesity. It aids in understanding how factors are interrelated, and it can be targeted to produce favourable changes in a system. There is a growing call for systems approaches in public health research, yet limited practical guidance is available on how to evaluate public health programmes within complex adaptive systems. The aim of this paper is to present an evaluation framework that supports researchers in designing systems evaluations in a comprehensive and practical way.

Methods

We searched the literature for existing public health systems evaluation studies. Key characteristics on how to conduct a systems evaluation were extracted and compared across studies. Next, we overlaid the identified characteristics to the context of the Lifestyle Innovations Based on Youth Knowledge and Experience (LIKE) programme evaluation and analyzed which characteristics were essential to carry out the LIKE evaluation. This resulted in the Evaluation of Programmes in Complex Adaptive Systems (ENCOMPASS) framework.

Results

The ENCOMPASS framework includes five iterative stages: (1) adopting a system dynamics perspective on the overall evaluation design; (2) defining the system boundaries; (3) understanding the pre-existing system to inform system changes; (4) monitoring dynamic programme output at different system levels; and (5) measuring programme outcome and impact in terms of system changes.

Conclusions

The value of ENCOMPASS lies in the integration of key characteristics from existing systems evaluation studies, as well as in its practical, applied focus. It can be employed in evaluating public health programmes in complex adaptive systems. Furthermore, ENCOMPASS provides guidance for the entire evaluation process, all the way from understanding the system to developing actions to change it and to measuring system changes. By the nature of systems thinking, the ENCOMPASS framework will likely evolve further over time, as the field expands with more completed studies.

Study protocol: a non-randomised community trial to evaluate the effectiveness of the communities that care prevention system in Germany

BACKGROUND

The Communities That Care (CTC) prevention planning and implementation system trains communities throughout a five-phase cycle to (1) build capacity for prevention, (2) adopt science-based prevention, (3) assess the prevention needs of adolescents living in the community, (4) select, and (5) implement evidence-based programs according to their needs. After CTC proved to be effective and cost-effective in the U.S., it is being used by an increasing number of communities in Germany. The aim of this study is to evaluate the effectiveness and cost-effectiveness of CTC in Germany.

METHODS

Communities in CTC-phases 1 to 3 (n = 21) and individually-matched comparison communities (n = 21) were recruited for a non-randomised trial. To assess long-term outcomes, (1) a cohort of 5th Grade students will be surveyed biennially concerning behaviours (antisocial behaviour and substance use) and well-being as well as risk and protective factors. Additionally, (2) biennial cross-sectional surveys will be conducted in 6th, 8th, 10th, and 11th Grade in each community. To assess short-term outcomes, a cohort of ten key informants per community will be surveyed biennially concerning adoption of science-based prevention, collaboration, community support and community norms. (4) In a cross-sectional design, all ongoing prevention programs and activities in the communities will be assessed biennially and data will be collected about costs, implementation and other characteristics of the programs and activities. (5) To monitor the CTC implementation, the members of the local CTC-boards will be surveyed annually (cross-sectional design) about team functioning and coalition capacity. Data analysis will include general and generalised mixed models to assess the average treatment effect of CTC. Mediation analyses will be performed to test the logical model, e.g., adoption of science-based prevention as a mediator for the effectiveness of the CTC approach.

DISCUSSION

This is the first controlled study to evaluate the effectiveness of a comprehensive community prevention approach in Germany. Evaluating the effectiveness of CTC in Germany is an important prerequisite for further diffusion of the CTC approach.

TRIAL REGISTRATION

This study was registered with German Clinical Trial Register: DRKS00022819 on Aug 18, 2021.

Systems thinking for Aboriginal Health: Understanding the value and acceptability of group model building approaches

Systems thinking is increasingly applied to understand and address systemic drivers of complex health problems. In Australia, group model building, a participatory method from systems science, has been applied in various locations to engage communities in systems-based health promotion projects. To date there is limited evidence regarding GMB use with Australian Aboriginal communities. This study aimed to determine the value and acceptability of group model building (GMB) as a methodological approach in research with Aboriginal communities and identify any adaptations required to optimise its utility. Semi-structured interviews were undertaken with 18 Aboriginal health and university staff who had prior experience with a GMB research project. Interview transcripts were inductively analysed using thematic analysis and key themes were organised using an Indigenous research framework. Participants reported that GMB methods generally aligned well with Aboriginal ways of knowing, being, and doing. Participants valued the holistic, visual and collaborative nature of the method and its emphasis on sharing stories and collective decision-making. Group model building was viewed as a useful tool for identifying Aboriginal-led actions to address priority issues and advancing self-determination. Our findings suggest that by bringing together Aboriginal and non-Aboriginal knowledge, GMB is a promising tool, which Aboriginal communities could utilise to explore and address complex problems in a manner that is consistent with their worldviews. In adapting group model building methods, non-Aboriginal researchers should aspire to move beyond co-design processes and enable Aboriginal health research to be entirely led by Aboriginal people.

•

Group model building is a promising method for research with Aboriginal communities that is generally consistent with Aboriginal worldviews.

•

Group Model Building may be a useful tool for identifying actions to address priority issues and advancing Aboriginal self-determination.

•

Capacity building is required so that Group Model Building workshops, and ideally entire research projects, can be led by Aboriginal people.