Follow the Arrows: Using a Co-Created Causal Loop Diagram to Explore Leverage Points to Strengthen Population Physical Activity Promotion in British Columbia, Canada

BACKGROUND

Population physical activity promotion (PPAP) is one of the most effective noncommunicable disease prevention strategies, yet coordination is lacking around the world. Whole-of-system approaches and complex systems methods are called for to advance PPAP. This paper reports on a project which (1) used an Attributes Framework with system mapping (group model building and causal loop diagramming of feedback loops) and (2) identified potential leverage points to address the challenge of effective coordination of multisectoral PPAP in British Columbia.

METHODS

Key findings from stakeholder interviews and workshops described the current system for PPAP in terms of attributes and dimensions in the framework. These were translated into variables and used in group model building. Participants prioritized the importance of variables to address the coordination challenge and then created causal loop diagrams in 3 small groups. One collective causal loop diagram was created, and top priority variables and associated feedback loops were highlighted to explore potential leverage points.

RESULTS

Leverage points included the relationships and feedback loops among priority variables: political leadership, visible policy support and governance, connectivity for knowledge translation, collaborative multisector grants, multisector collaboration, and integrating co-benefits. Leveraging and altering "vicious" cyclical patterns to increase coordinated multisector PPAP are key.

CONCLUSIONS

The Attributes Framework, group model building and causal loop diagrams, and emergent feedback loops were useful to explore potential leverage points to address the challenge of multisectoral coordination of PPAP. Future research could apply the same methods in other jurisdictions and compare and contrast resultant frameworks, variables, feedback loops, and leverage points.

Elusive boundaries: using an attribute framework to describe systems for population physical activity promotion

The cost of physical inactivity is alarming, and calls for whole-of-system approaches to population physical activity promotion (PPAP) are increasing. One innovative approach to PPAP is to use a framework of interdependent attributes and associated dimensions of effective systems for chronic disease prevention. Describing system boundaries can be an elusive task, and this article reports on using an attribute framework as a first step in describing and then assessing and strengthening a provincial system for PPAP in British Columbia, Canada. Interviews were conducted with provincial stakeholders to gather perspectives regarding attributes of the system. Following this, two workshops were facilitated to document important stories about the current system for PPAP and link story themes with attributes. Results from interviews and workshops were summarized into key findings and a set of descriptive statements. One hundred and twenty-one statements provide depth, breadth and scope to descriptions of the system through the lens of an adapted framework including four attributes: (i) implementation of desired actions, (ii) resources, (iii) leadership and (iv) collaborative capacity. The attribute framework was a useful tool to guide a whole-of-system approach and turn elusive boundaries into rich descriptors of a provincial system for PPAP. Immediate implications for our research are to translate descriptive statements into variables, then assess the system through group model building and identify leverage points from a causal loop diagram to strengthen the system. Future application of this approach in other contexts, settings and health promotion and disease prevention topics is recommended.

Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users

BACKGROUND

The growth of urban dwelling populations globally has led to rapid increases of research and policy initiatives addressing associations between the built environment and physical activity (PA). Given this rapid proliferation, it is important to identify priority areas and research questions for moving the field forward. The objective of this study was to identify and compare research priorities on the built environment and PA among researchers and knowledge users (e.g., policy makers, practitioners).

METHODS

Between September 2022 and April 2023, a three-round, modified Delphi survey was conducted among two independent panels of international researchers (n = 38) and knowledge users (n = 23) to identify similarities and differences in perceived research priorities on the built environment and PA and generate twin 'top 10' lists of the most important research needs.

RESULTS

From a broad range of self-identified issues, both panels ranked in common the most pressing research priorities including stronger study designs such as natural experiments, research that examines inequalities and inequities, establishing the cost effectiveness of interventions, safety and injuries related to engagement in active transportation (AT), and considerations for climate change and climate adaptation. Additional priorities identified by researchers included: implementation science, research that incorporates Indigenous perspectives, land-use policies, built environments that support active aging, and participatory research. Additional priorities identified by knowledge users included: built environments and PA among people living with disabilities and a need for national data on trip chaining, multi-modal travel, and non-work or school-related AT.

CONCLUSIONS

Five common research priorities between the two groups emerged, including (1) to better understand causality, (2) interactions with the natural environment, (3) economic evaluations, (4) social disparities, and (5) preventable AT-related injuries. The findings may help set directions for future research, interdisciplinary and intersectoral collaborations, and funding opportunities.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Diverse Approaches to Creating and Using Causal Loop Diagrams in Public Health Research: Recommendations From a Scoping Review

Objectives: Complex systems thinking methods are increasingly called for and used as analytical lenses in public health research. The use of qualitative system mapping and in particular, causal loop diagrams (CLDs) is described as one promising method or tool. To our knowledge there are no published literature reviews that synthesize public health research regarding how CLDs are created and used. Methods: We conducted a scoping review to address this gap in the public health literature. Inclusion criteria included: 1) focused on public health research, 2) peer reviewed journal article, 3) described and/or created a CLD, and 4) published in English from January 2018 to March 2021. Twenty-three articles were selected from the search strategy. Results: CLDs were described as a new tool and were based upon primary and secondary data, researcher driven and group processes, and numerous data analysis methods and frameworks. Intended uses of CLDs ranged from illustrating complexity to informing policy and practice. Conclusion: From our learnings we propose nine recommendations for building knowledge and skill in creating and using CLDs for future public health research.

Surveying the local public health response to COVID-19 in Canada: Study protocol

BACKGROUND

Public health services and systems research is under-developed in Canada and this is particularly the case with respect to research on local public health unit operational functioning and capacity. The purpose of this paper is to report on a study that will collect retrospective information on the local public health response to COVID-19 throughout Canada between 2020 and 2021.

METHODS/DESIGN

The goal of the study is to develop and implement a study framework that will collect retrospective information on the local public health system response to the COVID-19 pandemic in Canada. This study will involve administering a mixed-method survey to Medical Health Officers/Medical Officers of Health in every local and regional public health unit across the country, followed by a process of coding and grouping these responses in a consistent and comparable way. Coded responses will be assessed for patterns of divergent or convergent roles and approaches of local public health across the country with respect to interventions in their response to COVID-19. The Framework Method of thematic analysis will be applied to assess the qualitative answers to the open-ended questions that speak to public health policy features.

DISCUSSION

The strengths of the study protocol include the engagement of Medical Health Officers/Medical Officers of Health as research partners and a robust integrated knowledge translation approach to further public health services and systems research in Canada.

Strengthening complex systems for chronic disease prevention: a systematic review

BACKGROUND

While frameworks exist for strengthening health care systems and public health systems, there are no practical frameworks to describe, assess and strengthen systems for chronic disease prevention (CDP) using complex systems approaches.

METHODS

A systematic and integrative review of peer reviewed literature was conducted to answer the following questions: How can systems for CDP be defined? What are key attributes of effective systems? How are complex systems approaches discussed? Search terms were identified and the Medline, SCOPUS, and Global Health databases were searched December 2017 and January 2018. Reference lists and selected journals were hand searched. A working definition for a system for CDP was developed to provide a guideline for inclusion. Key exclusion criteria were literature did not address the research questions or working definition; was published in a language other than English and before 2000; focused on specific chronic diseases and/or risk factors and not CDP broadly; concentrated on the health care sector and clinical services and/or health status and surveillance data; and described evaluations of setting specific actions such as policies, programs, interventions, approaches, projects, laws, or regulations. Selected literature (n = 141) was coded in terms of the extent to which the research questions and the working definition of systems for CDP were addressed. Data was then analysed and synthesized to determine key themes.

RESULTS

A revised definition of systems for CDP and seven attributes of effective systems for CDP are reported (collaborative capacity, health equity paradigm, leadership and governance, resources, implementation of desired actions, information and complex systems paradigm). A framework was developed to provide a foundation for describing, assessing and strengthening systems for CDP.

CONCLUSIONS

The results of this literature review provide a strong foundation for a framework to help strengthen systems for CDP. The framework consolidates not only well-established attributes of effective CDP but also highlights theoretical and practical insights from complex systems perspectives.

Why public health matters today more than ever: the convergence of health and social policy

We argue that public health matters more today than ever because it is uniquely positioned as a meeting point or fulcrum between health care and social welfare policy perspectives on the social determinants of health. It combines a grounding in the sciences of biomedicine and epidemiology with the moral imperatives of social advocacy. Health cannot be delivered through health care policy alone and neither can social welfare policy ensure the well-being of all citizens on its own. Social policy is at a disadvantage because it does not engender universal consent the way health policy can. While the way that illness should be addressed is debated, it should be addressed to be not contested, as is social welfare for vulnerable populations. The convergence of health and social policy to address the social determinants of health means public health advocacy must explicitly leverage biomedicine to provide materialist and substantive arguments and social welfare to provide the normative and moral arguments. We conclude that a new model of public health advocacy or social lobbying is necessary to effectively raise concerns that health care-focused thinking will not, but with potential heft that social welfare, historically, has not been able to command.

The value of a causal loop diagram in exploring the complex interplay of factors that influence health promotion in a multisectoral health system in Australia

BACKGROUND

Despite calls for the application of complex systems science in empirical studies of health promotion, there are very few examples. The aim of this paper was to use a complex systems approach to examine the key factors that influenced health promotion (HP) policy and practice in a multisectoral health system in Australia.

METHODS

Within a qualitative case study, a schema was developed that incorporated HP goals, actions and strategies with WHO building blocks (leadership and governance, financing, workforce, services and information). The case was a multisectoral health system bounded in terms of geographical and governance structures and a history of support for HP. A detailed analysis of 20 state government strategic documents and interviews with 53 stakeholders from multiple sectors were completed. Based upon key findings and dominants themes, causal pathways and feedback loops were established. Finally, a causal loop diagram was created to visualise the complex array of feedback loops in the multisectoral health system that influenced HP policy and practice.

RESULTS

The complexity of the multisectoral health system was clearly illustrated by the numerous feedback mechanisms that influenced HP policy and practice. The majority of feedback mechanisms in the causal loop diagram were vicious cycles that inhibited HP policy and practice, which need to be disrupted or changed for HP to thrive. There were some virtuous cycles that facilitated HP, which could be amplified to strengthen HP policy and practice. Leadership and governance at federal-state-local government levels figured prominently and this building block was interdependently linked to all others.

CONCLUSION

Creating a causal loop diagram enabled visualisation of the emergent properties of the case health system. It also highlighted specific leverage points at which HP policy and practice can be improved. This paper demonstrates the critical importance of leveraging leadership and governance for HP and adds urgency to the need for increased and strong advocacy efforts targeting all levels of government in multisectoral health systems.

Integrating Community Capacity Building and Enhanced Primary Health Care Services

The purpose of this study was to design, test and evaluate a community capacity assessment process within a Healthy Communities Initiative (HCI) in conjunction with model development for enhanced primary health care (PHC) services in small rural communities. This paper describes the HCI planning process and community capacity assessment methods and tools, in the context of a small rural community that identified enhanced PHC as a key priority area. A PHC demonstration project was developed and a model integrating community action with the PHC team and the services they provide was created. It is the community action component of the model that we highlight in this paper in order to further knowledge development of strategies to strengthen community action. The key learnings from this study are threefold. The assessment process appears to: (a) be effective in raising awareness, stimulating dialogue, and fostering learning about community capacity (both on the part of community participants and outside professional helpers), (b) be promising in terms of helping communities take action to build capacity in targeted areas, and (c) provide a forum for integrating the HCI and the PHC project, thereby allowing equal attention to be given to primary health care service delivery and to strengthening community action.