Leadership for systems change: Researcher practices for enhancing research impact in the prevention of chronic disease.

Introduction: Strengthening systems for chronic disease prevention is essential. Leadership for systems change is an important key to strengthening systems. Leadership in prevention research for supporting systems change remains a relatively abstract concept and there is limited empirical information about the leadership practices of prevention research teams when viewed through a complexity lens. In this paper we examine and describe some systems leadership practices for creating change through prevention research, as identified in a series of six case studies. Methods: A qualitative approach incorporating semi-structured interviews, participant observation, and document review was used to facilitate an in-depth investigation of the research topic. Results: Several researcher practices for enhancing research impact in the prevention of chronic disease were distilled from the data pertaining to how they sought to create change. These included persuasive communication, compassion and deep listening, reflective practice, and embedding themselves within the systems they sought to change. Discussion: The findings provide insights that may assist prevention researchers and other practitioners dedicated to creating change in chronic disease prevention.

The Promise of Science, Knowledge Mobilization, and Rapid Learning Systems for COVID-19 Recovery.

The health, economic, and social crises created by the coronavirus disease 2019 (COVID-19) pandemic have been global in scope and inequitable in impact. The global road to recovery can be enhanced with robust, relevant, and timely scientific evidence. This commentary seeks to illustrate the power of science, scientific collaboration, and innovative research funding programs to inform pandemic recovery and inspire transformational changes for a more equitable, resilient, and sustainable future. Specifically, this commentary provides an introduction to the United Nations (UN) Research Roadmap for the COVID-19 Recovery that was published in November 2020. It introduces 5 scoping reviews that helped inform the UN Research Roadmap and that are now available open access within this series of special papers, and it provides an overview of an innovative research funding program that facilitated rapid mobilization and collaboration to produce the scoping reviews. The publication of the scoping reviews in this journal series will help complement and amplify the UN Research Roadmap by furthering knowledge mobilization efforts and informing COVID-19 recovery around the world, to ensure a more equitable, resilient, and sustainable postpandemic future.

Can We Build an Evidence Base on the Impact of Systems Thinking for Wicked Problems? Comment on "What Can Policy-Makers Get Out of Systems Thinking? Policy Partners' Experiences of a Systems-Focused Research Collaboration in Preventive Health".

The published literature on the application of systems thinking to influence policies and programs has grown in recent years. The original article by Haynes et al and the subsequent commentaries have focused on the upstream connection between capacity building for systems thinking and systems informed decision-making. This commentary explores the downstream connection between systems-informed decision-making and broader impacts on the health system, the health of the population and other economic and social benefits. Storytelling, systems-based syntheses and systems intervention principles are explored as approaches to strengthen the evidence base. For systems thinking to gain broader acceptance and application to complex health-related challenges, we need more of an evidence base demonstrating impact.

Developing co-funded multi-sectoral partnerships for chronic disease prevention: a qualitative inquiry into federal governmental public health staff experience.

BACKGROUND: Multi-sectoral partnerships (MSPs) are frequently cited as a means by which governments can improve population health while leveraging the resources and expertise of the private and non-profit sectors. As part of their efforts in this area, the Public Health Agency of Canada (the Agency) introduced a novel funding programme requiring applicants to procure matched resources from private sources to support large-scale interventions for chronic disease prevention. The current literature on MSPs is limited in its applicability to this model of multi-sectoral engagement. The purpose of this study was to explore the experiences of Agency staff working with potential partners to develop programme applications, such that we might identify lessons from adopting this type of partnership approach. METHODS: Semi-structured interviews were conducted with the 12 staff working in the MSP programme. Interviews were recorded, transcribed and analysed using thematic analysis. Preliminary themes were used to inform follow up focus-groups sessions. A second round of analysis was conducted guided by a coding paradigm focused on understanding process. RESULTS: We identified "experiencing uncertainty" to be a central concept in participants' accounts of the MSP process, related specifically to the MSP programme's novel conditions, shifts that occurred in sectoral roles and demands for new capacities. In response, Agency staff employed strategies to clarify partner interests, build trust in inter-sectoral relationships, and support internal and partner capacity. Outcomes associated with this process include impacts on trust between the Agency and potential partners, a deeper understanding of other sectors, and programme adaptations and refinements to address challenges related to the programme model. CONCLUSIONS: The co-funding model employed by the Agency is a potentially popular one for government bodies wanting to leverage funding from private sector sources. Our study identifies the potential challenges that can occur under this model. Some challenges are related to addressing material conditions related to partner capacity, whereas other challenges speak to deeper and more difficult to address concerns regarding trust and alignment of motivations and interests between partners. Future research exploring the challenges associated with specific models of MSP engagement is necessary to inform approaches to addressing complex problems through collaborative efforts.

Cross-sector partnerships and public health: challenges and opportunities for addressing obesity and noncommunicable diseases through engagement with the private sector.

Over the past few decades, cross-sector partnerships with the private sector have become an increasingly accepted practice in public health, particularly in efforts to address infectious diseases in low- and middle-income countries. Now these partnerships are becoming a popular tool in efforts to reduce and prevent obesity and the epidemic of noncommunicable diseases. Partnering with businesses presents a means to acquire resources, as well as opportunities to influence the private sector toward more healthful practices. Yet even though collaboration is a core principle of public health practice, public-private or nonprofit-private partnerships present risks and challenges that warrant specific consideration. In this article, we review the role of public health partnerships with the private sector, with a focus on efforts to address obesity and noncommunicable diseases in high-income settings. We identify key challenges-including goal alignment and conflict of interest-and consider how changes to partnership practice might address these.

Systems science and obesity policy: a novel framework for analyzing and rethinking population-level planning.

OBJECTIVES: We demonstrate the use of a systems-based framework to assess solutions to complex health problems such as obesity. METHODS: We coded 12 documents published between 2004 and 2013 aimed at influencing obesity planning for complex systems design (9 reports from US and Canadian governmental or health authorities, 1 Cochrane review, and 2 Institute of Medicine reports). We sorted data using the intervention-level framework (ILF), a novel solutions-oriented approach to complex problems. An in-depth comparison of 3 documents provides further insight into complexity and systems design in obesity policy. RESULTS: The majority of strategies focused mainly on changing the determinants of energy imbalance (food intake and physical activity). ILF analysis brings to the surface actions aimed at higher levels of system function and points to a need for more innovative policy design. CONCLUSIONS: Although many policymakers acknowledge obesity as a complex problem, many strategies stem from the paradigm of individual choice and are limited in scope. The ILF provides a template to encourage natural systems thinking and more strategic policy design grounded in complexity science.

Health communication cards as a tool for behaviour change.

Individuals seeking healthcare treatment in the context of obesity often experience difficulty engaging in discussions around their health and face challenges finding consensus with practitioners on care plans that best suit their lives. The complex set of biological, social, and environmental variables that have contributed to the higher prevalence of obesity are well illustrated in the foresight obesity system map. Effectively understanding and addressing key variables for each individual has proven to be difficult, with clinicians facing barriers and limited resources to help address patients' unique needs. However, productive discussions inspired by patient centered care may be particularly effective in promoting behaviour change. Tools based on systems science that facilitate patient centered care and help identify behaviour change priorities have not been developed to help treat adult obesity. This project created and pilot tested a card based clinical communication tool designed to help facilitate conversations with individuals engaged in health behaviour change. The health communication cards were designed to help direct conversation between patients and healthcare providers toward issues relevant to the individual. Use of the cards to facilitate patient driven conversations in clinical care may help to streamline conversations, set realistic care plan goals, and improve long term rates of compliance.

Obesity, Complexity, and the Role of the Health System.

As obesity continues to increase throughout the world, there is still no well-defined solution to the issue. Reducing obesity poses a significant challenge for the health care system because it is a complex problem with numerous interconnections and elements. The complexity of obesity challenges traditional primary care practices that have been structured to address simple or less complicated conditions. Systems thinking provides a way forward for clinicians that are discouraged or overwhelmed by the complexity of obesity. At any given level, individuals matter and system functioning is optimized when our capacity is well matched to the complexity of our tasks. Shifting paradigms around the causes of obesity is essential for creating a health care system that promotes innovative and collaborative practice for healthcare practitioners and individuals dealing with obesity.

The importance of systems thinking to address obesity.

Obesity is clearly a complex problem for both the individual and for society. Complex or 'wicked' problems have common characteristics such as heterogeneity, nonlinearity, interdependence, and self-organization. As such they require solutions appropriate for complex problems, rather than a reductionist search for the causes. 'Systems thinking' provides new ways to consider how to collectively address complex societal problems like obesity, where biology interacts with social, cultural and built environmental factors in infinite permutations and combinations. The systems that give rise to the obesity epidemic function at multiple levels, and there are important interactions between these levels. At any given level, individual actors and organizations matter and system function is optimized when individual and organizational capacity to respond is well matched to the complexity of individual tasks. Providing system supports to help networks of individuals become 'communities of practice' and 'systems of influence' may also help to accelerate the pace of effective action against obesity. Research efforts need to move away from the relentless search for the specific isolated causes of obesity and focus on solutions that have been shown to work in addressing other 'wicked' problems.

The global obesity pandemic: shaped by global drivers and local environments.

The simultaneous increases in obesity in almost all countries seem to be driven mainly by changes in the global food system, which is producing more processed, affordable, and effectively marketed food than ever before. This passive overconsumption of energy leading to obesity is a predictable outcome of market economies predicated on consumption-based growth. The global food system drivers interact with local environmental factors to create a wide variation in obesity prevalence between populations. Within populations, the interactions between environmental and individual factors, including genetic makeup, explain variability in body size between individuals. However, even with this individual variation, the epidemic has predictable patterns in subpopulations. In low-income countries, obesity mostly affects middle-aged adults (especially women) from wealthy, urban environments; whereas in high-income countries it affects both sexes and all ages, but is disproportionately greater in disadvantaged groups. Unlike other major causes of preventable death and disability, such as tobacco use, injuries, and infectious diseases, there are no exemplar populations in which the obesity epidemic has been reversed by public health measures. This absence increases the urgency for evidence-creating policy action, with a priority on reduction of the supply-side drivers.

Changing the future of obesity: science, policy, and action.

The global obesity epidemic has been escalating for four decades, yet sustained prevention efforts have barely begun. An emerging science that uses quantitative models has provided key insights into the dynamics of this epidemic, and enabled researchers to combine evidence and to calculate the effect of behaviours, interventions, and policies at several levels--from individual to population. Forecasts suggest that high rates of obesity will affect future population health and economics. Energy gap models have quantified the association of changes in energy intake and expenditure with weight change, and have documented the effect of higher intake on obesity prevalence. Empirical evidence that shows interventions are effective is limited but expanding. We identify several cost-effective policies that governments should prioritise for implementation. Systems science provides a framework for organising the complexity of forces driving the obesity epidemic and has important implications for policy makers. Many parties (such as governments, international organisations, the private sector, and civil society) need to contribute complementary actions in a coordinated approach. Priority actions include policies to improve the food and built environments, cross-cutting actions (such as leadership, healthy public policies, and monitoring), and much greater funding for prevention programmes. Increased investment in population obesity monitoring would improve the accuracy of forecasts and evaluations. The integration of actions within existing systems into both health and non-health sectors (trade, agriculture, transport, urban planning, and development) can greatly increase the influence and sustainability of policies. We call for a sustained worldwide effort to monitor, prevent, and control obesity.

Quantification of the relationship between glycemia and beta-cell mass adaptation in vivo.

Beta-cell mass dynamics play an important role in the adaptation to obesity, as well as in the pathogenesis of type 2 diabetes. Here we used a 24-hour modified hyperglycemic clamp protocol to investigate the effect of increasing glucose concentrations (15, 20, 25, or 35 mmol/L) on beta-cell mass and rates of beta-cell replication, death, and neogenesis in 6-week-old Sprague Dawley rats (n = 40). During the first 4 h of glucose infusion, plasma insulin levels rose to an approximate steady state in each group, but by the end of 24 h, there was no difference in insulin levels between any of the groups. There was also no difference in beta-cell mass between groups. Mean beta-cell replication rates displayed a linear relationship to mean plasma glucose levels in all hyperglycemic animals (r(2) = 0.98, p < 0.05). Relative to the uninfused basal control animals, replication rates were significantly reduced in the 15 mmol/L glucose group. The percentage of TUNEL-positive beta-cells was not different between groups. There was also no significant difference in markers of neogenesis. Thus, these data demonstrate that hyperglycemia for 24 h had no effect on beta-cell mass, death, or neogenesis in 6-week-old Sprague Dawley rats. We demonstrate a linear relationship, however, between hyperglycemia and beta-cell replication rates in vivo.

International perspectives on the physical inactivity crisis--structural solutions over evidence generation?

Many programs to increase physical activity have been evaluated in developed countries, where 'leisure time physical activity' is the most frequent domain for interventions. In developing countries, and also with reference to global obesity prevention, different kinds of interventions targeting 'total physical activity' are needed. This requires efforts across agencies and sectors, and in the domains of work, active transport, reduced sitting time, as well as leisure time physical activity promotion. In considering possible solutions, this commentary examined the use of complex systems, where integrated efforts across sectors and agencies might, in combination, contribute to increasing total physical activity. The key sets of actions required globally to increase physical activity were, in our opinion, [i] efforts to disseminate individual-level behavior change programs to reach much larger populations rather than volunteers, [ii] social marketing and mass communication campaigns to change social norms in the community and among professionals and policymakers, [iii] efforts to influence the social and physical environment to make them more conducive to physical activity, and [iv] the development and implementation of national physical activity plans and strategies, with sufficient timelines and resources to achieve measurable change.

Places to Intervene to Make Complex Food Systems More Healthy, Green, Fair, and Affordable.

A Food Systems and Public Health conference was convened in April 2009 to consider research supporting food systems that are healthy, green, fair, and affordable. We used a complex systems framework to examine the contents of background material provided to conference participants. Application of our intervention-level framework (paradigm, goals, system structure, feedback and delays, structural elements) enabled comparison of the conference themes of healthy, green, fair, and affordable. At the level of system structure suggested actions to achieve these goals are fairly compatible, including broad public discussion and implementation of policies and programs that support sustainable food production and distribution. At the level of paradigm and goals, the challenge of making healthy and green food affordable becomes apparent as some actions may be in conflict. Systems thinking can provide insight into the challenges and opportunities to act to make the food supply more healthy, green, fair, and affordable.

Getting from analysis to action: framing obesity research, policy and practice with a solution-oriented complex systems lens.

Public policy aimed at reducing obesity is just one of many avenues that must be pursued to address the still-growing obesity pandemic. The complexity of the problem is illustrated in ecological frameworks and system maps of the determinants. These conceptual maps illustrate the complexity by acknowledging the influence of many different factors such as social norms and values; sectors of influence such as the food and beverage industries, media and transportation; behavioural settings including home and family, school and community; and individual factors such as genetics, psychosocial and other personal elements. But to solve such a complex problem, we need to move from an analysis of the determinants or causes of the problem to a solution orientation; the frameworks used to describe the problem may not be the right ones for building the "best" solutions. Solution-oriented frameworks, like those presented by Hobbs and Seeman, have been based on parameters such as the sector of influence (e.g., public policy) but would benefit from the consideration of complexity and the leverage points for intervention in complex systems, which are a function of parameters such as the structure of relationships and the presence or absence of feedback loops.