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

Social Determinants of Health Influencing the New Zealand COVID-19 Response and Recovery: A Scoping Review and Causal Loop Diagram

The Coronavirus pandemic of 2019–20 (COVID-19) affected multiple social determinants of health (SDH) across the globe, including in New Zealand, exacerbating health inequities. Understanding these system dynamics can support decision making for the pandemic response and recovery measures. This study combined a scoping review with a causal loop diagram to further understanding of the connections between SDH, pandemic measures, and both short- and long-term outcomes in New Zealand. The causal loop diagram showed the reinforcing nature of structural SDH, such as colonization and socio-economic influences, on health inequities. While balancing actions taken by government eliminated COVID-19, the diagram showed that existing structural SDH inequities could increase health inequities in the longer term, unless the opportunity is taken for socio-economic policies to be reset. Such policy resets would be difficult to implement, as they are at odds with the current socio-economic system. The causal loop diagram highlighted that SDH significantly influenced the dynamics of the COVID-19 impact and response, pointing to a need for purposeful systemic action to disrupt the reinforcing loops which increase health inequities over time. This will require strong systems leadership, and coordination between policy makers and implementation at local level.

Leveraging Systems Science to Promote the Implementation and Sustainability of Mental Health and Psychosocial Interventions in Low- and Middle-Income Countries

ABSTRACT

Advancements in global mental health implementation research have revealed promising strategies for improving access to evidence-based mental health care. These advancements have not translated, however, into a reduced prevalence of mental disorders. In this review we examine the relationships between determinants (i.e., barriers and facilitators) and outcomes of mental health services in low- and middle-income countries to identify opportunities for improving the population-level impact and sustainability of innovations in global mental health. We identified three key implementation and services outcomes that influenced the prevalence of mental disorders in the 56 included review articles: supply (access, implementation), demand (help seeking, utilization), and quality (effectiveness, quality of care) of mental health services. Determinants of these outcomes revealed seven themes: community stakeholder engagement; cultural relevance; stigma; human resource capacity; organization of services; governance, policy, and financing; and sociopolitical and community context. We developed a causal loop diagram to illustrate the relationships among these determinants and outcomes. The causal loop diagram revealed the central role of community stakeholder engagement in bridging implementation and patient outcomes, the importance of addressing stigma and social determinants of mental health, and the need to complement supply-side implementation strategies with approaches to equilibrate demand and improve the quality of services. Applying systems science methodologies to global mental health research presents an opportunity to examine the complex relationships among community and health system factors that influence implementation of evidence-based interventions in order to identify sustainable approaches to improve the population-level impact of mental health services in low- and middle-income countries.

Understanding obesity-related behaviors in youth from a systems dynamics perspective: The use of causal loop diagrams

This paper reports how we applied systems dynamics methods to gain insight into the complexity of obesity-related behaviors in youth, including diet, physical activity, sedentary behavior, and sleep, by integrating a literature review into causal loop diagrams (CLDs). Results showed that the CLDs consisted of multiple subsystems and three types of dynamics appeared, including (1) feedback loops, (2) connections between feedback loops and subsystems, and (3) mechanisms. We observed clear similarities in the dynamics for the four behaviors in that they relate to "traditional" subsystems, such as home and school environments, as well as to newly added subsystems, including macroeconomics, social welfare, and urban systems. The CLDs provided insights that can support the development of intervention strategies, including (1) the confirmation that a range of mechanisms cover and connect multiple levels and settings, meaning that there is no silver bullet to address obesity; (2) understanding of how interventions in one particular setting, such as school, might be influenced by the interactions with other settings, such as urban systems; and (3) a comprehensive view of (un)intended consequences. This way of framing the problem will assist moving towards public health interventions that respond to and operate in the complexity of the real world.

The compatibility of reductionistic and complexity approaches in a sociomedical innovation perspective

Medical technologies, e-health and personalised medicine are rapidly changing the healthcare landscape. Successful implementation depends on interactions between the technology, the actors and the context. More traditional reductionistic approaches aim to understand isolated factors and linear cause–effect relations and have difficulties in addressing inter-relatedness and interaction. Complexity theory offers a myriad of approaches that focus specifically on behaviour and mechanisms that emerge from interactions between involved actors and the environment. These approaches work from the assumption that change does not take place in isolation and that interaction and inter-relatedness are central concepts to study. However, developments are proceeding fast and along different lines. This can easily lead to confusion about differences and usefulness in clinical and healthcare research and practice. Next to this, reductionistic and complexity approaches have their own merits and much is to be gained from using both approaches complementary. To this end, we propose three lines in complexity research related to health innovation and discuss ways in which complexity approaches and reductionistic approaches can act compatibly and thereby strengthen research designs for developing, implementing and evaluating health innovations.

Applied systems thinking: unlocking theory, evidence and practice for health policy and systems research

While systems thinking has been generally acknowledged as important to the field of health policy and systems research (HPSR), it remains underutilized. In particular, systems thinking has been perceived as predominantly conceptual, with fewer applications of systems thinking documented. This commentary makes three key points, namely that (1) advances in applied systems thinking in HPSR have been hindered by an imprecision in terminology, conflating ‘[health] systems approaches’ with complex adaptive systems theory; (2) limited examples of applied systems thinking have been highlighted and recognized in research, but have not been fully and equally appreciated in policymaking and practice and (3) explicit use of theory, long-term research-policy collaborations and better documentation of evidence can increase the use and usefulness of applied systems thinking in HPSR. By addressing these matters, the potentials of systems thinking in HPSR can be truly unlocked.

How do you develop systems leadership in public health? Insights from a scoping study

OBJECTIVES

Systems leadership is widely acknowledged to be needed to address the many 'wicked issues' challenging public health systems. However, there is a lack of evidence on how to develop public health professionals into effective systems leaders. This study scoped the possibilities for developing the systems leadership capacity of public health specialists in England.

STUDY DESIGN

This was a mixed-methods qualitative scoping study design.

METHODS

The study involved three stages. In the first, a rapid literature review mapped key documents in three relevant areas: systems leadership theory and practice, the changing context of public health in the UK, and training and development for UK public health professionals. In the second, 29 stakeholders were consulted to understand the context and needs for systems leadership development in public health. A third phase involved stakeholders codesigning a potential development framework for the project commissioners.

RESULTS

Four main themes were identified: the nature and purpose of systems leadership; development needs and opportunities for public health specialists; the enabling environment; and wider contextual factors impacting public health.

CONCLUSIONS

Key principles of, and a framework for, a systems leadership development approach are identified, which could be applied to any public health system.

Role of systems science in preventing and controlling emerging infectious diseases: protocol for a scoping review

INTRODUCTION

In recent history, many new infectious diseases have affected humans for the first time or have appeared in previously unaffected areas of the world; these diseases are known as emerging infectious diseases (EIDs). Examples of EIDs include COVID-19, Middle East respiratory syndrome and Ebola virus disease. EIDs are known for their complexity. Multiple factors play a role in their spread, including increases in human population, conflicts, urbanisation, air travel, global trade and inequalities in wealth distribution and access to healthcare. In order to gain a better understanding of such complexity, we aim to explore the role of systems science, which allows us to view EIDs in the context of complex adaptive systems rather than simple causes and effects. The objectives of this scoping review are to explore and map the theoretical concepts and key characteristics of studies that use systems methods in controlling EIDs, to identify the gaps in knowledge and disseminate the results.

METHODS

We will follow the Joanna Briggs Institute guidance for this scoping review, comprising the following stages: formulating the research question and subquestions, scanning the literature for available data, selecting relevant publications, charting the data by two independent reviewers, aggregating the findings, reporting, summarising and disseminating the results. We will review peer-reviewed articles, preprints and grey literature available in all languages.

DISCUSSION

We intend that this scoping review will contribute to a better understanding of the use of systems methods to inform policymakers about how to prevent and control EIDs.

ETHICS AND DISSEMINATION

Research ethics approval is not required for a scoping review because it is based on reviewing and collecting data from publicly available sources. To disseminate the findings, results will be shared through academic publications, seminars and conferences.

An action-oriented framework for systems-based solutions aimed at childhood obesity prevention in US Latinx and Latin American populations

Childhood obesity in US Latinx and Latin American populations is a persistent, complex public health issue and, as such, requires solutions grounded on systems science theory and methods. In this paper, we introduce an action-oriented framework to design, implement, evaluate, and sustain whole-of-community systems changes for childhood obesity prevention in US Latinx and Latin American populations. Our framework covers six action steps: (1) foster multisectoral team; (2) map the system, its context, and drivers; (3) envision system-wide changes; (4) effect system-wide changes; (5) monitor, learn, and adapt; and (6) scale and sustain. We also propose 10 principles that put human and environmental rights and systems thinking at the center of these systems-based solutions. For each action step, we provide a list of concrete activities, methods, approaches, and examples that can be used to guide and inform the work needed to achieve the expected outputs. Finally, we discuss how a wider adoption of systems science for childhood obesity prevention among US Latinx and Latin American populations can be encouraged and sustained.

Together stronger: boundary work within an Australian systems-based prevention initiative

Complexity and systems science are increasingly used to devise interventions to address health and social problems. Boundaries are important in systems thinking, as they bring attention to the power dynamics that guide decision-making around the framing of a situation, and how it is subsequently tackled. Using complexity theory as an analytical frame, this qualitative exploratory study examined boundary interactions between local government and community health organizations during the operationalization of a systems-based initiative to prevent obesity and chronic diseases (Healthy Together Communities-HTCs) in Victoria, Australia. Across two HTC sites, data was generated through semi-structured interviews with 20 key informants, in mid-2015. Template analysis based on properties of complex systems was applied to the data. The dynamics of boundary work are explored using three case illustrations: alignment, boundary spanning and boundary permeability. Alignment was both a process and an outcome of boundary work, and occurred at strategic, operational and individual levels. Boundary spanning was an important mechanism to develop a unified collaborative approach, and ensure that mainstream initiatives reached disadvantaged groups. Finally, some boundaries exhibited different levels of permeability for local government and community health organizations. This influenced how each organization could contribute to HTC interventions in unique, yet complementary ways. The study of boundary work offers potential for understanding the mechanisms that contribute to the nonlinear behaviour of complex systems. The complementarity of partnering organizations, and boundary dynamics should be considered when designing and operationalizing multilevel, complex systems-informed prevention initiatives.

A qualitative model of the HIV care continuum in Vancouver, Canada

A team of health care stakeholders and researchers collaboratively developed a qualitative model and graphic representation of the continuum of HIV care in Vancouver to inform delivery of antiretroviral therapy and other HIV health services. The model describes the patient journey through the HIV care continuum, including states of infection, health services, and care decisions. We used a Unified Modelling Language (UML) activity diagram to capture patient and provider activities and to guide the construction of a UML state machine diagram. The state machine diagram captures model agent states in a formalism that facilitates the development of system dynamics or agent-based models. These quantitative models can be applied to optimizing the allocation of resources, and to evaluate potential strategies for improved patient care and system performance. The novel approach of combining UML diagrams we present provides a general method for modelling capacity ---management strategies within complex health systems.

A Unified Theoretical Framework of Learning Theories to Inform and Guide Public Health Continuing Medical Education Research and Practice

Continuing medical education (CME) emerged at the start of the 20th century as a means of maintaining clinical competence among health care practitioners. However, evidence indicates that CME is often poorly developed and inappropriately used. Consequently, there has been increasing interest in the literature in evaluating wider contexts at play in CME development and delivery. In this article, the authors present a unified theoretical framework, grounded in learning theories, to explore the role of contextual factors in public health CME for health care practitioners. Discussion with pedagogical experts together with a narrative review of learning theories within medical and social science literature informed the framework's development. The need to consider sociocultural theories of learning within medical education restricted suitable theories to those that recognized contexts beyond the individual learner; adopted a systems approach to evaluate interactions between contexts and learner; and considered learning as more than mere acquisition of knowledge. Through a process of rigorous critical analysis, two theoretical models emerged as contextually appropriate: Biggs principle of constructive alignment and Bronfenbrenner bioecological model of human development. Biggs principle offers theoretical clarity surrounding interactive factors that encourage lifelong learning, whereas the Bronfenbrenner model expands on these factor's roles across multiple system levels. The authors explore how unification into a single framework complements each model while elaborating on its fundamental and practical applications. The unified theoretical framework presented in this article addresses the limitations of isolated frameworks and allows for the exploration of the applicability of wider learning theories in CME research.

Using community engagement to implement evidence-based practices for opioid use disorder: A data-driven paradigm & systems science approach

Community-driven responses are essential to ensure the adoption, reach and sustainability of evidence-based practices (EBPs) to prevent new cases of opioid use disorder (OUD) and reduce fatal and non-fatal overdoses. Most organizational approaches for selecting and implementing EBPs remain top-down and individually oriented without community engagement (CE). Moreover, few CE approaches have leveraged systems science to integrate community resources, values and priorities. This paper provides a novel CE paradigm that utilizes a data-driven and systems science approach; describes the composition, functions, and roles of researchers in CE; discusses unique ethical considerations that are particularly salient to CE research; and provides a description of how systems science and data-driven approaches to CE may be employed to select a range of EBPs that collectively address community needs. Finally, we conclude with scientific recommendations for the use of CE in research. Greater investment in CE research is needed to ensure contextual, equitable, and sustainable access to EBPs, such as medications for OUD (MOUD) in communities heavily impacted by the opioid epidemic. A data-driven approach to CE research guided by systems science has the potential to ensure adequate saturation and sustainability of EBPs that could significantly reduce opioid overdose and health inequities across the US.

A systems approach to assessing complexity in health interventions: an effectiveness decay model for integrated community case management

Complexity is inherent to any system or program. This is especially true of integrated interventions, such as integrated community case management (iCCM). iCCM is a child health strategy designed to provide services through community health workers (CHWs) within hard-to-reach areas of low-and-middle-income countries (LMICs). It is comprised of many interlinked program components, processes and stakeholders. Elucidating the complexity of such programs is essential to designing interventions that respond to local contexts and successfully plan for sustainable integration. A pragmatic approach has yet to be developed that holistically assesses the many dimensions of iCCM or other integrated programs, their alignment with local systems, and how well they provide effective care. We propose an accessible systems approach to both measuring systems effectiveness and assessing its underlying complexity using a combination of systems thinking tools. We propose an effectiveness decay model for iCCM implementation to measure where patient loss occurs along the trajectory of care. The approach uses process mapping to examine critical bottlenecks of iCCM processes, their influence on effectiveness decay, and their integration into local systems; regression analysis and structural equation modeling to determine effects of key indicators on programmatic outcomes; and qualitative analysis with causal loop diagramming to assess stakeholder dynamics and their interactions within the iCCM program. An accurate assessment of the quality, effectiveness, and strength of community-based interventions relies on more than measuring core indicators and program outcomes; it requires an exploration of how its actors and core components interact as part of a system. Our approach produces an interactive iCCM effectiveness decay model to understand patient loss in context, examines key systems issues, and uses a range of systems thinking tools to assess the dynamic interactions that coalesce to produce observed program outcomes.

Strengthening breast surgery workforce capacity: implementation of competency-based training programme

BACKGROUND AND RATIONALE

Quality education is a prerequisite for building a sustainable health system. To address this requirement, it is necessary to strengthen capacity and expand the training opportunities to ensure equitable and efficient development of core professional competencies for specific contexts and educational needs.

METHODS AND RESULTS

A competency-based training programme for Breast Surgeons was built and was applied based on the Consolidated Framework for Implementation Research (CFIR). This framework provides a pragmatic structure for approaching complex interactions, multi-level and transient constructs in the real world. CFIR guided the implementation process and verified what works, where and why across each step. CFIR guided implementation was through an adaptable approach of the domains and creating relevant constructs that set up an ideal roadmap to analyse and improve learning needs, the curriculum design and the learning environment.

CONCLUSION

The outcomes described in this manuscript demonstrate that evidence-based principles can be implemented in health professionals' training and clinical practice even in resource-constrained settings. Building strong and sustainable healthcare workforce capacity is an urgent need for improved health service delivery and addresses real-life workplace needs in low-middle income countries. This programme integrates training with service to solve problems and develop initiatives to address existing local health priorities. While the article focuses on a training programme development, findings are shared to promote dissemination into other settings.

Protocol for an interdisciplinary cross-sectional study investigating the social, biological and community-level drivers of antimicrobial resistance (AMR): Holistic Approach to Unravel Antibacterial Resistance in East Africa (HATUA)

INTRODUCTION

Antimicrobial resistance (AMR) is a global health threat that requires urgent research using a multidisciplinary approach. The biological drivers of AMR are well understood, but factors related to treatment seeking and the social contexts of antibiotic (AB) use behaviours are less understood. Here we describe the Holistic Approach to Unravel Antibacterial Resistance in East Africa, a multicentre consortium that investigates the diverse drivers of drug resistance in urinary tract infections (UTIs) in East Africa.

METHODS AND ANALYSIS

This study will take place in Uganda, Kenya and Tanzania. We will conduct geospatial mapping of AB sellers, and conduct mystery client studies and in-depth interviews (IDIs) with drug sellers to investigate AB provision practices. In parallel, we will conduct IDIs with doctors, alongside community focus groups. Clinically diagnosed patients with UTI will be recruited from healthcare centres, provide urine samples and complete a questionnaire capturing retrospective treatment pathways, sociodemographic characteristics, attitudes and knowledge. Bacterial isolates from urine and stool samples will be subject to culture and antibiotic sensitivity testing. Genomic DNA from bacterial isolates will be extracted with a subset being sequenced. A follow-up household interview will be conducted with 1800 UTI-positive patients, where further environmental samples will be collected. A subsample of patients will be interviewed using qualitative tools. Questionnaire data, microbiological analysis and qualitative data will be linked at the individual level. Quantitative data will be analysed using statistical modelling, including Bayesian network analysis, and all forms of qualitative data analysed through iterative thematic content analysis.

ETHICS AND DISSEMINATION

Approvals have been obtained from all national and local ethical review bodies in East Africa and the UK. Results will be disseminated in communities, with local and global policy stakeholders, and in academic circles. They will have great potential to inform policy, improve clinical practice and build regional pathogen surveillance capacity.

Evaluation of public health interventions from a complex systems perspective: A research methods review

INTRODUCTION

Applying a complex systems perspective to public health evaluation may increase the relevance and strength of evidence to improve health and reduce health inequalities. In this review of methods, we aimed to: (i) classify and describe different complex systems methods in evaluation applied to public health; and (ii) examine the kinds of evaluative evidence generated by these different methods.

METHODS

We adapted critical review methods to identify evaluations of public health interventions that used systems methods. We conducted expert consultation, searched electronic databases (Scopus, MEDLINE, Web of Science), and followed citations of relevant systematic reviews. Evaluations were included if they self-identified as using systems- or complexity-informed methods and if they evaluated existing or hypothetical public health interventions. Case studies were selected to illustrate different types of complex systems evaluation.

FINDINGS

Seventy-four unique studies met our inclusion criteria. A framework was developed to map the included studies onto different stages of the evaluation process, which parallels the planning, delivery, assessment, and further delivery phases of the interventions they seek to inform; these stages include: 1) theorising; 2) prediction (simulation); 3) process evaluation; 4) impact evaluation; and 5) further prediction (simulation). Within this framework, we broadly categorised methodological approaches as mapping, modelling, network analysis and 'system framing' (the application of a complex systems perspective to a range of study designs). Studies frequently applied more than one type of systems method.

CONCLUSIONS

A range of complex systems methods can be utilised, adapted, or combined to produce different types of evaluative evidence. Further methodological innovation in systems evaluation may generate stronger evidence to improve health and reduce health inequalities in our complex world.

Modelling faecal pathogen flows and health risks in urban Bangladesh: Implications for sanitation decision making

Faecal-oral infections are a major component of the disease burden in low-income contexts, with inadequate sanitation seen as a contributing factor. However, demonstrating health effects of sanitation interventions - particularly in urban areas - has proved challenging and there is limited empirical evidence to support sanitation decisions that maximise health gains. This study aimed to develop, apply and validate a systems modelling approach to inform sanitation infrastructure and service decision-making in urban environments by examining enteric pathogen inputs, transport and reduction by various sanitation systems, and estimating corresponding exposure and public health impacts. The health effects of eight sanitation options were assessed in a low-income area in Dhaka, Bangladesh, with a focus on five target pathogens (Shigella, Vibrio cholerae, Salmonella Typhi, norovirus GII and Giardia). Relative to the sanitation base case in the study site (24% septic tanks, 5% holding tanks and 71% toilets discharging directly to open drains), comprehensive coverage of septic tanks was estimated to reduce the disease burden in disability-adjusted life years (DALYs) by 48-72%, while complete coverage of communal scale anaerobic baffled reactors was estimated to reduce DALYs by 67-81%. Despite these improvements, a concerning health risk persists with these systems as a result of effluent discharge to open drains, particularly when the systems are poorly managed. Other sanitation options, including use of constructed wetlands and small bore sewerage, demonstrated further reductions in local health risk, though several still exported pathogens into neighbouring areas, simply transferring risk to downstream communities. The study revealed sensitivity to and a requirement for further evidence on log reduction values for different sanitation systems under varying performance conditions, pathogen flows under flooding conditions as well as pathogen shedding and human exposure in typical low-income urban settings. Notwithstanding variability and uncertainties in input parameters, systems modelling can be a feasible and customisable approach to consider the relative health impact of different sanitation options across various contexts, and stands as a valuable tool to guide urban sanitation decision-making.

Building a Prevention System: Infrastructure to Strengthen Health Promotion Outcomes

Prevention systems improve the performance of health promotion interventions. This research describes the establishment of the Australian state government initiative, Healthy Together Victoria's (HTV) macro infrastructure for the delivery of large-scale prevention interventions.

METHODS

This paper reports on findings of 31 semi-structured interviews about participants' understanding of systems thinking and their reflections of the strengths and weaknesses of the HTV prevention system. A chronic disease prevention framework informed the coding that was used to create a causal loop diagram and a core feedback loop to illustrate the results.

RESULTS

Findings highlighted that HTV created a highly connected prevention system that included a sizeable workforce, significant funding and supportive leadership. Operating guidelines, additional professional development and real-time evaluation were significant gaps, which hindered systems practice. For inexperienced systems thinkers, these limitations encouraged them to implement programs, rather than interact with the seemingly ambiguous systems methods.

CONCLUSIONS

HTV was an innovative attempt to strengthen health promotion infrastructure, creating a common language and shared understanding of prevention system requirements. However, the model was inadequate for HTV to achieve population-level reductions in chronic disease as system oversight was missing, as was an intervention delivery focus. Clarity was needed to define the systems practice that HTV was seeking to achieve. Importantly, the HTV prevention system needed to be understood as complex and adaptive, and not prioritized as individual parts.

A federated EHR network data completeness tracking system

OBJECTIVE

The study sought to design, pilot, and evaluate a federated data completeness tracking system (CTX) for assessing completeness in research data extracted from electronic health record data across the Accessible Research Commons for Health (ARCH) Clinical Data Research Network.

MATERIALS AND METHODS

The CTX applies a systems-based approach to design workflow and technology for assessing completeness across distributed electronic health record data repositories participating in a queryable, federated network. The CTX invokes 2 positive feedback loops that utilize open source tools (DQe-c and Vue) to integrate technology and human actors in a system geared for increasing capacity and taking action. A pilot implementation of the system involved 6 ARCH partner sites between January 2017 and May 2018.

RESULTS

The ARCH CTX has enabled the network to monitor and, if needed, adjust its data management processes to maintain complete datasets for secondary use. The system allows the network and its partner sites to profile data completeness both at the network and partner site levels. Interactive visualizations presenting the current state of completeness in the context of the entire network as well as changes in completeness across time were valued among the CTX user base.

DISCUSSION

Distributed clinical data networks are complex systems. Top-down approaches that solely rely on technology to report data completeness may be necessary but not sufficient for improving completeness (and quality) of data in large-scale clinical data networks. Improving and maintaining complete (high-quality) data in such complex environments entails sociotechnical systems that exploit technology and empower human actors to engage in the process of high-quality data curating.

CONCLUSIONS

The CTX has increased the network's capacity to rapidly identify data completeness issues and empowered ARCH partner sites to get involved in improving the completeness of respective data in their repositories.

People with Disabilities and Other Forms of Vulnerability to the COVID-19 Pandemic: Study Protocol for a Scoping Review and Thematic Analysis

OBJECTIVES

To develop a protocol for a scoping review mapping as well as thematically analyzing the literature on the effect of, and responses to, the coronavirus disease 2019 (COVID-19) pandemic, focused on people with disabilities with other layers of individual vulnerability or social disadvantage.

METHODS

We will search scientific databases (Medline/PubMed, Web of Science, Scopus, AgeLine, PsycINFO, CINAHL, ERIC) and preprint servers (MedRxiv, SocArXiv, PsyArXiv). Google searches, snowballing, and key-informant strategies were also used, including a focus on the gray literature (eg, official reports). Peer-reviewed and preprint publications will be covered in 6 languages, and the gray literature in English. Publications will be included if they address individuals with disabilities; the COVID-19 pandemic or subsequent socioeconomic or occupational effects; and individual or social vulnerabilities, including any form of discrimination, marginalization, or social disadvantage. Two independent reviewers will perform eligibility decisions and key data extractions. Beyond mapping the literature, the results will thematically analyze any disproportionate risks people with disabilities and other forms of vulnerability experience in terms of being infected by COVID-19, having severe health consequences, and facing negative socioeconomic effects. Actions taken or recommended to reduce identified inequalities will also be synthesized. Our entire research team, with diverse backgrounds, will be involved in the synthesis.

CONCLUSIONS

This review, which we plan to expedite, aims to inform policy makers, health authorities, disability advocates, and other stakeholders regarding the needs and ways to promote equity and disability-inclusive responses to the COVID-19 pandemic and the resultant socioeconomic shockwaves.

Learning across the UK: a review of public health systems and policy approaches to early child development since political devolution

BACKGROUND

Giving children the best start in life is critical for their future health and wellbeing. Political devolution in the UK provides a natural experiment to explore how public health systems contribute to children's early developmental outcomes across four countries.

METHOD

A systematic literature review and input from a stakeholder group was used to develop a public health systems framework. This framework then informed analysis of public health policy approaches to early child development.

RESULTS

A total of 118 studies met the inclusion criteria. All national policies championed a 'prevention approach' to early child development. Political factors shaped divergence, with variation in national conceptualizations of child development ('preparing for life' versus 'preparing for school') and pre-school provision ('universal entitlement' or 'earned benefit'). Poverty and resourcing were identified as key system factors that influenced outcomes. Scotland and Wales have enacted distinctive legislation focusing on wider determinants. However, this is limited by the extent of devolved powers.

CONCLUSION

The systems framework clarifies policy complexity relating to early child development. The divergence of child development policies in the four countries and, particularly, the explicit recognition in Scottish and Welsh policy of wider determinants, creates scope for this topic to be a tracer area to compare UK public health systems longer term.

Systems leadership in practice: thematic insights from three public health case studies

BACKGROUND

'Systems leadership' has emerged as a key concept in global public health alongside such related concepts as 'systems thinking' and 'whole systems approaches.' It is an approach that is well suited to issues that require collective action, where no single organisation can control the outcomes. While there is a growing literature on the theory of systems leadership in a number of fields, there remains a lack of published empirical studies of public health systems leadership for professionals to learn from. The aim of the current project was to conduct cases studies in UK public health to provide empirical evidence on the nature of effective systems leadership practice.

METHODS

Three system leadership case studies were identified in the key domains of public health: health protection, healthcare public health and health improvement. A total of 27 semi-structured interviews were conducted. Data were thematically analysed to identify the components of effective systems leadership in each case and its impact.

RESULTS

The thematic analysis identified themes around 'getting started,' 'maintaining momentum' and 'indicators of success' in systems leadership. In terms of getting started, the analysis showed that both a compelling 'call to action' and assembling an effective 'coalition of the willing' are important. To maintain momentum, the analysis identified themes relating to system structure, culture and the people involved. Regarding culture, the main themes that emerged were the importance of nurturing strong relationships, curiosity and a desire to understand the system, and promoting resilience. The analysis identified three components that could be used as indicators of success; these were a sense of enjoyment from the work, resource gains to the system and shifts in data indicators at the population level.

CONCLUSIONS

This study has provided insight into the nature of systems leadership in public health settings in the UK. It has identified factors that contribute to effective public health systems leadership and offers a thematic model in terms of establishing a systems leadership approach, maintaining momentum and identifying key success indicators.

Applying systems thinking to knowledge mobilisation in public health

CONTEXT

Knowledge mobilisation (KM) is a vital strategy in efforts to improve public health policy and practice. Linear models describing knowledge transfer and translation have moved towards multi-directional and complexity-attuned approaches where knowledge is produced and becomes meaningful through social processes. There are calls for systems approaches to KM but little guidance on how this can be operationalised. This paper describes the contribution that systems thinking can make to KM and provides guidance about how to put it into action.

METHODS

We apply a model of systems thinking (which focuses on leveraging change in complex systems) to eight KM practices empirically identified by others. We describe how these models interact and draw out some key learnings for applying systems thinking practically to KM in public health policy and practice. Examples of empirical studies, tools and targeted strategies are provided.

FINDINGS

Systems thinking can enhance and fundamentally transform KM. It upholds a pluralistic view of knowledge as informed by multiple parts of the system and reconstituted through use. Mobilisation is conceived as a situated, non-prescriptive and potentially destabilising practice, no longer conceptualised as a discrete piece of work within wider efforts to strengthen public health but as integral to and in continual dialogue with those efforts. A systems approach to KM relies on contextual understanding, collaborative practices, addressing power imbalances and adaptive learning that responds to changing interactions between mobilisation activities and context.

CONCLUSION

Systems thinking offers valuable perspectives, tools and strategies to better understand complex problems in their settings and for strengthening KM practice. We make four suggestions for further developing empirical evidence and debate about how systems thinking can enhance our capacity to mobilise knowledge for solving complex problems - (1) be specific about what is meant by 'systems thinking', (2) describe counterfactual KM scenarios so the added value of systems thinking is clearer, (3) widen conceptualisations of impact when evaluating KM, and (4) use methods that can track how and where knowledge is mobilised in complex systems.

A 'new normal' following COVID-19 and the economic crisis: Using systems thinking to identify challenges and opportunities in disability, telework, and rehabilitation

BACKGROUND

The novel coronavirus (COVID-19) that emerged in late 2019, and later become a global pandemic, has unleashed an almost unprecedented global public health and economic crisis.

OBJECTIVE

In this perspective, we examine the effects of COVID-19 and identify a likely 'new normal' in terms of challenges and opportunities within the fields of disability, telework, and rehabilitation.

METHODS

We use a systems thinking lens informed by recent empirical evidence and peer-reviewed qualitative accounts regarding the pandemic to identify emerging challenges, and pinpoint opportunities related to health and changing employment infrastructure of people with disabilities and rehabilitation professionals.

RESULTS

From our interpretation, the key leverage points or opportunities include: (1) developing disability-inclusive public health responses and emergency preparedness; (2) enabling employment and telework opportunities for people with disabilities; (3) addressing the new requirements in rehabilitation service provision, including participating as essential team members in the care of people with infectious diseases such as COVID-19; (4) embracing the added emphasis on, and capacity for, telehealth; and (5) developing greater resilience, distance learning, and employability among the rehabilitation workforce.

CONCLUSIONS

The COVID-19 pandemic has become increasingly challenging to the lives of people with disabilities and rehabilitation professionals; however, key challenges can be minimized and opportunities can be capitalized upon in order to 'build back better' after COVID-19.

Qualitative process evaluation from a complex systems perspective: A systematic review and framework for public health evaluators

BACKGROUND

Public health evaluation methods have been criticized for being overly reductionist and failing to generate suitable evidence for public health decision-making. A "complex systems approach" has been advocated to account for real world complexity. Qualitative methods may be well suited to understanding change in complex social environments, but guidance on applying a complex systems approach to inform qualitative research remains limited and underdeveloped. This systematic review aims to analyze published examples of process evaluations that utilize qualitative methods that involve a complex systems perspective and proposes a framework for qualitative complex system process evaluations.

METHODS AND FINDINGS

We conducted a systematic search to identify complex system process evaluations that involve qualitative methods by searching electronic databases from January 1, 2014-September 30, 2019 (Scopus, MEDLINE, Web of Science), citation searching, and expert consultations. Process evaluations were included if they self-identified as taking a systems- or complexity-oriented approach, integrated qualitative methods, reported empirical findings, and evaluated public health interventions. Two reviewers independently assessed each study to identify concepts associated with the systems thinking and complexity science traditions. Twenty-one unique studies were identified evaluating a wide range of public health interventions in, for example, urban planning, sexual health, violence prevention, substance use, and community transformation. Evaluations were conducted in settings such as schools, workplaces, and neighborhoods in 13 different countries (9 high-income and 4 middle-income). All reported some utilization of complex systems concepts in the analysis of qualitative data. In 14 evaluations, the consideration of complex systems influenced intervention design, evaluation planning, or fieldwork. The identified studies used systems concepts to depict and describe a system at one point in time. Only 4 evaluations explicitly utilized a range of complexity concepts to assess changes within the system resulting from, or co-occurring with, intervention implementation over time. Limitations to our approach are including only English-language papers, reliance on study authors reporting their utilization of complex systems concepts, and subjective judgment from the reviewers relating to which concepts featured in each study.

CONCLUSION

This study found no consensus on what bringing a complex systems perspective to public health process evaluations with qualitative methods looks like in practice and that many studies of this nature describe static systems at a single time point. We suggest future studies use a 2-phase framework for qualitative process evaluations that seek to assess changes over time from a complex systems perspective. The first phase involves producing a description of the system and identifying hypotheses about how the system may change in response to the intervention. The second phase involves following the pathway of emergent findings in an adaptive evaluation approach.

Applying systems thinking and human-centered design to development of intervention implementation strategies: An example from adolescent health research

Introducing innovative health interventions into clinic settings requires a comprehensive and creative approach to multiple implementation challenges. To optimize implementation of a sexual and reproductive health intervention for young women with depression, we applied systems thinking and human-centered design thinking methods to develop tools and strategies to address issues influencing intervention implementation in diverse clinics. We recruited staff from three clinics that provide sexual and reproductive health and behavioral health care to young women. Across five sessions (four video conference calls, one in-person workshop), we used systems mapping to identify key stakeholders and their relationships, processes, and challenges to care; formed clinic staff-investigator design teams; brainstormed about challenges that would influence intervention implementation and considered potential solutions; prioritized implementation challenges; and designed prototypes of solutions. Participants responded positively to the systems thinking perspective and collaborative design thinking process. Findings included generalizable considerations about solving implementation challenges for clinic-based interventions, such as forming a team of champions representing the diverse disciplines involved in and impacted by intervention implementation, and creating multiple tools and strategies for implementation that can be tailored to a given clinic’s culture.

COVID-19 and routine childhood immunization in Africa: Leveraging systems thinking and implementation science to improve immunization system performance

One of the routine health services that is being disrupted by coronavirus disease 2019 (COVID-19) in Africa is childhood immunization. This is because the immunization system relies on functioning health facilities and stable communities to be effective. Its disruption increases the risk of epidemics of vaccine-preventable diseases, which could increase child mortality. Therefore, policymakers must quickly identify robust and context-specific strategies to rapidly scale-up routine immunization in order to mitigate the impact of COVID-19 on their national immunization performance. To achieve this, we propose a paradigm shift towards systems thinking and use of implementation science in immunization decision-making. Systems thinking can inform a more nuanced and holistic understanding of the interrelationship between COVID-19, its control strategies, and childhood immunization. Tools like causal loop diagrams can be used to explicitly illustrate the systems structure by identifying feedback loops. Once mapped and leverage points for interventions have been identified, implementation science can be used to guide the rapid uptake and utilization of multifaceted evidence-based innovations in complex practice settings. As Africa re-strategizes for the post-2020 era, these emerging fields could contribute significantly in accelerating progress towards universal access to vaccines for all children on the continent despite COVID-19.

The use of future scenario thinking for child public health in a local authority

BACKGROUND

Socioeconomic, cultural, technological, environment and ecological changes are rapidly transforming how children and young people (CYP) grow up, yet their impacts on CYP are difficult to predict. The traditional ways that Public Health practitioners work may not capture such complex and dynamic change. To address this, Lambeth Council used future scenario thinking.

METHODS

A literature review looked at political, socioeconomic and other 'transitions' in the borough. Interviews, focus groups and workshops were held with CYP, parents, carers, local statutory and non-statutory stakeholders about the future for Lambeth CYP in the decade ahead. Themes were analysed to identify which had the potential for the biggest impact or the most uncertainty.

RESULTS

The main transitions were described, 100 stakeholders interviewed, and five 'drivers' of the future were identified: protracted austerity, technological explosion, demographic shift, 'democratic shake-up' and planetary health. From all these data, four future scenarios were developed: 'communities care for themselves', 'collaborating to care for all', 'nobody cares' and 'who cares?'

CONCLUSIONS

New insights were gained about promoting more responsibility for, and active participation of CYP. This led to Lambeth's CYP Plan and the 'Made in Lambeth' campaign aiming to enlist the community and business in creating a child-friendly borough.

A System Dynamics and Participatory Action Research Approach to Promote Healthy Living and a Healthy Weight among 10-14-Year-Old Adolescents in Amsterdam: The LIKE Programme

This paper describes the design of the LIKE programme, which aims to tackle the complex problem of childhood overweight and obesity in 10–14-year-old adolescents using a systems dynamics and participatory approach. The LIKE programme focuses on the transition period from 10-years-old to teenager and was implemented in collaboration with the Amsterdam Healthy Weight Programme (AHWP) in Amsterdam-East, the Netherlands. The aim is to develop, implement and evaluate an integrated action programme at the levels of family, school, neighbourhood, health care and city. Following the principles of Participatory Action Research (PAR), we worked with our population and societal stakeholders as co-creators. Applying a system lens, we first obtained a dynamic picture of the pre-existing systems that shape adolescents’ behaviour relating to diet, physical activity, sleep and screen use. The subsequent action programme development was dynamic and adaptive, including quick actions focusing on system elements (quick evaluating, adapting and possibly catalysing further action) and more long-term actions focusing on system goals and/or paradigm change. The programme is supported by a developmental systems evaluation and the Intervention Level Framework, supplemented with routinely collected data on weight status and health behaviour change over a period of five years. In the coming years, we will report how this approach has worked to provide a robust understanding of the programme’s effectiveness within a complex dynamic system. In the meantime, we hope our study design serves as a source of inspiration for other public health intervention studies in complex systems.

Systematic Review of Dietary Patterns and Sustainability in the United States

Improving awareness and accessibility of healthy diets are key challenges for health professionals and policymakers alike. While the US government has been assessing and encouraging nutritious diets via the Dietary Guidelines for Americans (DGA) since 1980, the long-term sustainability, and thus availability, of those diets has received less attention. The 2015 Dietary Guidelines Advisory Committee (DGAC) examined the evidence on sustainable diets for the first time, but this topic was not included within the scope of work for the 2020 DGAC. The objective of this study was to systematically review the evidence on US dietary patterns and sustainability outcomes published from 2015 to 2019 replicating the 2015 DGAC methodology. The 22 studies meeting inclusion criteria reveal a rapid expansion of research on US dietary patterns and sustainability, including 8 studies comparing the sustainability of DGA-compliant dietary patterns with current US diets. Our results challenge prior findings that diets adhering to national dietary guidelines are more sustainable than current average diets and indicate that the Healthy US-style dietary pattern recommended by the DGA may lead to similar or increased greenhouse gas emissions, energy use, and water use compared with the current US diet. However, consistent with previous research, studies meeting inclusion criteria generally support the conclusion that, among healthy dietary patterns, those higher in plant-based foods and lower in animal-based foods would be beneficial for environmental sustainability. Additional research is needed to further evaluate ways to improve food system sustainability through both dietary shifts and agricultural practices in the United States.

Applied systems thinking: a viable approach to identify leverage points for accelerating progress towards ending neglected tropical diseases

BACKGROUND

Systems thinking is a conceptual approach that can assist stakeholders in understanding complexity and making progress on persistent public health challenges. Neglected tropical diseases (NTDs), a complex global health problem, are responsible for a large disease burden among impoverished populations around the world. This aim of this study was to better discern the many complexities of the global NTD system in order to identify and act on leverage points to catalyse progress towards ending NTDs.

METHODS

Existing frameworks for systems change were adapted to form the conceptual framework for the study. Using a semi-structured interview guide, key informant interviews were conducted with NTD stakeholders at the global level and at the country level in Nigeria. The interview data were coded and analysed to create causal loop diagrams that resulted in a qualitative model of the global NTD system.

RESULTS

The complete qualitative model is discussed and presented visually as six separate sub-components that highlight key forces and feedback loops within the global NTD system.

CONCLUSIONS

We identified five leverage points for NTD system change, namely (1) clarify the potential for and assess realistic progress towards NTD elimination, (2) increase support for interventions besides drug delivery, (3) reduce dependency on international donors, (4) create a less insular culture within the global NTD community, and (5) systemically address the issue of health worker incentives. The specific findings for NTDs raise a number of uncomfortable questions that have not been addressed, at least in part, because it is easier to continue focusing on 'quick win' solutions. The study provides a model of a systems thinking approach that can be applied to other complex global health and development challenges in order to understand complexity and identify leverage points for system change.

Traumatic Brain Injury in Myanmar: Preliminary Results and Development of an Adjunct Electronic Medical Record

BACKGROUND

The treatment of traumatic brain injury (TBI) in Myanmar is a major health issue. Comprehensive appreciation of the pathology is limited given the lack of granular metadata available. In this proof-of-concept study, we analyzed demographic data on TBI generated from a novel, prospective, online database in a lower-middle income country.

METHODS

Neurosurgery residents were given an electronic tablet for data entry into an online database. Metadata-driven data capture was carried out prospectively by trained residents, and the information was reviewed weekly by the supervising team in the United States.

RESULTS

Complete data were available on 242/253 (96%) patients. Age at admission was 37 years (range 16-85), and length of stay was 3.53 days (1-21). Etiologies included motorcycle accidents, falls, assaults, pedestrian vehicular injuries, and industrial accidents. Dispositions were primarily to home (211). Average Glasgow Coma Scale score at admission was 12.97. There was a 68% mortality rate of patients directly admitted to the North Okkalappa General and Teaching Hospital with a Glasgow Coma Scale score <8 versus 75% for patients transferred in from other facilities. Surgery was performed on 30 patients (12.4%).

CONCLUSIONS

Despite a lack of formal training in electronic medical records or research, the resident team was able to capture the majority of admissions with granular-level data. This helped shed light on the etiology and severity of TBI in Myanmar. As a result, more effective transport systems and access to trauma care must be achieved. Accessible regional trauma centers with investment in intensive care units, operative care, anesthesia, and imaging resources are necessary.

A Systems Thinking Approach to Inform Coherent Policy Action for NCD Prevention Comment on "How Neoliberalism Is Shaping the Supply of Unhealthy Commodities and What This Means for NCD Prevention"

Lencucha and Thow tackle the enormous public health challenge of developing non-communicable disease (NCD) policy coherence within a world structured and ruled by neoliberalism. Their work compliments scholarship on other causal mechanisms, including the commercial determinants of health, that have contributed to creating the risk commodity environment and barriers to NCD prevention policy coherence. However, there remain significant gaps in the understanding of how these causal mechanisms interact within a whole system. As such, public health researchers’ suggestions for how to effectively prevent NCDs through addressing the risk commodity environment tend to remain fragmented, incomplete and piecemeal. We suggest this is, in part, because conventional policy analysis methods tend to be reductionist, considering causal mechanisms in relative isolation and conceptualizing them as linear chains of cause and effect. This commentary discusses how a systems thinking approach offers methods that could help with better understanding the risk commodity environment problem, identifying a more comprehensive set of effective solutions across sectors and its utility more broadly for gaining insight into how to ensure recommended solutions are translated into policy, including though transformation at the paradigmatic level.

Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review

We conducted a systematic review of studies employing complex systems approaches (i.e., agent based and system dynamics models) to understand drivers of mental health and inform mental health policy. We extracted key data (e.g., purpose, design, data) for each study and provide a narrative synthesis of insights generated across studies. The studies investigated drivers and policy intervention strategies across a diversity of mental health outcomes. Based on these studies and the extant literature, we propose a typology of mental health research and policy areas that may benefit from complex systems approaches.

A System of Systems of Mental Health in Cities, Digging Deep into the Origins of Complexity

Mental health in urban environments is often treated from a healthcare provision perspective. Research in recent decades showed that mental illness in cities is a result of dysfunctional coordination between different city systems and structures. Given the nature of the city as a system of systems, this work builds through a participatory method, a general system dynamic model of factors that affect mental health in urban and regional environments. Through this method, we investigated the challenges of the application of such methodology to identify essential factors, feedback loops, and dependencies between systems to move forward in planning for mental health in cities. The outcome is a general model that showed the importance of factors that vary from individuals, families to communities and feedback loops that span multiple systems such as the city physical infrastructures, social environments, schools, labor market, and healthcare provision.

Chronic kidney disease of unknown etiology (CKDu): Using a system dynamics model to conceptualize the multiple environmental causative pathways of the epidemic

A chronic kidney disease of unknown etiology is devastating agricultural communities of Sri Lanka, Central America, areas of India, and Egypt. Researchers are yet to agree on its etio-pathogenesis despite many cross-sectional, case-control and cohort studies done in these countries. These approaches are broadly based on a reductionist approach. We propose a complementary paradigm based on complexity science to deepen our understanding of the disease. Complexity science views a population as system that has several dynamically interacting and inter-dependent sub-systems and is 'open' to the 'outer' environment. Health outcomes or epidemics are viewed as 'emergent' properties of the population. Using available literature from Sri Lanka, the paper presents a system dynamics model incorporating exposures from pesticides and heavy metals, drinking hard water with high levels of fluoride, poverty, low birth weight, micronutrient deficiencies and heat stress. This approach can be used to model the epidemic, understand the impacts of different factors, predict potential populations at risk, and formulate multi-pronged prevention strategies that target leverage points of the system.

Introduction to the Theme Issue on Dynamics of Health Behavior: Revisiting Systems Science for Population Health

Systems science can help public health professionals to better understand the complex dynamics between factors affecting health behaviors and outcomes and to identify intervention opportunities. Despite their demonstrated utility in addressing health topics such influenza, tobacco control, and obesity, the associated methods continue to be underutilized by researchers and practitioners addressing health behaviors. This article discusses the growth of systems science methods (e.g., system dynamics, social network analysis, and agent-based modeling) in health research, provides a frame for the articles included in this themed issue, and closes with recommendations for enhancing the future of systems science and health behavior research. We argue that integrating systems sciences methods into health behavior research and practice is essential for improved population health and look forward to supporting the evolution of the field.

Building a systems thinking prevention workforce

ISSUE ADDRESSED

Healthy Together Victoria (HTV) was a large-scale intervention that adopted a systems approach to prevention. It established the capability of an inexperienced workforce by cultivating their understanding of systems theories, tools and practice. This paper explores how this capacity was developed and what helped and hindered the process.

METHODS

This qualitative research included 31 primary semi-structured interviews that focused on participants' understanding of systems thinking. Deductive thematic analysis was undertaken. A workforce development framework informed the coding that was used to create a causal loop diagram.

RESULTS

The findings display the multiple influencers on capacity-building. Practice change was enabled with training-although it lacked coordination and participation was limited. Yet, the systems approach was strengthened with governance arrangements, policies, funding, team support and leadership that empowered practitioners to trial systems methods. Capacity-building was hindered by HTV's unspecified theory that made it harder for novice practitioners to grasp. Funding cuts due to political changes reduced the initiative's duration and prompted resignations, causing the newfound experience to exit the workforce.

CONCLUSION

Capacity-building for systems practice requires a holistic approach of simultaneous, complimentary actions that address the individual and environmental influences of workforce development, especially the drivers of organisational culture that facilitate new practice. SO WHAT?: Effective training methods should specifically teach skills and knowledge that help practitioners to implement systems thinking. The workforce development requirements of other contributors also need to be considered, in addition to the policies, opportunities and resources that embed practice change.

Teaching systems science to public health professionals

OBJECTIVES

Systems thinking aims to understand the overall behavior of a system by examining the interdependencies of parts of the system. The objective of this study is to increase awareness of systems thinking and systems modeling in public health research and practice.

STUDY DESIGN

A short course was offered to public health professionals using a combination of teaching modalities: didactic lectures, group discussions, hands-on programming, and experiential learning.

METHODS

Course participants completed surveys and provided feedback on the effectiveness of the course. A description of participant backgrounds, survey responses, and feedback were summarized.

RESULTS

Overall, participants offered quantitative and qualitative feedback suggesting that course content was useful and effective for incorporating systems thinking/modeling in their public health practice.

CONCLUSIONS

Systems thinking can be taught through formal modes of instruction to public health workers, but more research and case studies are needed to identify who should be taught and when and how such instruction should take place given competing priorities of public health workers.

What Can Policy-Makers Get Out of Systems Thinking? Policy Partners' Experiences of a Systems-Focused Research Collaboration in Preventive Health

BACKGROUND

There is increasing interest in using systems thinking to tackle 'wicked' policy problems in preventive health, but this can be challenging for policy-makers because the literature is amorphous and often highly theoretical. Little is known about how best to support health policy-makers to gain skills in understanding and applying systems thinking for policy action.

METHODS

In-depth interviews were conducted with 18 policy-makers who are participating in an Australian research collaboration that uses a systems approach. Our aim was to explore factors that support policy-makers to use systems approaches, and to identify any impacts of systems thinking on policy thinking or action, including the pathways through which these impacts occurred.

RESULTS

All 18 policy-makers agreed that systems thinking has merit but some questioned its practical policy utility. A small minority were confused about what systems thinking is or which approaches were being used in the collaboration. The majority were engaged with systems thinking and this group identified concrete impacts on their work. They reported using systems-focused research, ideas, tools and resources in policy work that were contributing to the development of practical methodologies for policy design, scaling up, implementation and evaluation; and to new prevention narratives. Importantly, systems thinking was helping some policy-makers to reconceptualise health problems and contexts, goals, potential policy solutions and methods. In short, they were changing how they think about preventive health.

CONCLUSION

These results show that researchers and policy-makers can put systems thinking into action as part of a research collaboration, and that this can result in discernible impacts on policy processes. In this case, action-oriented collaboration and capacity development over a 5-year period facilitated mutual learning and practical application. This indicates that policy-makers can get substantial applied value from systems thinking when they are involved in extended co-production processes that target policy impact and are supported by responsive capacity strategies.

Using Group Model Building to Describe the System Driving Unhealthy Eating and Identify Intervention Points: A Participatory, Stakeholder Engagement Approach in the Caribbean

Many Small Island Developing States of the Caribbean experience a triple burden of malnutrition with high rates of obesity, undernutrition in children, and iron deficiency anemia in women of reproductive age, driven by an inadequate, unhealthy diet. This study aimed to map the complex dynamic systems driving unhealthy eating and to identify potential points for intervention in three dissimilar countries. Stakeholders from across the food system in Jamaica (n = 16), St. Kitts and Nevis (n = 19), and St. Vincent and the Grenadines (n = 6) engaged with researchers in two group model building (GMB) workshops in 2018. Participants described and mapped the system driving unhealthy eating, identified points of intervention, and created a prioritized list of intervention strategies. Stakeholders were also interviewed before and after the workshops to provide their perspectives on the utility of this approach. Stakeholders described similar underlying systems driving unhealthy eating across the three countries, with a series of dominant feedback loops identified at multiple levels. Participants emphasized the importance of the relative availability and price of unhealthy foods, shifting cultural norms on eating, and aggressive advertising from the food industry as dominant drivers. They saw opportunities for governments to better regulate advertising, disincentivize unhealthy food options, and bolster the local agricultural sector to promote food sovereignty. They also identified the need for better coordinated policy making across multiple sectors at national and regional levels to deliver more integrated approaches to improving nutrition. GMB proved to be an effective tool for engaging a highly diverse group of stakeholders in better collective understanding of a complex problem and potential interventions.

Using a 'rich picture' to facilitate systems thinking in research coproduction

Background

In coproduction research, traditional ‘end-users’ are involved in the entire research process. The aim is to facilitate research translation by improving the timeliness and relevance of research. Because end-users often come from multiple sectors and hold diverse perspectives and priorities, involving them in coproduction can be challenging. Tools and approaches are needed to support coproduction teams to successfully navigate divergent viewpoints while producing rigorous but meaningful research outcomes. Rich pictures are a systems thinking tool to help make sense of complexity. In this paper, we describe how we developed and applied a ‘rich picture’ in a coproduction project with policy-level partners.

Methods

Guided by systems thinking principles, we conducted a systemic analysis of ethnographic fieldnotes collected as part of a broader study that examined the dynamics between an IT system and the implementation of the state-wide childhood obesity prevention programmes it was designed to monitor. Translating qualitative themes into metaphor and imagery, we created a visual depiction of the system to reflect the experience of the system’s users (health promotion practitioners) and facilitated a workshop with policy-level programme administrators (i.e. participants, n = 7). Our aim was to increase the transparency of the system for our research partners and to spark new insights to improve the quality of programme implementation.

Results

Guided by provocative questions, participants discussed and challenged each other’s thinking on the current functioning of the system. They identified future lines of inquiry to explore for quality improvement. Participants strongly agreed that the picture was a constructive way to engage with the ethnographic data but were challenged by the information and its implications. The opportunity for participants to co-learn from each other as well as from the picture was an added value.

Conclusion

In the context of the facilitated workshop, the rich picture enabled research partners to engage with complex research findings and gain new insights. Its value was harnessed via the guided participatory process. This demonstrates the importance that, in the future, such tools should be accompanied by practices that enable participants to think with and apply systems thinking concepts and principles.

Developing a Systems Mindset in Community-Based Prevention

Background. A systems mindset is the ability to see problems in their wider context and in terms of their underlying structure. This research describes how a systems mindset was understood and applied by prevention practitioners in a large-scale community-based initiative that employed a systems thinking approach. Method. This qualitative research included 31 primary semistructured interviews. Deductive thematic analysis was based on Braun and Clarke's analysis framework and was guided by Senge and Scharmer's knowledge-creating system. Results. The practitioners had been introduced to systems theory and were aware of complex problems and the need for equally sophisticated solutions. Their knowledge was not in-depth, although this may be adequate, as a theoretical overview seemed to be sufficient to support practice. A range of tools was available to practitioners to guide their systems mindset; however, none were preferred. Practitioners' awareness of the tools varied, as did their feelings toward them as some found them helpful and others did not. A narrower focus on tools could have benefited those who had not yet grasped systems theory. The use of projects within a systems approach confused some practitioners, yet others saw them as platforms to leverage change from. Implications for practice. With a systems mindset practitioners are able to develop systemic solutions to difficult problems. To do this, they require an overview of complex adaptive systems theory, an applied understanding of systems tools, and an experiential learning opportunity to shift their knowledge into practical know-how.

Complexity and Community Context: Learning from the Evaluation Design of a National Community Empowerment Programme

Community empowerment interventions, which aim to build greater individual and community control over health, are shaped by the community systems in which they are implemented. Drawing on complex systems thinking in public health research, this paper discusses the evaluation approach used for a UK community empowerment programme focused on disadvantaged neighbourhoods. It explores design choices and the tension between the overall enquiry questions, which were based on a programme theory of change, and the varied dynamic socio-cultural contexts in intervention communities. The paper concludes that the complexity of community systems needs to be accounted for through in-depth case studies that incorporate community perspectives.

A Systems Thinking Model to Support Long-Term Bearability of the Healthcare System: The Case of the Province of Quebec

This paper describes the modeling efforts devoted by the Ministry of Health and Social Services of Québec, Canada (MSSS), to ensure the long-term bearability of their care system. To this end, it studies the relationships between four entities that self-regulate and interact to form the complex care-providing system: (1) universities; (2) hospitals and doctors; (3) the ministry; and (4) society. The first phase of this research focuses on modeling such relationships and relies on the system dynamics methodology to adequately capture the long-term dynamics of the system. The methodology encompasses three phases: (a) determination of the critical variables and parameters of each entity; (b) development of the causal diagram of each entity; and (c) integration of the individual causal diagrams to form the global system diagram. The final casual model illustrates and explains the relationships between all the entities and constitutes an excellent tool to support experts during discussions or focus groups where critical variables that positively or negatively affect the system can be evaluated. We intend to enrich this casual model in a further phase of the project, which will hopefully lead to a simulation and scenario analysis tool that can be used to support managers in their long-term decision-making process.