Thinking about complexity in health: A systematic review of the key systems thinking and complexity ideas in health

Parallel systems in healthcare: Addressing Indigenous health equity in Canada

The Canadian public healthcare system faces significant challenges in performance. While the formal healthcare system addresses funding, access and policy, there is a critical need to prioritise the informal system of community-oriented networks. This integration aligns with the World Health Organization's primary health care approach, emphasising a whole-of-society strategy for health equity. Canada's healthcare, harmonised through the Canada Health Act of 1984, focuses on need over ability to pay. Despite successes, the system struggles with social determinants of health and widening health inequities, especially among Indigenous peoples. Historical policies of forced assimilation have led to poor health outcomes and lower life expectancies for Indigenous populations. The Truth and Reconciliation Commission's Calls to Action stress removing barriers at multiple levels to improve Indigenous health. Indigenous perspectives on health, emphasising holistic wellness, contrast with Western healthcare's acute-illness focus. The emergence of parallel systems, informal networks within healthcare, reflects dissatisfaction with traditional approaches. Recognising the parallel system within Indigenous health, as proposed, can transform healthcare to better meet population needs. Systems mapping of Indigenous PHC in Alberta revealed numerous entities providing healthcare access, highlighting the importance of adequately funding and integrating these parallel systems to advance health equity.

myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization

OBJECTIVES

Report the development of the patient-centered myAURA application and suite of methods designed to aid epilepsy patients, caregivers, and clinicians in making decisions about self-management and care.

MATERIALS AND METHODS

myAURA rests on an unprecedented collection of epilepsy-relevant heterogeneous data resources, such as biomedical databases, social media, and electronic health records (EHRs). We use a patient-centered biomedical dictionary to link the collected data in a multilayer knowledge graph (KG) computed with a generalizable, open-source methodology.

RESULTS

Our approach is based on a novel network sparsification method that uses the metric backbone of weighted graphs to discover important edges for inference, recommendation, and visualization. We demonstrate by studying drug-drug interaction from EHRs, extracting epilepsy-focused digital cohorts from social media, and generating a multilayer KG visualization. We also present our patient-centered design and pilot-testing of myAURA, including its user interface.

DISCUSSION

The ability to search and explore myAURA's heterogeneous data sources in a single, sparsified, multilayer KG is highly useful for a range of epilepsy studies and stakeholder support.

CONCLUSION

Our stakeholder-driven, scalable approach to integrating traditional and nontraditional data sources enables both clinical discovery and data-powered patient self-management in epilepsy and can be generalized to other chronic conditions.

Patient safety is our business! Staff perspectives on implementing hospital falls prevention education

Providing patients with falls prevention education reduces falls in hospitals, yet there is limited research on what influences successful implementation at the staff, ward and hospital levels. We engaged hospital-based health professionals to identify multi-level barriers and enablers to patient falls education that could influence the implementation of a Safe Recovery program. Purposive sampling was used to recruit hospital staff (n = 40) for focus groups and one-on-one interviews. Data were analysed using content analysis and categorized using a socio-ecological framework to understand the micro, meso and macro level influences of hospital falls prevention. We identified five overarching themes, on the barriers and enablers to implementation of the Safe Recovery program. The enablers to falls prevention education included sharing the responsibility to implement the program, setting clear goals for staff, showing the impact of delivering the program, involving family to reinforce the messaging, using falls champions to upskill staff and making the resources (video and booklet) readily available to patients at all times. Barriers included insufficient time for staff to deliver falls prevention education, lack of falls prevention training for staff during their clinical training, absence of standardized protocols and clinical guidelines across hospital settings and insufficient hospital marketing to promote the program. Using a systems thinking approach, this study showed that implementation requires more advocacy and support for patient falls prevention across different tiers of the hospital system to integrate into usual care.

A novel social-network-analysis-based approach for analyzing complex network of actors involved in accessibility of anti-cancer medications in Iran

BACKGROUND

The access to anti-cancer medications is influenced by policies formed via the convergence of various stakeholders. The aim of this study is to identify and analyse the stakeholders involved in formulating and implementing policies related to the accessibility of anti-cancer medications in Iran and their interactions that are relevant to the outcomes of these policies for the first time.

METHODS

To achieve the objectives, a novel multistage social network analysis (SNA)-based approach that includes three phases is proposed. First, the actors were identified by a team consisting of multidisciplinary knowledgeable experts through 15 comprehensive interviews. Then, the influence relationships of these actors were comprehensively analysed through in-depth interviews with nine key informants involved in pharmaceutical policies through a structured questionnaire. Finally, a novel network of actors was determined accordingly, and a SNA-based approach proposed to reveal the intrinsic roles and various aspects of the importance of the network's actors.

RESULTS

The study identified a total of 45 actors, which were then classified into 4 categories on the basis of their public or private nature and their foreign or domestic origin. This established network helped in creating a comprehensive view of the main actors, and can help policymakers to solve the problems related to access to anti-cancer medications more effectively and prevent the creation of these problems in the future. In this way, the network identified specific actors that can benefit from increased attention and dialogue. The computational results revealed that the Iran Food and Drug Administration (IFDA), Pharmaceutical Importer Companies (PharIc) and Pharmaceutical Manufacturing Companies (PharMC) were highly important actors in terms of their connectivity to other actors. Additionally, law enforcement agencies (LEA) have shown limited effectiveness within this network.

CONCLUSIONS

This study highlights the importance of complex relationships among various actors and proposes a novel SNA-based approach to analyse them. Regarding the main steps of the proposed approach and the findings, it is imperative for pharmaceutical policy plans to involve a diverse group of experts from the beginning, prioritizing the preferences of stakeholders, and providing a patient-centred approach to prevent the worsening of resource shortages.

If things were simple, word would have gotten around. Can complexity science help us improve pediatric research?

Complexity science is a discipline which explores how complex systems behave and how we interact with them. Though it is widely implemented outside medicine, particularly in the sciences involving human behavior, but also in the natural sciences such as physics and biology, there are only a few applications within medical research. We propose that complexity science can provide new and helpful perspectives on complex pediatric medical problems. It can help us better understand complex systems and develop ways to cope with their inherent unpredictabilities. In this article, we provide a brief introduction of complexity science, explore why many medical problems can be considered 'complex', and discuss how we can apply this perspective to pediatric research. IMPACT: Current methods in pediatric research often focus on single mechanisms or interventions instead of systems, and tend to simplify complexity. This may not be appropriate. Complexity science provides a framework and a toolbox to better address complex problems. This review provides a starting point for the application of complexity science in pediatric research.

"Learn from Errors": Post-traumatic growth among second victims

BACKGROUND

Second victims, defined as healthcare providers enduring emotional and psychological distress after patient safety incidents (PSIs). The potential for positive transformation through these experiences is underexplored but is essential for fostering a culture of error learning and enhancing patient care.

OBJECTIVE

To explore the level and determinants of post-traumatic growth (PTG), applying the stress process model.

METHODS

The study was conducted at a tertiary general hospital in Chongqing, China. A descriptive, cross-sectional study design was used. A total of 474 s victims were included. An online survey was conducted in November 2021 to assess various factors related to the second victim experience. These factors included PSIs (considered as stressors), coping styles, perceived threats, and social support (acting as mediators), as well as the outcomes of second victim syndrome (SVS) and PTG. Statistical description, correlation analysis, and structural equation modeling were utilized for the data analysis. A p-value ≤ 0.05 was considered to indicate statistical significance.

RESULTS

The participants reported moderate distress (SVS = 2.84 ± 0.85) and PTG (2.72 ± 0.85). The total effects on SVS of perceived threat, negative coping, social support, positive coping, and PSIs were 0.387, 0.359, -0.355, -0.220, and 0.115, respectively, accounting for 47% of the variation in SVS. The total effects of social support, positive coping, and PSIs on PTG were 0.355, 0.203, and - 0.053, respectively, accounting for 19% of the variation in PTG.

CONCLUSIONS

The study provides novel insights into the complex interplay between perceived threats, coping styles, and social support in facilitating PTG among second victims. By bolstering social support and promoting adaptive coping strategies, the adverse effects of PSIs can be mitigated, transforming them into opportunities for resilience and growth, and offering a fresh perspective on managing PSIs in healthcare settings.

Medical consultants' experience of collective leadership in complexity: a qualitative interview study

PURPOSE

The aim of this study was to explore and understand the leadership experiences of medical consultants prior to a major hospital move. Health and care is becoming increasingly complex and there is no greater challenge than the move to a new hospital. Effective leadership has been identified as being essential for successful transition. However, there is very little evidence of how medical consultants experience effective leadership.

DESIGN/METHODOLOGY/APPROACH

A qualitative methodology was utilized with one-to-one semi-structured interviews conducted with ten medical consultants. These were transcribed verbatim and analyzed using inductive thematic analysis. The research complied with the consolidated criteria for reporting qualitative research (COREQ).

FINDINGS

Four themes were found to influence medical consultants' experience of leadership: collaboration, patient centredness, governance and knowledge mobilization. Various factors were identified that negatively influenced their leadership effectiveness. The findings suggest that there are a number of factors that influence complexity leadership effectiveness. Addressing these areas may enhance leadership effectiveness and the experience of leadership in medical consultants.

RESEARCH LIMITATIONS/IMPLICATIONS

This study provides a rich exploration of medical consultants' experience of collective leadership prior to a transition to a new hospital and provides new understandings of the way collective leadership is experienced in the lead up to a major transition and makes recommendations for future leadership research and practice.

PRACTICAL IMPLICATIONS

The findings suggest that there are a number of factors that influence complexity leadership effectiveness. Addressing these areas may enhance leadership effectiveness and the experience of leadership in medical consultants.

SOCIAL IMPLICATIONS

Clinical leadership is associated with better outcomes for patients therefore any interventions that enhance leadership capability will improve outcomes for patients and therefore benefit society.

ORIGINALITY/VALUE

This is the first research to explore medical consultants' experience of collective leadership prior to a transition to a new hospital.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

The work of patient flow management: A grounded theory study of emergency nurses

INTRODUCTION

The current crisis of emergency department overcrowding demands novel approaches. Despite a growing body of patient flow literature, there is little understanding of the work of emergency nurses. This study explored how emergency nurses perform patient flow management.

METHODS

Constructivist grounded theory and situational analysis methodologies were used to examine the work of emergency nurses. Twenty-nine focus groups and interviews of 27 participants and 64 hours of participant observation across four emergency departments were conducted between August 2022 and February 2023. Data were analyzed using coding, constant comparative analysis, and memo-writing to identify emergent themes and develop a substantive theory.

FINDINGS

Patient flow management is the work of balancing department resources and patient care to promote collective patient safety. Patient safety arises when care is ethical, efficient, and appropriately weighs care timeliness and comprehensiveness. Emergency nurses use numerous patient flow management strategies that can be organized into five tasks: information gathering, continuous triage, resource management, throughput management, and care oversight.

CONCLUSION

Patient flow management is complex, cognitively demanding work. The central contribution of this paper is a theoretical model that reflects emergency nurses'conceptualizations, discourse, and priorities. This model lays the foundation for knowledge sharing, training, and practice improvement.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Using Systems Thinking and Complexity Theory to understand and improve Emergency Medicine: Lessons from COVID-19 in a safety net health system

RATIONALE

COVID-19 has fundamentally changed the practice of Emergency Medicine (EM). Care delivery on the front lines has historically depended upon ostensibly reliable input-output models for staffing, supplies, policies, and therapies. Challenged by the complexity of healthcare during the pandemic, the fallibility of these reductionist models was quickly revealed. Providers and systems quickly had to reconceptualize their dependence on the wider, complex system in which healthcare operates and find adaptive solutions to rapid changes.

AIMS/METHOD

This papers seeks to review and describe how Systems Thinking and Complexity Theory (ST/CT)-concepts, principles, and tools that can be used to understand and impact our constantly evolving health system-can be applied to better understand and enact change in complex settings such as during COVID-19. Some of these ST/CT are described through the real world example of the Alameda Health System Vaccine Taskforce.

RESULTS

ST/CT concepts such as Unintended Consequences, Interrelationships, Emergent Behavior, Feedback Loops, and Path Dependence can help EM providers and planners understand the context in which their system operates. Key principles such as Collaboration, Iterative Learning, and Transformational Leadership can help these actors respond to current and future challenges. The integration of these concepts and principles into the Learning Health System offers a model for tying these key concepts and principles together into an adaptive, cross-sectoral organizational approach.

CONCLUSION

By integrating ST/CT into the practice of EM, we can not only improve our ability to care for patients but also our capacity to understand and strengthen our wider systems of care.

The need for One Health systems-thinking approaches to understand multiscale dissemination of antimicrobial resistance

Although the effects of antimicrobial resistance (AMR) are most obvious at clinical treatment failure, AMR evolution, transmission, and dispersal happen largely in environmental settings, for example within farms, waterways, livestock, and wildlife. We argue that systems-thinking, One Health approaches are crucial for tackling AMR, by understanding and predicting how anthropogenic activities interact within environmental subsystems, to drive AMR emergence and transmission. Innovative computational methods integrating big data streams (eg, from clinical, agricultural, and environmental monitoring) will accelerate our understanding of AMR, supporting decision making. There are challenges to accessing, integrating, synthesising, and interpreting such complex, multidimensional, heterogeneous datasets, including the lack of specific metrics to quantify anthropogenic AMR. Moreover, data confidentiality, geopolitical and cultural variation, surveillance gaps, and science funding cause biases, uncertainty, and gaps in AMR data and metadata. Combining systems-thinking with modelling will allow exploration, scaling-up, and extrapolation of existing data. This combination will provide vital understanding of the dynamic movement and transmission of AMR within and among environmental subsystems, and its effects across the greater system. Consequently, strategies for slowing down AMR dissemination can be modelled and compared for efficacy and cost-effectiveness.

Evaluation of collaborative mental health services in Latin America: Theoretical and methodological basis

OBJECTIVES

Approaches to collaborative mental health care (CMHC) have been implemented in many countries to strengthen the accessibility and delivery of mental health services in primary care. However, there are not well-defined frameworks to evaluate CMHC models. The purpose of this article is to identify, contextualize and discuss relevant health services research approaches, theory, and evaluation models for the development of an appropriate evaluation framework in order to foster effective CMHC in Latin America.

METHODS

A comprehensive literature review informed a critical analysis of relevant theories and alternative methods to be considered in the development of the framework.

RESULTS

Specific health services research frameworks are discussed in the context of evaluating CMHC. Two theoretical perspectives - collaboration theory and systems theory - and three evaluation models- realistic, developmental and collaborative - are analyzed in terms of their relevance. Methodological implications are identified.

CONCLUSION

An appropriate evaluation framework for CMHC in Latin America needs to reflect theoretical and contextual considerations and relevant evaluation approaches and methods, including key dimensions and attributes/variables, core indicators, and recommendations for implementation.

A qualitative system model to describe the causes and drivers of frequent potentially avoidable presentations to the emergency department

Frequent potentially avoidable presentations to Emergency Departments (EDs) represent a complex problem, driven by multiple interdependent and interacting factors that change over time and influence one another. We sought to describe and map the drivers of frequent potentially avoidable presentations to a regional ED, servicing regional and rural areas, and identify possible solutions from the perspectives of key stakeholders. This study used a qualitative, community-based systems dynamics approach utilising Group Model Building (GMB). Data were collected from two 3-h online workshops embedded with small-group discussions and conducted with stakeholder groups operating within a regional health system. Stakeholders were guided through a series of participatory tasks to develop a causal loop diagram (CLD) using Systems Thinking in Community Knowledge Exchange software (n=29, workshop one), identify potential action points and generate a prioritised action list to intervene in the system (n=21, workshop two). Data were collected through note taking, real-time system mapping, and recording the workshops. Each action was considered against the Public Health 12 framework describing twelve leverage points to intervene in a system. A CLD illustrating the complex and interrelated factors that drive frequent potentially avoidable ED presentations was developed and classified into four categories: (1) access to services; (2) coordination; (3) patient needs; and (4) knowledge and skills. Nine action areas were identified, with many relating to care and service coordination. Most actions aligned with lower-level system impact actions. This study provides an in-depth understanding of influencing factors and potential solutions for frequent potentially avoidable ED presentations across a regional health system. The CLD demonstrates frequent potentially avoidable ED presentations are a complex problem and identified that a prevention response should engage with system- and individual-level solutions. Further work is needed to prioritise actions to support the implementation of higher-level system impacts.

Sexual risk-taking behavior amongst emerging adults in a tertiary institution of learning in Coastal Kenya: A qualitative study of stakeholders' perspectives using causal loop mapping

BACKGROUND

It is known from previous studies that university students in sub-Saharan Africa (sSA) engage in sexual risk-taking behaviour (SRTB). However, there is paucity of data on factors contributing to SRTB among university students (emerging adults) at the Kenyan Coast thus hindering intervention planning. This study seeks to provide an in-depth qualitative understanding of the factors contributing to SRTB and their interconnectedness among university students at the Kenyan Coast combining qualitative research with a systems thinking approach.

METHODS

Using the ecological model, and employing in-depth interviews, we explored the perceptions of twenty-six key informants (twenty-one emerging adults and five other stakeholders) on what constitutes and influences SRTB among emerging adults at a tertiary institution of learning in Coastal Kenya. Data were analysed using a thematic framework approach. A causal loop diagram (CLD) was developed to map the interconnectedness of the correlates of SRTB.

RESULTS

Our findings show that unprotected sex, transactional sex, cross-generational sex, multiple sex partnerships, gender-based violence, sex under influence of alcohol/drugs, early sex debut, and sharing sex toys were common SRTBs. Based on the ecological model and CLD, most of the reported risk factors were interconnected and operated at the individual level.

CONCLUSION

Our study shows that emerging adults are frequently engaging in unprotected sex. Enhancing sexuality education programs for students in Kenyan universities and strengthening support systems including counselling for those using alcohol/drugs may help reduce SRTB among emerging adults in Kenyan universities.

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

Introduction

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

Methods

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

Results

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

Discussion/conclusions

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

Double burden of vulnerability for refugees: conceptualization and policy solutions for financial protection in Iran using systems thinking approach

INTRODUCTION

Iran is host to one of the world's largest and longest-standing refugee populations. Although Iran has initiated a basic health insurance scheme for refugees throughout the country since September 2015, the population coverage of this scheme is very low, and various factors have caused a significant percentage of refugees to still lack insurance coverage and often face financial hardships when receiving health services. In response, this study aimed to understand barriers to insurance coverage among refugees in Iran and propose effective policies that can address persistent gaps in financial protection.

METHODS

This qualitative study was conducted in two phases. First, a review of policy documents and interviews with participants were conducted to investigate the common barriers and facilitators of effective insurance coverage for refugees in Iran. Then, a systems thinking approach was applied to visualize the common variables and interactions on the path to achieving financial protection for refugees.

RESULTS

Findings showed that various factors, such as (1) household-based premium for refugees, (2) considering a waiting time to be eligible for insurance benefits, (3) determining high premiums for non-vulnerable groups and (4) a deep difference between the health services tariffs of the public and private service delivery sectors in Iran, have caused the coverage of health insurance for non-vulnerable refugees to be challenging. Furthermore, some policy solutions were found to improve the health insurance coverage of refugees in Iran. These included removing household size from premium calculations, lowering current premium rates and getting monthly premiums from non-vulnerable refugees.

CONCLUSIONS

A number of factors have caused health insurance coverage to be inaccessible for refugees, especially non-vulnerable refugees in Iran. Therefore, it is necessary to adopt effective policies to improve the health financing for the refugee with the aim of ensuring financial protection, taking into account the different actors and the interactions between them.

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

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

Systems thinking methods: a worked example of supporting emergency medical services decision-makers to prioritize and contextually analyse potential interventions and their implementation

BACKGROUND

Systems thinking can be used as a participatory data collection and analysis tool to understand complex implementation contexts and their dynamics with interventions, and it can support the selection of tailored and effective implementation actions. A few previous studies have applied systems thinking methods, mainly causal loop diagrams, to prioritize interventions and to illustrate the respective implementation context. The present study aimed to explore how systems thinking methods can help decision-makers (1) understand locally specific causes and effects of a key issue and how they are interlinked, (2) identify the most relevant interventions and best fit in the system, and (3) prioritize potential interventions and contextually analyse the system and potential interventions.

METHODS

A case study approach was adopted in a regional emergency medical services (EMS) system in Germany. We applied systems thinking methods following three steps: (1) a causal loop diagram (CLD) with causes and effects (variables) of the key issue "rising EMS demand" was developed together with local decision-makers; (2) targeted interventions addressing the key issue were determined, and impacts and delays were used to identify best intervention variables to determine the system's best fit for implementation; (3) based on steps 1 and 2, interventions were prioritized and, based on a pathway analysis related to a sample intervention, contextually analysed.

RESULTS

Thirty-seven variables were identified in the CLD. All of them, except for the key issue, relate to one of five interlinked subsystems. Five variables were identified as best fit for implementing three potential interventions. Based on predicted implementation difficulty and effect, as well as delays and best intervention variables, interventions were prioritized. The pathway analysis on the example of implementing a standardized structured triage tool highlighted certain contextual factors (e.g. relevant stakeholders, organizations), delays and related feedback loops (e.g. staff resource finiteness) that help decision-makers to tailor the implementation.

CONCLUSIONS

Systems thinking methods can be used by local decision-makers to understand their local implementation context and assess its influence and dynamic connections to the implementation of a particular intervention, allowing them to develop tailored implementation and monitoring strategies.

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

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

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

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

The association between psychosocial factors and mental health symptoms in cervical spine pain with or without radiculopathy on health outcomes: a systematic review

BACKGROUND

Neck pain, with or without radiculopathy, can have significant negative effects on physical and mental wellbeing. Mental health symptoms are known to worsen prognosis across a range of musculoskeletal conditions. Understanding the association between mental health symptoms and health outcomes in this population has not been established. Our aim was to systematically review the association between psychosocial factors and/or mental health symptoms on health outcomes in adults with neck pain, with or without radiculopathy.

METHODS

A systematic review of published and unpublished literature databases was completed. Studies reporting mental health symptoms and health outcomes in adults with neck pain with or without radiculopathy were included. Due to significant clinical heterogeneity, a narrative synthesis was completed. Each outcome was assessed using GRADE.

RESULTS

Twenty-three studies were included (N = 21,968 participants). Sixteen studies assessed neck pain only (N = 17,604 participants); seven studies assessed neck pain with radiculopathy (N = 4,364 participants). Depressive symptoms were associated with poorer health outcomes in people with neck pain and neck pain with radiculopathy. These findings were from seven low-quality studies, and an additional six studies reported no association. Low-quality evidence reported that distress and anxiety symptoms were associated with poorer health outcomes in people with neck pain and radiculopathy and very low-quality evidence showed this in people with neck pain only. Stress and higher job strain were negatively associated with poorer health outcomes measured by the presence of pain in two studies of very low quality.

CONCLUSIONS

Across a small number of highly heterogenous, low quality studies mental health symptoms are negatively associated with health outcomes in people with neck pain with radiculopathy and neck pain without radiculopathy. Clinicians should continue to utilise robust clinical reasoning when assessing the complex factors impacting a person's presentation with neck pain with or without radiculopathy.

PROSPERO REGISTRATION NUMBER

CRD42020169497.

Application of complexity theory in health and social care research: a scoping review

BACKGROUND

Complexity theory has been chosen by many authors as a suitable lens through which to examine health and social care. Despite its potential value, many empirical investigations apply the theory in a tokenistic manner without engaging with its underlying concepts and underpinnings.

OBJECTIVES

The aim of this scoping review is to synthesise the literature on empirical studies that have centred on the application of complexity theory to understand health and social care provision.

METHODS

This scoping review considered primary research using complexity theory-informed approaches, published in English between 2012 and 2021. Cochrane Database of Systematic Reviews, MEDLINE, CINAHL, EMBASE, Web of Science, PSYCHINFO, the NHS Economic Evaluation Database, and the Health Economic Evaluations Database were searched. In addition, a manual search of the reference lists of relevant articles was conducted. Data extraction was conducted using Covidence software and a data extraction form was created to produce a descriptive summary of the results, addressing the objectives and research question. The review used the revised Arksey and O'Malley framework and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR).

RESULTS

2021 studies were initially identified with a total of 61 articles included for extraction. Complexity theory in health and social care research is poorly defined and described and was most commonly applied as a theoretical and analytical framework. The full breadth of the health and social care continuum was not represented in the identified articles, with the majority being healthcare focused.

DISCUSSION

Complexity theory is being increasingly embraced in health and care research. The heterogeneity of the literature regarding the application of complexity theory made synthesis challenging. However, this scoping review has synthesised the most recent evidence and contributes to translational systems research by providing guidance for future studies.

CONCLUSION

The study of complex health and care systems necessitates methods of interpreting dynamic prcesses which requires qualitative and longitudinal studies with abductive reasoning. The authors provide guidance on conducting complexity-informed primary research that seeks to promote rigor and transparency in the area.

REGISTRATION

The scoping review protocol was registered at Open Science Framework, and the review protocol was published at BMJ Open (https://bit.ly/3Ex1Inu).

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Success of community-based system dynamics in prevention interventions: A systematic review of the literature

Systems thinking approaches are increasingly being used to help communities understand and develop responses to preventing complex health problems. Less is known about how success is characterized and what influences success in these approaches. We present a systematic review of how concepts of success are understood and evaluated in the peer reviewed literature of studies using systems thinking in community prevention. We searched five databases for peer-reviewed literature published between 2000 and 2022, with search terms related to systems thinking, prevention and community. Studies were included if they; reported using community-based systems thinking to prevent a public health problem; described the engagement and empowerment of community members to address a public health issue; and, were published in English. Thirty-four articles were identified from 10 countries. Twenty-one aimed to prevent a chronic disease (e.g., obesity) and 16 measured success using specific tools, 10 of which used semi-structured interviews or surveys. Measures of success included implementation processes, cultural appropriateness, the number or type of actions implemented, effectiveness of community action, and changes in individual thinking or mental models, population health outcomes, data collected, or systems level measures. Implementation factors influencing success included the capacity to engage participants, composition and experience of facilitators, strength of coordination teams, allocation of resources, adaptation to participant feedback, use of multiple systems approaches, workshop process providing time and methods to allow new insights, flexible delivery, and diversity of perspectives. Findings from each of the articles indicated that approaches increased a range of outcomes including community action, strategic thinking, future planning and evaluation, community buy-in, community voice, contribution and leadership, in addition to developing shared visions and goals and creating new, ongoing collaborations, among many others. Measures of success varied, suggesting more empirical reporting of proposed outcomes of system science in communities would be valuable. While the measurement of success in the use of systems thinking in community-based prevention efforts is limited, there are helpful examples we can look to for future measurement of success.

Using systems perspectives in evidence synthesis: A methodological mapping review

Reviewing complex interventions is challenging because they include many elements that can interact dynamically in a nonlinear manner. A systems perspective offers a way of thinking to help understand complex issues, but its application in evidence synthesis is not established. The aim of this project was to understand how and why systems perspectives have been applied in evidence synthesis. A methodological mapping review was conducted to identify papers using a systems perspective in evidence synthesis. A search was conducted in seven bibliographic databases and three search engines. A total of 101 papers (representing 98 reviews) met the eligibility criteria. Two categories of reviews were identified: (1) reviews using a "systems lens" to frame the topic, generate hypotheses, select studies, and guide the analysis and interpretation of findings (n = 76) and (2) reviews using systems methods to develop a systems model (n = 22). Several methods (e.g., systems dynamic modeling, soft systems approach) were identified, and they were used to identify, rank and select elements, analyze interactions, develop models, and forecast needs. The main reasons for using a systems perspective were to address complexity, view the problem as a whole, and understand the interrelationships between the elements. Several challenges for capturing the true nature and complexity of a problem were raised when performing these methods. This review is a useful starting point when designing evidence synthesis of complex interventions. It identifies different opportunities for applying a systems perspective in evidence synthesis, and highlights both commonplace and less familiar methods.

Designing for Impact and Institutionalization: Applying Systems Thinking to Sustainable Postpartum Family Planning Approaches for First-Time Mothers in Bangladesh

Integrated service delivery approaches have shown promise to increase use of services including postpartum family planning (PPFP) by young, first-time mothers (FTMs) but have proven challenging to scale and institutionalize. Integration adds complexity, requiring careful assessment of effects on a range of key system functions from demand creation and service delivery to oversight and governance. Through an innovative design process, we selected approaches to increase FTMs' PPFP use through existing health systems. We generated programmatic options and then sought to select approaches based on (1) potential impact on FTMs' PPFP uptake and (2) potential to institutionalize in the health system. The latter represented an innovation in addressing management systems' drivers of scalability and sustainability; to accomplish it, we developed a participatory design process to assess the potential of an approach to be institutionalized in a specific context.We adapted a management systems theory, the Viable System Model (VSM), which presents 5 essential organizational functions and the relations required between them to improve the viability (performance and institutionalization) of organizational systems. Drawing from the VSM, we developed a process for reviewing the effects of proposed approaches on provider workload, client flow, infrastructure, revisions to guidelines and job descriptions, coordination and management, and information systems. The VSM provided a structure to identify potential displacement of capacity in the health system and mitigate often neglected organizational challenges that compromise institutionalization. The process informed the elimination of approaches with potential for impact but that had deal-breakers to institutionalization, such as increased workload or shifted job descriptions, in the Bangladeshi context. For the selected approaches, consideration of systems elements fostered discussion of expected risks to institutionalization, highlighting needed mitigation efforts and monitoring during implementation.

Conceptualising learning healthcare systems and organisations in the context of rehabilitation: a scoping review protocol

Background: Transformative system wide action is needed for healthcare systems to meet the needs of an increasing aging population and changing health needs. One idea is that health systems can become “learning organisations” (LO) or “learning healthcare systems” (LHS) that continuously generate and apply evidence, innovation, quality, and value to provide better care. This is of value to non-acute healthcare settings such as rehabilitation, which are complex, multi-dimensional and multi-disciplinary in nature. Little is known about how these frameworks have been applied to rehabilitation settings. Objective and inclusion criteria: The aim of this scoping review is to systematically map and summarise the literature conceptualising and operationalising LHS and LO in rehabilitation settings. Studies will be included which define a LO or LHS; or describe an operating LHS/LO; or include the translation of research evidence generated from LHS/LO data into healthcare improvement within a rehabilitation context will be included. Study designs such as quantitative, qualitative, mixed method studies, and case studies will be included. Methods: The guidelines from the Joanna Briggs institute methodology for scoping reviews will be used for this review. The literature search will be performed using a three-step search strategy: an initial limited search of two databases has been performed to identify relevant key words and index terms. The developed search string will be adapted and applied across the following databases: OVID MEDLINE, EMBASE, CINAHL Plus, APA PsycINFO and COCHRANE Database of Systematic Reviews. This will be followed by search of the reference lists of selected sources and relevant data-hubs. A draft data extraction framework will be used and updated iteratively to extract data. Frequency counts and qualitative content analysis will be employed to address the research question of how LHS and LO have been conceptualised and operationalised in the context of rehabilitation.

A scoping review of systems approaches for increasing physical activity in populations

INTRODUCTION

The past decade has increasingly seen systems approaches as a featured theme in public health studies and policy documents. This trend is evident in the area of physical activity, which is a significant global health risk factor that is addressed in WHO's Global Action Plan on Physical Activity. We undertook a comprehensive scoping review to characterize the application of systems approaches to physical activity, to develop a typology of the objectives, themes and methods of research papers that purported to apply systems thinking to this issue.

METHODS

We searched electronic databases (PubMed, Web of Science, Scopus and PsycINFO) for studies published during the period 2010-2021 that explicitly applied systems approaches or methods to investigate and/or address population physical activity. A framework using systems-based methodological approaches was adapted to classify physical activity studies according to their predominant approach, covering basic descriptive, complex analytical and advanced forms of practice. We selected case studies from retained studies to depict the current "state of the art".

RESULTS

We included 155 articles in our narrative account. Literature reporting the application of systems approaches to physical activity is skewed towards basic methods and frameworks, with most attention devoted to conceptual framing and predictive modelling. There are few well-described examples of physical activity interventions which have been planned, implemented and evaluated using a systems perspective. There is some evidence of "retrofitted" complex system framing to describe programmes and interventions which were not designed as such.

DISCUSSION

We propose a classification of systems-based approaches to physical activity promotion together with an explanation of the strategies encompassed. The classification is designed to stimulate debate amongst policy-makers, practitioners and researchers to inform the further implementation and evaluation of systems approaches to physical activity.

CONCLUSION

The use of systems approaches within the field of physical activity is at an early stage of development, with a preponderance of descriptive approaches and a dearth of more complex analyses. We need to see movement towards a more sophisticated research agenda spanning the development, implementation and evaluation of systems-level interventions.

Using systems thinking to increase understanding of the innovation system of healthcare organisations

PURPOSE

This paper applies systems thinking modelling to enhance the dynamic understanding of how to nurture an innovative culture in healthcare organisations to develop the innovation system in practice and speed up the innovative work. The model aims to provide a holistic view of a studied healthcare organisation's innovation processes, ranging from managerial values to its manifestation in improved results.

DESIGN/METHODOLOGY/APPROACH

The study is based on empirical material from a healthcare unit that, within a few years, changed from having no innovations to repeatedly generating innovations. The study uses the modelling language of causal loop diagrams (CLDs) in the system dynamics methodology to identify the key important aspects found in the empirical material.

FINDINGS

The proposed model, based on the stories of the interviewees, explores the dynamics of inertia when nurturing an innovative culture, identifying delays attributed to the internal change processes and system relationships. These findings underscored the need for perseverance when developing an innovative culture in the entrepreneurial phases.

PRACTICAL IMPLICATIONS

The approach of using systems thinking to make empirical healthcare research results more tangible through the visual notations of CLDs and mental simulations is believed to support exploring complex phenomena to induce and nurture both individual and organisational learning.

ORIGINALITY/VALUE

The results from this approach provide deepened analysis and provoke the systems view to explain how the nurturing of the culture can accelerate the innovation processes, which helps practitioners and researchers to further expand their understanding of their healthcare contexts.

Exploring the mechanisms behind HIV drug resistance in sub-Saharan Africa: conceptual mapping of a complex adaptive system based on multi-disciplinary expert insights

BACKGROUND

HIV drug resistance (HIVDR) continues to threaten the effectiveness of worldwide antiretroviral therapy (ART). Emergence and transmission of HIVDR are driven by several interconnected factors. Though much has been done to uncover factors influencing HIVDR, overall interconnectedness between these factors remains unclear and African policy makers encounter difficulties setting priorities combating HIVDR. By viewing HIVDR as a complex adaptive system, through the eyes of multi-disciplinary HIVDR experts, we aimed to make a first attempt to linking different influencing factors and gaining a deeper understanding of the complexity of the system.

METHODS

We designed a detailed systems map of factors influencing HIVDR based on semi-structured interviews with 15 international HIVDR experts from or with experience in sub-Saharan Africa, from different disciplinary backgrounds and affiliated with different types of institutions. The resulting detailed system map was conceptualized into three main HIVDR feedback loops and further strengthened with literature evidence.

RESULTS

Factors influencing HIVDR in sub-Saharan Africa and their interactions were sorted in five categories: biology, individual, social context, healthcare system and 'overarching'. We identified three causal loops cross-cutting these layers, which relate to three interconnected subsystems of mechanisms influencing HIVDR. The 'adherence motivation' subsystem concerns the interplay of factors influencing people living with HIV to alternate between adherence and non-adherence. The 'healthcare burden' subsystem is a reinforcing loop leading to an increase in HIVDR at local population level. The 'ART overreliance' subsystem is a balancing feedback loop leading to complacency among program managers when there is overreliance on ART with a perceived low risk to drug resistance. The three subsystems are interconnected at different levels.

CONCLUSIONS

Interconnectedness of the three subsystems underlines the need to act on the entire system of factors surrounding HIVDR in sub-Saharan Africa in order to target interventions and to prevent unwanted effects on other parts of the system. The three theories that emerged while studying HIVDR as a complex adaptive system form a starting point for further qualitative and quantitative investigation.

Qualitative systems mapping for complex public health problems: A practical guide

Systems mapping methods are increasingly used to study complex public health issues. Visualizing the causal relationships within a complex adaptive system allows for more than developing a holistic and multi-perspective overview of the situation. It is also a way of understanding the emergent, self-organizing dynamics of a system and how they can be influenced. This article describes a concrete approach for developing and analysing a systems map of a complex public health issue drawing on well-accepted methods from the field of social science while incorporating the principles of systems thinking and transdisciplinarity. Using our case study on HIV drug resistance in sub-Saharan Africa as an example, this article provides a practical guideline on how to map a public health problem as a complex adaptive system in order to uncover the drivers, feedback-loops and other dynamics behind the problem. Qualitative systems mapping can help researchers and policy makers to gain deeper insights in the root causes of the problem and identify complexity-informed intervention points.

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.

Using system thinking methodologies to address health care complexities and evidence implementation

BACKGROUND

Despite health care advances, artificial intelligence and government interventions aiming to improve the health and wellbeing of citizens, huge disparities and failures in care provision exist. This is demonstrated by the rising number of medical errors, increase in readmission rates and mortality rates, and the failure of many health systems to successfully cope with events, such as pandemics and natural disasters. This shortfall is in part because of the complexity of the health care system, the interconnectedness of various parts of service, funding models, the complexity of patients' conditions, patient and carer needs, and the clinical processes needed for patients via multiple providers.

OBJECTIVE

The objective of this paper is to describe the use of system thinking methodologies to address complex problems such as those in the public health and health services domains.

METHOD

A description of the system thinking methodology and its associated methods including causal loop diagrams, social network analysis and soft system methodology are described with examples in the health care setting.

RESULTS

There are various models of knowledge translation that have been employed including the Joanna Briggs Institute model of implementation of evidence into practice, the triple C, and the Promoting Action on Research Implementation in Health Services. However, many of these models are neither scalable nor sustainable, and are most effective for localized projects implemented by trained clinicians and champions in relevant settings.System thinking is essentially a modelling process, which aims to create opportunities for change via an appreciation of perspective, and recognition that complex problems are a result of interconnected factors. The article argues that systems thinking applications need to move beyond that of addressing complex health issues pertaining to a population, and rather consider complex problems surrounding the delivery of high-quality health care.

CONCLUSION

It is important that methods to implement systems thinking methodologies in health care settings are developed and tested.

Implementation processes in a cognitive rehabilitation intervention for people with dementia: a complexity-informed qualitative analysis

OBJECTIVES

Healthcare is often delivered through complex interventions. Understanding how to implement these successfully is important for optimising services. This article demonstrates how the complexity theory concept of 'self-organisation' can inform implementation, drawing on a process evaluation within a randomised controlled trial of the GREAT (Goal-oriented cognitive Rehabilitation in Early-stage Alzheimer's and related dementias: a multi-centre single-blind randomised controlled Trial) intervention which compared a cognitive rehabilitation intervention for people with dementia with usual treatment.

DESIGN

A process evaluation examined experiences of GREAT therapists and participants receiving the intervention, through thematic analysis of a focus group with therapists and interviews with participants and their carers. Therapy records of participants receiving the intervention were also analysed using adapted framework analysis. Analysis adopted a critical realist perspective and a deductive-inductive approach to identify patterns in how the intervention operated.

SETTING

The GREAT intervention was delivered through home visits by therapists, in eight regions in the UK.

PARTICIPANTS

Six therapists took part in a focus group, interviews were conducted with 25 participants and 26 carers, and therapy logs for 50 participants were analysed.

INTERVENTION

A 16-week cognitive rehabilitation programme for people with mild-to-moderate dementia.

RESULTS

'Self-organisation' of the intervention occurred through adaptations made by therapists. Adaptations included simplifying the intervention for people with greater cognitive impairment, and extending it to meet additional needs. Relational work by therapists produced an emergent outcome of 'social support'. Self-organised aspects of the intervention were less visible than formal components, but were important aspects of how it operated during the trial. This understanding can help to inform future implementation.

CONCLUSIONS

Researchers are increasingly adopting complexity theory to understand interventions. This study extends the application of complexity theory by demonstrating how 'self-organisation' was a useful concept for understanding aspects of the intervention that would have been missed by focusing on formal intervention components. Analysis of self-organisation could enhance future process evaluations and implementation studies.

TRIAL REGISTRATION NUMBER

ISRCTN21027481.

Systems thinking and complexity science methods and the policy process in non-communicable disease prevention: a systematic scoping review protocol

INTRODUCTION

Given the complex causal origins of many non-communicable diseases (NCDs), and the complex landscapes in which policies designed to tackle them are made and unfold, the need for systems thinking and complexity science (STCS) in developing effective policy solutions has been emphasised. While numerous methods informed by STCS have been applied to the policy process in NCD prevention, these applications have not been systematically catalogued. The aim of this scoping review is to identify existing applications of methods informed by STCS to the policy process for NCD prevention, documenting which domains of the policy process they have been applied to.

METHODS AND ANALYSIS

A systematic scoping review methodology will be used.

IDENTIFICATION

We will search Medline, SCOPUS, Embase and Web of Science using search terms combining STCS, NCD prevention and the policy process. All records published in English will be eligible for inclusion, regardless of study design.

SELECTION

We will screen titles and abstracts and extract data according to published guidelines for scoping reviews. In order to determine the quality of the included studies, we will use the approach developed by Dixon-Woods et al, excluding studies identified as fatally flawed, and determining the credibility and contribution of included studies.

SYNTHESIS

We will identify relevant studies, summarising key data from each study and mapping applications of methods informed by STCS to different parts of the policy process. Review findings will provide a useful reference for policy-makers, outlining which domains of the policy process different methods have been applied to.

ETHICS AND DISSEMINATION

Formal ethical approval is not required, as the study does not involve primary data collection. The findings of this study will be disseminated through a peer-reviewed publication, presentations and summaries for key stakeholders.

From Understanding to Impactful Action: Systems Thinking for Systems Change in Chronic Disease Prevention Research

Within the field of chronic disease prevention, research efforts have moved to better understand, describe, and address the complex drivers of various health conditions. Change-making is prominent in this paper, and systems thinking and systems change are prioritised as core elements of prevention research. We report how the process of developing a theory of systems change can assist prevention research to progress from understanding systems, towards impactful action within those systems. Based on Foster-Fishman and Watson’s ABLe change framework, a Prevention Systems Change Framework (PSCF) was adapted and applied to an Australian case study of the drivers of healthy and equitable eating as a structured reflective practice. The PSCF comprises four components: building a systemic lens on prevention, holding a continual implementation focus, integrating the systemic lens and implementation focus, and developing a theory of change. Application of the framework as part of a systemic evaluation process enabled a detailed and critical assessment of the healthy and equitable eating project goals and culminated in the development of a theory of prevention systems change specific to that project, to guide future research and action. Arguably, if prevention research is to support improved health outcomes, it must be more explicitly linked to creating systems change.

Use of complexity theory in health and social care: a scoping review protocol

INTRODUCTION

Despite the use of a wide variety of improvement tools and approaches, healthcare organisations continue to struggle in several key areas. Complexity-informed approaches have the potential to offer health and social care a new paradigm for understanding, designing, implementing and evaluating solutions, yet so far has failed to gain the traction anticipated some years ago. There is a growing need for high quality syntheses of the existing knowledge base in this area and given the diversity of theory and approaches, a scoping review is the best approach to curate this knowledge.

METHODS

A scoping review of relevant literature from January 2000 to present, using the refined Arksey and O'Malley six-stage framework will be conducted. This protocol will follow the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols Extension for Scoping Reviews. A three-step search strategy will be used. An initial search of databases will be undertaken to identify key search terms followed by an analysis of retrieved papers title and abstract text words, and of index terms used to describe the articles. A second search using all identified keywords and index terms will then be undertaken across all included databases. Third, the reference lists of identified reports and articles will be searched. Authors of primary articles will be contacted and a search for grey material performed. Finally, a complete search strategy of one major database will be included.

ETHICS AND DISSEMINATION

As this is a scoping review, ethical approval is not required. The results of the scoping review will be published in a peer-reviewed journal and presented at national and international conferences and will guide a large research project investigating teamwork. All data will be stored in accordance with best General Data Protection Regulation practice.

REGISTRATION

This scoping review protocol has been registered with Open Science Framework.

An Assessment of Individuals’ Systems Thinking Skills via Immersive Virtual Reality Complex System Scenarios

This study utilized the application of authentic Virtual Reality (VR) to replicate the real-world complex system scenarios of a large retail supply chain. The proposed VR scenarios were developed based on an established systems thinking instrument that consists of seven dimensions: level of complexity, independence, interaction, change, uncertainty, systems’ worldview, and flexibility. However, in this study, we only developed the VR scenarios for the first dimension, level of complexity, to assess an individual’s Systems Thinking Skills (STS) when he or she engages in a turbulent virtual environment. The main objective of this study was to compare a student’s STS when using traditional ST instruments versus VR scenarios for the complexity dimension. The secondary aim was to investigate the efficacy of VR scenarios utilizing three measurements: Simulation Sickness Questionnaire (SSQ), System Usability Scale (SUS), and Presence Questionnaire (PQ). In addition to the three measures, NASA TLX assessment was also performed to assess the perceived workload with regards to performing the tasks in VR scenarios. The results show students’ preferences in the VR scenarios are not significantly different from their responses obtained using the traditional systems skills instrument. The efficacy measures confirmed that the developed VR scenarios are user friendly and lie in an acceptable region for users. Finally, the overall NASA TLX score suggests that users require 36% perceived work effort to perform the activities in VR scenarios.

The Crossovers and Connectivity between Systems Engineering and the Sustainable Development Goals: A Scoping Study

The United Nation’s sustainable development goals (SDGs) are interconnected and indivisible and need to be addressed in a systematic and holistic way. However, a lack of stakeholder perspective, fragmented responses, and a dearth of integration across sectors have long been perceived as the SDGs’ main pitfalls. In recent years, scholars are calling to address these issues by adopting a systems engineering perspective, as this approach espouses a stakeholder-focused position, embraces a holistic and dynamic mindset, and provides a variety of technical and managerial toolkits, which can help to untangle the complexity and interactions inherent in global sustainability. Nevertheless, little has been done to map the existing literature, comprehensively review, and synthesize research evidence in this field. Therefore, this paper aims to conduct a scoping study that analyzes the extant evidence to uncover the contributions of systems engineering in advancing the SDGs. A three-phase methodology integrating natural language processing and systematic literature review is used to investigate this space. We conclude that systems engineering has been an active catalyst promoting the SDGs, and that systems engineering has the potential to support more transdisciplinary research to achieve long-term transformational and sustainable change across sectors and disciplines.

What have we learned about positive changes experienced during COVID-19 lockdown? Evidence of the social patterning of change

Background

Multiple studies have highlighted the negative impact of COVID-19 and its particular effects on vulnerable sub-populations. Complementing this work, here, we report on the social patterning of self-reported positive changes experienced during COVID-19 national lockdown in Scotland.

Methods

The CATALYST study collected data from 3342 adults in Scotland during weeks 9–12 of a national lockdown. Using a cross-sectional design, participants completed an online questionnaire providing data on key sociodemographic and health variables, and completed a measure of positive change. The positive change measure spanned diverse domains (e.g., more quality time with family, developing new hobbies, more physical activity, and better quality of sleep). We used univariate analysis and stepwise regression to examine the contribution of a range of sociodemographic factors (e.g., age, gender, ethnicity, educational attainment, and employment status) in explaining positive change.

Results

There were clear sociodemographic differences across positive change scores. Those reporting higher levels of positive change were female, from younger age groups, married or living with their partner, employed, and in better health.

Conclusion

Overall our results highlight the social patterning of positive changes during lockdown in Scotland. These findings begin to illuminate the complexity of the unanticipated effects of national lockdown and will be used to support future intervention development work sharing lessons learned from lockdown to increase positive health change amongst those who may benefit.

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.

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.

A complex dynamical systems approach to the development of feeding problems in early childhood

Though it is commonly agreed upon that the development of feeding problems in early childhood is a complex process, much of the research on these problems has a component-oriented focus, and very little attention is paid to the mechanisms that lead to these kinds of problems in individual children. The aim of this theoretical paper is to interpret the development of feeding problems in early childhood from a complex dynamical systems viewpoint. In addition to its focus on self-organization and nonlinearity, this approach defines several central properties of development: soft-assembly, embodiment, iterativity, the emergence of higher-order properties, and intra-individual variability. In this paper, I argue that each of these properties is highly relevant for understanding feeding problems and discuss the implications of this for both clinical practice and research purposes.

Development and Validation of the Systems Thinking Scale

PURPOSE

Systems thinking is the ability to recognize and synthesize patterns, interactions, and interdependencies in a set of activities and is a key component in quality and safety. A measure of systems thinking is needed to advance our understanding of the mechanisms that contribute to improvement efforts. The purpose of this study was to develop and conduct psychometric testing of a systems thinking scale (STS).

METHODS

The development of the STS included obtaining national quality and safety experts' conceptual domains of systems thinking and the generation of a provisional set of items. Further psychometric analyses were conducted with interprofessional healthcare faculty (N = 342) and students (N = 224) engaged in quality improvement initiatives and education.

RESULTS

Of the 26 items identified in the development phase, factor analyses indicated three factors: (1) system thinking (20 items), (2) personal effort (2 items), and (3) reliance on authority (4 items). The six items from factors 2 and 3 were omitted due to low factor loadings. Test-retest reliability of the 20-item STS was performed on 36 healthcare professionals and a correlation of 0.74 was found. Internal consistency testing on a sample of 342 healthcare professionals using Cronbach's alpha showed a coefficient of 0.89. Discriminant validity was confirmed with three groups of healthcare professions students (N = 102) who received high, low, or no dose levels of systems thinking education in the context of process improvement.

CONCLUSIONS

The 20-item STS is a valid and reliable instrument that is easy to administer and takes less than 10 min to complete. Further research using the STS has the potential to advance the science and education of quality improvement in two main ways: (1) increase understanding of a critical mechanism by which quality improvement processes achieve results, and (2) evaluate the effectiveness of our education to improve systems thinking.

Moving towards culturally competent health systems for migrants? Applying systems thinking in a qualitative study in Malaysia and Thailand

Background

Cultural competency describes interventions that aim to improve accessibility and effectiveness of health services for people from ethnic minority backgrounds. Interventions include interpreter services, migrant peer educators and health worker training to provide culturally competent care. Very few studies have focussed on cultural competency for migrant service use in Low- and Middle-Income Countries (LMIC). Migrants and refugees in Thailand and Malaysia report difficulties in accessing health systems and discrimination by service providers. In this paper we describe stakeholder perceptions of migrants’ and health workers’ language and cultural competency, and how this affects migrant workers’ health, especially in Malaysia where an interpreter system has not yet been formalised.

Method

We conducted in-depth interviews with stakeholders in Malaysia (N = 44) and Thailand (N = 50), alongside policy document review in both countries. Data were analysed thematically. Results informed development of Systems Thinking diagrams hypothesizing potential intervention points to improve cultural competency, namely via addressing language barriers.

Results

Language ability was a core tenet of cultural competency as described by participants in both countries. Malay was perceived to be an easy language that migrants could learn quickly, with perceived proficiency differing by source country and length of stay in Malaysia. Language barriers were a source of frustration for both migrants and health workers, which compounded communication of complex conditions including mental health as well as obtaining informed consent from migrant patients. Health workers in Malaysia used strategies including google translate and hand gestures to communicate, while migrant patients were encouraged to bring friends to act as informal interpreters during consultations. Current health services are not migrant friendly, which deters use. Concerns around overuse of services by non-citizens among the domestic population may partly explain the lack of policy support for cultural competency in Malaysia. Service provision for migrants in Thailand was more culturally sensitive as formal interpreters, known as Migrant Health Workers (MHW), could be hired in public facilities, as well as Migrant Health Volunteers (MHV) who provide basic health education in communities.

Conclusion

Perceptions of overuse by migrants in a health system acts as a barrier against system or institutional level improvements for cultural competency, in an already stretched health system. At the micro-level, language interventions with migrant workers appear to be the most feasible leverage point but raises the question of who should bear responsibility for cost and provision—employers, the government, or migrants themselves.