Leveraging systems science and design thinking to advance implementation science: moving toward a solution-oriented paradigm.

Many public health challenges are characterized by complexity that reflects the dynamic systems in which they occur. Such systems involve multiple interdependent factors, actors, and sectors that influence health, and are a primary driver of challenges of insufficient implementation, sustainment, and scale of evidence-based public health interventions. Implementation science frameworks have been developed to help embed evidence-based interventions in diverse settings and identify key factors that facilitate or hinder implementation.

The Urban Environment and Cardiometabolic Health.

Urban environments contribute substantially to the rising burden of cardiometabolic diseases worldwide. Cities are complex adaptive systems that continually exchange resources, shaping exposures relevant to human health such as air pollution, noise, and chemical exposures. In addition, urban infrastructure and provisioning systems influence multiple domains of health risk, including behaviors, psychological stress, pollution, and nutrition through various pathways (eg, physical inactivity, air pollution, noise, heat stress, food systems, the availability of green space, and contaminant exposures).

Community coalition efforts to prevent childhood obesity: two-year results of the Shape Up Under 5 study.

Background: Cross-sector collaborations and coalitions are promising approaches for childhood obesity prevention, yet there is little empirical evidence about how they affect change. We hypothesized that changes in knowledge of, and engagement with, childhood obesity prevention among coalition members can diffuse through social networks to influence policies, systems, and environments.

Methods: We studied a community coalition (N = 16, Shape Up Under 5 "SUU5 Committee") focused on early childhood obesity prevention in Somerville, MA from 2015-17.

Making the invisible visible: Using a qualitative system dynamics model to map disparities in cumulative environmental stressors and children's neurodevelopment.

Background: The combined effects of multiple environmental toxicants and social stressor exposures are widely recognized as important public health problems, likely contributing to health inequities. However, US policy makers at state and federal levels typically focus on one stressor exposure at a time and have failed to develop comprehensive strategies to reduce multiple co-occurring exposures, mitigate cumulative risks and prevent harm. This research aimed to move from considering disparate environmental stressors in isolation to mapping the links between environmental, economic, social and health outcomes as a dynamic complex system using children's exposure to neurodevelopmental toxicants as an illustrative example.

System dynamics modelling to engage community stakeholders in addressing water and sugar sweetened beverage consumption.

Background: Participatory approaches to develop community-based system dynamics models to tackle complexity are promising, but research is needed in how simulation models can be developed with community stakeholders to yield significant system insights. This study presents the results of a community-based system dynamics modelling process to increase water consumption and decrease sugar sweetened beverage consumption in Portland, Victoria, a regional town in Australia.

Methods: A series of group model building workshops with 11 community stakeholders addressing the topic of water and sugar sweetened beverage consumption was conducted in Portland.

Meeting housing needs of child welfare-involved families: Policy insights from simulation modeling.

Background: Inadequate housing contributes to the risk of family separation in nearly one-quarter of child maltreatment investigations. Child welfare struggles to identify and address the demand for housing assistance. A range of housing interventions shows promise for stabilizing families.

Using Community-Based System Dynamics to Address Structural Racism in Community Health Improvement.

Context: Structural racism is a profound determinant of health resulting in pervasive health inequities for people of color. Despite the recognition of structural racism as a complex, dynamic system, we lack a shared vision of the system that would enable identification of solutions for equitable systems transformation.

Policy: Through a public health-led community health improvement planning process, a cross-sector consortium implemented community-based system dynamics to provide a systems science lens to guide efforts to eliminate structural racism.

Using Systems Science for Strategic Planning of Obesity Prevention and Treatment: The Roundtable on Obesity Solutions Experience.

The sustained multi-decade increase in the prevalence of obesity calls for a new approach on addressing this public health concern. The Roundtable on Obesity Solutions (ROOS) (of the National Academies of Sciences, Engineering, and Medicine NASEM), a multisector group comprised of members from a variety of organizations and institutions, initiated a year-long effort to build a strategic plan and roadmap for action that would drive a paradigm shift for the ROOS in pursuing obesity solutions. Following a review of obesity prevention and treatment recommendations with sufficient actionable-evidence by authoritative organizations, the ROOS deployed systems science methods.

Using cause-effect graphs to elicit expert knowledge for cross-impact balance analysis.

Cross-impact balance (CIB) analysis leverages expert knowledge pertaining to the nature and strength of relationships between components of a system to identify the most plausible future 'scenarios' of the system. These scenarios, also referred to as 'storylines', provide qualitative insights into how the state of one factor can either promote or restrict the future state of one or multiple other factors in the system. This paper presents a novel, visually oriented questionnaire developed to elicit expert knowledge about the relationships between key factors in a system, for the purpose of CIB analysis.

From causal loop diagrams to future scenarios: Using the cross-impact balance method to augment understanding of urban health in Latin America.

Urban health is shaped by a system of factors spanning multiple levels and scales, and through a complex set of interactions. Building on causal loop diagrams developed via several group model building workshops, we apply the cross-impact balance (CIB) method to understand the strength and nature of the relationships between factors in the food and transportation system, and to identify possible future urban health scenarios (i.e.

Defining and Intervening on Cumulative Environmental Neurodevelopmental Risks: Introducing a Complex Systems Approach.

Background: The combined effects of multiple environmental toxicants and social stressor exposures are widely recognized as important public health problems contributing to health inequities. However cumulative environmental health risks and impacts have received little attention from U.S.

Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting.

Background: Group model building (GMB) is a method to facilitate shared understanding of structures and relationships that determine system behaviors. This project aimed to determine the feasibility of GMB in a resource-limited setting and to use GMB to describe key barriers and facilitators to effective acute care delivery at a tertiary care hospital in Malawi.

Methods: Over 1 week, trained facilitators led three GMB sessions with two groups of healthcare providers to facilitate shared understanding of structures and relationships that determine system behaviors.

Understanding Mechanisms Driving Family Homeless Shelter Use and Child Mental Health.

Homeless shelters throughout the U.S. are overcrowded and under-resourced.

Systems Science Approaches for Global Environmental Health Research: Enhancing Intervention Design and Implementation for Household Air Pollution (HAP) and Water, Sanitation, and Hygiene (WASH) Programs.

Background: Two of the most important causes of global disease fall in the realm of environmental health: household air pollution (HAP) and poor water, sanitation, and hygiene (WASH) conditions. Interventions, such as clean cookstoves, household water treatment, and improved sanitation facilities, have great potential to yield reductions in disease burden. However, in recent trials and implementation efforts, interventions to improve HAP and WASH conditions have shown few of the desired health gains, raising fundamental questions about current approaches.

Implementing Group Model Building With the Shape Up Under 5 Community Committee Working to Prevent Early Childhood Obesity in Somerville, Massachusetts.

Objective: To describe our process of using group model building (GMB) with the Shape Up Under 5 Committee; measure the effects on Committee members; and describe the community-wide health messaging campaign that resulted from the process.

Design: Pilot study.

Setting: Somerville, Massachusetts.

Capability Traps Impeding Homeless Services: A Community-Based System Dynamics Evaluation.

Continuums of Care (CoCs) are the primary coordinating bodies for homeless services in the United States. However, the complexities involved in delivering homeless services across interagency networks challenges coordination and system improvement. CoC governance, planning, and service provision have received little attention in academic literature, and thus, Continuums attempt to manage complex systems with little guidance.

Design and methods of Shape Up Under 5: Integration of systems science and community-engaged research to prevent early childhood obesity.

Shape Up Under 5 (SUU5) was a two-year early childhood obesity prevention pilot study in Somerville, Massachusetts (2015-2017) designed to test a novel conceptual framework called Stakeholder-driven Community Diffusion. For whole-of-community interventions, this framework posits that diffusion of stakeholders' knowledge about and engagement with childhood obesity prevention efforts through their social networks will improve the implementation of health-promoting policy and practice changes intended to reduce obesity risk. SUU5 used systems science methods (agent-based modeling, group model building, social network analysis) to design, facilitate, and evaluate the work of 16 multisector stakeholders ('the Committee').

Translating systems thinking into practice for community action on childhood obesity.

We report on the first 18 months of two communities' efforts using methods inspired by community-based participatory system dynamics for the development, implementation, and evaluation of whole of community efforts to improve the health of children. We apply Foster-Fishman's theoretical framework for characterizing systems change to describe the initiatives. Bounding the system began with defining leaders more broadly than standard health interventions to be those who had the ability to change environments to improve health, including food retailers, government, and business, and using high-quality childhood monitoring data to define the problem.