Systems science and systems thinking for public health: a systematic review of the field

Applying dynamic systems theory and complexity theory methods in psychotherapy research: A systematic literature review

OBJECTIVE

Dynamic systems theory and complexity theory (DST/CT) is a framework explaining how complex systems change and adapt over time. In psychotherapy, DST/CT can be used to understand how a person's mental and emotional state changes during therapy incorporating higher levels of complexity. This study aimed to systematically review the variability of DST/CT methods applied in psychotherapy research.

METHODS

A primary studies search was conducted in the EBSCO and Web of Knowledge databases, extracting information about the analyzed DST/CT phenomena, employed mathematical methods to investigate these phenomena, descriptions of specified dynamic models, psychotherapy phenomena, and other information regarding studies with empirical data (e.g., measurement granularity).

RESULTS

After screening 38,216 abstracts and 4,194 full texts, N = 41 studies published from 1990 to 2021 were identified. The employed methods typically included measures of dynamic complexity or chaoticity. Computational and simulation studies most often employed first-order ordinary differential equations and typically focused on describing the time evolution of client-therapist dyadic influences. Eligible studies with empirical data were usually based on case studies and focused on data with high time intensity of within-session dynamics.

CONCLUSION

This review provides a descriptive synthesis of the current state of the proliferation of DST/CT methods in the psychotherapy research field.

Supporting whānau during COVID-19 pandemic in Aotearoa New Zealand: a systems thinking case study

BACKGROUND

The Aotearoa New Zealand COVID-19 pandemic response has been hailed as a success story, however, there are concerns about how equitable it has been. This study explored the experience of a collective of Māori health and social service providers in the greater Wellington region of Aotearoa New Zeland delivering COVID-19 responses.

METHODS

The study was a collaboration between a large urban Māori health and social service provider, Tākiri Mai Te Ata whānau ora collective, and public health researchers in Aotearoa New Zealand. Two online workshops were held with staff of the Māori service provider, collectively developing a qualitative causal loop diagram and generating systemic insights. The causal loop diagram showed interactions of various factors affecting COVID-19 response for supporting whānau (Māori family/households) at a community level. The iceberg model of systems thinking offered insights for action in understanding causal loop diagrams, emphasizing impactful changes at less visible levels.

RESULTS

Six interacting subsystems were identified within the causal loop diagram that highlighted the systemic barriers and opportunities for effective COVID-19 response to Māori whānau. The medical model of health service produces difficulties for delivering kaupapa Māori services. Along with pre-existing vulnerability and health system gaps, these difficulties increased the risk of negative impacts on Māori whānau as COVID-19 cases increased. The study highlighted a critical need to create equal power in health perspectives, reducing dominance of the individual-focused medical model for better support of whānau during future pandemics.

CONCLUSIONS

The study provided insights on systemic traps, their interactions and delays contributing to a relatively less effective COVID-19 response for Māori whānau and offered insights for improvement. In the light of recent changes in the Aotearoa New Zealand health system, the findings emphasize the urgent need for structural reform to address power imbalances and establish kaupapa Māori approach and equity as a norm in service planning and delivery.

Association between the environment for physical activity in public schools and childhood obesity: a view in the light of complex systems

This article aims to analyse the relationship between physical activity (PA) environment at schools, sex, age, and obesity in children, using a network approach. This is a cross-sectional study, with 1,200 children (8.1±1.0 years old) from eight public schools in the same municipality. Weight and height measurements were assessed to calculate the Body Mass Index (BMI) and classified as healthier weight or overweight. To assess the PA environment at school, a interview with the school´s manager was conducted. The association between the PA environment at school and obesity was tested using a Network Analysis performed on the Jasp software. Positive associations between BMI and Physical Education classes (0.847), physical education teacher (0.349), break duration (0.564), and indoor sports court (0.662) were observed. Negative associations were seen with sex (-0.212) age (-0.387), extracurricular PA (-0.492), and playground (-0.557). Additionally, the centrality indicators highlighted extracurricular PA (1.789) as the variables with the highest betweenness values, and BMI with the highest closeness (2.239) and strength (1.230) values. Extracurricular PA and the presence of playgrounds in school´s environment are associated with healthier weight in low-income children.

The potential and paradoxes of eHealth research for digitally marginalised groups: A qualitative meta-review

Whilst the transformation towards digital healthcare is accelerating, there is still a substantial risk of excluding people with a distance to the online world. Groups like people with a low socioeconomic position, people with a migrant background or the elderly, who are already most at risk of experiencing health inequalities, are simultaneously experiencing increased digital exclusion. Researchers play a role in determining how eHealth access is framed and can thus impact how the barriers to its use are addressed. This qualitative meta-review critically evaluates the way researchers (as authors) discuss eHealth use in digitally marginalised groups. Specifically, it seeks to understand how eHealth is framed to address existing health systems problems; how the barriers to eHealth use are presented and which solutions are provided in response; and who authors suggest should be responsible for making eHealth work. The results of this review found four paradoxes in how current literature views eHealth use. Firstly, that health systems problems are complex and nuanced, yet eHealth is seen as a simple answer. Secondly, that there are many political, social and health systems-based solutions suggested to address eHealth use, however most of the identified barriers are individually framed. This focus on personal deficits results in misallocating responsibility for making these systemic improvements. Thirdly, although eHealth is meant to simplify the tasks of patients and healthcare workers, these are the groups most often burdened with the responsibility of ensuring its success. Lastly, despite tailoring eHealth to the user being the most suggested solution, researchers generally speak about groups as a homogenous entity - thus rendering tailoring difficult. Ultimately, this review finds that a shift to focus research on addressing systemic issues on a systems level is necessary to prevent further exacerbating existing health inequalities.

An Approach to Enhancing Medication Treatment for Opioid Use Disorder in the HEALing Communities Study

The HEALing (Helping to End Addiction Long-term) Communities Study (HCS) aims to test the effectiveness of the Communities That HEAL intervention in decreasing opioid overdose deaths in 67 communities across four U.S. states. This intervention enlists a collaborative team of researchers, academic experts, and community coalitions to select and implement interventions from a menu of evidence-based practices, including medications for opioid use disorder (MOUD). The HCS's New York team developed an integrated network systems (INS) approach with a mapping tool to coach coalitions in the selection of strategies to enhance medication treatment. With the INS approach, community coalitions develop a map of service delivery venues in their local county to better engage people with medication treatment wherever this need arises. The map is structured around core services that can provide maintenance MOUD and satellite services, which include all settings where people with opioid use disorder are encountered and can be identified, possibly given medication, and referred to core programs for ongoing MOUD care. This article describes the rationale for the INS mapping tool, with a discussion framed by the consolidated framework for implementation research, and provides a case example of its application.

Preliminary adaptation of the systems thinking for everyday work cue card set in a US healthcare system: a pragmatic and participatory co-design approach

INTRODUCTION

Healthcare is a highly complex adaptive system, requiring a systems approach to understand its behaviour better. We adapt the Systems Thinking for Everyday Work (STEW) cue cards, initially introduced as a systems approach tool in the UK, in a US healthcare system as part of a study investigating the feasibility of a systems thinking approach for front-line workers.

METHODS

The original STEW cards were adapted using consensus-building methods with front-line staff and safety leaders.

RESULTS

Each card was examined for relevance, applicability, language and aesthetics (colour, style, visual cues and size). Two sets of cards were created due to the recognition that systems thinking was relatively new in healthcare and that the successful use of the principles on the cards would need initial facilitation to ensure their effective application. Six principles were agreed on and are presented in the cards: Your System outlines the need to agree that problems belong to a system and that the system must be defined. Viewpoints ensure that multiple voices are heard within the discussion. Work Condition highlights the resources, constraints and barriers that exist in the system and contribute to the system's functions. Interactions ask participants to understand how parts of the system interact to perform the work. Performance guides users to understand how work can be performed daily. Finally, Understanding seeks to promote a just cultural environment of appreciating that people do what makes sense to them. The two final sets of cards were scored using a content validity survey, with a final score of 1.

CONCLUSIONS

The cards provide an easy-to-use guide to help users understand the system being studied, learn from problems encountered and understand the everyday work involved in providing excellent care. The cards offer a practical 'systems approach' for use within complex healthcare systems.

Urban densification in the Netherlands and its impact on mental health: An expert-based causal loop diagram

Urban densification is a key strategy to accommodate rapid urban population growth, but emerging evidence suggests serious risks of urban densification for individuals' mental health. To better understand the complex pathways from urban densification to mental health, we integrated interdisciplinary expert knowledge in a causal loop diagram via group model building techniques. Six subsystems were identified: five subsystems describing mechanisms on how changes in the urban system caused by urban densification may impact mental health, and one showing how changes in mental health may alter urban densification. The new insights can help to develop resilient, healthier cities for all.

Bakar A, Hj Jobli NM, Sararaks S. Study protocol for a mixed methods approach to optimize colorectal cancer screening in Malaysia: Integrating stakeholders insights and knowledge-to-action framework

INTRODUCTION

Colorectal cancer is a growing global health concern and the number of reported cases has increased over the years. Early detection through screening is critical to improve outcomes for patients with colorectal cancer. In Malaysia, there is an urgent need to optimize the colorectal cancer screening program as uptake is limited by multiple challenges. This study aims to systematically identify and address gaps in screening service delivery to optimize the Malaysian colorectal cancer screening program.

METHODS

This study uses a mixed methods design. It focuses primarily on qualitative data to understand processes and strategies and to identify specific areas that can be improved through stakeholder engagement in the screening program. Quantitative data play a dual role in supporting the selection of participants for the qualitative study based on program monitoring data and assessing inequalities in screening and program implementation in healthcare facilities in Malaysia. Meanwhile, literature review identifies existing strategies to improve colorectal cancer screening. Additionally, the knowledge-to-action framework is integrated to ensure that the research findings lead to practical improvements to the colorectal cancer screening program.

DISCUSSION

Through this complex mix of qualitative and quantitative methods, this study will explore the complex interplay of population- and systems-level factors that influence screening rates. It involves identifying barriers to effective colorectal cancer screening in Malaysia, comparing current strategies with international best practices, and providing evidence-based recommendations to improve the local screening program.

Transitioning biomedical research toward human-centric methodologies: systems-based strategies

Human-centric methodologies like microphysiological systems and in silico methods have shown promise in addressing the limitations of animal models in understanding human biology and responding to public health priorities. However, the prevailing paradigm based on animal research persists. The article proposes a systemic thinking approach, endorsed by the OECD and the EU, as a tool to leverage innovation to reframe the issue and achieve transformative policies. By identifying the complex factors shaping method selection in basic and biomedical research, a simplified model is presented to illuminate the systemic nature of this decision-making process. The goal is not to prescribe solutions but to offer policymakers a new framework for more-effective strategies, emphasizing collaboration among stakeholders and the need for robust data.

A Settings and Systems Approach to Promoting the Health and Wellbeing of People with an Intellectual Disability

Research has shown that people with an intellectual disability have higher rates of certain preventable health conditions and a higher rate of avoidable mortality relative to the general population. With respect to health behaviours, they also have lower levels of physical activity and poorer nutrition. Despite the increased health needs, this population cohort is less likely to have the opportunity to participate in health promotion programs. The interventions that have been delivered are programmatic and individual in focus and have lacked a broader ecological and settings focus, which makes them very difficult to scale. Health promotion programs designed for the general population, such as lifestyle campaigns, rarely reach people with an intellectual disability. This increases the importance of ensuring that the settings in which they live and engage with are as health promoting as possible. Interventions have been particularly absent in the workplace for people with an intellectual disability. This paper highlights gaps in a settings-and-systems-based approach to promoting the health and wellbeing of people with an intellectual disability, particularly with respect to workplace health promotion. The paper concludes with recommendations for a systems approach that integrates approaches across multiple settings to better promote the health of this population cohort.

Effectiveness and cost-effectiveness of a sustainable obesity prevention programme for preschool children delivered at scale 'HENRY' (Health, Exercise, Nutrition for the Really Young): protocol for the HENRY III cluster randomised controlled trial

INTRODUCTION

One-fifth of children start school already overweight or living with obesity, with rates disproportionately impacting those living in the most deprived areas. Social, environmental and biological factors contribute to excess weight gain and programmes delivered in early years settings aim to support families to navigate these in order to prevent obesity. One of these programmes (Health, Exercise and Nutrition for the Really Young, HENRY) has been delivered in UK community venues (hereon named 'centres') in high deprivation areas since 2008 and aims to help families to provide a healthy start for their preschool children. We aim to establish the effectiveness and cost-effectiveness of HENRY, including its potential role from a wider systems perspective.

METHODS AND ANALYSIS

This is a multicentre, open-labelled, two-group, prospective, cluster randomised controlled trial, with cost-effectiveness analysis, systems-based process evaluation and internal pilot. Primary analysis will compare body mass index (BMI) z-score at 12 months in children (n=984) whose parents have attended HENRY to those who have not attended. Secondary outcomes include parent and staff BMI and waist circumference, parenting efficacy, feeding, eating habits, quality of life, resource use and medium term (3 years) BMI z-scores (child and siblings). 82 centres in ~14 local authority areas will be randomised (1:1) to receive HENRY or continue with standard practice. Intention-to-treat analysis will compare outcomes using mixed effects linear regression. Economic evaluation will estimate a within-trial calculation of cost-per unit change in BMI z-score and longer-term trajectories to determine lifelong cost savings (long-term outcomes). A systems process evaluation will explore whether (and how) implementation of HENRY impacts (and is impacted by) the early years obesity system. An established parent advisory group will support delivery and dissemination.

ETHICS AND DISSEMINATION

Ethical approval has been granted by the University of York, Health Sciences' Research Governance Committee (HSRGC/2022/537/E). Dissemination includes policy reports, community resources, social media and academic outputs.

TRIAL REGISTRATION NUMBER

ISRCTN16529380.

Systems approaches to scaling up: a systematic review and narrative synthesis of evidence for physical activity and other behavioural non-communicable disease risk factors

BACKGROUND

Non-communicable diseases (NCDs) are the leading causes of death worldwide. Systems approaches have potential for creating sustainable outcomes at scale but have rarely been used to support scale up in physical activity/nutrition promotion or NCD prevention more generally. This review aimed to: (i) synthesise evidence on the use of systems approaches in scaling up interventions targeting four behavioural risk factors for NCDs; and (ii) to explore how systems approaches have been conceptualised and used in intervention implementation and scale up.

METHOD

Seven electronic databases were searched for studies published 2016-2021. Eligible studies targeted at least one of four NCD behavioural risk factors (physical inactivity, tobacco use, alcohol consumption, diet), or described evaluation of an intervention planned for or scaled up. Studies were categorised as having a (i) high, (ii) moderate, or (iii) no use of a systems approach. A narrative synthesis of how systems approaches had been operationalised in scale up, following PRISMA guidelines.

RESULTS

Twenty-one intervention studies were included. Only 19% (n = 4) of interventions explicitly used systems thinking to inform intervention design, implementation and scale up (targeting all four risk factors n = 2, diet n = 1, tobacco use n = 1). Five studies ('high use') planned and implemented scale up with an explicit focus on relations between system elements and used system changes to drive impact at scale. Seven studies ('moderate use') considered systems elements impacting scale-up processes or outcomes but did not require achieving system-level changes from the outset. Nine studies ('no use') were designed to work at multiple levels among multiple agencies in an intervention setting, but the complexity of the system and relations between system elements was not articulated. We synthesised reported barriers and facilitators to scaling up, and how studies within each group conceptualised and used systems approaches, and methods, frameworks and principles for scaling up.

CONCLUSION

In physical activity research, and NCD prevention more broadly, the use of systems approaches in scale up remains in its infancy. For researchers, practitioners and policymakers wishing to adopt systems approaches to intervention implementation at scale, guidance is needed on how to communicate and operationalise systems approaches in research and in practice.

TRIAL REGISTRATION

PROSPERO (CRD42021287265).

Addressing differences in cancer: a framework for synergistic programming in cancer prevention and control

Background

Cancer remains a leading cause of death worldwide and continues to disproportionately impact certain populations. Several frameworks have been developed that illustrate the multiple determinants of cancer. Expanding upon the work of others, we present an applied framework for cancer prevention and control designed to help clinicians, as well as public health practitioners and researchers, better address differences in cancer outcomes.

Methods

The framework was developed by the Cancer Prevention and Control Research Network's Health Behaviors Workgroup. An initial framework draft was developed based on workgroup discussion, public health theory, and rapid literature review on the determinants of cancer. The framework was refined through interviews and focus groups with Federally Qualified Health Center providers (n=2) and cancer patients (n=2); participants were asked to provide feedback on the framework's causal pathways, completeness, and applicability to their work and personal life.

Results

The framework provides an overview of the relationships between sociodemographic inequalities, social and structural determinants, and key risk factors associated with cancer diagnosis, survivorship, and cancer morbidity and mortality across the lifespan. The framework emphasizes how health-risk behaviors like cigarette smoking interact with psychological, psychosocial, biological, and psychosocial risk factors, as well as healthcare-related behavior and other chronic diseases. Importantly, the framework emphasizes addressing social and structural determinants that influence health behaviors to reduce the burden of cancer and improve health equity. Aligned with previous theory, our framework underscores the importance of addressing co-occurring risk factors and disease states, understanding the complex relationships between factors that influence cancer, and assessing how multiple forms of inequality or disadvantage intersect to increase cancer risk across the lifespan.

Conclusions

This paper presents an applied framework for cancer prevention and control to address cancer differences. Because the framework highlights determinants and factors that influence cancer risk at multiple levels, it can be used to inform the development, implementation, and evaluation of interventions to address cancer morbidity and mortality.

Can the implementation of net gain requirements in England's planning system be applied to health?

This Personal View considers the relationship between spatial planning and health and the potential benefits of requiring health net gain from land use decisions and new developments. We explore how a health net gain objective could be applied in spatial planning policy and practice to improve people's health and wellbeing, using England's implementation of a biodiversity net gain objective as a model. This Personal View emphasises the need for a systems approach to the definition and strategic coordination of health gains, recognising the breadth of health determinants and inter-related economic, environmental, and social policy objectives. By considering the potential application of a net gain principle to health in spatial planning, we offer valuable insights into how the spatial planning system could be used to build the conditions of health creation. A road map is provided for exploration of health net gain in other national contexts in support of the operationalisation of global urban health initiatives.

The current state of complex systems research on socioeconomic inequalities in health and health behavior-a systematic scoping review

BACKGROUND

Interest in applying a complex systems approach to understanding socioeconomic inequalities in health is growing, but an overview of existing research on this topic is lacking. In this systematic scoping review, we summarize the current state of the literature, identify shared drivers of multiple health and health behavior outcomes, and highlight areas ripe for future research.

METHODS

SCOPUS, Web of Science, and PubMed databases were searched in April 2023 for peer-reviewed, English-language studies in high-income OECD countries containing a conceptual systems model or simulation model of socioeconomic inequalities in health or health behavior in the adult general population. Two independent reviewers screened abstracts and full texts. Data on study aim, type of model, all model elements, and all relationships were extracted. Model elements were categorized based on the Commission on Social Determinants of Health framework, and relationships between grouped elements were visualized in a summary conceptual systems map.

RESULTS

A total of 42 publications were included; 18 only contained a simulation model, 20 only contained a conceptual model, and 4 contained both types of models. General health outcomes (e.g., health status, well-being) were modeled more often than specific outcomes like obesity. Dietary behavior and physical activity were by far the most commonly modeled health behaviors. Intermediary determinants of health (e.g., material circumstances, social cohesion) were included in nearly all models, whereas structural determinants (e.g., policies, societal values) were included in about a third of models. Using the summary conceptual systems map, we identified 15 shared drivers of socioeconomic inequalities in multiple health and health behavior outcomes.

CONCLUSIONS

The interconnectedness of socioeconomic position, multiple health and health behavior outcomes, and determinants of socioeconomic inequalities in health is clear from this review. Factors central to the complex system as it is currently understood in the literature (e.g., financial strain) may be both efficient and effective policy levers, and factors less well represented in the literature (e.g., sleep, structural determinants) may warrant more research. Our systematic, comprehensive synthesis of the literature may serve as a basis for, among other things, a complex systems framework for socioeconomic inequalities in health.

Cost-effectiveness of system-level mental health strategies for young people in the Australian Capital Territory: a dynamic simulation modelling study

BACKGROUND

Regional mental health planning is a key challenge for decision makers because mental health care is a complex, dynamic system. Economic evaluation using a system dynamics modelling approach presents an opportunity for more sophisticated planning and important evidence on the value of alternative investments. We aimed to investigate the cost-effectiveness of eight systems-based interventions targeted at improving the mental health and wellbeing of children, adolescents, and young adults in the Australian Capital Territory (ACT).

METHODS

We assessed eight interventions for children and young people (aged ≤25 years) with low, moderate, and high-to-very-high psychological distress: technology-enabled integrated care, emergency department-based suicide prevention, crisis response service, family education programme, online parenting programme, school-based suicide prevention programme, trauma service for youths, and multicultural-informed care. We developed a system dynamics model for the ACT through a participatory process and calibrated the model with historical data, including population demographics, the prevalence of psychological distress, and mental health services provision. We calculated incremental cost-effectiveness ratios compared with business as usual for cost (AU$) per: quality-adjusted life-year (QALY), suicide death avoided, self-harm related hospital admissions avoided, and mental health-related emergency department presentation, using a 10-year time horizon for health-care and societal perspectives. We investigated uncertainty through probabilistic sensitivity analysis and deterministic sensitivity analysis, including using a 30-year timeframe.

FINDINGS

From a societal perspective, increased investment in technology-enabled integrated care, family education, an online parenting programme, and multicultural-informed care were expected to improve health outcomes (incremental QALYs 4517 [95% UI -3135 to 14 507] for technology-enabled integrated care; 339 [91 to 661] for family education; 724 [114 to 1149] for the online parenting programme; and 137 [88 to 194] for multicultural-informed care) and reduce costs ($-91·4 million [-382·7 to 100·7]; $-12·8 million [-21·0 to -6·6]; $-3·6 million  [-6·3 to 0·2]; and $-3·1 million [-4·5 to -1·8], respectively) compared with business as usual using a 10-year time horizon. The incremental net monetary benefit for the societal perspective for these four interventions was $452 million (-351 to 1555), $40 million (14 to 74), $61 million (9 to 98), and $14 million (9 to 20), respectively, compared with business as usual, when QALYs were monetised using a willingness to pay of $79 930 per QALY. Synergistic effects are anticipated if these interventions were to be implemented concurrently. The univariate and probabilistic sensitivity analyses indicated a high level of certainty in the results. Although emergency department-based suicide prevention and school-based suicide prevention were not cost effective in the base case (41 QALYs [0 to 48], incremental cost $4·1 million [1·2 to 8·2] for emergency department-based suicide prevention; -234 QALYs [-764 to 12], incremental cost $90·3 million [72·2 to 111·0] for school-based suicide prevention) compared with business as usual, there were scenarios for which these interventions could be considered cost effective. A dedicated trauma service for young people (9 QALYs gained [4 to 16], incremental cost $8·3 million [6·8 to 10·0]) and a crisis response service (-11 QALYs gained [-12 to -10], incremental cost $7·8 million [5·1 to 11·0]) were unlikely to be cost effective in terms of QALYs.

INTERPRETATION

Synergistic effects were identified, supporting the combined implementation of technology-enabled integrated care, family education, an online parenting programme, and multicultural-informed care. Synergistic effects, emergent outcomes in the form of unintended consequences, the capability to account for service capacity constraints, and ease of use by stakeholders are unique attributes of a system dynamics modelling approach to economic evaluation.

FUNDING

BHP Foundation.

Evaluating participant experiences of Community Panels to scrutinise policy modelling for health inequalities: the SIPHER Consortium

Data-intensive research, including policy modelling, poses some distinctive challenges for efforts to mainstream public involvement into health research. There is a need for learning about how to design and deliver involvement for these types of research which are highly technical, and where researchers are at a distance from the people whose lives data depicts. This article describes our experiences involving members of the public in the SIPHER Consortium, a data-intensive policy modelling programme with researchers and policymakers working together over five years to try to address health inequalities. We focus on evaluating people's experiences as part of Community Panels for SIPHER. Key issues familiar from general public involvement efforts include practical details, careful facilitation of meetings, and payment for participants. We also describe some of the more particular learning around how to communicate technical research to non-academic audiences, in order to enable public scrutiny of research decisions. We conclude that public involvement in policy modelling can be meaningful and enjoyable, but that it needs to be carefully organised, and properly resourced.

Methods and measures to evaluate the impact of participatory model building on public policymakers: a scoping review protocol

INTRODUCTION

Public policymakers are increasingly engaged in participatory model building processes, such as group model building. Understanding the impacts of policymaker participation in these processes on policymakers is important given that their decisions often have significant influence on the dynamics of complex systems that affect health. Little is known about the extent to which the impacts of participatory model building on public policymakers have been evaluated or the methods and measures used to evaluate these impacts.

METHODS AND ANALYSIS

A scoping review protocol was developed with the objectives of: (1) scoping studies that have evaluated the impacts of facilitated participatory model building processes on public policymakers who participated in these processes; and (2) describing methods and measures used to evaluate impacts and the main findings of these evaluations. The Joanna Briggs Institute's Population, Concept, Context framework was used to formulate the article identification process. Seven electronic databases-MEDLINE (Ovid), ProQuest Health and Medical, Scopus, Web of Science, Embase (Ovid), CINAHL Complete and PsycInfo-will be searched. Identified articles will be screened according to inclusion and exclusion criteria and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist for scoping reviews will be used and reported. A data extraction tool will collect information across three domains: study characteristics, methods and measures, and findings. The review will be conducted using Covidence, a systematic review data management platform.

ETHICS AND DISSEMINATION

The scoping review produced will generate an overview of how public policymaker engagement in participatory model building processes has been evaluated. Findings will be disseminated through peer-reviewed publications and to communities of practice that convene policymakers in participatory model building processes. This review will not require ethics approval because it is not human subject research.

Agent-based simulation and child protection systems: Rationale, implementation, and verification

BACKGROUND AND OBJECTIVE

Simulation models are an important tool used in health care and other disciplines to support operational research and decision-making. In the child protection literature, simulation models are an under-utilized source of research evidence.

PARTICIPANTS AND SETTING

In this paper, we describe the rationale for and the development of an agent-based simulation of a child protection system in the US. Using the investigation, prevention service, and placement histories of 600,000 children served in an urban child welfare system, we walk the reader through the development of a prototype known as OSPEDALE.

METHODS

The governing equations built into OSPEDALE probabilistically simulate the onset of investigations. Then, drawing from empirical survival distributions, the governing equations trace the probability of subsequent interactions with the system (recurrence of maltreatment, service referrals, and placement) conditional on the characteristics of children, their assessed risk level, and prior child protection system involvement.

RESULTS

As an initial test of OSPEDALE's utility, we compare empirical admission counts with counts generated from OSPEDALE. Though the verification step is admittedly simple, the comparison shows that OSPEDALE replicates the empirical count of new admissions closely enough to justify further investment in OSPEDALE.

CONCLUSIONS

Management of public child protection systems is increasingly research evidence-dependent. The emphasis on research evidence as a decision-support tool has elevated evidence acquired through randomized clinical trials. Though important, the evidence from clinical trials represents only one type of research evidence. Properly specified, simulation models are another source of evidence with real-world relevance.

Equitable Policies Need Equitable Practices: Alcohol- and Substance-Exposed Pregnancy as a Case Study

There is clear need for more effective public health policies. Coupled with calls for more effective policies, increasing demand to address public health disparities experienced by systemically marginalized and historically oppressed groups emphasizes the long-standing need for policies that improve public health equity. Such need is highlighted when examining public health issues such as alcohol- and substance-exposed pregnancy (ASEP): Current policies are ineffective at reducing ASEP, and marginalized groups experience disproportionately lower benefits and higher negative consequences as a result of such policies. Powerful strategies to develop more effective policies that can account for the complexity of such issues, such as systems science methods (SSMs), are becoming popular. However, current best practices for such methods often do not emphasize the additional efforts that will be required to develop equitable, not just effective policies. Using ASEP as an example of a crucial complex issue requiring new policy, we suggest additional steps to include in SSM projects for developing more effective policies that will also help stakeholders determine high-equity policies to reduce health disparities. These steps include modeling structural differences experienced by marginalized groups via systemic racism and oppression, incorporating existing cultural and community sources of strength and resilience as key areas for policy development, and evaluating the sustainability of policies as a dimension of efficacy. We also discuss using community-based participatory approaches as a framework for all SSM processes to ensure that policy development itself is grounded in equitable shared decision-making for marginalized individuals.

A systems science leverage point analysis of climate change advocacy

Failure of governments across the world to address climate change has fuelled social movements focused on climate-related policy and action. Research analysing these movements has focused mainly on the types of strategies employed including blockades and occupations, marches and petitions, divestment, boycotts and litigation as well as how groups are framing climate change as a problem. What has been largely missed are the ways these groups are framing the change they want to see, that is their demands to governments. Not all demands and actions have the same potential to create the changes needed to mitigate climate change. Used in public health and health promotion, the systems science Intervention Level Framework (ILF) is a tool that can help analyse to what extent different demands have the leverage to create change in a system. We use the ILF to analyse 131 demands from 35 different climate-related advocacy groups in Australia. Results show demands are more focused on lower system leverage points, such as stopping particular projects, rather than on more impactful leverage points, such as the governance structures that determine climate-related policy and decision-making mechanisms. Further, the results highlight the lack of attention on public health related topics of transport and food systems. This paper shows how a systems science framework used in health promotion, the ILF, could enable climate advocacy groups to more effectively target demands to achieve more impactful outcomes from governments, corporations and the public.

System dynamics modeling for cancer prevention and control: A systematic review

Cancer prevention and control requires consideration of complex interactions between multilevel factors. System dynamics modeling, which consists of diagramming and simulation approaches for understanding and managing such complexity, is being increasingly applied to cancer prevention and control, but the breadth, characteristics, and quality of these studies is not known. We searched PubMed, Scopus, APA PsycInfo, and eight peer-reviewed journals to identify cancer-related studies that used system dynamics modeling. A dual review process was used to determine eligibility. Included studies were assessed using quality criteria adapted from prior literature and mapped onto the cancer control continuum. Characteristics of studies and models were abstracted and qualitatively synthesized. 32 studies met our inclusion criteria. A mix of simulation and diagramming approaches were used to address diverse topics, including chemotherapy treatments (16%), interventions to reduce tobacco or e-cigarettes use (16%), and cancer risk from environmental contamination (13%). Models spanned all focus areas of the cancer control continuum, with treatment (44%), prevention (34%), and detection (31%) being the most common. The quality assessment of studies was low, particularly for simulation approaches. Diagramming-only studies more often used participatory approaches. Involvement of participants, description of model development processes, and proper calibration and validation of models showed the greatest room for improvement. System dynamics modeling can illustrate complex interactions and help identify potential interventions across the cancer control continuum. Prior efforts have been hampered by a lack of rigor and transparency regarding model development and testing. Supportive infrastructure for increasing awareness, accessibility, and further development of best practices of system dynamics for multidisciplinary cancer research is needed.

How do local authority plans to tackle obesity reflect systems thinking?

AIMS

A whole systems approach to tackling obesity has been recommended by Public Health England for several years. This qualitative study aimed to investigate whether systems thinking is reflected in local authority plans and strategies to tackle obesity, using the leverage points for intervention in a complex system, as a framework.

METHOD

We sought to identify obesity strategies/plans for Southampton and 19 other local authority comparators (based on children's services and Office for National Statistics data). A healthy weight strategy was available for 10 local authorities and a qualitative document analysis was undertaken. The policy actions proposed in the plans were coded against the leverage points for intervention in a complex system and themes were developed to characterise interventions in each category.

RESULTS

A majority of actions included in the plans were categorised as 'Numbers, Constants and Parameters' which reflect downstream measures. However, there were examples of actions that could act on higher leverage points. In addition, some local authority plans included interventions that could act on 10 of the 12 leverage points suggesting incorporation of systems thinking.

CONCLUSIONS

Some local authority plans to tackle obesity do reflect systems thinking when viewed through the lens of the leverage points for intervention in a complex system. Interventions at higher leverage points should be prioritised by public health decision-makers, especially in a climate of competing agendas and limited resources.

Letting people flourish: defining and suggesting skills for maintaining and improving positive health

Background

The concept of "positive health" emerged from the need for a holistic and more dynamic perspective on health, emphasising the ability of individuals to adapt and self-manage. The positive health conversation tool helps understand how people score on six positive health dimensions. However, skills within these dimensions to maintain or improve health have not yet been described. This is important for enabling individuals to put health advice into practise. Therefore, this paper aims to define and suggest skills for maintaining and improving positive health.

Subsections

Suggestions for definitions of skills within the positive health dimensions are described using the functional, interactive, and critical health literacy framework. Additionally, executive functions and life skills were incorporated. Moreover, the environment's role in these individual skills was noted, mentioning organisational health literacy that emphasises organisations' responsibility to provide comprehensible health information to all individuals. We propose that health promotion interventions can incorporate the proposed skills in practical exercises while aligning intervention materials and implementation tools with end-users and implementers.

Discussion and conclusion

The suggested skills for maintaining and improving positive health are a first step towards a more comprehensive understanding and open to discussion. These skills may also be applied to other practical conversation tools for maintaining or improving health. Increasing positive health through the defined skills may be especially relevant to those with a lower socioeconomic position who also have limited health literacy and thereby may contribute to reducing health inequalities. Taken together, strengthening the defined skills may hopefully contribute to allowing people to flourish in life.

The politics of agricultural policy and nutrition: A case study of Malawi's Farm Input Subsidy Programme (FISP)

The concept of food and nutrition policy has broadened from simply being an aspect of health policy, to policy interventions from across a wide range of sectors, but still with potentially important impact on nutritional outcomes. This wider and more complex conceptualisation involves policy with multiple objectives and stakeholder influences. Thus, it becomes particularly important to understand the dynamics of these policy processes, including policy design and implementation. To add to this literature, we apply the Kaleidoscope Model for understanding policy change in developing country contexts to the case-study of an agricultural input subsidy (AIS) programme in Malawi, the Farm Input Subsidy Programme (FISP), exploring the dynamics of the FISP policy process including nutritional impact. Over a three-month period between 2017 and 2019 we conducted in-depth interviews with key stakeholders at national and district levels, and focus groups with people from rural districts in Malawi. We also undertook a review of literature relating to the political economy of the FISP. We analysed the data thematically, as per the domains of the Kaleidoscope Model. The analysis across the FISP policy process including policy design and implementation highlights how stakeholders' ideas, interests and influence have shaped the evolution of FISP policy including constraints to policy improvement-and the nutritional impacts of this. This approach extends the literature on the tensions, contradictions and challenges in food and nutrition policy by examining the reasons that these occur in Malawi with the FISP. We also add to the political science and policy analysis literature on policy implementation, extending the concept of veto players to include those targeted by the policy. The findings are important for consideration by policymakers and other stakeholders seeking to address malnutrition in rural, food-insecure populations in Malawi and other low-income settings.

Applications of Participatory System Dynamics Methods to Public Health: A Systematic Review

System dynamics, and specifically qualitative participatory applications of system dynamics, have potential to benefit public health research, scholarship, and practice. A systematic review was conducted to examine the existing applications of participatory system dynamics (PSD) to public health research. Three databases were searched using unique search terms related to PSD and methodological applications in public health research. A total of 57 unique articles met inclusion criteria and were included for review. The studies included for review were conducted globally and represent a wide breadth of public health issues. The review identified several advantages to adopting PSD methods in public health scholarship and practice. The PSD methods provide innovative frameworks for conceptualizing complex and nuanced public health problems. The participatory nature of PSD allows for increased community engagement and empowerment to address public health problems, as well as to mitigate existing power dynamics between research institutions and marginalized communities that are disproportionately impacted by social and health inequities. Finally, causal loop diagrams developed using PSD methods have unique potential to convey complex concepts to policy makers and interventionists. This systematic review reports evidence for PSD's potential to advance equity in public health research and practice.

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.

Systems thinking in practice when implementing a national policy program for the improvement of women's healthcare

Introduction

Interest in applying systems thinking (ST) in public health and healthcare improvement has increased in the past decade, but its practical use is still unclear. ST has been found useful in addressing the complexity and dynamics of organizations and welfare systems during periods of change. Exploring how ST is used in practice in national policy programs addressing complex and ill-structured problems can increase the knowledge of the use and eventually the usefulness of ST during complex changes. In ST, a multi-level approach is suggested to coordinate interventions over individual, organizational, and community levels, but most attempts to operationalize ST focus on the individual level. This study aimed to investigate how ST is expressed in policy programs addressing wicked problems and describe the specific action strategies used in practice in a national program in Sweden, using a new conceptual framework comprising ST principles on the organizational level as an analytical tool. The program addresses several challenges and aims to achieve systems change within women's healthcare.

Methods

The case study used a rich set of qualitative, longitudinal data on individual, group, and organizational levels, collected during the implementation of the program. Deductive content analysis provided narrative descriptions of how the ST principles were expressed in actions, based on interviews, observations, and archival data.

Results

The results showed that the program management team used various strategies and activities corresponding to organizational level ST. The team convened numerous types of actors and used collaborative approaches and many different information sources in striving to create a joint and holistic understanding of the program and its context. Visualization tools and adaptive approaches were used to support regional contact persons and staff in their development work. Efforts were made to identify high-leverage solutions to problems influencing the quality and coordination of care before, during, and after childbirth, solutions adaptable to regional conditions.

Discussion/conclusions

The organizational level ST framework was useful for identifying ST in practice in the policy program, but to increase further understanding of how ST is applied within policy programs, we suggest a multi-dimensional model to identify ST on several levels.

Using System Dynamics to Understand Transnational Corporate Power in Diet-Related Non-communicable Disease Prevention Policy-Making: A Case Study of South Africa

BACKGROUND

Complex interactions between political economy factors and corporate power are increasingly recognized to prevent transformative policy action on non-communicable disease (NCD) prevention. System science offers promising methods for analysing such causal complexity. This study uses qualitative system dynamics methods to map the political economy of diet-related NCD (DR-NCD) prevention policy-making aiming to better understand the policy inertia observed in this area globally.

METHODS

We interviewed 25 key policy actors. We analysed the interviews using purposive text analysis (PTA). We developed individual then combined casual loop diagrams to generate a shared model representing the DR-NCD prevention policy-making system. Key variables/linkages identified from the literature were also included in the model. We validated the model in several steps including through stakeholder validation interviews.

RESULTS

We identified several inter-linked feedback processes related to political economy factors that may entrench different forms of corporate power (instrumental, structural, and discursive) in DR-NCD prevention policy-making in South Africa over time. We also identified a number of feedback processes that have the potential to limit corporate power in this setting.

CONCLUSION

Using complex system methods can be useful for more deeply understanding DR-NCD policy inertia. It is also useful for identifying potential leverage points within the system which may shift the existing power dynamics to facilitate greater political commitment for healthy, equitable, and sustainable food system transformation.

Codesigning a systemic discharge intervention for inpatient mental health settings (MINDS): a protocol for integrating realist evaluation and an engineering-based systems approach

INTRODUCTION

Transition following discharge from mental health hospital is high risk in terms of relapse, readmission and suicide. Discharge planning supports transition and reduces risk. It is a complex activity involving interacting systemic elements. The codesigning a systemic discharge intervention for inpatient mental health settings (MINDS) study aims to improve the process for people being discharged, their carers/supporters and staff who work in mental health services, by understanding, co-designing and evaluating implementation of a systemic approach to discharge planning.

METHODS AND ANALYSIS

The MINDS study integrates realist research and an engineering-informed systems approach across three stages. Stage 1 applies realist review and evaluation using a systems approach to develop programme theories of discharge planning. Stage 2 uses an Engineering Better Care framework to codesign a novel systemic discharge intervention, which will be subjected to process and economic evaluation in stage 3. The programme theories and resulting care planning approach will be refined throughout the study ready for a future clinical trial. MINDS is co-led by an expert by experience, with researchers with lived experience co-leading each stage.

ETHICS AND DISSEMINATION

MINDS stage 1 has received ethical approval from Yorkshire & The Humber-Bradford Leeds (Research Ethics Committee (22/YH/0122). Findings from MINDS will be disseminated via high-impact journal publications and conference presentations, including those with service user and mental health professional audiences. We will establish routes to engage with public and service user communities and National Health Service professionals including blogs, podcasts and short videos.

TRIAL REGISTRATION NUMBER

MINDS is funded by the National Institute of Health Research (NIHR 133013) https://fundingawards.nihr.ac.uk/award/NIHR133013. The realist review protocol is registered on PROSPERO.

PROSPERO REGISTRATION NUMBER

CRD42021293255.

Systems science methods in public health: what can they contribute to our understanding of and response to the cost-of-living crisis?

BACKGROUND

Many complex public health evidence gaps cannot be fully resolved using only conventional public health methods. We aim to familiarise public health researchers with selected systems science methods that may contribute to a better understanding of complex phenomena and lead to more impactful interventions. As a case study, we choose the current cost-of-living crisis, which affects disposable income as a key structural determinant of health.

METHODS

We first outline the potential role of systems science methods for public health research more generally, then provide an overview of the complexity of the cost-of-living crisis as a specific case study. We propose how four systems science methods (soft systems, microsimulation, agent-based and system dynamics models) could be applied to provide more in-depth understanding. For each method, we illustrate its unique knowledge contributions, and set out one or more options for studies that could help inform policy and practice responses.

RESULTS

Due to its fundamental impact on the determinants of health, while limiting resources for population-level interventions, the cost-of-living crisis presents a complex public health challenge. When confronted with complexity, non-linearity, feedback loops and adaptation processes, systems methods allow a deeper understanding and forecasting of the interactions and spill-over effects common with real-world interventions and policies.

CONCLUSIONS

Systems science methods provide a rich methodological toolbox that complements our traditional public health methods. This toolbox may be particularly useful in early stages of the current cost-of-living crisis: for understanding the situation, developing solutions and sandboxing potential responses to improve population health.

A Systematic Review on the Effectiveness of Systems-Based Practice Curricula in Health Professions Education

This systematic review aims to evaluate the effectiveness of systems-based practice (SBP) curricula from the perspective of health professions students and workers. A total of 8468 citations were sourced from six electronic databases and manual searches conducted independently by two researchers, of which 44 studies were eventually included. A meta-analysis using a random effects model and a meta-synthesis using the thematic synthesis approach were conducted. Most studies targeted medical students, residents, and resident physicians from various clinical specialties. Almost half of all studies focused on didactic or knowledge-based interventions to teach SBP. About a third of all studies measured non-self-evaluated knowledge change, clinical abilities, and clinical outcomes. Both meta-analysis and meta-synthesis results revealed positive outcomes of increased knowledge of SBP, increased recognition of SBP as a core competency in one's profession, and increased application of SBP knowledge in one's profession. Meta-synthesis results also revealed negative outcomes at the institutional and teacher/health professions level. This review highlights the importance of SBP education and supports the effectiveness of SBP curricula. There is a need to address the negative outcomes at the institutional and teacher/health professions level. Moreover, future studies could investigate the integration of self-assessment outcomes with comparison to some external standard.

A Systematic Review of Systems Science Approaches to Understand and Address Domestic and Gender-Based Violence

Purpose

We aimed to synthesize insights from systems science approaches applied to domestic and gender-based violence.

Methods

We conducted a systematic review of systems science studies (systems thinking, group model-building, agent-based modeling [ABM], system dynamics [SD] modeling, social network analysis [SNA], and network analysis [NA]) applied to domestic or gender-based violence, including victimization, perpetration, prevention, and community responses. We used blinded review to identify papers meeting our inclusion criteria (i.e., peer-reviewed journal article or published book chapter that described a systems science approach to domestic or gender-based violence, broadly defined) and assessed the quality and transparency of each study.

Results

Our search yielded 1,841 studies, and 74 studies met our inclusion criteria (45 SNA, 12 NA, 8 ABM, and 3 SD). Although research aims varied across study types, the included studies highlighted social network influences on risks for domestic violence, clustering of risk factors and violence experiences, and potential targets for intervention. We assessed the quality of the included studies as moderate, though only a minority adhered to best practices in model development and dissemination, including stakeholder engagement and sharing of model code.

Conclusions

Systems science approaches for the study of domestic and gender-based violence have shed light on the complex processes that characterize domestic violence and its broader context. Future research in this area should include greater dialogue between different types of systems science approaches, consideration of peer and family influences in the same models, and expanded use of best practices, including continued engagement of community stakeholders.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10896-023-00578-8.

The Application of Systems Thinking to the Prevention and Control of Sexually Transmissible Infections among Adolescents and Adults: A Scoping Review

Systems thinking is a mechanism for making sense of complex systems that challenge linear explanations of cause-and-effect. While the prevention and control of sexually transmissible infections (STIs) has been identified as an area that may benefit from systems-level analyses, no review on the subject currently exists. The aim of this study is to conduct a scoping review to identify literature in which systems thinking has been applied to the prevention and control of STIs among adolescent and adult populations. Joanna Briggs Institute guidelines for the conduct of scoping reviews were followed. Five databases were searched for English-language studies published after 2011. A total of n = 6102 studies were screened against inclusion criteria and n = 70 were included in the review. The majority of studies (n = 34) were conducted in African nations. Few studies focused on priority sub-populations, and 93% were focused on HIV (n = 65). The most commonly applied systems thinking method was system dynamics modelling (n = 28). The review highlights areas for future research, including the need for more STI systems thinking studies focused on: (1) migrant and Indigenous populations; (2) conditions such as syphilis; and (3) innovations such as pre-exposure prophylaxis and at-home testing for HIV. The need for conceptual clarity around 'systems thinking' is also highlighted.

Perspectives of (/memorandum for) systems thinking on COVID-19 pandemic and pathology

Is data-driven analysis sufficient for understanding the COVID-19 pandemic and for justifying public health regulations? In this paper, we argue that such analysis is insufficient. Rather what is needed is the identification and implementation of over-arching hypothesis-related and/or theory-based rationales to conduct effective SARS-CoV2/COVID-19 (Corona) research. To that end, we analyse and compare several published recommendations for conceptual and methodological frameworks in medical research (e.g., public health, preventive medicine and health promotion) to current research approaches in medical Corona research. Although there were several efforts published in the literature to develop integrative conceptual frameworks before the COVID-19 pandemic, such as social ecology for public health issues and systems thinking in health care, only a few attempts to utilize these concepts can be found in medical Corona research. For this reason, we propose nested and integrative systemic modelling approaches to understand Corona pandemic and Corona pathology. We conclude that institutional efforts for knowledge integration and systemic thinking, but also for integrated science, are urgently needed to avoid or mitigate future pandemics and to resolve infection pathology.

System Action Learning: Reorientating Practice for System Change in Preventive Health

It is now widely accepted that many of the problems we face in public health are complex, from chronic disease to COVID-19. To grapple with such complexity, researchers have turned to both complexity science and systems thinking to better understand the problems and their context. Less work, however, has focused on the nature of complex solutions, or intervention design, when tackling complex problems. This paper explores the nature of system intervention design through case illustrations of system action learning from a large systems level chronic disease prevention study in Australia. The research team worked with community partners in the design and implementation of a process of system action learning designed to reflect on existing initiatives and to reorient practice towards responses informed by system level insights and action. We were able to observe and document changes in the mental models and actions of practitioners and in doing so shine a light on what may be possible once we turn our attention to the nature and practice of system interventions.

Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study

Background: despite a broad consensus on their importance, applications of systems thinking in policymaking and practice have been limited. This is partly caused by the longstanding practice of developing systems maps and software in the intention of supporting policymakers, but without knowing their needs and practices. Objective: we aim to ensure the effective use of a systems mapping software by policymakers seeking to understand and manage the complex system around obesity, physical, and mental well-being. Methods: we performed a usability study with eight policymakers in British Columbia based on a software tool (ActionableSystems) that supports interactions with a map of obesity. Our tasks examine different aspects of systems thinking (e.g., unintended consequences, loops) at several levels of mastery and cover common policymaking needs (identification, evaluation, understanding). Video recordings provided quantitative usability metrics (correctness, time to completion) individually and for the group, while pre- and post-usability interviews yielded qualitative data for thematic analysis. Results: users knew the many different factors that contribute to mental and physical well-being in obesity; however, most were only familiar with lower-level systems thinking concepts (e.g., interconnectedness) rather than higher-level ones (e.g., feedback loops). Most struggles happened at the lowest level of the mastery taxonomy, and predominantly on network representation. Although participants completed tasks on loops and multiple pathways mostly correctly, this was at the detriment of spending significant time on these aspects. Results did not depend on the participant, as their experiences with the software were similar. The thematic analysis revealed that policymakers did not have a typical workflow and did not use any special software or tools in their policy work; hence, the integration of a new tool would heavily depend on individual practices. Conclusions: there is an important discrepancy between what constitutes systems thinking to policymakers and what parts of systems thinking are supported by software. Tools may be more successfully integrated when they include tutorials (e.g., case studies), facilitate access to evidence, and can be linked to a policymaker’s portfolio.

Use of qualitative systems mapping and causal loop diagrams to understand food environments, diet and obesity: a scoping review protocol

INTRODUCTION

Food systems can shape dietary behaviour and obesity outcomes in complex ways. Qualitative systems mapping using causal loop diagrams (CLDs) can depict how people understand the complex dynamics, inter-relationships and feedback characteristic of food systems in ways that can support policy planning and action. To date, there has been no attempt to review this literature. The objectives of this review are to scope the extent and nature of studies using qualitative systems mapping to facilitate the development of CLDs by stakeholders to understand food environments, including settings and populations represented, key findings and the methodological processes employed. It also seeks to identify gaps in knowledge and implications for policy and practice.

METHODS AND ANALYSIS

This protocol describes a scoping review guided by the Joanna Briggs Institute manual, the framework by Khalil and colleagues and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist reporting guidelines. A search strategy was iteratively developed with two academic librarians and the research team. This strategy will be used to search six databases, including Ovid MEDLINE, Embase, EmCare, Web of Science, Scopus and ProQuest Central. Identified citations will be screened by two independent reviewers; first, by title and abstract, and then full-text articles to identify papers eligible for inclusion. The reference lists of included studies and relevant systematic reviews will be searched to identify other papers eligible for inclusion. Two reviewers will extract information from all included studies and summarise the findings descriptively and numerically.

ETHICS AND DISSEMINATION

The scoping review will provide an overview of how CLDs developed by stakeholders have been elicited to understand food environments, diet and obesity, the insights gained and how the CLDs have been used. It will also highlight gaps in knowledge and implications for policy and practice. The review will be disseminated through publication in an academic journal and conference presentations.

A scoping review of complex systems methods used in population physical activity research: do they align with attributes of a whole system approach?

BACKGROUND

Complex systems approaches are increasingly used in health promotion and noncommunicable disease prevention research, policy and practice. Questions emerge as to the best ways to take a complex systems approach, specifically with respect to population physical activity (PA). Using an Attributes Model is one way to understand complex systems. We aimed to examine the types of complex systems methods used in current PA research and identify what methods align with a whole system approach as reflected by an Attributes Model.

METHODS

A scoping review was conducted and two databases were searched. Twenty-five articles were selected and data analysis was based upon the following: the complex systems research methods used, research aims, if participatory methods were used and evidence of discussion regarding attributes of systems.

RESULTS

There were three groups of methods used: system mapping, simulation modelling and network analysis. System mapping methods appeared to align best with a whole system approach to PA promotion because they largely aimed to understand complex systems, examined interactions and feedback among variables, and used participatory methods. Most of these articles focused on PA (as opposed to integrated studies). Simulation modelling methods were largely focused on examining complex problems and identifying interventions. These methods did not generally focus on PA or use participatory methods. While network analysis articles focused on examining complex systems and identifying interventions, they did not focus on PA nor use participatory methods. All attributes were discussed in some way in the articles. Attributes were explicitly reported on in terms of findings or were part of discussion and conclusion sections. System mapping methods appear to be well aligned with a whole system approach because these methods addressed all attributes in some way. We did not find this pattern with other methods.

CONCLUSIONS

Future research using complex systems methods may benefit from applying the Attributes Model in conjunction with system mapping methods. Simulation modelling and network analysis methods are seen as complementary and could be used when system mapping methods identify priorities for further investigation (e.g. what interventions to implement or how densely connected relationships are in systems).

Development of the Systems Thinking for Health Actions framework: a literature review and a case study

BACKGROUND

Systems thinking is an approach that views systems with a holistic lens, focusing on how components of systems are interconnected. Specifically, the application of systems thinking has proven to be beneficial when applied to health systems. Although there is plenty of theory surrounding systems thinking, there is a gap between the theoretical use of systems thinking and its actual application to tackle health challenges. This study aimed to create a framework to expose systems thinking characteristics in the design and implementation of actions to improve health.

METHODS

A systematised literature review was conducted and a Taxonomy of Systems Thinking Objectives was adapted to develop the new 'Systems Thinking for Health Actions' (STHA) framework. The applicability of the framework was tested using the COVID-19 response in Pakistan as a case study.

RESULTS

The framework identifies six key characteristics of systems thinking: (1) recognising and understanding interconnections and system structure, (2) identifying and understanding feedback, (3) identifying leverage points, (4) understanding dynamic behaviour, (5) using mental models to suggest possible solutions to a problem and (6) creating simulation models to test policies. The STHA framework proved beneficial in identifying systems thinking characteristics in the COVID-19 national health response in Pakistan.

CONCLUSION

The proposed framework can provide support for those aiming to applying systems thinking while developing and implementing health actions. We also envision this framework as a retrospective tool that can help assess if systems thinking was applied in health actions.

Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review

BACKGROUND

Given the complex determinants of non-communicable diseases (NCDs), and the dynamic policy landscape, researchers and policymakers are exploring the use of systems thinking and complexity science (STCS) in developing effective policies. The aim of this review is to systematically identify and analyse existing applications of STCS-informed methods in NCD prevention policy.

METHODS

Systematic scoping review: We searched academic databases (Medline, Scopus, Web of Science, EMBASE) for all publications indexed by 13 October 2020, screening titles, abstracts and full texts and extracting data according to published guidelines. We summarised key data from each study, mapping applications of methods informed by STCS to policy process domains. We conducted a thematic analysis to identify advantages, limitations, barriers and facilitators to using STCS.

RESULTS

4681 papers were screened and 112 papers were included in this review. The most common policy areas were tobacco control, obesity prevention and physical activity promotion. Methods applied included system dynamics modelling, agent-based modelling and concept mapping. Advantages included supporting evidence-informed decision-making; modelling complex systems and addressing multi-sectoral problems. Limitations included the abstraction of reality by STCS methods, despite aims of encompassing greater complexity. Challenges included resource-intensiveness; lack of stakeholder trust in models; and results that were too complex to be comprehensible to stakeholders. Ensuring stakeholder ownership and presenting findings in a user-friendly way facilitated STCS use.

CONCLUSION

This review maps the proliferating applications of STCS methods in NCD prevention policy. STCS methods have the potential to generate tailored and dynamic evidence, adding robustness to evidence-informed policymaking, but must be accessible to policy stakeholders and have strong stakeholder ownership to build consensus and change stakeholder perspectives. Evaluations of whether, and under what circumstances, STCS methods lead to more effective policies compared to conventional methods are lacking, and would enable more targeted and constructive use of these methods.

Tingbjerg Changing Diabetes: experiencing and navigating complexity in a community-based health promotion initiative in a disadvantaged neighbourhood in Copenhagen, Denmark

As a response to the complexity of reducing health inequity there has been a rise in community-based health promotion interventions adhering to the principles of complexity thinking. Such interventions often work with adaptive practice and constitute themselves in complex webs of collaborations between multiple stakeholders. However, few efforts have been made to articulate how complexity can be navigated and addressed by stakeholders in practice. This study explores how partners experience and navigate complexity in the partnership behind Tingbjerg Changing Diabetes (TCD), a community-based intervention addressing health and social development in the disadvantaged neighborhood of Tingbjerg in urban Copenhagen. The study provides important insights on the role of context and how it contributes complexity in community-based health promotion.The study is based on 18 months of ethnographic fieldwork in the local community including participant observations and 9 in-depth interviews with key partner representatives. Findings show that complexity in TCD can be characterized by unpredictability in actions and outcomes, undefined purpose and direction, and differing organizational logics. Factors that support partners' navigation in complexity include connectivity, embracing a flexible intervention framework, autonomy, and quick responsiveness. The study showcases the interdependency between the intervention and the context of the disadvantaged neighborhood of Tingbjerg and encourages stakeholders and researchers to embrace the messiness of complexity, and to pay attention to ways through which messiness and unpredictability can be handled.

Mechanisms and contextual factors related to key elements of a successful integrated community-based approach aimed at reducing socioeconomic health inequalities in the Netherlands: A realist evaluation perspective

BACKGROUND

Reducing health inequalities is a challenge for policymakers and civil society. A multisectoral and multilevel approach is most promising to reduce those inequalities. Previous research showed what key elements of Zwolle Healthy City, an integrated community-based approach aimed at reducing socioeconomic health inequalities, are. To fully understand approaches that are complex and context dependent, questions as 'how does the intervention work' and 'in what context does it work' are just as important as 'what works'. The current study aimed to identify mechanisms and contextual factors associated with the key elements of Zwolle Healthy City, using a realist evaluation perspective.

METHODS

Transcripts of semi-structured interviews with a wide range of local professionals were used (n = 29). Following realist evaluation logic in the analysis of this primary data, context-mechanism-outcome configurations were identified and thereafter discussed with experts (n = 5).

RESULTS

How mechanisms (M) in certain contexts (C) were of influence on the key elements (O) of the Zwolle Healthy City approach are described. For example, how, in the context of the responsible aldermen embracing the approach (C), regular meetings with the aldermen (M) increased support for the approach among involved professionals (O). Or, how, in the context of available financial resources (C), assigning a program manager (M) contributed positively to coordination and communication (O). All 36 context-mechanism-outcome configurations can be found in the repository.

CONCLUSION

This study showed what mechanisms and contextual factors are associated with the key elements of Zwolle Healthy City. By applying realist evaluation logic in the analysis of primary qualitative data we were able to disentangle the complexity of processes of this whole system approach and show this complexity in a structured manner. Also, by describing the context in which the Zwolle Healthy City approach is implemented, we contribute to the transferability of this approach across different contexts.

Understanding Prevention Networks in a Local Government Area: Insights From a Social Network Analysis Among Western Australian Nutrition, Physical Activity, and Obesity Prevention Programs

This study aimed to use systems thinking tools to understand network relationships to inform discussions, policy, and practice to improve nutrition, physical activity, and overweight/obesity prevention activities in a Western Australian local government area. An audit of nutrition, physical activity, and obesity prevention activities was conducted, and identified organizations were invited to participate in an organizational network survey. Social network analysis (SNA) determined the extent to which organizations shared information, knowledge, and resources; engaged in joint program planning; applied for and shared funding; and identified operational barriers and contributors. SNA data were mapped and analyzed using UCINET 6 and Netdraw software. Five organizations within the network were identified as core; the remainder were periphery. The strongest networks were sharing information, and the weakest was funding. The connections were centralized to one organization, enabling them to readily influence other organizations and network operations. Remaining organizations indicated limited partnership across the networks. Strengthened collaborations and partnerships are essential to health promotion, as they extend reach and organizational capabilities. This study provides a process for undertaking network analysis, identifying leverage points to facilitate communication and information sharing, and reorienting of collaborations and partnerships to consolidate scarce resources and act strategically within a bounded area. There is a need for stronger relationships between organizations and a reorientation of partnerships to facilitate resource sharing within the local government area, to improve nutrition, physical activity, and obesity prevention practices. SNA can assist in understanding organizational prevention networks within a bounded area to support future planning of practices and policy.

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.

Assessing the Impacts of Creating Active Schools on Organisational Culture for Physical Activity

BACKGROUND

National and international guidance recommends whole-school approaches to physical activity, but there are few studies assessing their effectiveness, especially at an organisational level. This study assesses the impact of the Creating Active School's (CAS) programme on organisational changes to physical activity provision.

METHODS

In-school CAS leads completed a 77-item questionnaire assessing school-level organisational change. The questionnaire comprised 19 domains aligned with the CAS framework and COM-B model of behaviour change. Wilcoxon Signed Rank Tests assessed the pre-to-nine-month change.

RESULTS

>70% of schools (n = 53) pre-CAS had inadequate whole-school physical activity provision. After nine months (n = 32), CAS had a significant positive effect on organisational physical activity. The positive change was observed for: whole-school culture and ethos, teachers and wider school staff, academic lessons, physical education (PE) lessons, commute to/from school and stakeholder behaviour.

CONCLUSIONS

This study provides preliminary evidence that CAS is a viable model to facilitate system-level change for physical activity in schools located within deprived areas of a multi-ethnic city. To confirm the results, future studies are required which adopt controlled designs combined with a holistic understanding of implementation determinants and underlying mechanisms.

Expanding the Focus of Occupational Safety and Health: Lessons from a Series of Linked Scientific Meetings

There is widespread recognition that the world of work is changing, and agreement is growing that the occupational safety and health (OSH) field must change to contribute to the protection of workers now and in the future. Discourse on the evolution of OSH has been active for many decades, but formalized support of an expanded focus for OSH has greatly increased over the past 20 years. Development of approaches such as the National Institute for Occupational Safety and Health (NIOSH)'s Total Worker Health® concept and the World Health Organization (WHO)'s Healthy Workplace Framework are concrete examples of how OSH can incorporate a new focus with a wider view. In 2019, NIOSH initiated a multi-year effort to explore an expanded focus for OSH. This paper is a report on the outputs of a three-year cooperative agreement between NIOSH and The University of Texas School of Public Health, which led to subject matter expert workshops in 2020 and an international conference of global interest groups in 2021. This article traces the background of these meetings and identifies and assesses the lessons learned. It also reviews ten thematic topics that emerged from the meetings: worker health inequalities; training new OSH professionals; future OSH research and practice; tools to measure well-being of workers; psychosocial hazards and adverse mental health effects; skilling, upskilling and improving job quality; socioeconomic influences; climate change; COVID-19 pandemic influences; and strategic foresight. Cross-cutting these themes is the need for systems and transdisciplinary thinking and operationalization of the concept of well-being to prepare the OSH field for the work of the future.

An Overview of Innovative Approaches to Support Timely and Agile Health Communication Research and Practice

Innovative approaches are needed to make health communication research and practice more timely, responsive, and effective in a rapidly changing information ecosystem. In this paper we provide an overview of strategies that can enhance the delivery and effectiveness of health communication campaigns and interventions, as well as research approaches that can generate useful data and insights for decisionmakers and campaign designers, thereby reducing the research-to-practice gap. The discussion focuses on the following approaches: digital segmentation and microtargeting, social media influencer campaigns, recommender systems, adaptive interventions, A/B testing, efficient message testing protocols, rapid cycle iterative message testing, megastudies, and agent-based modeling. For each method highlighted, we also outline important practical and ethical considerations for utilizing the approach in the context of health communication research and practice, including issues related to transparency, privacy, equity, and potential for harm.

Tensions and Paradoxes of Scaling Up: A Critical Reflection on Physical Activity Promotion

Achieving system-level, sustainable 'scale-up' of interventions is the epitome of successful translation of evidence-based approaches in population health. In physical activity promotion, few evidence-based interventions reach implementation at scale or become embedded within systems for sustainable health impact. This is despite the vast published literature describing efficacy studies of small-scale physical activity interventions. Research into physical activity scale-up (through case-study analysis; evaluations of scale-up processes in implementation trials; and mapping the processes, strategies, and principles for scale-up) has identified barriers and facilitators to intervention expansion. Many interventions are implemented at scale by governments but have not been evaluated or have unpublished evaluation information. Further, few public health interventions have evaluations that reveal the costs and benefits of scaled-up implementation. This lack of economic information introduces an additional element of risk for decision makers when deciding which physical activity interventions should be supported with scarce funding resources. Decision-makers face many other challenges when scaling interventions which do not relate to formal research trials of scale-up; Methods: To explore these issues, a multidisciplinary two-day workshop involving experts in physical activity scale-up was convened by the University of Newcastle, Australia, and the University of Ottawa, Canada (February 2019); Results: In this paper we discuss some of the scale-up tensions (challenges and conflicts) and paradoxes (things that are contrary to expectations) that emerged from this workshop in the context of the current literature and our own experiences in this field. We frame scale-up tensions according to epistemology, methodology, time, and partnerships; and paradoxes as 'reach without scale', 'planned serendipity' and 'simple complexity'. We reflect on the implications of these scale-up tensions and paradoxes, providing considerations for future scale-up research and practice moving forward; Conclusions: In this paper, we delve deeper into stakeholders' assumptions, processes and expectations of scaling up, and challenge in what ways as stakeholders, we all contribute to desired or undesired outcomes. Through a lens of 'tensions' and 'paradoxes', we make an original contribution to the scale-up literature that might influence current perspectives of scaling-up, provide future approaches for physical activity promotion, and contribute to understanding of dynamic of research-practice partnerships.