Making sense in a complex landscape: how the Cynefin Framework from Complex Adaptive Systems Theory can inform health promotion practice

Social determinants of health and diabetes: using a nationally representative sample to determine which social determinant of health model best predicts diabetes risk

OBJECTIVES

Social determinants of health (SDOH) research demonstrates poverty, access to healthcare, discrimination, and environmental factors influence health outcomes. Several models are commonly used to assess SDOH, yet there is limited understanding of how these models differ regarding their ability to predict the influence of social determinants on diabetes risk. This study compares the utility of four SDOH models for predicting diabetes disparities.

STUDY DESIGN

We utilized The National Longitudinal Study of Adolescent to Adulthood (Add Health) to compare SDOH models and their ability to predict risk of diabetes and obesity.

METHODS

Previous literature has identified the World Health Organization (WHO), Healthy People, County Health Rankings, and Kaiser Family Foundation as the conventional SDOH models. We used these models to operationalize SDOH using the Add Health dataset. Add Health data were used to perform logistic regressions for HbA1c and linear regressions for body mass index (BMI).

RESULTS

The Kaiser model accounted for the largest proportion of variance (19%) in BMI. Race/ethnicity was a consistent factor predicting BMI across models. Regarding HbA1c, the Kaiser model also accounted for the largest proportion of variance (17%). Race/ethnicity and wealth was a consistent factor predicting HbA1c across models.

CONCLUSION

Policy and practice interventions should consider these factors when screening for and addressing the effects of SDOH on diabetes risk. Specific SDOH models can be constructed for diabetes based on which determinants have the largest predictive value.

Experiences of pregnant Venezuelan migrants/refugees in Brazil, Ecuador and Peru: a qualitative analysis

BACKGROUND

It is estimated that since 2014, approximately 7.3 million Venezuelan migrants/refugees have left the country. Although both male and female migrants/refugees are vulnerable, female migrants/refugees are more likely to face discrimination, emotional, physical, and sexual violence. Currently there is a lack of literature that explores the experiences of pregnant Venezuelan migrants/refugees. Our aim is to better understand the experience of this vulnerable population to inform programming.

METHODS

In the parent study, Spryng.io's sensemaking tool was used to gain insight into the gendered migration experiences of Venezuelan women/girls. A total of 9339 micronarratives were collected from 9116 unique participants in Peru, Ecuador and Brazil from January to April 2022. For the purpose of this analysis, two independent reviewers screened 817 micronarratives which were identified by the participant as being about someone who was pregnant, ultimately including 231 as part of the thematic analysis. This was an exploratory study and an open thematic analysis of the narratives was performed.

RESULTS

The mean age and standard deviation of our population was 25.77 ± 6.73. The majority of women in the sample already had at least 1 child (62%), were married at the time of migration (53%) and identified as low socio-economic status (59%). The qualitative analysis revealed the following main themes among pregnant Venezuelan migrants/refugees: xenophobia in the forms of racial slurs and hostile treatment from health-care workers while accessing pregnancy care; sexual, physical, and verbal violence experienced during migration; lack of shelter, resources and financial support; and travelling with the hopes of a better future.

CONCLUSION

Pregnant Venezuelan migrants/refugees are a vulnerable population that encounter complex gender-based and societal issues that are rarely sufficiently reported. The findings of this study can inform governments, non-governmental organizations, and international organizations to improve support systems for pregnant migrants/refugees. Based on the results of our study we recommend addressing xenophobia in health-care centres and the lack of shelter and food in host countries at various levels, creating support spaces for pregnant women who experience trauma or violence, and connecting women with reliable employment opportunities and maternal healthcare.

Complex adaptive systems-based framework for modeling the health impacts of climate change

Introduction

Climate change is a global phenomenon with far-reaching consequences, and its impact on human health is a growing concern. The intricate interplay of various factors makes it challenging to accurately predict and understand the implications of climate change on human well-being. Conventional methodologies have limitations in comprehensively addressing the complexity and nonlinearity inherent in the relationships between climate change and health outcomes.

Objectives

The primary objective of this paper is to develop a robust theoretical framework that can effectively analyze and interpret the intricate web of variables influencing the human health impacts of climate change. By doing so, we aim to overcome the limitations of conventional approaches and provide a more nuanced understanding of the complex relationships involved. Furthermore, we seek to explore practical applications of this theoretical framework to enhance our ability to predict, mitigate, and adapt to the diverse health challenges posed by a changing climate.

Methods

Addressing the challenges outlined in the objectives, this study introduces the Complex Adaptive Systems (CAS) framework, acknowledging its significance in capturing the nuanced dynamics of health effects linked to climate change. The research utilizes a blend of field observations, expert interviews, key informant interviews, and an extensive literature review to shape the development of the CAS framework.

Results and discussion

The proposed CAS framework categorizes findings into six key sub-systems: ecological services, extreme weather, infectious diseases, food security, disaster risk management, and clinical public health. The study employs agent-based modeling, using causal loop diagrams (CLDs) tailored for each CAS sub-system. A set of identified variables is incorporated into predictive modeling to enhance the understanding of health outcomes within the CAS framework. Through a combination of theoretical development and practical application, this paper aspires to contribute valuable insights to the interdisciplinary field of climate change and health. Integrating agent-based modeling and CLDs enhances the predictive capabilities required for effective health outcome analysis in the context of climate change.

Conclusion

This paper serves as a valuable resource for policymakers, researchers, and public health professionals by employing a CAS framework to understand and assess the complex network of health impacts associated with climate change. It offers insights into effective strategies for safeguarding human health amidst current and future climate challenges.

National and subnational governance and decision-making processes during the COVID-19 pandemic in Nigeria: an empirical analysis

Governance of the COVID-19 pandemic required decision-makers to make and implement decisions amidst uncertainty, public pressure and time constraints. However, few studies have attempted to assess these decision-making processes empirically during health emergencies. Thus, we aimed to understand governance, defined as the process of decision-making and implementation of decisions, during the COVID-19 pandemic in Nigeria. We conducted key informant interviews and focus group discussions with national and subnational government officials, civil society organisation (CSO) members, development partners and academic experts. Our study identified several themes on governance and decision-making processes. First, Nigeria established high-level decision-making structures at the federal and state levels, providing clear and integrated multisectoral decision-making mechanism. However, due to the emergence of conflicts between government levels, there is a need to strengthen intergovernmental arrangements. Second, while decision-makers relied on input from academic experts and CSOs, additional efforts are required to engage such stakeholders in decision-making processes, especially during the early stages of health emergencies. Third, Nigeria's previous experiences responding to disease outbreaks aided the overall response, as many capacities and coordination mechanisms for cohesive action were present. Fourth, while decision-makers took a holistic view of scientific, social and economic factors for decision-making, this process was also adaptive to account for rapidly evolving information. Lastly, more efforts are needed to ensure decisions are inclusive, equitable and transparent, and improve overall public trust in governance processes. This study provides insights and identifies opportunities to enhance governance and decision-making processes in health emergency responses, aiding future pandemic preparedness efforts.

Community efforts to promote vaccine uptake in a rural setting: a qualitative interview study

Vaccine hesitancy has been identified as one of the top 10 threats to global health. The causes of low vaccine uptake are many and vary at micro and macro levels. However, rural and remote coastal areas in the UK experience unique vaccine inequalities due to high levels of deprivation and their unique and complex access-related problems. This study aimed to explore community efforts to promote vaccine uptake during the COVID-19 pandemic and understand how the COVID-19 vaccination campaign was experienced by the public. We conducted an exploratory descriptive qualitative study using semi-structured interviews with decision-makers, health professionals and community members in Lincolnshire, a predominantly rural county with a long coastline, a large population of white minority ethnicities, and those living in caravan and temporary housing. Data were analysed using conventional content analysis. Overcoming the various access barriers to vaccination uptake involved working with local media stations, local communities and local community groups, translation of information, bringing vaccines closer to the people through pop-up and mobile clinics and provision of transport and ensuring confidentiality. There is a need to employ inclusive targeted non-conventional care interventions whilst dealing with complex problems as occur in rural and remote coastal regions.

Fairness in Assessment: Identifying a Complex Adaptive System

Introduction

Assessment design in health professions education is continuously evolving. There is an increasing desire to better embrace human judgement in assessment. Thus, it is essential to understand what makes this judgement fair. This study builds upon existing literature by studying how assessment leaders conceptualise the characteristics of fair judgement.

Methods

Sixteen assessment leaders from 15 medical schools in Australia and New Zealand participated in online focus groups. Data collection and analysis occurred concurrently and iteratively. We used the constant comparison method to identify themes and build on an existing conceptual model of fair judgement in assessment.

Results

Fairness is a multi-dimensional construct with components at environment, system and individual levels. Components influencing fairness include articulated and agreed learning outcomes relating to the needs of society, a culture which allows for learner support, stakeholder agency and learning (environmental level), collection, interpretation and combination of evidence, procedural strategies (system level) and appropriate individual assessments and assessor expertise and agility (individual level).

Discussion

We observed that within the data at fractal, that is an infinite pattern repeating at different scales, could be seen suggesting fair judgement should be considered a complex adaptive system. Within complex adaptive systems, it is primarily the interaction between the entities which influences the outcome it produces, not simply the components themselves. Viewing fairness in assessment through a lens of complexity rather than as a linear, causal model has significant implications for how we design assessment programs and seek to utilise human judgement in assessment.

Researching Compassionate Communities: Identifying theoretical frameworks to evaluate the complex processes behind public health palliative care initiatives

BACKGROUND

Compassionate Communities have been put forward as a new model for community-based palliative care to positively impact the health and wellbeing of those experiencing challenges of serious illness, death, dying, and loss. Despite the growing international movement to develop these public health initiatives to end-of-life care, only a handful of initiatives have undergone some form of evaluation.

AIM

To provide guidance on designing evaluation research by identifying theoretical frameworks to understand the development, implementation, and underlying mechanisms of Compassionate Communities.

METHODS

To identify suitable theoretical frameworks for the study of Compassionate Communities, we applied two steps. The first step examined the characteristics of Compassionate Communities and translated them into assessment criteria for the selection of theoretical frameworks. The second step consisted of applying the identified assessment criteria to a list of widely used and highly cited theoretical frameworks.

RESULTS

Three well-established theoretical frameworks were identified as being most suitable to study the development, implementation, and underlying mechanisms of Compassionate Communities: The Consolidated Framework for Implementation Research (CFIR), the integrated-Promoting Action on Research Implementation in Health Services framework (i-PARIHS), and the Extended Normalization Process Theory (ENPT).

CONCLUSIONS

The article supports and encourages the use of theoretical frameworks to evaluate the complex processes behind public health palliative care initiatives. The complementary use of two determinant frameworks and an implementation theory provides theoretical grounding to gain rich insights into the emergent and shifting interplays between agency, social processes, and contextual factors that shape the development and implementation of Compassionate Communities.

Informal and Incidental Learning in the Clinical Learning Environment: Learning Through Complexity and Uncertainty During COVID-19

In the time of the COVID-19 pandemic, where clinical environments are plagued by both uncertainty and complexity, the importance of the informal and social aspects of learning among health care teams cannot be exaggerated. While there have been attempts to better understand the nuances of informal learning in the clinical environment through descriptions of the tacit or hidden curriculum, incidental learning in medical education has only been partially captured in the research. Understood through concepts borrowed from the Cynefin conceptual framework for sensemaking, the early stages of the pandemic immersed clinical teams in complex and chaotic situations where there was no immediately apparent relationship between cause and effect. Health care teams had to act quickly amidst the chaos: they had to first act, make sense of, and respond with intentionality. Informal and incidental learning (IIL) emerged as a byproduct of acting with the tools and knowledge available in the moment. To integrate the informal, sometimes haphazard nature of emergence among health care teams, educators require an understanding of IIL. This understanding can help medical educators prepare health professions learners for the cognitive dissonance that accompanies uncertainty in clinical practice. The authors introduce IIL as an explanatory framework to describe how teams navigate complexity in the clinical learning environment and to better inform curricular development for health professions training that prepares learners for uncertainty. While further research in IIL is needed to illuminate tacit knowledge that makes learning explicit for all audiences in the health professions, there are opportunities to cultivate learners' skills in formal curricula through various learning interventions to prime them for IIL when they enter complex clinical learning environments.

Problem-Solving in Product Innovation Based on the Cynefin Framework-Aided TRIZ

Different problems in the process of product innovation are often caused by external environmental changes of the product. There is a lack of research on classifying the problems associated with product environment changes to aid in applying tools of the Theory of the Solution of Inventive Problems (TRIZ) for problem-solving. This paper proposes a Cynefin framework to classify the problems into disorder, chaotic, complexity, complicated and simple areas according to the external environment changes. Each area of problems is then solved by corresponding design tools in TRIZ. Chaotic and complex problems are converted into complicated or simple areas by the technology evolution and effect search. Complicated or simple areas are combined considering conflicts expressed by an Element-Name-Value (ENV) model. Key conflicts are determined by simplified rules of a node conflict network. A problem-solving methodology in product innovation is proposed based on Cynefin framework-aided TRIZ. The proposed method is applied in the design of an enterprise SJL900/32 mobile bridge erecting machine.

Evaluating COVID-19 decision-making in a humanitarian setting: The case study of Somalia

The global COVID-19 pandemic is unprecedented in its scope and impact. While a great deal of research has been directed towards the response in high-income countries, relatively little is known about the way in which decision-makers in low-income and crisis-affected countries have contended with the epidemic. Through use of an a priori decision framework, we aimed to evaluate the process of policy and operational decision-making in relation to the COVID-19 response in Somalia, a chronically fragile country, focusing particularly on the use of information and the role of transparency. We undertook a desk review, observed a number of key decision-making fora and conducted a series of key informant and focus group discussions with a range of decision-makers including state authority, civil society, humanitarian and development actors. We found that nearly all actors struggled to make sense of the scale of the epidemic and form an appropriate response. Decisions made during the early months had a large impact on the course of the epidemic response. Decision-makers relied heavily on international norms and were constrained by a number of factors within the political environment including resource limitations, political contestation and low population adherence to response measures. Important aspects of the response suffered from a transparency deficit and would have benefitted from more inclusive decision-making. Development of decision support tools appropriate for crisis-affected settings that explicitly deal with individual and environmental decision factors could lead to more effective and timely epidemic response.

A 'COVID Compass' for navigating the pandemic

INTRODUCTION

The greatest challenge confronting political, public health, business, education and social welfare leaders in the COVID pandemic era is to restore the economy, businesses and schools without further risking public health. The 'COVID Compass' project aims to provide helpful information to guide local decisions by tracking state and local policies over time and their impact on a balanced set of outcomes-health metrics, economic trends and social hardship indicators.

METHODS

We selected a parsimonious set of 'local level' health, economic and hardship outcomes and linked them to 'local level' actions aimed to decrease COVID-19 health effects and to mitigate hardship for people, businesses and the economy. Data trends will be released frequently (e.g. weekly and monthly) to show changes in health economic and social hardship 'outcomes' (based on quantitative data), alongside policy, health care, public health and individual/social 'actions' (based on both qualitative and quantitative data).

RESULTS

Work on initial analytic and visualization prototypes of the COVID Compass is currently in progress at national, state and local levels.

CONCLUSION

Building a national, regional and local integrated database platform that captures upstream policies, actions and behaviors and links them to downstream health, economic and social hardship outcomes will offer a more comprehensive view of the data necessary for decision-makers and citizens to more effectively and intelligently monitor and mitigate harms caused by the pandemic.

Missed nursing care and complexity theory: a conceptual paper

Background

Missed nursing care is a complex healthcare problem. Extant literature in this area identifies several interventions that can be used in acute hospital settings to minimise the impact of missed nursing care. However, controversy still exists as to the effectiveness of these interventions on reducing the occurrence of missed nursing care.

Aim

This theoretical paper aimed to provide a conceptual understanding of missed nursing care using complexity theory.

Methods

The method utilised for this paper is based on a literature review on missed care and complexity theory in healthcare.

Results

We found that the key virtues of complexity theory relevant to the missed nursing care phenomenon were adaptation and self-organisation, non-linear interactions and history. It is suggested that the complex adaptive systems approach may be more useful for nurse managers to inform and prepare nurses to meet uncertain encounters in their everyday clinical practice and therefore reduce instances of missed care.

Conclusions

This paper envisions that it is time that methods used to explore missed care changed. Strategies proposed in this paper may have an important impact on the ability of nursing staff to provide quality and innovative healthcare in the modern healthcare system.

The relevance of the LEADS framework during the COVID-19 pandemic

COVID-19 has created a unique context for the practice of leadership in healthcare. Given the significant use of the LEADS in a Caring Environment capabilities framework (LEADS) in Canada's health system, it is important to document the relevancy of LEADS. The authors reviewed literature, conducted research, and reflected on their own experience to identify leadership practices during the pandemic and related them to LEADS. Findings are presented in three sections: Hindsight (before), Insight (during), and Foresight (post). We profile the issue of improving long-term Care to provide an example of how LEADS can be applied in crisis times. Our analysis suggests that while LEADS appears to specify the leadership capabilities needed, it requires adaptation to context. The vision Canada has for healthcare will dictate how LEADS will be used as a guide to leadership practice in the current context or to shape a bolder vision of healthcare's future.

Complex Adaptive Systems: A Framework for an Integrated Chronic Care Model

Chronic care management is a multidimensional phenomenon involving multilayered interaction, reaction, and adaptation responses to feedback within chronic care micro/macro- systems. Complex adaptive systems (CASs) consider interconnected dynamic relationships between discrete components of systems' internal and external environments. CAS is an applicable framework to examine components and networks within chronic care models. This article considers CAS as a framework for an alternate integrated patient-centered model that incorporates a holistic approach to chronic care. Recognizing relationships, behavioral patterns, and adaptive mechanisms informs health systems and health policy to influence service excellence improvements and quality of care and life within chronic disease populations.

The Relationship Between Childhood Adversity and Other Aspects of Clinical Complexity in Psychiatric Outpatients

Childhood abuse, neglect, and loss are common in psychiatric patients, and the relationship between childhood adversity and adult mental illness is well known. However, beyond diagnoses that are specifically trauma-related, such as posttraumatic stress disorder, there has been little research on how childhood adversity contributes to complex presentations that require more intensive treatment. We examined the relationship between childhood adversity and other contributors to clinical complexity in adult outpatients seeking mental health assessment. In a cross-sectional study, patients completed standard measures of psychological distress and functional impairment. Psychiatrists completed an inventory of clinical complexity, which included childhood abuse, neglect, and loss. Of 4,903 patients seen over 15 months, 1,315 (27%) both consented to research and had the measure of complexity completed. Childhood abuse or neglect was identified in 474 (36.0%) and significant childhood loss in 236 (17.9%). Correcting for multiple comparisons and controlling for psychiatric diagnosis, age, and sex, patients with childhood abuse or neglect were significantly more likely to also have 11 of 31 other indices of clinical complexity, with odds ratios ranging from 1.7 to 5.0. Both childhood abuse or neglect and childhood loss were associated with greater overall complexity (i.e., more indices of complexity, χ² = 136 and 38 respectively, each p < .001). Childhood abuse and neglect (but not childhood loss) were significantly associated with psychological distress (Kessler Psychological Distress Scale [K10] score, F = 6.2, p = .01) and disability (World Health Organization Disability Assessment Scale 2.0 [WHODAS 2.0] score, F = 5.0, p = .03). Childhood abuse and neglect were associated with many characteristics that contribute to clinical complexity, and thus to suboptimal outcomes to standard, guideline-based care. Screening may alert psychiatrists to the need for intensive, patient-centered, and trauma-informed treatments. Identifying childhood adversity as a common antecedent of complexity may facilitate developing transdiagnostic programs that specifically target sources of complexity.

Creating a healthcare variant CYNEFIN framework to improve leadership and urgent decision-making in times of crisis

Purpose

The complex and occasionally chaotic nature of health care has been previously described in the literature, as has the broadening recognition that different management approaches are required for different types of problems rather than a “one size fits all” approach. The CYNEFIN framework from Snowden outlines a consistent cognitive approach that offers the leader and leadership team an ability to urgently apply the correct actions to a given situation. This paper proposes a variant CYNEFIN approach for healthcare.

Design/methodology/approach

Consistent and accurate decision-making within health care is the hallmark of an effective and pragmatic leader and leadership team. An awareness of how one’s cognitive biases and heuristics may adversely impact on this cognitive process is paramount, as is an understanding of the calibration between fast and slow thinking.

Findings

The authors propose a variant CYNEFIN approach for health care of “act-probe-sense-respond” to resolve complex and time-critical emergency scenarios, using the differing contexts of a cardiac arrest and an evolving crisis management problem as examples. The variant serves as a pragmatic sense-making framework for the health-care leader and leadership team that can be adopted for many time-critical crisis situations.

Originality/value

The variant serves as a pragmatic sense-making framework for the health-care leader that can be adopted for many crisis situations.

Teaching non-technical skills: the patient centered approach

The surgical setting is a highly complex environment where, in ideal conditions, everything should be under control to ensure a positive outcome. However, the existing complexity opens the possibility for multiple failures along the process and many of those failures are related to what is call the non-technical skills of the members of the team. We cannot eradicate human error, but we can try to avoid future mistakes in our daily practice introducing the awareness for providing a high-quality care in which patient safety is crucial. This paper presents an easy approach to concepts and teaching possibilities of those non-technical skills.

Intravenous infusion practices across England and their impact on patient safety: a mixed-methods observational study

Background

Intravenous (IV) medication administration has traditionally been regarded to be error-prone with high potential for harm. A recent US multisite study revealed surprisingly few potentially harmful errors despite a high overall error rate. However, there is limited evidence about infusion practices in England and how they relate to prevalence and types of error.

Objectives

To determine the prevalence, types and severity of errors and discrepancies in infusion administration in English hospitals, and to explore sources of variation in errors, discrepancies and practices, including the contribution of smart pumps.

Design

Phase 1 comprised an observational point-prevalence study of IV infusions, with debrief interviews and focus groups. Observers compared each infusion against the medication order and local policy. Deviations were classified as either errors or discrepancies based on their potential for patient harm. Contextual issues and reasons for deviations were explored qualitatively during observer debriefs, and analytically in supplementary analyses. Phase 2 comprised in-depth observational studies at five of the participating sites to better understand causes of error and how safety is maintained. Workshops were held with key stakeholder groups, including health professionals and policy-makers, the public and industry.

Setting

Sixteen English NHS hospital trusts.

Results

Point-prevalence data were collected from 1326 patients and 2008 infusions. In total, 240 errors were observed in 231 infusions and 1489 discrepancies were observed in 1065 infusions. Twenty-three errors (1.1% of all infusions) were considered potentially harmful; one might have resulted in short-term patient harm had it not been intercepted, but none was judged likely to prolong hospital stay or result in long-term harm. Types and prevalence of deviations varied widely among trusts, as did local policies. Deviations from medication orders and local policies were sometimes made for efficiency or to respond to patient need. Smart pumps, as currently implemented, had little effect. Staff had developed practices to manage efficiency and safety pragmatically by working around systemic challenges.

Limitations

Local observers may have assessed errors differently across sites, although steps were taken to minimise differences through observer training, debriefs, and review and cleaning of data. Each in-depth study involved a single researcher, and these were limited in scale and scope.

Conclusions

Errors and discrepancies are common in everyday infusion administration but most have low potential for patient harm. Findings are best understood by viewing IV infusion administration as a complex adaptive system. Better understanding of performance variability to strategically manage risk may be more helpful for improving patient safety than striving to eliminate all deviations.

Future work

There is potential value in reviewing policy around IV infusion administration to reduce unnecessary variability, manage staff workload and engage patients, while retaining the principle that policy has to be fit for purpose, contextualised to the particular ward situation and treatment protocol, and sensitive to the risks of different medications. Further work on understanding infusion administration as a complex adaptive system might deliver new insights into managing patient safety.

Funding

This project was funded by the NIHR Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 7. See the NIHR Journals Library website for further project information.

Towards systematic evaluation of epidemic responses during humanitarian crises: a scoping review of existing public health evaluation frameworks

Epidemics continue to pose a significant public health threat to populations in low and middle-income countries. However, little is known about the appropriateness and performance of response interventions in such settings. We undertook a rapid scoping review of public health evaluation frameworks for emergency settings in order to judge their suitability for assessing epidemic response. Our search identified a large variety of frameworks. However, very few are suitable for framing the response to an epidemic, or its evaluation. We propose a generic epidemic framework that draws on elements of existing frameworks. We believe that this framework may potentially be of use in closing the gap between increasing global epidemic risk and the ability to respond effectively.

Make it complicated: a qualitative study utilizing a complexity framework to explain improvement in health care

BACKGROUND

Successful application of Quality Improvement (QI) methods is challenging, and awareness of the role context plays has increased. Complexity science has been advocated as a way to inform change efforts. However, empirical support is scarce, and it is still difficult to grasp the practical implications for QI interventions. The aim of this study was to use a complexity-based leadership framework to explain how managers in a clinical department addressed external requirements to cut costs without compromising patient outcomes and experience.

METHODS

Explanatory case study design of a Danish OB/GYN department tasked to improve efficiency. Data came from documents, 30 interviews, and 250 h of observations over 3 years. A Complexity Analysis Framework that combined two complexity-based leadership frameworks was developed to analyze all changes implemented to reduce cost, while maintaining clinical quality.

RESULTS

Managers reframed the efficiency requirement as an opportunity for quality improvement. Multiple simple, complicated, and complex situations were addressed with an adaptive approach to quality improvement. Changes were made to clinical pathways for individual conditions (n = 37), multiple conditions (n = 7), and at the organizational level (n = 9). At the organizational level, changes addressed referral practice, physical space in the department, flow and capacity, discharge speed, and managerial support. Managers shared responsibility with staff; together they took a "professional path" and systematically analyzed each clinical pathway through process mapping, attentive to patterns that emerged, before deciding on the next steps, such as a engaging in a complex process of probing - the iterative development and testing of new responses.

CONCLUSIONS

Quality improvement efforts could benefit from an understanding of the importance of learning and sharing responsibility to deal with the co-existing degrees of contextual complexity in modern health care. By "making things complicated" through a systematic analysis that engages staff in an open and reflective dialog, clinical praxis and established organizational structures can be questioned and improved. The Complexity Analysis Framework could then help managers to identify improvement opportunities, know when to implement technical solutions, and when to keep abreast of emerging patterns and allow appropriate responses to complex challenges to evolve.

Intravenous Infusion Administration: A Comparative Study of Practices and Errors Between the United States and England and Their Implications for Patient Safety

INTRODUCTION

Intravenous medication administration is widely reported to be error prone. Technologies such as smart pumps have been introduced with a view to reducing these errors. An international comparison could provide evidence of their effectiveness, including consideration of contextual factors such as regulatory systems and local cultures.

OBJECTIVES

The aim of this study was to investigate similarities and differences in practices and error types involving intravenous medication administration in the United States and England, and summarise methodological differences necessary to perform these parallel studies.

METHODS

We drew on findings of separate point prevalence studies conducted across hospitals in each country. In these, we compared what was being administered at the time of observation with the prescription and relevant policies, errors were classified by type and severity, and proportions of infusions featuring each error type were calculated. We also reviewed what adaptations to the US protocol were needed for England. Authors independently reviewed findings from both studies and proposed themes for comparison. In online meetings, each country's research team clarified assumptions and explained their findings.

RESULTS

Key themes included commonalities and contrasts in methods, findings, practices and policies. Although US sites made greater use of smart infusion devices, and had more precisely defined requirements around infusion device use, patterns of errors were similar. Differences among clinical contexts within each country were as marked as differences across countries. Regulatory and quality control systems shape practices, but causal relationships are complex.

CONCLUSION

Infusion administration is a complex adaptive system with multiple interacting agents (professionals, patients, software systems, etc.) that respond in rich ways to their environments; safety depends on complex, interrelated factors.

Medicina Tradicional Complementar e Integrativa: desafios para construir um modelo de avaliação do cuidado

Resumo A complexidade e a diversidade do que se propõe sob a lógica da Medicina Tradicional Complementar e Integrativa (MTCI) constituem um desafio para os interessados em evidências de sua efetividade. Seu crescimento, oferta e uso justificam a necessidade de construir referenciais metodológicos mais complexos e mais adequados para explicitar a singularidade do cuidado e a diversidade de suas técnicas. Este artigo, partindo de uma revisão narrativa da literatura, visa contribuir para a construção de um modelo de avaliação que, centrado na compreensão da singularidade e nas diversas dimensões do cuidado, busca refletir sobre os desafios de se buscar evidências do êxito terapêutico. O modelo proposto tem como base as abordagens qualitativas em saúde em que experiências dos agentes envolvidos (profissionais e usuários) no processo terapêutico ganham centralidade. Avaliar a efetividade do cuidado significa reconhecer a cadeia de processos interligados e suas diversas dimensões: acolhimento, diálogo, diagnóstico, ação e resultados alcançados.

Conceptualizing Health Promotion in Relation to Outpatient Healthcare Building Design: A Scoping Review

OBJECTIVE:

This review explored different conceptualizations of health promotion in the context of, and in relation to, outpatient building design.

BACKGROUND:

Today's healthcare organizations are implementing holistic healthcare approaches such as health promotion, while simultaneously increasing their outpatient services. These health promotion approaches, focused on empowering people to take control of their health, are expected to have implications for the outpatient healthcare building design. Yet there is limited knowledge what these may be. A review of the literature on the current state of the art is thus needed to enable and support dialog on future healthcare building design.

METHOD:

A scoping review of 4,506 papers, collected from four databases and three scientific journals in 2015, resulted in 14 papers relating health promotion to building design and outpatient healthcare. From the subsequent content analysis, multiple common themes and subthemes emerged.

RESULTS:

The review reveals diverse range of health promotion interpretations, three health promotion perspectives (health behavior, health equity, and sense of coherence), associated design approaches, design objectives, health-related outcomes, building features, and solutions.

CONCLUSIONS:

While diverse health promotion perspectives might merely represent variations in focus, these differences become problematic when relating to building design. To support further dialogs on development of health promotion in, and in relation to, the build environment, there is a need to strengthen the health promotion vocabulary. Further research is needed to compare different design approaches and how these can be combined to minimize contradicting implications for building design.

The significance of DOHaD for Small Island Developing States

Small Island Developing States (SIDS) are island nations that experience specific social, economic and environmental vulnerabilities associated with small populations, isolation and limited resources. Globally, SIDS exhibit exceptionally high rates of non-communicable disease (NCD) risk and incidence. Despite this, there is a lack of context-specific research within SIDS focused on life course approaches to NCD prevention, particularly the impact of the early-life environment on later disease risk as defined by the Developmental Origins of Health and Disease (DOHaD) framework. Given that globalization has contributed to significant nutritional transitions in these populations, the DOHaD paradigm is highly relevant. SIDS in the Pacific region have the highest rates of NCD risk and incidence globally. Transitions from traditional foods grown locally to reliance on importation of Western-style processed foods high in fat and sugar are common. The Cook Islands is one Pacific SIDS that reports this transition, alongside rising overweight/obesity rates, currently 91%/72%, in the adult population. However, research on early-life NCD prevention within this context, as in many low- and middle-income countries, is scarce. Although traditional research emphasizes the need for large sample sizes, this is rarely possible in the smaller SIDS. In these vulnerable, high priority countries, consideration should be given to utilizing 'small' sample sizes that encompass a high proportion of the total population. This may enable contextually relevant research, crucial to inform NCD prevention strategies that can contribute to improving health and well-being for these at-risk communities.

Is oculofacial surgery complex … or merely complicated?

PURPOSE OF REVIEW

There is confusion in all of healthcare, including oculofacial surgery, as to what is 'complex' and what is 'merely complicated'. Although in common usage, these terms tend to be interchangeable, the distinction is more than trivial. A different and somewhat unfamiliar toolset is needed to successfully navigate complex problems. This review will explore a methodology for the physician to understand what is complex in oculofacial surgery, the tools needed to optimize performance in a complex healthcare system and successfully manage patients with complex diseases.

RECENT FINDINGS

A specific understanding of complexity science in oculofacial surgery is only in its nascent beginnings at this point. Nevertheless, recent advances in closely related fields can provide concrete applications. The practice of oculofacial surgery is optimized within a healthcare network of supporting professionals. Moreover, a newer understanding of the 'complex' nature of disease common to oculofacial surgery, such as neoplasia and inflammation, will direct the physician to recognize the most appropriate therapies.

SUMMARY

Oculofacial surgery, like all of medicine, is a fluid mixture of problems that are complex and those that are merely complicated. As a different toolset is needed to deal with each, physicians need to recognize these differences and acquire those tools.

Cynefin as Reference Framework to Facilitate Insight and Decision-Making in Complex Contexts of Biomedical Research

The Cynefin scheme is a concept of knowledge management, originally devised to support decision making in management, but more generally applicable to situations, in which complexity challenges the quality of insight, prediction, and decision. Despite the fact that life itself, and especially the brain and its diseases, are complex to the extent that complexity could be considered their cardinal feature, complex problems in biomedicine are often treated as if they were actually not more than the complicated sum of solvable sub-problems. Because of the emergent properties of complex contexts this is not correct. With a set of clear criteria Cynefin helps to set apart complex problems from “simple/obvious,” “complicated,” “chaotic,” and “disordered” contexts in order to avoid misinterpreting the relevant causality structures. The distinction comes with the insight, which specific kind of knowledge is possible in each of these categories and what are the consequences for resulting decisions and actions. From student's theses over the publication and grant writing process to research politics, misinterpretation of complexity can have problematic or even dangerous consequences, especially in clinical contexts. Conceptualization of problems within a straightforward reference language like Cynefin improves clarity and stringency within projects and facilitates communication and decision-making about them.

Leadership emergence: the application of the Cynefin framework during a bio-social HIV/AIDS risk-reduction pilot

This article focuses on the utility of a knowledge management heuristic called the Cynefin framework, which was applied during an ongoing pilot intervention in the Limpopo province, South Africa. The intervention aimed to identify and then consolidate low-cost, innovative bio-social responses to reinforce the biomedical opportunities that now have the potential to "end AIDS by 2030″. The Cynefin framework is designed to enable leaders to identify specific decision-making domain typologies as a mechanism to maximise the effectiveness of leadership responses to both opportunities and challenges that emerge during interventions. In this instance the Cynefin framework was used to: (1) provide an indication to the project managers whether the early stages of the intervention had been effective; (2) provide the participants an opportunity to identify emergent knowledge action spaces (opportunities and challenges); and (3) categorise them into appropriate decision-making domains in preparation for the next phases of the intervention. A qualitative methodology was applied to collect and analyse the findings. The findings indicate that applying the Cynefin framework enabled the participants to situate knowledge action spaces into appropriate decision-making domains. From this participatory evaluation a targeted management strategy was developed for the next phases of the initiative. The article concludes by arguing that the Cynefin framework was an effective mechanism for situating emergent knowledge action spaces into appropriate decision-making domains, which enabled them to prepare for the next phases of the intervention. This process of responsive decision making could have utility in other development related interventions.

Realizing the Potential of Adolescence to Prevent Transgenerational Conditioning of Noncommunicable Disease Risk: Multi-Sectoral Design Frameworks

Evidence from the field of Developmental Origins of Health and Disease (DOHaD) demonstrates that early life environmental exposures impact later-life risk of non-communicable diseases (NCDs). This has revealed the transgenerational nature of NCD risk, thus demonstrating that interventions to improve environmental exposures during early life offer important potential for primary prevention of DOHaD-related NCDs. Based on this evidence, the prospect of multi-sectoral approaches to enable primary NCD risk reduction has been highlighted in major international reports. It is agreed that pregnancy, lactation and early childhood offer significant intervention opportunities. However, the importance of interventions that establish positive behaviors impacting nutritional and non-nutritional environmental exposures in the pre-conceptual period in both males and females, thus capturing the full potential of DOHaD, must not be overlooked. Adolescence, a period where life-long health-related behaviors are established, is therefore an important life-stage for DOHaD-informed intervention. DOHaD evidence underpinning this potential is well documented. However, there is a gap in the literature with respect to combined application of theoretical evidence from science, education and public health to inform intervention design. This paper addresses this gap, presenting a review of evidence informing theoretical frameworks for adolescent DOHaD interventions that is accessible collectively to all relevant sectors.

Expanding the prevention armamentarium portfolio: a framework for promoting HIV-Conversant Communities within a complex, adaptive epidemiological landscape

The article describes a design journey that culminated in an HIV-Conversant Community Framework that is now being piloted in the Limpopo Province of South Africa. The objective of the initiative is to reduce the aggregate community viral load by building capacity at multiple scales that strengthens peoples' HIV-related navigational skill sets-while simultaneously opening a 'chronic situation' schema. The framework design is based upon a transdisciplinary methodological combination that synthesises ideas and constructs from complexity science and the management sciences as a vehicle through which to re-conceptualise HIV prevention. This resulted in a prototype that included the following constructs: managing HIV-prevention in a complex, adaptive epidemiological landscape; problematising and increasing the scope of the HIV knowledge armamentarium through education that focuses on the viral load and Langerhans cells; disruptive innovation and safe-fail probes followed by the facilitation of path creations and pattern management implementation techniques. These constructs are underpinned by a 'middle-ground' prevention approach which is designed to bridge the prevention 'fault line', enabling a multi-ontology conceptualisation of the challenge to be developed. The article concludes that stepping outside of the 'ordered' epistemological parameters of the existing prevention 'messaging' mind-set towards a more systemic approach that emphasises agency, structure and social practices as a contribution to 'ending AIDS by 2030' is worthy of further attention if communities are to engage more adaptively with the dynamic HIV landscape in South Africa.

Non-disruptive knowledge and business processing in knowledge life cycles – aligning value network analysis to process management

Purpose

– This paper aims to achieve fully intertwined knowledge and business processing in change processes. It proposes streamlining situated articulation work, value network analyses (VNA) and subject-oriented business process modelling (S-BPM) and execution to provide non-disruptive single and double learning processes driven by concerned stakeholders. When implementing knowledge life cycles, such as Firestone and McElroy’s knowledge life cycle, the agility of organizations is significantly constrained, in particular, when surviving knowledge claims should be implemented in the business processing environment in a seamless way.

Design/methodology/approach

– The contribution is based on a conceptual analysis of knowledge life cycle implementations, learning loop developments and an exploratory case study in health care to demonstrate the effectiveness of the proposed approach. The solution towards non-disruptive knowledge and business processing allows stakeholders to actively participate in single- and double-loop learning processes.

Findings

– The introduced approach supports problem and knowledge claim formulation, knowledge claim evaluation and non-disruptive knowledge integration into a business process environment. Based on stakeholder articulation, the steps to follow are: holomapping, exchange analysis, impact analysis, value creation analysis, subject-oriented modelling, business process validation and execution. Seamless support of stakeholders is enabled through the direct mapping of stakeholder and activity descriptions from value network representations to behaviour specifications (process models) on the individual and organizational layer.

Research limitations/implications

– Current knowledge life cycle developments and implementations can now be analyzed in a structured way. Elements of the proposed approach could be integrated in disruptive implementations to overcome current limitations of knowledge life cycles. However, further case studies need to be performed to identify hindrances or barriers of combining VNA and S-BPM, both on the technological and methodological layer. What works for expert service industries might need to be adapted for production industries, and tools or tool chains might need to be configured accordingly. Finally, the socio-economic impact of the approach needs to be explored.

Practical implications

– The presented case study from health care reveals the potential of such a methodological combination, as cycle times can be reduced, in particular, due to the execution of role-specific process models in the respective business processing environment. It can be considered as a fundamental shift for existing change management procedures, as they require rework of the entire functional process models when addressing business processing. Now, stakeholder- or role-specific behaviour can be handled isolated and in parallel, without affecting the entire organization in case of modifications.

Originality/value

– The proposed methodological integration has not been done before. It enables stakeholders to perform single- and double-loop change processes in a seamless way.

Nine questions to guide development and implementation of Health in All Policies

Based on the policy science literature, we formulate nine core questions that can guide the formulation, negotiation, development and implementation of Health in All Policies (HiAP). Each question is grounded in the political and policy science literature and culminates in checklist items that HiAP developers must consider.

Scientometric trends and knowledge maps of global health systems research

BACKGROUND

In the last few decades, health systems research (HSR) has garnered much attention with a rapid increase in the related literature. This study aims to review and evaluate the global progress in HSR and assess the current quantitative trends.

METHODS

Based on data from the Web of Science database, scientometric methods and knowledge visualization techniques were applied to evaluate global scientific production and develop trends of HSR from 1900 to 2012.

RESULTS

HSR has increased rapidly over the past 20 years. Currently, there are 28,787 research articles published in 3,674 journals that are listed in 140 Web of Science subject categories. The research in this field has mainly focused on public, environmental and occupational health (6,178, 21.46%), health care sciences and services (5,840, 20.29%), and general and internal medicine (3,783, 13.14%). The top 10 journals had published 2,969 (10.31%) articles and received 5,229 local citations and 40,271 global citations. The top 20 authors together contributed 628 papers, which accounted for a 2.18% share in the cumulative worldwide publications. The most productive author was McKee, from the London School of Hygiene & Tropical Medicine, with 48 articles. In addition, USA and American institutions ranked the first in health system research productivity, with high citation times, followed by the UK and Canada.

CONCLUSIONS

HSR is an interdisciplinary area. Organization for Economic Co-operation and Development countries showed they are the leading nations in HSR. Meanwhile, American and Canadian institutions and the World Health Organization play a dominant role in the production, collaboration, and citation of high quality articles. Moreover, health policy and analysis research, health systems and sub-systems research, healthcare and services research, health, epidemiology and economics of communicable and non-communicable diseases, primary care research, health economics and health costs, and pharmacy of hospital have been identified as the mainstream topics in HSR fields. These findings will provide evidence of the current status and trends in HSR all over the world, as well as clues to the impact of this popular topic; thus, helping scientific researchers and policy makers understand the panorama of HSR and predict the dynamic directions of research.

A strategic approach to making sense of the “wicked” problem of ERM

Purpose

The purpose of this paper is to provide an approach to viewing the “wicked” problem of electronic records management (ERM), using the Cynefin framework, a sense‐making tool. It re‐conceptualises the ERM challenge by understanding the nature of the people issues. This supports decision making about the most appropriate tactics to adopt to effect positive change.

Design/methodology/approach

Cynefin was used to synthesise qualitative data from an empirical research project that investigated strategies and tactics for improving ERM.

Findings

ERM may be thought of as a dynamic, complex challenge but, viewed through the Cynefin framework, many issues are not complex; they are simple or complicated and can be addressed using best or good practice. The truly complex issues need a different approach, described as emergent practice. Cynefin provides a different lens through which to view, make sense of and re‐perceive the ERM challenge and offers a strategic approach to accelerating change.

Research limitations/implications

Since Cynefin has been applied to one data set, the findings are transferrable not generalisable. They, and/or the approach, can be used to further test the propositions.

Practical implications

The resultant ERM framework provides a practical example for information and records managers to exploit or use as a starting point to explore the situation in particular organisational contexts. It could also be used in other practical, teaching and/or research‐related records contexts.

Originality/value

This paper provides a new strategic approach to addressing the wicked problem of ERM, which is applicable for any organisational context.

Understanding the determinants of antimicrobial prescribing within hospitals: the role of "prescribing etiquette"

Prescribing etiquette is an important determinant of antimicrobial prescribing behaviors. Prescribing etiquette recognizes clinical decision-making autonomy and the role of hierarchy in influencing practice. Existing clinical groups and clinical leadership should be utilized to influence antimicrobial prescribing behaviors.

Background. There is limited knowledge of the key determinants of antimicrobial prescribing behavior (APB) in hospitals. An understanding of these determinants is required for the successful design, adoption, and implementation of quality improvement interventions in antimicrobial stewardship programs.

Methods. Qualitative semistructured interviews were conducted with doctors (n = 10), pharmacists (n = 10), and nurses and midwives (n = 19) in 4 hospitals in London. Interviews were conducted until thematic saturation was reached. Thematic analysis was applied to the data to identify the key determinants of antimicrobial prescribing behaviors.

Results. The APB of healthcare professionals is governed by a set of cultural rules. Antimicrobial prescribing is performed in an environment where the behavior of clinical leaders or seniors influences practice of junior doctors. Senior doctors consider themselves exempt from following policy and practice within a culture of perceived autonomous decision making that relies more on personal knowledge and experience than formal policy. Prescribers identify with the clinical groups in which they work and adjust their APB according to the prevailing practice within these groups. A culture of “noninterference” in the antimicrobial prescribing practice of peers prevents intervention into prescribing of colleagues. These sets of cultural rules demonstrate the existence of a “prescribing etiquette,” which dominates the APB of healthcare professionals. Prescribing etiquette creates an environment in which professional hierarchy and clinical groups act as key determinants of APB.

Conclusions. To influence the antimicrobial prescribing of individual healthcare professionals, interventions need to address prescribing etiquette and use clinical leadership within existing clinical groups to influence practice.