Using systems thinking to support clinical system transformation

Evaluation of the initial rollout of the physical activity referral standards policy in Scotland: a qualitative study

OBJECTIVES

Physical activity referral schemes (PARS) allow healthcare professionals to refer patients for physical activity support. Evidence of effectiveness is equivocal. Public Health Scotland has developed 'physical activity referral standards' that aim to enhance quality, reduce variability in design and delivery and build further evidence of what works. This study evaluated stakeholder perspectives on the initial reach, adoption, implementation and effectiveness of the standards.

DESIGN

A qualitative study using individual, online, semistructured interviews to explore stakeholder awareness and willingness to use the standards. We analysed data using the framework method within the context of the RE-AIM (Reach, Effectiveness, Adoption, Implementation and Maintenance) framework.

SETTING

Data were collected across 28 local authorities in rural and urban areas of Scotland between December 2022 and June 2023.

PARTICIPANTS

73 stakeholders, including scheme managers (n=34), senior managers from provider organisations (n=9), healthcare professionals (n=19) (general practitioners, nurses, occupational therapists and physiotherapists) and policy stakeholders (n=11).

RESULTS

72.6% of stakeholders were aware of the physical activity referral standards, and they were widely welcomed. Healthcare professionals were the least informed. Participants appeared willing to adopt the standards, and stakeholders reported using them to help with service planning, audit delivery processes, identify service gaps, inform monitoring and evaluation plans and understand and communicate the roles and responsibilities of different partners. Barriers to implementation included lack of healthcare professional awareness, funding and workforce capacity. Views about the minimum dataset (suggested essential or desirable data fields to be collected for monitoring and evaluation) contained in the standards were divided. Some thought it useful, but others considered it onerous or aspirational, and it was unclear whether all service delivery stakeholders would have the resources or capacity to collect and analyse the data.

CONCLUSIONS

The delivery of the standards could be enhanced by a comprehensive communication strategy and by addressing the lack of funding, workforce delivery capacity and skills/capacity required to collect and interpret the proposed minimum national dataset.

Patient-Centric Paradigm: A Systems Thinking Approach to Enhance Healthcare

Objective: The study aims to investigate the impact of patient-centric approaches on patient health outcomes, identify key leverage points for enhancing patient-centered care, and evaluate the effectiveness of systems thinking in guiding healthcare transformations. Methods and Procedures: The research utilizes system dynamics methodology, combining qualitative and quantitative data with causal loop diagrams and simulation models. Using Vensim software, the study examines dynamic interactions, feedback loops, and the effects of patient-centric interventions. Sensitivity analysis assesses the impact of variables such as access to healthcare improvements, and social determinants of health (SDOH), providing insights into the systemic behaviors of healthcare models. Results: Simulation analyses demonstrate the effectiveness of patient-centric interventions in improving engagement, satisfaction, communication, and health outcomes. Key leverage points, such as enhanced patient-provider communication and addressing SDOH, are critical for driving sustainable improvements. However, declining trends in outcomes over time indicate the need for adaptive strategies to maintain effectiveness. Conclusions: The study emphasizes the importance of maintaining patient centricity in healthcare settings. By leveraging systems thinking and addressing underlying factors such as SDOH, the research provides actionable insights to enhance care delivery and patient outcomes. Despite the limitations of simulated data, the findings contribute to understanding the dynamic interplay between patient-centric strategies and healthcare system performance, advocating for sustained efforts to ensure equitable and effective care.

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.

A structured approach to applying systems analysis methods for examining implementation mechanisms

BACKGROUND

It is challenging to identify and understand the specific mechanisms through which an implementation strategy affects implementation outcomes, as implementation happens in the context of complex, multi-level systems. These systems and the mechanisms within each level have their own dynamic environments that change frequently. For instance, sequencing may matter in that a mechanism may only be activated indirectly by a strategy through another mechanism. The dosage or strength of a mechanism may vary over time or across different health care system levels. To elucidate the mechanisms relevant to successful implementation amidst this complexity, systems analysis methods are needed to model and manage complexity.

METHODS

The fields of systems engineering and systems science offer methods-which we refer to as systems analysis methods-to help explain the interdependent relationships between and within systems, as well as dynamic changes to systems over time. When applied to studying implementation mechanisms, systems analysis methods can help (i) better identify and manage unknown conditions that may or may not activate mechanisms (both expected mechanisms targeted by a strategy and unexpected mechanisms that the methods help detect) and (ii) flexibly guide strategy adaptations to address contextual influences that emerge after the strategy is selected and used.

RESULTS

In this paper, we delineate a structured approach to applying systems analysis methods for examining implementation mechanisms. The approach includes explicit steps for selecting, tailoring, and evaluating an implementation strategy regarding the mechanisms that the strategy is initially hypothesized to activate, as well as additional mechanisms that are identified through the steps. We illustrate the approach using a case example. We then discuss the strengths and limitations of this approach, as well as when these steps might be most appropriate, and suggest work to further the contributions of systems analysis methods to implementation mechanisms research.

CONCLUSIONS

Our approach to applying systems analysis methods can encourage more mechanisms research efforts to consider these methods and in turn fuel both (i) rigorous comparisons of these methods to alternative mechanisms research approaches and (ii) an active discourse across the field to better delineate when these methods are appropriate for advancing mechanisms-related knowledge.

Using participatory system dynamics learning to support Ryan White Planning Council priority setting and resource allocations

The Ryan White CARE Act provides federal dollars supporting low income people living with HIV/AIDS (PLWH). Regional Ryan White Planning Councils (RWPC) are responsible for setting priorities and deciding CARE Act fund allocations, using local data to identify greatest need. However, RWPC are challenged with interpreting complex epidemiological, service utilization, and community needs data to inform priority setting and resource allocations. We piloted system dynamics (SD) learning, using a validated HIV care continuum SD simulation model calibrated to one northeastern U.S. Ryan White funding area. The pilot applied systems thinking to understand the complex HIV care continuum and to simulate and compare outcomes of various resource allocation decisions. Three scripted workshops provided opportunities to learn the SD modeling process and simulation tool, simulate various resource allocations, and compare population health outcomes. Mixed methods evaluation documented the SD modeling process, member responses to the modeling sessions, and attitudes regarding benefits and limitations of SD modeling for RWPC decision-making. Despite high member turnover and complexity of the SD model, members could understand the simulation model and propose strategies to seek greatest improvements in HIV care retention, viral suppression, and reduced infections. Findings suggests the value of SD modeling to assist RWPC decisions.

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.

Designing for Dissemination and Sustainability to Promote Equitable Impacts on Health

Designing for dissemination and sustainability (D4DS) refers to principles and methods for enhancing the fit between a health program, policy, or practice and the context in which it is intended to be adopted. In this article we first summarize the historical context of D4DS and justify the need to shift traditional health research and dissemination practices. We present a diverse literature according to a D4DS organizing schema and describe a variety of dissemination products, design processes and outcomes, and approaches to messaging, packaging, and distribution. D4DS design processes include stakeholder engagement, participatory codesign, and context and situation analysis, and leverage methods and frameworks from dissemination and implementation science, marketing and business, communications and visualarts, and systems science. Finally, we present eight recommendations to adopt a D4DS paradigm, reflecting shifts in ways of thinking, skills and approaches, and infrastructure and systems for training and evaluation.

Understanding implementation science from the standpoint of health organisation and management: an interdisciplinary exploration of selected theories, models and frameworks

Purpose

As a discipline, health organisation and management is focused on health-specific, collective behaviours and activities, whose empirical and theoretical scholarship remains under-utilised in the field of implementation science. This under-engagement between fields potentially constrains the understanding of mechanisms influencing the implementation of evidence-based innovations in health care. The aim of this viewpoint article is to examine how a selection of theories, models and frameworks (theoretical approaches) have been applied to better understand phenomena at the micro, meso and macro systems levels for the implementation of health care innovations. The purpose of which is to illustrate the potential applicability and complementarity of embedding health organisation and management scholarship within the study of implementation science.

Design/methodology/approach

The authors begin by introducing the two fields, before exploring how exemplary theories, models and frameworks have been applied to study the implementation of innovations in the health organisation and management literature. In this viewpoint article, the authors briefly reviewed a targeted collection of articles published in the Journal of Health Organization and Management (as a proxy for the broader literature) and identified the theories, models and frameworks they applied in implementation studies. The authors then present a more detailed exploration of three interdisciplinary theories and how they were applied across three different levels of health systems: normalization process theory (NPT) at the micro individual and interpersonal level; institutional logics at the meso organisational level; and complexity theory at the macro policy level. These examples are used to illustrate practical considerations when implementing change in health care organisations that can and have been used across various levels of the health system beyond these presented examples.

Findings

Within the Journal of Health Organization and Management, the authors identified 31 implementation articles, utilising 34 theories, models or frameworks published in the last five years. As an example of how theories, models and frameworks can be applied at the micro individual and interpersonal levels, behavioural theories originating from psychology and sociology (e.g. NPT) were used to guide the selection of appropriate implementation strategies or explain implementation outcomes based on identified barriers and enablers to implementing innovations of interest. Projects aiming to implement change at the meso organisational level can learn from the application of theories such as institutional logics, which help elucidate how relationships at the macro and micro-level have a powerful influence on successful or unsuccessful organisational action. At the macro policy level, complexity theory represented a promising direction for implementation science by considering health care organisations as complex adaptive systems.

Originality/value

This paper illustrates the utility of a range of theories, models and frameworks for implementation science, from a health organisation and management standpoint. The authors’ viewpoint article suggests that increased crossovers could contribute to strengthening both disciplines and our understanding of how to support the implementation of evidence-based innovations in health care.

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

System dynamics, as a methodology for analyzing and understanding various types of systems, has been applied in research for several decades. We undertook a review to identify the latest application domains and map the realm of system dynamics. The systematic review was conducted according to the PRISMA methodology. We analyzed and categorized 212 articles and found that the vast majority of studies belong to the fields of business administration, health, and environmental research. Altogether, 20 groups of modeling and simulation topics can be recognized. System dynamics is occasionally supported by other modeling methodologies such as the agent-based modeling approach. There are issues related to published studies mostly associated with testing of validity and reasonability of models, leading to the development of predictions that are not grounded in verified models. This study contributes to the development of system dynamics as a methodology that can offer new ideas, highlight limitations, or provide analogies for further research in various research disciplines.

Scaling Beyond Early Adopters: a Content Analysis of Literature and Key Informant Perspectives

BACKGROUND

Innovations and improvements in care delivery are often not spread across all settings that would benefit from their uptake. Scale-up and spread efforts are deliberate efforts to increase the impact of innovations successfully tested in pilot projects so as to benefit more people. The final stages of scale-up and spread initiatives must contend with reaching hard-to-engage sites.

OBJECTIVE

To describe the process of scale-up and spread initiatives, with a focus on hard-to-engage sites and strategies to approach them.

DESIGN

Qualitative content analysis of systematically identified literature and key informant interviews.

PARTICIPANTS

Leads from large magnitude scale-up and spread projects.

APPROACH

We conducted a systematic literature search on large magnitude scale-up and spread and interviews with eight project leads, who shared their perspectives on strategies to scale-up and spread clinical and administrative practices across healthcare systems, focusing on hard-to-engage sites. We synthesized these data using content analysis.

KEY RESULTS

Searches identified 1919 titles, of which 52 articles were included. Thirty-four discussed general scale-up and spread strategies, 11 described hard-to-engage sites, and 7 discussed strategies for hard-to-engage sites. These included publications were combined with interview findings to describe a fourth phase of the national scale-up and spread process, common challenges for spreading to hard-to-engage sites, and potential benefits of working with hard-to-engage sites, as well as useful strategies for working with hard-to-engage sites.

CONCLUSIONS

We identified scant published evidence that describes strategies for reaching hard-to-engage sites. The sparse data we identified aligned with key informant accounts. Future work could focus on better documentation of the later stages of spread efforts, including specific tailoring of approaches and strategies used with hard-to-engage sites. Spread efforts should include a "flexible, tailored approach" for this highly variable group, especially as implementation science is looking to expand its impact in routine care settings.

System dynamics applications in performance measurement research

Purpose

This study investigates system dynamics (SD) applications in performance measurement (PM) research and practice. A bibliometric analysis was conducted to investigate the maturity of this research area and identify opportunities for development.

Design/methodology/approach

A systematic literature review (SLR) was conducted to provide a comprehensive and rigorous review of the existing literature. The search was conducted on 10 platforms identifying 97 publications, which were evaluated using bibliometric analysis.

Findings

The analysis revealed that applications of SD are most commonly used in the PM system design phase to model organisational performance. In addition, the bibliometric results showed a highly dispersed author set, with most studies using exploratory methods, suggesting that the research is in a relatively early stage of development. The results also showed that over 50 per cent of the causal models were not validated, emphasizing an important methodological gap in this research area.

Research limitations/implications

This SLR is limited to indexed publications on 10 platforms, the search strategy was relatively precise and only available papers in English language were used for the literature review.

Practical implications

PM systems supported by SD can help managers understand and improve organisational behaviours by addressing dynamic complexities and relationship between variables. This study evaluates the maturity of this research area including information about the current development of this area and opportunities to build on existing knowledge.

Originality/value

This study identifies how SD approaches are applied to PM and highlights areas that require further research consideration. This paper is the first of two publications to result from this study and focuses on evaluating the current state of this research area.

Exploring relationships between health professionals through the implementation of a reablement program for people with dementia: A mixed methods study

Aims:

Implementation of novel interventions occurs within broad organisational contexts, which contain many relationships and moving parts. Efforts need to be made to understand these relationships as they are an important predictor of successful implementation. This study examines the relationships between health professionals involved in the implementation of an evidence-based community program for people with dementia and their carers in Australia, The Care of People with dementia in their Environments program.

Methods:

This study utilised mixed methods including in-depth interviews and organisational diagrams. Qualitative data from 28 interviews were collected from occupational therapists, nurses and their managers. Recruitment ensured a variety of different organisational contexts were represented. Thematic analysis was used to capture key emergent themes.

Findings:

The strongest relationships were usually between the occupational therapist and their manager. Strong trusting relationships with managers were instrumental in advocating for the need for reablement programs and the occupational therapy professional role in dementia care. Large teams of occupational therapists were seen to be beneficial in supporting each other in case complexities. Relationships between occupational therapists and nurses were often missing or perceived as weak relationships. A conducive physical environment contributed to stronger more collaborative relationships, where individuals were visible and therefore felt to be more approachable.

Conclusion:

Our study highlights the additional preparation work that is required of organisations to consider relationships in their strategies for implementation.

Experts' perceptions of management and leadership competence in Finnish hospitals in 2030

PURPOSE

The purpose of this study is to elicit and analyze experts' perceptions of management and leadership competence (MLC) and likely MLC developments and requirements in hospital contexts by 2030.

DESIGN/METHODOLOGY/APPROACH

A three-round, web-based Argument Delphi process was used to gather critically discussed opposing perceptions of 33 Finnish experts, which were subjected to inductive content analysis to identify themes.

FINDINGS

Current deficiencies in MLC and several trends (e.g. an ongoing shift towards collaborative management) and required improvements (e.g. a need to adopt more holistic approaches) were identified. However, there were some conflicting perceptions, regarding for example the desirability of fixed-term positions for managers.

RESEARCH LIMITATIONS/IMPLICATIONS

The findings provide qualitative indications of a group of Finnish experts' perceptions of MLC and requirements for its development, elicited using the Argument Delphi Method. Thus, they are subject to the usual limitations of the applied methodology and should be generalized to other contexts cautiously.

PRACTICAL IMPLICATIONS

The identification of current deficiencies and future requirements for MLC may facilitate the formulation of robust approaches for improving it in hospital contexts.

SOCIAL IMPLICATIONS

The findings may be useful for improving MLC in hospitals, thereby enhancing efficiency, teamwork, safety and client satisfaction in healthcare settings.

ORIGINALITY/VALUE

The Argument Delphi Method has been rarely used in health management science studies and healthcare context. It is intended to develop relevant arguments and reveal reasons for differing views about focal issues, thereby providing deeper understanding of experts' perceptions of MLC and its likely development.

Perceptions of future hospital management in Finland

PURPOSE

The purpose of this paper is to describe how Finnish experts perceive future (year 2030) hospital management and leadership.

DESIGN/METHODOLOGY/APPROACH

A total of 33 experts participated in a three-round Argument Delphi process. Opposing views of management and leadership in 2030 were analyzed using inductive content analysis.

FINDINGS

The experts' perceptions were divided into two main categories: management and leadership orientation and future organization. Perceptions relating to management and leadership orientation were classified as relating to patient-centred, clinical dominance, professionally divided and management career options. Perceptions relating to future management and leadership organization were classified as representing shared, pair, team and the individual-centered leadership. The results highlighted the most distinctive issues raised by the participants.

RESEARCH LIMITATIONS/IMPLICATIONS

This qualitative study was conducted in the context of Finnish healthcare according to the principles of the Argument Delphi Method. The panel consisted of high-level experts representing a diverse set of roles. However, as suggested in previous literature, these experts may not be the most astute in predicting the future development of hospital organizations.

PRACTICAL IMPLICATIONS

The findings can be used to develop and renew management and leadership training and management practices in hospitals.

SOCIAL IMPLICATIONS

The findings can be exploited in discussions, planning and decision making regarding future management and leadership in hospitals.

ORIGINALITY/VALUE

Only a few studies have investigated perceptions of future management in hospitals. This study adopted the Argument Delphi Method to identify distinct perceptions on the future orientation and organization of management and leadership in hospitals.

Development of a Provincial initiative to improve glucose control in critically ill patients

OBJECTIVE

To describe the development, implementation and initial evaluation of an initiative to improve glucose control in critically ill patients.

DESIGN

Glucose control in critically ill patients was chosen by critical care leaders as a target for improvement. This was an observational study to document changes in processes and measures of glucose control in each intensive care unit (ICU). ICU nurse educators were interviewed to document relevant changes between April 2012 and April 2016.

SETTING

16 ICUs in British Columbia, Canada.

PARTICIPANTS

ICU leaders.

INTERVENTION(S)

A community of practice (CoP) was formed, guidelines were adopted, two learning sessions were held, and an electronic system to collect data was created. Then, each ICU introduced their own educational and process interventions.

MAIN OUTCOME MEASURE(S)

Average hyperglycemic index (area under the curve of serum glucose concentration versus time above the upper limit (10 mmol/l) divided by time on insulin infusion), number of hypoglycemic events (<3.5 mmol/l) divided by time on insulin infusion and standardized mortality rate (actual/predicted hospital mortality) for each 3-month period.

RESULTS

Although there were some isolated points and short trends that indicated special cause variation, there were no major trends over time and no obvious association with any of the process changes for each hospital. However, the average hyperglycemic index was higher in some of the smaller hospitals than in the larger hospitals.

CONCLUSIONS

In this, 4-year observation of glucose control in ICUs within a CoP, the lack of sustained improvement suggests the need for more active and durable interventions.

The international knowledge base for new care models relevant to primary care-led integrated models: a realist synthesis

Background

The Multispecialty Community Provider (MCP) model was introduced to the NHS as a primary care-led, community-based integrated care model to provide better quality, experience and value for local populations.

Objectives

The three main objectives were to (1) articulate the underlying programme theories for the MCP model of care; (2) identify sources of theoretical, empirical and practice evidence to test the programme theories; and (3) explain how mechanisms used in different contexts contribute to outcomes and process variables.

Design

There were three main phases: (1) identification of programme theories from logic models of MCP vanguards, prioritising key theories for investigation; (2) appraisal, extraction and analysis of evidence against a best-fit framework; and (3) realist reviews of prioritised theory components and maps of remaining theory components.

Main outcome measures

The quadruple aim outcomes addressed population health, cost-effectiveness, patient experience and staff experience.

Data sources

Searches of electronic databases with forward- and backward-citation tracking, identifying research-based evidence and practice-derived evidence.

Review methods

A realist synthesis was used to identify, test and refine the following programme theory components: (1) community-based, co-ordinated care is more accessible; (2) place-based contracting and payment systems incentivise shared accountability; and (3) fostering relational behaviours builds resilience within communities.

Results

Delivery of a MCP model requires professional and service user engagement, which is dependent on building trust and empowerment. These are generated if values and incentives for new ways of working are aligned and there are opportunities for training and development. Together, these can facilitate accountability at the individual, community and system levels. The evidence base relating to these theory components was, for the most part, limited by initiatives that are relatively new or not formally evaluated. Support for the programme theory components varies, with moderate support for enhanced primary care and community involvement in care, and relatively weak support for new contracting models.

Strengths and limitations

The project benefited from a close relationship with national and local MCP leads, reflecting the value of the proximity of the research team to decision-makers. Our use of logic models to identify theories of change could present a relatively static position for what is a dynamic programme of change.

Conclusions

Multispecialty Community Providers can be described as complex adaptive systems (CASs) and, as such, connectivity, feedback loops, system learning and adaptation of CASs play a critical role in their design. Implementation can be further reinforced by paying attention to contextual factors that influence behaviour change, in order to support more integrated working.

Future work

A set of evidence-derived ‘key ingredients’ has been compiled to inform the design and delivery of future iterations of population health-based models of care. Suggested priorities for future research include the impact of enhanced primary care on the workforce, the effects of longer-term contracts on sustainability and capacity, the conditions needed for successful continuous improvement and learning, the role of carers in patient empowerment and how community participation might contribute to community resilience.

Study registration

This study is registered as PROSPERO CRD42016039552.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

When complexity science meets implementation science: a theoretical and empirical analysis of systems change

BACKGROUND

Implementation science has a core aim - to get evidence into practice. Early in the evidence-based medicine movement, this task was construed in linear terms, wherein the knowledge pipeline moved from evidence created in the laboratory through to clinical trials and, finally, via new tests, drugs, equipment, or procedures, into clinical practice. We now know that this straight-line thinking was naïve at best, and little more than an idealization, with multiple fractures appearing in the pipeline.

DISCUSSION

The knowledge pipeline derives from a mechanistic and linear approach to science, which, while delivering huge advances in medicine over the last two centuries, is limited in its application to complex social systems such as healthcare. Instead, complexity science, a theoretical approach to understanding interconnections among agents and how they give rise to emergent, dynamic, systems-level behaviors, represents an increasingly useful conceptual framework for change. Herein, we discuss what implementation science can learn from complexity science, and tease out some of the properties of healthcare systems that enable or constrain the goals we have for better, more effective, more evidence-based care. Two Australian examples, one largely top-down, predicated on applying new standards across the country, and the other largely bottom-up, adopting medical emergency teams in over 200 hospitals, provide empirical support for a complexity-informed approach to implementation. The key lessons are that change can be stimulated in many ways, but a triggering mechanism is needed, such as legislation or widespread stakeholder agreement; that feedback loops are crucial to continue change momentum; that extended sweeps of time are involved, typically much longer than believed at the outset; and that taking a systems-informed, complexity approach, having regard for existing networks and socio-technical characteristics, is beneficial.

CONCLUSION

Construing healthcare as a complex adaptive system implies that getting evidence into routine practice through a step-by-step model is not feasible. Complexity science forces us to consider the dynamic properties of systems and the varying characteristics that are deeply enmeshed in social practices, whilst indicating that multiple forces, variables, and influences must be factored into any change process, and that unpredictability and uncertainty are normal properties of multi-part, intricate systems.