Measures that matter should define accountability and governance frameworks

While the Royal Commission into Aged Care Quality and Safety has clearly identified the issues with our Australian residential aged care system, its recommendations-so far-have not been translated into policies that will ensure a framework in which nursing home operators and care staff are empowered to focus on what matters-ensuring vulnerable residents receive care that meets their needs and preserves their dignity. For this to be achievable the system requires measures that in the first instance reflect the system's purpose, and that all stakeholders can use to improve care. Such measures need to be easy to understand and implement, and most importantly reduce bureaucratic burden.

Complex adaptive organisations: How three-dimensional visualisations can help to understand their structures and behaviours

Many organisations struggle to achieve their true potential. In part it is a problem of organisational design, which is an outcome of a particularly common-command and control-leadership philosophy. The traditional linear hierarchical structure of organisations suggests that all knowledge and power concentrates at the top organisational layer, and that people in the lower layers need to be told what to do and when. These arrangements disempower people at the lower level, preventing them from providing the necessary feedback to pre-emptively address emerging concerns. Systems and complexity thinking provide different ways of understanding organisations and their complex adaptive behaviours. In this paper, we first describe the key characteristics of complex adaptive organisations-their structure and dynamic behaviours-and then propose a three-dimensional visualisation of a complex adaptive organisation that allows its members to clearly see and appreciate its interdependencies.

Is society caught up in a Death Spiral? Modeling societal demise and its reversal

Just like an army of ants caught in an ant mill, individuals, groups and even whole societies are sometimes caught up in a Death Spiral, a vicious cycle of self-reinforcing dysfunctional behavior characterized by continuous flawed decision making, myopic single-minded focus on one (set of) solution(s), denial, distrust, micromanagement, dogmatic thinking and learned helplessness. We propose the term Death Spiral Effect to describe this difficult-to-break downward spiral of societal decline. Specifically, in the current theory-building review we aim to: (a) more clearly define and describe the Death Spiral Effect; (b) model the downward spiral of societal decline as well as an upward spiral; (c) describe how and why individuals, groups and even society at large might be caught up in a Death Spiral; and (d) offer a positive way forward in terms of evidence-based solutions to escape the Death Spiral Effect. Management theory hints on the occurrence of this phenomenon and offers turn-around leadership as solution. On a societal level strengthening of democracy may be important. Prior research indicates that historically, two key factors trigger this type of societal decline: rising inequalities creating an upper layer of elites and a lower layer of masses; and dwindling (access to) resources. Historical key markers of societal decline are a steep increase in inequalities, government overreach, over-integration (interdependencies in networks) and a rapidly decreasing trust in institutions and resulting collapse of legitimacy. Important issues that we aim to shed light on are the behavioral underpinnings of decline, as well as the question if and how societal decline can be reversed. We explore the extension of these theories from the company/organization level to the society level, and make use of insights from both micro-, meso-, and macro-level theories (e.g., Complex Adaptive Systems and collapsology, the study of the risks of collapse of industrial civilization) to explain this process of societal demise. Our review furthermore draws on theories such as Social Safety Theory, Conservation of Resources Theory, and management theories that describe the decline and fall of groups, companies and societies, as well as offer ways to reverse this trend.

Four System Enablers of Large-System Transformation in Health Care: A Mixed Methods Realist Evaluation

Policy Points The implementation of large-scale health care interventions relies on a shared vision, commitment to change, coordination across sites, and a spanning of siloed knowledge. Enablers of the system should include building an authorizing environment; providing relevant, meaningful, transparent, and timely data; designating and distributing leadership and decision making; and fostering the emergence of a learning culture. Attention to these four enablers can set up a positive feedback loop to foster positive change that can protect against the loss of key staff, the presence of lone disruptors, and the enervating effects of uncertainty.

CONTEXT

Large-scale transformative initiatives have the potential to improve the quality, efficiency, and safety of health care. However, change is expensive, complex, and difficult to implement and sustain. This paper advances system enablers, which will help to guide large-scale transformation in health care systems.

METHODS

A realist study of the implementation of a value-based health care program between 2017 and 2021 was undertaken in every public hospital (n = 221) in New South Wales (NSW), Australia. Four data sources were used to elucidate initial program theories beginning with a set of literature reviews, a program document review, and informal discussions with key stakeholders. Semistructured interviews were then conducted with 56 stakeholders to confirm, refute, or refine the theories. A retroductive analysis produced a series of context-mechanism-outcome (CMO) statements. Next, the CMOs were validated with three health care quality expert panels (n = 51). Synthesized data were interrogated to distill the overarching system enablers.

FINDINGS

Forty-two CMO statements from the eight initial program theory areas were developed, refined, and validated. Four system enablers were identified: (1) build an authorizing environment; (2) provide relevant, authentic, timely, and meaningful data; (3) designate and distribute leadership and decision making; and (4) support the emergence of a learning culture. The system enablers provide a nuanced understanding of large-system transformation that illustrates when, for whom, and in what circumstances large-system transformation worked well or worked poorly.

CONCLUSIONS

System enablers offer nuanced guidance for the implementation of large-scale health care interventions. The four enablers may be portable to similar contexts and provide the empirical basis for an implementation model of large-system value-based health care initiatives. With concerted application, these findings can pave the way not just for a better understanding of greater or lesser success in intervening in health care settings but ultimately to contribute higher quality, higher value, and safer care.

Evolution of the polycrisis: Anthropocene traps that challenge global sustainability

The Anthropocene is characterized by accelerating change and global challenges of increasing complexity. Inspired by what some have called a polycrisis, we explore whether the human trajectory of increasing complexity and influence on the Earth system could become a form of trap for humanity. Based on an adaptation of the evolutionary traps concept to a global human context, we present results from a participatory mapping. We identify 14 traps and categorize them as either global, technology or structural traps. An assessment reveals that 12 traps (86%) could be in an advanced phase of trapping with high risk of hard-to-reverse lock-ins and growing risks of negative impacts on human well-being. Ten traps (71%) currently see growing trends in their indicators. Revealing the systemic nature of the polycrisis, we assess that Anthropocene traps often interact reinforcingly (45% of pairwise interactions), and rarely in a dampening fashion (3%). We end by discussing capacities that will be important for navigating these systemic challenges in pursuit of global sustainability. Doing so, we introduce evolvability as a unifying concept for such research between the sustainability and evolutionary sciences. This article is part of the theme issue 'Evolution and sustainability: gathering the strands for an Anthropocene synthesis'.

Responsiveness of a rural Aboriginal community controlled health organisation: A qualitative study

INTRODUCTION

Responsiveness of health care systems is a global concept defined as the ability of systems to function in a manner that meets the expectations of individuals, and is under-studied. In Australia, Aboriginal Community Controlled Health Organisations (ACCHOs) are valued by Aboriginal and Torres Strait Islander Peoples for the provision of holistic culturally safe primary health care and are well positioned to be responsive to community needs.

OBJECTIVE

To develop a conceptual framework examining the responsiveness of a rural ACCHO to the health care needs of Aboriginal and Torres Strait Islander Peoples in their service region.

DESIGN

A qualitative interview study using abductive reasoning was conducted. Interviews conducted with Aboriginal clients, key informants, and ACCHO health personnel from two evaluations undertaken in partnership with a rural ACCHO located in Victoria, Australia, were analysed through an iterative process of identifying key concepts from the data and evidence. Key concepts were used to develop a conceptual framework.

FINDINGS

Across the two evaluations, 22 participants were involved in data collection and 28 interviews were undertaken. A conceptual framework examining the responsiveness of a rural ACCHO to the health care needs of Aboriginal Peoples within their service region was developed and encompassed three concepts: operating within a complex adaptive system, mechanisms of responsiveness used by the ACCHO, and challenges experienced by the ACCHO when being responsive.

DISCUSSION

The developed conceptual framework expands on research supporting the value of ACCHOs in providing holistic culturally safe health care to their communities, particularly in rural settings. A key finding is the importance for ACCHOs to meet the health care needs of their community whilst navigating needs in the context of the broader health care system. When dissonance is encountered between external system components and community needs, challenges can be experienced such as adequately resourcing models of service delivery and maintaining the provision of services.

CONCLUSION

Conceptualising the health care system as a complex adaptive system in which an ACCHO operates and is responsive, highlights the competing demands experienced. Findings expand on mechanisms of responsiveness used at the service-user interface. Future research should examine how the broader health care system can support the role and functions of ACCHOs in being responsive to the health care needs of their communities.

Biological systems - "Symphonies of Life": Reviving Friedrich Cramer's general resonance theory

Understanding biological systems in terms of scientific materialism has arguably reached a frontier, leaving fundamental questions about their complexity unanswered. In 1998, Friedrich Cramer proposed a general resonance theory as a way forward. His theory builds on the extension of the quantum physical duality of matter and wave to the macroscopic world. According to Cramer' theory, agents constituting biological systems oscillate, akin to musical soundwaves, at specific eigenfrequencies. Biological system dynamics can be described as "Symphonies of Life" emerging from the resonance (and dissonance) of eigenfrequencies within the interacting collective. His theory has potential for studying biological problems of increasing complexity in a fast-changing Anthropocene from a new and transdisciplinary angle. Despite data becoming increasingly available for analyses, Cramer's theory remains ignored and therefore untested a quarter century after its publication. This paper discusses how the theory can move to quantitative assessments and application. Cramer's general resonance theory deserves revival.

Reconceptualising knowledge in the athlete-coach learning system: a mixed-method case study of harnessing bi-directional self-organising tendencies with a national wheelchair rugby league team

Knowledge and knowledge transfer are often viewed in unitary and hierarchical terms, where a linear transaction exists between an individual possessing a body of knowledge and a person needing that knowledge. Although this traditional view of knowledge transfer is common within the sports domain, it is problematic because knowledge is treated as a self-contained entity. The overarching purpose of this study is to explore the ecological role of knowledge, underpinning performance preparation processes in an international coaching setting. Specifically, we investigated how bi-directional self-organising (coordination) tendencies (coach and athlete-led) can be exploited to facilitate the formation of attacking synergies within the team sport of wheelchair rugby league. A mixed-method case study approach was employed to collect data, involving semi-structured interviews, reflexive observations and field notes, and notational analysis. Results from the study described the transitional process of positioning an ecological view of knowledge transfer as a guiding principle to enhance athlete and practitioner collaboration. This reciprocal relationship provided documented opportunities to enhance on- and off-field team synergies. The pedagogical experiences we describe emerged throughout periods of uncertainty, requiring effortful interactions, forged on the continuous coupling of key agents (individuals), content, and context, enabling application, refinement, and opportunities for team synergies to evolve in performance preparation. Results suggested that the challenge of understanding and facilitating knowledge transfer could be embedded within the ecology of a complex adaptive system, sustained as a contextualised activity reciprocally constructed through on-going correspondence between athletes, scientists, practitioners, and the competitive performance context.

Health System Transformation Playbook and Unified Care Model: an integrated design, systems & complexity thinking approach to health system transformation

Health system transformation is a complex journey that often results in unintended consequences. Existing methods to drive health system transformation have intrinsic limitations which impede successful implementation in local contexts. The Health System Transformation Playbook is a design-, systems-, and complexity-thinking enabled methodology to systematically design, prioritize and test health system and services transformation actions, anchored on iterative story telling, model building and pathfinding processes that tackles the scale of socially and technologically complex adaptive systems through time. The Unified Care Model and its associated cascade of models are examples of ongoing application of Health System Transformation Playbook in a regional population health system in Singapore. Use of Health System Transformation Playbook enables stewards of health systems to gain a more systematic and coherent understanding of health systems and services planning and organization development, to accelerate transformation towards people-centered, integrated and value-driven health systems.

Health System-Level Barriers to Living Donor Kidney Transplantation: Protocol for a Comparative Case Study Analysis

BACKGROUND

Living donor kidney transplantation (LDKT) is the best treatment option for patients with kidney failure and offers significant medical and economic advantages for both patients and health systems. Despite this, rates of LDKT in Canada have stagnated and vary significantly across Canadian provinces, the reasons for which are not well understood. Our prior work has suggested that system-level factors may be contributing to these differences. Identifying these factors can help inform system-level interventions to increase LDKT.

OBJECTIVE

Our objective is to generate a systemic interpretation of LDKT delivery across provincial health systems with variable performance. We aim to identify the attributes and processes that facilitate the delivery of LDKT to patients, and those that create barriers and compare these across systems with variable performance. These objectives are contextualized within our broader goal of increasing rates of LDKT in Canada, particularly in lower-performing provinces.

METHODS

This research takes the form of a qualitative comparative case study analysis of 3 provincial health systems in Canada that have high, moderate, and low rates of LDKT performance (the percentage of LDKT to all kidney transplantations performed). Our approach is underpinned by an understanding of health systems as complex adaptive systems that are multilevel and interconnected, and involve nonlinear interactions between people and organizations, operating within a loosely bounded network. Data collection will comprise semistructured interviews, document reviews, and focus groups. Individual case studies will be conducted and analyzed using inductive thematic analysis. Following this, our comparative analysis will operationalize resource-based theory to compare case study data and generate explanations for our research question.

RESULTS

This project was funded from 2020 to 2023. Individual case studies were carried out between November 2020 and August 2022. The comparative case analysis will begin in December 2022 and is expected to conclude in April 2023. Submission of the publication is projected for June 2023.

CONCLUSIONS

By investigating health systems as complex adaptive systems and making comparisons across provinces, this study will identify how health systems can improve the delivery of LDKT to patients with kidney failure. Our resource-based theory framework will provide a granular analysis of the attributes and processes that facilitate or create barriers to LDKT delivery across multiple organizations and levels of practice. Our findings will have practice and policy implications and help inform transferrable competencies and system-level interventions conducive to increasing LDKT.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/44172.

Living Donor Kidney Transplantation in Quebec: A Qualitative Case Study of Health System Barriers and Facilitators

Background

Patients with kidney failure represent a major public health burden, and living donor kidney transplantation (LDKT) is the best treatment option for these patients. Current work to optimize LDKT delivery to patients has focused on microlevel interventions and has not addressed interdependencies with meso and macro levels of practice.

Objective

We aimed to learn from a health system with historically low LDKT performance to identify facilitators and barriers to LDKT. Our specific aims were to understand how LDKT delivery is organized through interacting macro, meso, and micro levels of practice and identify what attributes and processes of this health system facilitate the delivery of LDKT to patients with kidney failure and what creates barriers.

Design

We conducted a qualitative case study, applying a complex adaptive systems approach to LDKT delivery, that recognizes health systems as being made up of dynamic, nested, and interconnected levels, with the patient at its core.

Setting

The setting for this case study was the province of Quebec, Canada.

Participants

Thirty-two key stakeholders from all levels of the health system. This included health care professionals, leaders in LDKT governance, living kidney donors, and kidney recipients.

Methods

Semi-structured interviews with 32 key stakeholders and a document review were undertaken between February 2021 and December 2021. Inductive thematic analysis was used to generate themes.

Results

Overall, we identified strong links between system attributes and processes and LDKT delivery, and more barriers than facilitators were discerned. Barriers that undermined access to LDKT included fragmented LDKT governance and expertise, disconnected care practices, limited resources, and regional inequities. Some were mitigated to an extent by the intervention of a program launched in 2018 to increase LDKT. Facilitators driven by the program included advocacy for LDKT from individual member(s) of the care team, dedicated resources, increased collaboration, and training opportunities that targeted LDKT delivery at multiple levels of practice.

Limitations

Delineating the borders of a "case" is a challenge in case study research, and it is possible that some perspectives may have been missed. Participants may have produced socially desirable answers.

Conclusions

Our study systematically investigated real-world practices as they operate throughout a health system. This novel approach has cross-disciplinary methodological relevance, and our findings have policy implications that can help inform multilevel interventions to improve LDKT.

Perspective: Acknowledging complexity to advance the understanding of developmental coordination disorder

Developmental Coordination Disorder (DCD) is a heterogeneous neurodevelopmental disorder known for primary symptoms of motor learning and execution difficulties. Recent research has consistently suggested DCD symptoms span broadly beyond motor difficulties, yet a majority of research and practice approaches the investigation, diagnosis, and treatment of DCD with a reductionist framework. Therefore, this paper suggests the paradigm of complexity theory as a means for better conceptualization, assessment, and treatment of DCD. First, the perspective of complexity theory and its relevance to DCD is described. Then, examples from recent research which attempt to acknowledge and capture the complex nature of DCD are highlighted. Finally, suggestions for considering and measuring complexity of DCD in future research and practice are provided. Overall, the perspective of complexity can propel the research forward and improve the understanding of DCD relevant to assessment and treatment. The complexity paradigm is highly relevant to describing the evolving and multidimensional picture of DCD, understanding heterogeneous symptom profiles, making connections to interconnected secondary symptoms, and beyond.

Yoga and pain: A mind-body complex system

Introduction

The human body's response to pain is indicative of a complex adaptive system. Therapeutic yoga potentially represents a similar complex adaptive system that could interact with the pain response system with unique benefits.

Objectives

To determine the viability of yoga as a therapy for pain and whether pain responses and/or yoga practice should be considered complex adaptive systems.

Methods

Examination through 3 different approaches, including a narrative overview of the evidence on pain responses, yoga, and complex system, followed by a network analysis of associated keywords, followed by a mapping of the functional components of complex systems, pain response, and yoga.

Results

The narrative overview provided extensive evidence of the unique efficacy of yoga as a pain therapy, as well as articulating the relevance of applying complex systems perspectives to pain and yoga interventions. The network analysis demonstrated patterns connecting pain and yoga, while complex systems topics were the most extensively connected to the studies as a whole.

Conclusion

All three approaches support considering yoga a complex adaptive system that exhibits unique benefits as a pain management system. These findings have implications for treating chronic, pervasive pain with behavioral medicine as a systemic intervention. Approaching yoga as complex system suggests the need for research of mind-body topics that focuses on long-term systemic changes rather than short-term isolated effects.

Too much theory and not enough practice? The challenge of implementation science application in healthcare practice

BACKGROUND

Implementation science (IS) should contribute to maintaining high standards of care across healthcare systems and enhancing care practices. However, despite the evident need for greater and more rapid uptake and integration of evidence in practice, IS design and methodology fall short of the needs of effective translation.

AIM

In this paper we examine what it is about IS that makes it so appealing for effective uptake of interventions in routine practice, and yet so difficult to achieve. We propose a number of ways that implementation scientists could build mutual relationships with healthcare practitioners and other stakeholders including public members to ensure greater shared care practices, and highlight the value of IS training, collaborative educational events, and co-designed research.

DISCUSSION

More consideration should be given to IS applications in healthcare contexts. Implementation scientists can make a valuable contribution by mobilizing theory and improving practice. However, goals for an evidence-based system may be more appropriately achieved through greater outreach and collaboration, with methods that are flexible to support rapid implementation in complex adaptive systems. Collective learning and mutual trust can be cultivated by embedding researchers into healthcare services while offering greater opportunities for practitioners to learn about, and engage in, implementation research.

CONCLUSION

To bridge the worlds of healthcare practice and IS, researchers could be more consistent in the relationships they build with professionals and the public, communicating through a shared language and co-joining practical approaches to effective implementation. This will build capacity for improved collaboration and foster respectful, interdisciplinary relationships.

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.

Cardiorespiratory Coordination in Collegiate Rowing: A Network Approach to Cardiorespiratory Exercise Testing

Collegiate rowing performance is often assessed by a cardiopulmonary exercise test (CPET). Rowers' on-water performance involves non-linear dynamic interactions and synergetic reconfigurations of the cardiorespiratory system. Cardiorespiratory coordination (CRC) method measures the co-variation among cardiorespiratory variables. Novice (n = 9) vs. Intermediate (n = 9) rowers' CRC (H₀: Novice CRC = Intermediate CRC; H_A: Novice CRC < Intermediate CRC) was evaluated through principal components analysis (PCA). A female NCAA Division II team (N = 18) grouped based on their off-water performance on 6000 m time trial. Rowers completed a customized CPET to exhaustion and a variety of cardiorespiratory values were recorded. The number of principal components (PCs) and respective PC eigenvalues per group were computed on SPSS vs28. Intermediate (77%) and Novice (33%) groups showed one PC₁. Novice group formed an added PC₂ due to the shift of expired fraction of oxygen or, alternatively, heart rate/ventilation, from the PC₁ cluster of examined variables. Intermediate rowers presented a higher degree of CRC, possible due to their increased ability to utilize the bicarbonate buffering system during the CPET. CRC may be an alternative measure to assess aerobic fitness providing insights to the complex cardiorespiratory interactions involved in rowing during a CPET.

Circling the drain: the extinction crisis and the future of humanity

Humanity has triggered the sixth mass extinction episode since the beginning of the Phanerozoic. The complexity of this extinction crisis is centred on the intersection of two complex adaptive systems: human culture and ecosystem functioning, although the significance of this intersection is not properly appreciated. Human beings are part of biodiversity and elements in a global ecosystem. Civilization, and perhaps even the fate of our species, is utterly dependent on that ecosystem's proper functioning, which society is increasingly degrading. The crisis seems rooted in three factors. First, relatively few people globally are aware of its existence. Second, most people who are, and even many scientists, assume incorrectly that the problem is primarily one of the disappearance of species, when it is the existential threat of myriad population extinctions. Third, while concerned scientists know there are many individual and collective steps that must be taken to slow population extinction rates, some are not willing to advocate the one fundamental, necessary, 'simple' cure, that is, reducing the scale of the human enterprise. We argue that compassionate shrinkage of the human population by further encouraging lower birth rates while reducing both inequity and aggregate wasteful consumption-that is, an end to growthmania-will be required. This article is part of the theme issue 'Ecological complexity and the biosphere: the next 30 years'.

Food Security and Nutrition as the Neglected Missing Links in Cultural Evolution: The Role of the Sociotype

Food security and nutrition were major drivers of cultural evolution by enabling sociotypic development and communal living after the Neolithic agricultural revolution some 12,000 years ago. The sociotype unites concepts from the sciences and the humanities; in concert with the genotype it determines an individual's phenotype (observable traits and behavior), and together they advance societal culture. As such, the sociotype relates to an individual's dynamic interactions with the surrounding social environment throughout life and comprises three domains: the Individual, Relationships, and Context. Nutrition affects each domain, respectively, by ensuring the following dimensions of food security: utilization (metabolic fuel and health); accessibility (physical and economic); and availability (the right to nutritious food for all citizens). The sociotype is influenced by multiple factors, including diet-gene interactions, allostasis, microbiota, oxytocin, and culturally through mate selection, family bonds, social communication, political ideologies, and values. Food security, sociotypes, and culture form a complex adaptive system to enable coping with the circumstances of life in health and disease, to achieve sustainable development, and to eradicate hunger. The current geopolitical unrest highlights the absolutely critical role of this system for global security, yet many challenges remain in implementing this paradigm for society. Therefore, sustainable food security must be considered a fundamental human right and responsibility for safeguarding the survival and progress of the sociotypes of humankind (Homo culturus) worldwide.

A novel perspective of Australian primary care dietetics: Insights from an exploratory study using complex adaptive systems theory

Aims

Effective quality improvement strategies are essential to enhancing outcomes of dietetic care. Interventions informed by complex adaptive systems theory have demonstrated effectiveness in other healthcare settings. This study aimed to explore primary care dietetics practice using complex adaptive systems theory and to identify factors that individuals across the healthcare system can examine and address to improve the quality of dietetic care.

Methods

Qualitative analysis of semi‐structured interviews of healthcare consumers and professionals involved in the provision of dietetic care. Data collection and analysis was guided by a complexity‐informed conceptual framework. The Framework Method was used to code transcripts and identify themes describing primary care dietetics.

Results

Twenty‐three consumers and 26 primary care professionals participated. Participants described dietetic care as being delivered by individuals organised into formal and informal systems that were influenced by the wider environment, including legal, economic, and socio‐cultural systems. Dietitians described interactions with consumers as a learning opportunity and sought education, mentoring, or supervision to address knowledge and skill gaps. Relationships underpinned transfer of information between individuals.

Conclusion

Complex adaptive systems theory proved to be a useful conceptual framework for primary care dietetics. Factors identified at the macro (e.g., funding), meso (e.g., professional networks), and micro (e.g., consumer education) levels should be examined and addressed to improve the quality of dietetic care.

A Distributed Framework for the Study of Organizational Cognition in Meetings

This paper proposes an analytical framework for the analysis of organizational cognition that borrows from distributed and ecological cognition. In so doing, we take a case study featuring a decision on the topic of agreeing on a set point in the agenda of a meeting. It is through the analysis of a few minutes of video-recording used in the case that enables us to demonstrate the power of applying distributed and ecological cognition to organizing processes. Cognitive mechanism, resources, and processes are identified within this combined framework. Mechanisms are described as “socio-material” (CM1)—where “people” and “artifacts” are the related cognitive resources—and as “conceptual” (CM2)—with “group” identity, “topic” understanding, meaning of “procedures,” and perception of “time” as resources. Processes are defined as “coupling,” “de-coupling,” and “un-coupled” depending on the type of relation in place. Finally, the paper presents an agent-based computational simulation to demonstrate the potentials of operationalizing this approach.

African primary healthcare as complex adaptive system

Bureaucratic African governments need to trust their health workers and populations on the way to the Africa Agenda 2063. Small defined populations cared for by a team with an appropriate mix of healthcare workers (from public and private sectors) and delivered in a comprehensive, continuous, coordinated manner can be the complex adaptive system to deliver better PHC and health for all in Africa.

Community-oriented primary care for National Health Insurance in South Africa

This is a report on Chiawelo Community Practice (CCP) in Ward 11, Soweto, South Africa, a community-oriented primary care (COPC) model for National Health Insurance (NHI) in South Africa, developed by a family physician. A shift to capitation contracting for primary health care (PHC) under NHI will carry risk for providers – both public and private, especially higher number of patient visits. Health promotion and disease prevention, especially using a COPC model, will be important. Leading the implementation of COPC is an important role for family physicians in Africa, but global implementation of COPC is challenged. Cuba and Brazil have implemented COPC with panels of 600 and 3500, respectively. The family physician in this report has developed community practice as a model with four drivers using a complex adaptive system lens: population engagement with community health workers (CHWs), a clinic re-oriented to its community, stakeholder engagement and targeted health promotion. A team of three medical interns: 1 clinical associate, 3 nurses and 20 CHWs, supervised by the family physician, effectively manage a panel of approximately 30 000 people. This has resulted in low utilisation rates (less than one visit per person per year), high population access and satisfaction and high clinical quality. This has been despite the challenge of a reductionist PHC system, poor management support and poor public service culture. The results could be more impressive if panels are limited to 10 000, if there was a better team structure with a single doctor leading a team of 3–4 nurse/clinical associates and 10–12 CHWs and PHC provider units that are truly empowered to manage resources locally.

Advanced Practice Registered Nurse Transition to Practice in the Long-Term Care Setting: An Ethnography

Advanced practice registered nurses are successful in improving quality outcomes and filling provider care gaps in long-term care. However, little is known about the nurse’s transition to practice in this setting. A 12-month ethnography was conducted via participant-observation with nine advanced practice registered nurses in five long-term care facilities to understand practice environment influence on the nurses’ transition and on the reciprocal influence of the nurse on the practice environment. Transition was fraught with uncertainty as documented by five themes: where’s my authority, institutional acceptance, personal role fulfillment, provider relationships, and individual versus organizational care. These findings suggest that transition in this setting is complex, characterized by insecurity whether the individual is new to advanced practice or experienced. Transition in long-term care could be strengthened by formal programs that include clinical practice, reconceived mentorship for advanced practice registered nurses, and education designed to improve comfort and expertise with indirect care.

Embracing the Complexity of Primary Health Care: System-Based Tools and Strategies for Researching the Case Management Process

The provision of health care is frequently a complex process, and favourable clinical outcomes are dependent on the effective management of this complexity. Contemporary medicine and health care practices that are biomedically aligned have been informed by a reductionist paradigm, potentially creating a misalignment between health care and the human organism as a complex adaptive system. Complexity science is increasingly gaining momentum within the academic literature and is being employed across a wide range of scientific disciplines, although this is less evident in medicine. Limited evidence was found within the literature of a complexity science framework being used to explore and inform individual health care practices; in this paper, this gap will be explored through consideration of the use of strategies and tools (specifically mind maps, computer-generated network mappings, exploratory data analysis, and computer-derived network analysis) which are congruent with a complexity science framework. This information may be useful to researchers investigating health care provision and to clinicians wishing to incorporate a complexity sensibility within their practice.

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Disability Data Collection in a Complex Humanitarian Organisation: Lessons from a Realist Evaluation

In recent years, global attention to disability inclusion in humanitarian and development contexts, notably comprising disability inclusion within the Sustainable Development Goals, has significantly increased. As a result, UN agencies and programmes are increasingly seeking to understand and increase the extent to which persons with disabilities are accounted for and included in their efforts to provide life-saving assistance. To explore the effects and effectiveness of such measurement, this paper applies a complexity-informed, realist evaluation methodology to a case study of a single measurement intervention. This intervention, ‘A9’, was the first indicator designed to measure the number of persons with disabilities assisted annually by the United Nations World Food Programme (WFP). Realist logic of analysis combined with complexity theory was employed to generate context-mechanism-outcome configurations (CMOC’s) against which primary interviews and secondary data were analysed. We show that within the complexity of the WFP system, the roll-out of the A9 measurement intervention generated delayed, counter-intuitive and unanticipated effects. In turn, path dependency and emergent behaviours meant that the intervention mechanisms of yesterday were destined to become the implementation context of tomorrow. These findings challenge the current reliance on quantitative data within humanitarian-development disability inclusion efforts and contribute to our understanding of how data can best be leveraged to support inclusion in such contexts.

Continuing Professional Development through the lens of complexity science: Becoming agents of change in the healthcare system

This article was migrated. The article was marked as recommended. Healthcare improvement initiatives have not led to expected changes in patient population outcomes over the last decade. This can, in part, be explained by overly reductionist approaches in medical practice and education. This article describes some insights and experiences using a Complex Adaptive Systems approach in the conceptualisation of an in-service training program and reflections on elements that may lead to enhanced practice behaviours and system improvements.

How do patients and General Practitioners talk about pain and negotiate empathy in consultations? A direct observational study

The objective of this qualitative study in New Zealand was to investigate how general practitioners and patients discuss chronic pain in consultations. Chronic pain is a complex condition that defies many commonsense understandings. It is challenging to manage and patients can come to conclude that there is an empathy deficit. To our knowledge most, if not all, studies on this topic have recruited participants whose main presenting complaint is chronic pain. Forms of chronic pain are relatively common in the population and we thought it likely that at least some discussions may be rendered invisible via these recruiting practices. The study analysed data from the Applied Research on Communication in Health repository of audio transcripts and video-recorded consultations collected from a range of studies on a variety of topics, none of which were about chronic pain specifically. We searched the 256 transcripts looking for key words that might indicate that pain was at least part of the consultation. This yielded a large number of potentially relevant transcripts. These transcripts were assessed and reduced to 18 by excluding those that were about non-physical pain or pain that was expected to resolve relatively quickly. A medical specialist in chronic pain reviewed the resulting 18 and excluded two further transcripts giving us a final sample of 16. We conducted in-depth analysis of these consultations. Rather than confirming an empathy deficit, we found a much more complex deployment of empathy in the space where the two complex systems of chronic pain and general practice meet. These findings highlight the utility of analysing data originally generated for other purposes, with permission, and in a practical sense, highlight the importance of understanding empathy as highly contextual in 'real world' practice.

Co-Creation Approach with Action-Oriented Research Methods to Strengthen "Krachtvoer"; A School-Based Programme to Enhance Healthy Nutrition in Adolescents

In recent years, the nutritional pattern of the Dutch adolescent has cautiously improved. However, progress can be gained if more Dutch adolescents adhere to the nutritional guidelines. School-based initiatives offer opportunities to deal with the unhealthy eating behaviours of adolescents via nutrition educational interventions. In designing and/or re-designing school-based interventions, it is important to enhance optimal context-oriented implementation adaptation by involving the complex adaptive school system. This paper elaborates on the way of dealing with the dynamic implementation context of the educational programme "Krachtvoer" (ENG: "Power food") for prevocational schools, how the programme can be adapted to each unique implementation context, and how the programme can be progressively kept up to date. Following a co-creation-guided approach with various intersectoral stakeholders within and outside the school setting, action-oriented mixed research methods (i.e., observations, semi-structured interviews, focus group interviews, programme usage monitoring, and questionnaires) constantly provide input to develop the programme and its implementation strategy via continuous micro-process cycles. Successful co-creation of school-based health promotion seems to be dependent on proper intersectoral cooperation between research and practice communities, a national partner network that can provide project-relevant insights and establish capacity building aimed at improving contextual fit, and a time-investment balance in and between sectors.

An Active Inference Model of Collective Intelligence

Collective intelligence, an emergent phenomenon in which a composite system of multiple interacting agents performs at levels greater than the sum of its parts, has long compelled research efforts in social and behavioral sciences. To date, however, formal models of collective intelligence have lacked a plausible mathematical description of the relationship between local-scale interactions between autonomous sub-system components (individuals) and global-scale behavior of the composite system (the collective). In this paper we use the Active Inference Formulation (AIF), a framework for explaining the behavior of any non-equilibrium steady state system at any scale, to posit a minimal agent-based model that simulates the relationship between local individual-level interaction and collective intelligence. We explore the effects of providing baseline AIF agents (Model 1) with specific cognitive capabilities: Theory of Mind (Model 2), Goal Alignment (Model 3), and Theory of Mind with Goal Alignment (Model 4). These stepwise transitions in sophistication of cognitive ability are motivated by the types of advancements plausibly required for an AIF agent to persist and flourish in an environment populated by other highly autonomous AIF agents, and have also recently been shown to map naturally to canonical steps in human cognitive ability. Illustrative results show that stepwise cognitive transitions increase system performance by providing complementary mechanisms for alignment between agents’ local and global optima. Alignment emerges endogenously from the dynamics of interacting AIF agents themselves, rather than being imposed exogenously by incentives to agents’ behaviors (contra existing computational models of collective intelligence) or top-down priors for collective behavior (contra existing multiscale simulations of AIF). These results shed light on the types of generic information-theoretic patterns conducive to collective intelligence in human and other complex adaptive systems.

Measuring fundamental care using complexity science: A descriptive case study of a methodological innovation

AIMS AND OBJECTIVES

This paper presents an exploratory account of an innovative methodology to record and evaluate fundamental care. Fundamental care is defined as the care required by everyone for survival, health and welfare.

BACKGROUND

Fundamental care has been informed by the development and testing of the Fundamentals of Care Framework, which describes how fundamental care is complex and multidimensional, and consists of three interrelated dimensions and 38 elements. This accords with a broader re-examination of care provision as part of a complex adaptive system in which existing linear models of cause and effect are inadequate to describe the totality of activity.

DESIGN

Informed by graph theory and complexity science, this paper presents a novel methodological innovation. It uses the Fundamentals of Care Framework to create a Matrix to quantify the relationships between different elements within the Framework.

METHODS

We use a Matrix methodology to process care recipient narratives to generate three outputs: a heat map, a summary table and a network analysis.

CONCLUSIONS

The three outputs serve to quantify and evaluate fundamental care in a multidimensional manner. They capture different perspectives (care recipients and their families, direct care providers and care managers) to improve care outcomes. The future aim is to advance this exploration into digitalising and operationalising the Matrix in a user-friendly manner for it to become a real-time mechanism to evaluate and potentially predict patterns of fundamental care.

The Action Scales Model: A conceptual tool to identify key points for action within complex adaptive systems

BACKGROUND

Systems thinking is integral to working effectively within complex systems, such as those which drive the current population levels of overweight and obesity. It is increasingly recognised that a systems approach - which corrals public, private, voluntary and community sector organisations to make their actions and efforts coherent - is necessary to address the complex drivers of obesity. Identifying, implementing and evaluating actions within complex adaptive systems is challenging, and may differ from previous approaches used in public health.

METHODS

Within this conceptual article, we present the Action Scales Model (ASM). The ASM is a simple tool to help policymakers, practitioners and evaluators to conceptualise, identify and appraise actions within complex adaptive systems. We developed this model using our collective expertise and experience in working with local government authority stakeholders on the Public Health England Whole Systems Obesity programme. It aligns with, and expands upon, previous models such as the Intervention Level Framework, the Iceberg Model and Donella Meadows' 12 places to intervene within a system.

RESULTS

The ASM describes four levels (synonymous with leverage points) to intervene within a system, with deeper levels providing greater potential for changing how the system functions. Levels include events, structures, goals and beliefs. We also present how the ASM can be used to support practice and policy, and finish by highlighting its utility as an evaluative aid.

DISCUSSION

This practical tool was designed to support those working at the front line of systems change efforts, and while we use the population prevalence of obesity as an outcome of a complex adaptive system, the ASM and the associated principles can be applied to other issues. We hope that the ASM encourages people to think differently about the systems that they work within and to identify new and potentially more impactful opportunities to leverage change.

Health and Disease Are Dynamic Complex-Adaptive States Implications for Practice and Research

Interoception, the ability to convey one's overall physiological state, allows people to describe their health along an experiential continuum, from excellent, very good, good, fair to poor. Each health state reflects a distinct pattern of one's overall function. This assay provides a new frame of understanding health and disease as complex-adaptive system states of the person as-a-whole. It firstly describes how complex patterns can emerge from simple equations. It then discusses how clinical medicine in certain domains has started to explore the pattern characteristics resulting in the heterogeneity of disease, and how this better understanding has improved patient management. The experiential state of health can be surprising to the observer-some are in good health with disabling disease, others are in poor health without the evidence of any. The main part of the assay describes the underlying complexity principles that contribute to health, and synthesizes available evidence from various research perspectives to support the philosophic/theoretical proposition of the complex-adaptive nature of health. It shows how health states arise from complex-adaptive system dynamics amongst the variables of a hierarchically layered system comprising the domains of a person's macro-level external environment to his nano-level biological blueprint. The final part suggests that the frame of health as a dynamic complex-adaptive state defines a new paradigm, and outlines ways of translating these expanded understandings to clinical practice, future research, and health system design.

Engaging with Uncertainty and Complexity: A Secondary Analysis of Primary Care Responses to Intimate Partner Violence

Complex problems generate uncertainty. The number and diversity of interactions between different health professionals, perspectives, and components of the problem makes predicting an outcome impossible. In effort to reduce the uncertainty of intimate partner violence interventions, health systems have developed standardized guidelines and protocols. This paper presents a secondary analysis of 17 New Zealand primary care professional narratives on intimate partner violence as a health issue. We conducted a complexity-informed content analysis of participant narratives to explore uncertainty in greater depth. This paper describes three ways primary care professionals interact with uncertainty: reducing uncertainty, realizing inherent uncertainty, and engaging with uncertainty. We found dynamic patterns of interaction between context and the experience of uncertainty shape possible response options. Primary care professionals that probed into uncertainty generated new understanding and opportunities to respond to intimate partner violence.

The Free Energy Principle: Good Science and Questionable Philosophy in a Grand Unifying Theory

The Free Energy Principle (FEP) is currently one of the most promising frameworks with which to address a unified explanation of life-related phenomena. With powerful formalism that embeds a small set of assumptions, it purports to deal with complex adaptive dynamics ranging from barely unicellular organisms to complex cultural manifestations. The FEP has received increased attention in disciplines that study life, including some critique regarding its overall explanatory power and its true potential as a grand unifying theory (GUT). Recently, FEP theorists presented a contribution with the main tenets of their framework, together with possible philosophical interpretations, which lean towards so-called Markovian Monism (MM). The present paper assumes some of the abovementioned critiques, rejects the arguments advanced to invalidate the FEP's potential to be a GUT, and overcomes criticism thereof by reviewing FEP theorists' newly minted metaphysical commitment, namely MM. Specifically, it shows that this philosophical interpretation of the FEP argues circularly and only delivers what it initially assumes, i.e., a dual information geometry that allegedly explains epistemic access to the world based on prior dual assumptions. The origin of this circularity can be traced back to a physical description contingent on relative system-environment separation. However, the FEP itself is not committed to MM, and as a scientific theory it delivers more than what it assumes, serving as a heuristic unification principle that provides epistemic advancement for the life sciences.

Understanding Multilevel Selection May Facilitate Management of Arbuscular Mycorrhizae in Sustainable Agroecosystems

Studies in natural ecosystems show that adaptation of arbuscular mycorrhizal (AM) fungi and other microbial plant symbionts to local environmental conditions can help ameliorate stress and optimize plant fitness. This local adaptation arises from the process of multilevel selection, which is the simultaneous selection of a hierarchy of groups. Studies of multilevel selection in natural ecosystems may inform the creation of sustainable agroecosystems through developing strategies to effectively manage crop microbiomes including AM symbioses. Field experiments show that the species composition of AM fungal communities varies across environmental gradients, and that the biomass of AM fungi and their benefits for plants generally diminish when fertilization and irrigation eliminate nutrient and water limitations. Furthermore, pathogen protection by mycorrhizas is only important in environments prone to plant damage due to pathogens. Consequently, certain agricultural practices may inadvertently select for less beneficial root symbioses because the conventional agricultural practices of fertilization, irrigation, and use of pesticides can make these symbioses superfluous for optimizing crop performance. The purpose of this paper is to examine how multilevel selection influences the flow of matter, energy, and genetic information through mycorrhizal microbiomes in natural and agricultural ecosystems, and propose testable hypotheses about how mycorrhizae may be actively managed to increase agricultural sustainability.

Building Maryland's health care leadership capacity: The Nurse Leadership Institute at the University of Maryland School of Nursing

Nurse leadership was identified as essential to the advancement of health care in the State of Maryland. The State's Health Services Cost Review Commission's (HSCRC) committed to building the next generation of nurse leaders as part of its vision for advancing healthcare in Maryland. In 2015, HSCRC approved a $2.5 million, multiyear grant that supported development of the Nurse Leadership Institute (NLI) at the University of Maryland School of Nursing. The NLI designed a leadership development program that prepared nurse faculty and clinicians with critical competencies needed for assuming leadership positions unique to complex adaptive systems, facilitating collaborative partnerships between academia and practice, and ultimately improving health outcomes for Maryland's residents. This article is the first in a series reporting on outcomes of this initiative, which describes the design and implementation of the Nurse Leadership Institute, its Leadership Development Program, and preliminary findings for the first 4 years.

How Does District Health Management Emerge Within a Complex Health System? Insights for Capacity Strengthening in Ghana

Introduction: District health managers (DHMs) play a pivotal role in the operation of district health systems in low-and middle income countries, including Ghana. Their capacity is determined by their competencies, but also by the organization and system in which they are embedded. The objective of this paper is to explore how district health management emerges from contextual, organizational, and individual factors in order to demonstrate that capacity strengthening efforts at district level need to transcend individual competencies to take on more systemic approaches. Methods: Semi-structured interviews (n = 21) were conducted to gain insight into aspects that affect district health management in the Eastern Region of Ghana. Interviews were conducted with DHMs (n = 15) from six different districts, as well as with their superiors at the regional level (n = 4) and peers from non-governmental organizations (n = 2). A thematic analysis was conducted by using an analytical approach based on systems theory. Results: Contextual aspects, such as priorities among elected officials, poor infrastructure and working conditions, centralized decision-making, delayed disbursement of funds and staff shortages, affect organizational processes and the way DHMs carry out their role. Enabling organizational aspects that provide DHMs with direction and a clear perception of their role, include positive team dynamics, good relations with supervisors, job descriptions, appraisals, information systems, policies and guidelines. Meanwhile, hierarchical organizational structures, agendas driven by vertical programs and limited opportunities for professional development provide DHMs with limited authority to make decisions and dampens their motivation. The DHMs ability to carry out their role effectively depends on their perception of their role and the effort they expend, in addition to their competencies. In regards to competencies, a need for more general management and leadership skills were called for by DHMs as well as by their superiors and peers. Conclusion: Systemic approaches are called for in order to strengthen district health management capacity. This study can provide national policy-makers, donors and researchers with a deeper understanding of factors that should be taken into consideration when developing, planning, implementing, and assessing capacity-building strategies targeted at strengthening district health management.

Eco-oncology: Applying ecological principles to understand and manage cancer

Cancer is a disease of single cells that expresses itself at the population level. The striking similarities between initiation and growth of tumors and dynamics of biological populations, and between metastasis and ecological invasion and community dynamics suggest that oncology can benefit from an ecological perspective to improve our understanding of cancer biology. Tumors can be viewed as complex, adaptive, and evolving systems as they are spatially and temporally heterogeneous, continually interacting with each other and with the microenvironment and evolving to increase the fitness of the cancer cells. We argue that an eco-evolutionary perspective is essential to understand cancer biology better. Furthermore, we suggest that ecologically informed therapeutic approaches that combine standard of care treatments with strategies aimed at decreasing the evolutionary potential and fitness of neoplastic cells, such as disrupting cell-to-cell communication and cooperation, and preventing successful colonization of distant organs by migrating cancer cells, may be effective in managing cancer as a chronic condition.

Adaptive social networks promote the wisdom of crowds

Under what conditions do groups outperform their individual members? This question is of paramount importance and has spurred many studies in management and organizational science, psychology, sociology, complex systems, and computer science. Here, we investigate the conditions under which the interaction network within a group can adapt to leverage the dispersion of individual abilities and promote collective intelligence. We find that network plasticity and feedback provide fundamental mechanisms for both improving individual judgments and inducing the collective “wisdom of the network,” allowing groups to outperform their best individuals working in isolation.

Social networks continuously change as new ties are created and existing ones fade. It is widely acknowledged that our social embedding has a substantial impact on what information we receive and how we form beliefs and make decisions. However, most empirical studies on the role of social networks in collective intelligence have overlooked the dynamic nature of social networks and its role in fostering adaptive collective intelligence. Therefore, little is known about how groups of individuals dynamically modify their local connections and, accordingly, the topology of the network of interactions to respond to changing environmental conditions. In this paper, we address this question through a series of behavioral experiments and supporting simulations. Our results reveal that, in the presence of plasticity and feedback, social networks can adapt to biased and changing information environments and produce collective estimates that are more accurate than their best-performing member. To explain these results, we explore two mechanisms: 1) a global-adaptation mechanism where the structural connectivity of the network itself changes such that it amplifies the estimates of high-performing members within the group (i.e., the network “edges” encode the computation); and 2) a local-adaptation mechanism where accurate individuals are more resistant to social influence (i.e., adjustments to the attributes of the “node” in the network); therefore, their initial belief is disproportionately weighted in the collective estimate. Our findings substantiate the role of social-network plasticity and feedback as key adaptive mechanisms for refining individual and collective judgments.

The Role of Entropy in the Development of Economics

The aim of this paper is to examine the role of thermodynamics, and in particular, entropy, for the development of economics within the last 150 years. The use of entropy has not only led to a significant increase in economic knowledge, but also to the emergence of such scientific disciplines as econophysics, complexity economics and quantum economics. Nowadays, an interesting phenomenon can be observed; namely, that rapid progress in economics is being made outside the mainstream. The first significant achievement was the emergence of entropy economics in the early 1970s, which introduced the second law of thermodynamics to considerations regarding production processes. In this way, not only was ecological economics born but also an entropy-based econometric approach developed. This paper shows that non-extensive cross-entropy econometrics is a valuable complement to traditional econometrics as it explains phenomena based on power-law probability distribution and enables econometric model estimation for non-ergodic ill-behaved (troublesome) inverse problems. Furthermore, the entropy economics has accelerated the emergence of modern econophysics and complexity economics. These new directions of research have led to many interesting discoveries that usually contradict the claims of conventional economics. Econophysics has questioned the efficient market hypothesis, while complexity economics has shown that markets and economies function best near the edge of chaos. Quantum economics has already appeared on the horizon, which recognizes money as a fundamental measurement device in the economy. The development of these sciences may indicate the need to reformulate all mainstream economics from its foundations.

A scoping review of complexity science in nursing

AIM

To describe how complexity science has been integrated into nursing.

DESIGN

A scoping review.

DATA SOURCE/REVIEW METHOD

Academic Search Elite, Scopus, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, PubMed and Web of Science were searched November 2016, updated in October 2017 and January 2020. The working process included: problem identification, literature search, data evaluation, synthesizing and presentation.

RESULTS

Four categories were found in the included 89 articles: (a) how complexity science is integrated into the nursing literature in relation to nursing education and teaching; (b) patients' symptoms, illness outcome and safety as characteristics of complexity science in nursing; (c) that leaders and managers should see organizations as complex and adaptive systems, rather than as linear machines; and (d) the need for a novel approach to studying complex phenomena such as healthcare organizations. Lastly, the literature explains how complexity science has been incorporated into the discourse in nursing and its development.

CONCLUSION

The review provided strong support for use in complexity science in the contemporary nursing literature. Complexity science is also highly applicable and relevant to clinical nursing practice and nursing management from an organizational perspective. The application of complexity science as a tool in the analysis of complex nursing systems could improve our understanding of effective interactions among patients, families, physicians and hospital and skilled nursing facility staff as well as of education.

IMPACT

Understanding complexity science in relation to the key role of nurses in the healthcare environment can improve nursing work and nursing theory development. The use of complexity science provides nurses with a language that liberates them from the reductionist view on nursing education, practice and management.

Biosensors in Occupational Safety and Health Management: A Narrative Review

A sensor is a device used to gather information registered by some biological, physical or chemical change, and then convert the information into a measurable signal. The first biosensor prototype was conceived more than a century ago, in 1906, but a properly defined biosensor was only developed later in 1956. Some of them have reached the commercial stage and are routinely used in environmental and agricultural applications, and especially, in clinical laboratory and industrial analysis, mostly because it is an economical, simple and efficient instrument for the in situ detection of the bioavailability of a broad range of environmental pollutants. We propose a narrative review, that found 32 papers and aims to discuss the possible uses of biosensors, focusing on their use in the area of occupational safety and health (OSH).

Unsupervised Learning Facilitates Neural Coordination Across the Functional Clusters of the C. elegans Connectome

Modeling of complex adaptive systems has revealed a still poorly understood benefit of unsupervised learning: when neural networks are enabled to form an associative memory of a large set of their own attractor configurations, they begin to reorganize their connectivity in a direction that minimizes the coordination constraints posed by the initial network architecture. This self-optimization process has been replicated in various neural network formalisms, but it is still unclear whether it can be applied to biologically more realistic network topologies and scaled up to larger networks. Here we continue our efforts to respond to these challenges by demonstrating the process on the connectome of the widely studied nematode worm C. elegans. We extend our previous work by considering the contributions made by hierarchical partitions of the connectome that form functional clusters, and we explore possible beneficial effects of inter-cluster inhibitory connections. We conclude that the self-optimization process can be applied to neural network topologies characterized by greater biological realism, and that long-range inhibitory connections can facilitate the generalization capacity of the process.

Measuring health system resilience in a highly fragile nation during protracted conflict: South Sudan 2011-15

Health systems resilience (HSR) is defined as the ability of a health system to continue providing normal services in response to a crisis, making it a critical concept for analysis of health systems in fragile and conflict-affected settings (FCAS). However, no consensus for this definition exists and even less about how to measure HSR. We examine three current HSR definitions (maintaining function, improving function and achieving health system targets) using real-time data from South Sudan to develop a data-driven understanding of resilience. We used 14 maternal, newborn and child health (MNCH) coverage indicators from household surveys in South Sudan collected at independence (2011) and following 2 years of protracted conflict (2015), to construct a resilience index (RI) for 9 of the former 10 states and nationally. We also assessed health system stress using conflict-related indicators and developed a stress index. We cross tabulated the two indices to assess the relationship of resilience and stress. For maintaining function for 80% of MNCH indicators, seven state health systems were resilient, compared with improving function for 50% of the indicators (two states were resilient). Achieving the health system national target of 50% coverage in half of the MNCH indicators displayed no resilience. MNCH coverage levels were low, with state averages ranging between 15% and 44%. Central Equatoria State displayed high resilience and high system stress. Lakes and Northern Bahr el Ghazal displayed high resilience and low stress. Jonglei and Upper Nile States had low resilience and high stress. This study is the first to investigate HSR definitions using a resilience metric and to simultaneously measure health system stress in FCAS. Improving function is the HSR definition detecting the greatest variation in the RI. HSR and health system stress are not consistently negatively associated. HSR is highly complex warranting more in-depth analyses in FCAS.

Pre-emptive Intervention for Autism Spectrum Disorder: Theoretical Foundations and Clinical Translation

Autism spectrum disorders (ASD) are an emergent public health problem, placing significant burden upon the individual, family and health system. ASD are polygenetic spectrum disorders of neural connectome development, in which one or more feedback loops amplify small genetic, structural, or functional variations in the very early development of motor and sensory-motor pathways. These perturbations trigger a 'butterfly effect' of unpredictable cascades of structural and functional imbalances in the global neuronal workspace, resulting in atypical behaviors, social communication, and cognition long-term. The first 100 days post-term are critically neuroplastic and comprise an injury-sensitive developmental window, characterized by a neural biomarker, the persistence of the cortical subplate, and a behavioral biomarker, the crying diathesis. By the time potential diagnostic signs are identified, from 6 months of age, ASD neuropathy is already entrenched. The International Society for Autism Research Special Interest Group has called for pre-emptive intervention, based upon rigorous theoretical frames, and real world translation and evaluation. This paper responds to that call. It synthesizes heterogenous evidence concerning ASD etiologies from both psychosocial and biological research literatures with complexity science and evolutionary biology, to propose a theoretical framework for pre-emptive intervention. This paper hypothesizes that environmental factors resulting from a mismatch between environment of evolutionary adaptedness and culture initiate or perpetuate early motor and sensory-motor lesions, triggering a butterfly effect of multi-directional cascades of atypical developmental in the complex adaptive system of the parent and ASD-susceptible infant. Chronic sympathetic nervous system/hypothalamic-pituitary-adrenal axis hyperarousal and disrupted parent-infant biobehavioral synchrony are the key biologic and behavioral mechanisms perpetuating these atypical developmental cascades. A clinical translation of this evidence is proposed, for application antenatally and in the first 6 months of life, as pre-emptive intervention for ASD.