Skip to main content
BMJ Open Quality logoLink to BMJ Open Quality
. 2020 Mar 24;9(1):e000714. doi: 10.1136/bmjoq-2019-000714

Development and application of ‘systems thinking’ principles for quality improvement

Duncan McNab 1,2, John McKay 1, Steven Shorrock 3,4, Sarah Luty 1, Paul Bowie 1,2,
PMCID: PMC7103793  PMID: 32209593

Abstract

Introduction

‘Systems thinking’ is often recommended in healthcare to support quality and safety activities but a shared understanding of this concept and purposeful guidance on its application are limited. Healthcare systems have been described as complex where human adaptation to localised circumstances is often necessary to achieve success. Principles for managing and improving system safety developed by the European Organisation for the Safety of Air Navigation (EUROCONTROL; a European intergovernmental air navigation organisation) incorporate a ‘Safety-II systems approach’ to promote understanding of how safety may be achieved in complex work systems. We aimed to adapt and contextualise the core principles of this systems approach and demonstrate the application in a healthcare setting.

Methods

The original EUROCONTROL principles were adapted using consensus-building methods with front-line staff and national safety leaders.

Results

Six interrelated principles for healthcare were agreed. The foundation concept acknowledges that ‘most healthcare problems and solutions belong to the system’. Principle 1 outlines the need to seek multiple perspectives to understand system safety. Principle 2 prompts us to consider the influence of prevailing work conditions—demand, capacity, resources and constraints. Principle 3 stresses the importance of analysing interactions and work flow within the system. Principle 4 encourages us to attempt to understand why professional decisions made sense at the time and principle 5 prompts us to explore everyday work including the adjustments made to achieve success in changing system conditions.

A case study is used to demonstrate the application in an analysis of a system and in the subsequent improvement intervention design.

Conclusions

Application of the adapted principles underpins, and is characteristic of, a holistic systems approach and may aid care team and organisational system understanding and improvement.

Keywords: quality improvement, human factors, complexity

Introduction

Adopting a ‘systems thinking’ approach to improvement in healthcare has been recommended as it may improve the ability to understand current work processes, predict system behaviour and design modifications to improve related functioning.1–3 ‘Systems thinking’ involves exploring the characteristics of components within a system (eg, work tasks and technology) and how they interconnect to improve understanding of how outcomes emerge from these interactions. It has been proposed that this approach is necessary when investigating incidents where harm has, or could have, occurred and when designing improvement interventions. While acknowledged as necessary, ‘systems thinking’ is often misunderstood and there does not appear to be a shared understanding and application of related principles and approaches.4–6 There is a need, therefore, for an accessible exposition of systems thinking.

Systems in healthcare are described as complex. In such systems it can be difficult to fully understand how safety is created and maintained.7 Complex systems consist of many dynamic interactions between people, tasks, technology, environments (physical, social and cultural), organisational structures and external factors.8–10 Care system components can be closely ‘coupled’ to other system elements and so change in one area can have unpredicted effects elsewhere with non-linear, cause–effect relations.11 The nature of interactions results in unpredictable changes in system conditions (such as patient demand, staff capacity, available resources and organisational constraints) and goal conflicts (such as the frequent pressure to be efficient and thorough).12 13 To achieve success, people frequently adapt to these system conditions and goal conflicts. But rather than being planned in advance, these adaptations are often approximate responses to the situations faced at the time.14 Therefore, to understand safety (and other emergent outcomes such as workforce well-being) we need to look beyond the individual components of care systems to consider how outcomes (wanted and unwanted) emerge from interactions in, and adaptations to, everyday working conditions.14

Despite the complexity of healthcare systems, we often appear to treat problems and issues in simple, linear terms.15–17 In simple systems (eg, setting your alarm clock to wake you up) and many complicated systems (eg, a car assembly production line) ‘cause and effect’ are often linked in a predictable or linear manner. This contrasts sharply with the complexity, dynamism and uncertainty associated with much of healthcare practice.1 7 18 For example, in a study to evaluate the impact of a comprehensive pharmacist review of patients’ medication after hospital discharge, the linear perspective suggested that this specific intervention would improve the safety and quality of medication regimens and so reduce healthcare utilisation.19 Unexpectedly the opposite result was observed. The authors suggested that this emergent outcome may have been due to the increased number of interactions with different healthcare professionals increasing the complexity of care resulting in greater anxiety, confusion and dependence on healthcare workers.

Analyses of safety issues in healthcare routinely examine how safety is destroyed or degraded but have surprisingly little to say about how it is created and maintained. In the UK, like many parts of the world, root cause analysis is the recommended method for analysing events with an adverse outcome.20 At its best, this should take a ‘systems approach’ to identify latent system conditions that interacted and contributed to the event and recommend evidence-based change to reduce the risk of recurrence.20 However, we find that the results of such analyses are commonly based on linear ‘cause and effect’ assumptions and thinking.15 16 21 22 Despite allusions to ‘root causes’, investigation approaches have a tendency to focus on single system elements such as people and/or items of equipment, rather than attempting to understand the interacting relationships and dependencies between people and other elements of the sociotechnical system from which safety performance and other outcomes in complex systems emerge.21 By focusing on components in isolation, proposed improvement interventions risk unintended consequences in other parts of the systems and enhanced performance of the targeted component rather than the overall system. The validity of focusing on relatively infrequent, unwanted events has been questioned as it does not always reveal how wanted outcomes usually occur and may limit our learning on how to improve care.22

Despite much related activity internationally, the impact of current safety improvement efforts in healthcare is limited.23–25 Similar to other safety-critical industrial sectors, such as nuclear power or air traffic control, there is a growing realisation in healthcare that exploring how safety is created in complex systems may add value to existing learning and improvement efforts. The European Organisation for the Safety of Air Navigation (EUROCONTROL), a pan-European intergovernmental air navigation organisation, published a white paper, Systems Thinking for Safety: Ten Principles.26 This sets out a way of thinking about safety in organisations that aligns with systems thinking and applies ‘Safety-II’ principles, for which there is also growing interest in healthcare.27 This latter approach attempts to explain and potentially resolve some of the ‘intractable problems’ associated with complex systems such as those found in healthcare, which traditional safety management thinking and responses (termed Safety-I) have struggled to adequately understand and improve on.28 The Safety-II approach aims to increase the number of events with a positive outcome by exploring and understanding how everyday work is done under different conditions and contexts. This can lead to a more informed appreciation of system functioning and complexity that may facilitate a deeper understanding of safety within systems.29 30

In this paper, we describe principles for systems thinking in healthcare that have been adapted and contextualised from the themes within the EUROCONTROL ‘Systems Thinking for Safety’ white paper. Our goal was to provide an accessible framework to explore how work is done under different conditions to facilitate a deeper understanding of safety within systems. A case report applying these principles to healthcare systems is described to illustrate systems thinking in everyday clinical practice and how this may inform quality improvement (QI) work.

Adaptation of EUROCONTROL Systems Thinking Principles

A participatory codesign approach31 was employed with informed stakeholders.32 33 First, in March 2016, a 1-day systems thinking workshop was held for participants who held a variety of roles in front-line primary care (general practitioners (GP), practice nurses, practice managers and community pharmacists) and National Health Service (NHS) Scotland patient safety leaders (table 1). The relevance and applicability of the EUROCONTROL white paper system principles were explored through presentations and discussion led by two experts in the field (including the original lead author of this document—SS). This was followed by a facilitated small group simulation exercise to apply the 10 principles to a range of clinical and administrative healthcare case studies (online supplementary appendix 1) (figure 1).

Table 1.

Characteristics of attendees at Stage 1—‘Systems thinking’ workshop

Profession Years of professional experience
Improvement advisor with national role in patient safety 7
General practitioner with national role in patient safety >15
Pharmacist with national role in patient safety >15
Practice nurse with national leadership role >15
Practice nurse with national role in quality and safety >15
General practitioner with regional role in patient safety 5
General practitioner with national role in patient safety 14
General practitioner and academic >15
General practitioner with national role in patient safety >15
National programme director for patient safety >15
Front-line advanced nurse practitioner in general practice >15
Practice manager with national leadership role 7
Front-line general practice manager 8
Front-line general practice manager >15
Regional lead for pharmacy in primary care clinical governance >15

Figure 1.

Figure 1

Systems Thinking for Everyday Work model.

Supplementary data

bmjoq-2019-000714supp001.pdf (46.3KB, pdf)

Second, two rounds of consensus building using the Questback online survey tool were undertaken with workshop participants in April and July 2016.34

Finally, in May 2017, two 90 min workshops were held to test and refine the adapted principles with primary and secondary care medical appraisers (experienced medical practitioners with responsibility for the critical review of improvement and safety work performed by front-line peers).

At each stage, feedback was collected and analysed to identify themes related to applicability including wording, merging and missing principles. These themes directed the modification of the original principles and descriptors, which were then used at the next stage of development.

Throughout the process, external guidance and ‘sense-checking’ were provided by a EUROCONTROL human factors expert and lead author of the original systems thinking for safety white paper. While we believe the outputs from this work are generically applicable to all healthcare contexts, we have focused on the primary care setting for pragmatic purposes. The agreed principles are illustrated graphically in the Systems Thinking for Everyday Work (STEW) conceptual model (figure 1), and detailed descriptions are provided in online supplementary appendix 2.

Supplementary data

bmjoq-2019-000714supp002.pdf (75.7KB, pdf)

Patient and public involvement

Patients and the public were not involved in the design of the study or the adaptation of the principles. The presented case study included a patient in the application of the principles to analyse the system. A service user read and commented on the manuscript and their feedback was incorporated into the final paper.

Systems Thinking for Everyday Work

The STEW principles consist of six inter-related principles (figure 1, tables 2 and 3, online supplementary appendix 2). A fundamental, overarching conclusion is that the principles should not be viewed as isolated ideas, but instead as inter-related and interdependent concepts that can aid our understanding of complex work processes to better inform safety and improvement work by healthcare teams and organisations.

Table 2.

Adaptation of Systems Thinking Principles

EUROCONTROL’s 10 system principles for safety Principles sent as first electronic survey Number (%) who agreed the principle is important in systems thinking in care
n=14
Number (%) who agreed that the wording of this concept makes sense, is unambiguous and understandable
n=14
Principles sent as second electronic survey Number (%) who agreed the principle is important in systems thinking in care
n=14
Number (%) who agreed that the wording of this concept makes sense, is unambiguous and understandable
n=14
Final principles after adaptation at appraisers’ workshop (note order changed after feedback from appraisers)
The foundation concept: system focus Foundation principle: system focus 13 (93) 10 (71) Foundation concept 13 (93) 14 (100) Foundation concept
Field expert involvement Field expert involvement 13 (93) 8 (57) Seek multiple perspectives 13 (93) 14 (100) Seek multiple perspectives
Local rationality Local rationality 13 (93) 13 (93) Understand why decisions make sense at the time 14 (100) 13 (93) Understand why decisions make sense at the time
Just culture Just culture 12 (86) 9 (64)
Demand and pressure Demand and pressure 13 (93) 8 (57) Consider work conditions 14 (100) 14 (100) Consider work conditions
Resource and constraints Resources and constraints 10 (71) 10 (71)
Interactions and flow Interactions and flows 13 (93) 8 (57) Analyse interactions and flow 14 (100) 13 (93) Analyse interactions and flow
Trade-offs Trade-offs and performance variability 13 (93) 9 (64) Consider performance variability 14 (100) 14 (100) Consider performance variability
Performance variability
Emergence Equivalence and emergence 13 (93) 13 (93) Explore everyday work 14 (100) 13 (93) (Removed as application of principles as a whole defines everyday work)
Equivalence

EUROCONTROL, European Organisation for the Safety of Air Navigation.

Table 3.

Analysis of GP-based pharmacist work system

A health board employed pharmacist had been working at a GP practice for 2 months. She worked in the practice in the mornings and at a neighbouring practice in the afternoons. One task she completed was reconciling medication changes after hospital discharge which was previously undertaken by GPs. Their introduction had not had the desired impact and a meeting was held between relevant parties who used the STEW principles to reach a shared understanding of the system and design system improvements.
Principle Application of principle to the issue
Foundation concept Purpose of system
  • They agreed that the purpose was to reduce GP workload and increase the quality of prescribing by improving safety and effectiveness of prescribed medication and reducing costs and waste.


Agree boundaries
  • They agreed to consider the practice and their patients and the effects on linked systems such as community pharmacy and secondary care.

Seek multiple perspectives Practice-based pharmacist
  • Trained to follow the protocol and felt their role was predominantly to ensure there was no harm from prescribed medication.

  • Often contacted secondary care to determine if medication that was not included on the list of discharge medications was meant to be stopped or if it had been missed unintentionally.

  • Felt a pressure from GP practice to complete work quickly and from local pharmacy leads to make cost saving switches.


GPs
  • Felt that unnecessary work was created. For example, adding new medications to prescribing list for a limited time period. This results in a review being needed at the end of this time.


GP administrative staff (including the practice manage)
  • Were able to ask the pharmacist to address community pharmacy or secondary care queries pharmacist more easily than a GP as they were not with patients. This reduced stress experienced by the admin team. However, processing was delayed resulting in complaints from patients to the administrative staff.


Patient representative
  • Liked having access to the pharmacist to discuss medication problems after discharge but also had heard of delays for fellow patients.


Community pharmacists
  • Felt it was beneficial to be able to contact pharmacist and discuss queries about medication—access was much easier than if they had to speak to a GP.


Local pharmacy clinical lead
  • Noted a reduction in ‘cost savings work’ and formulary compliance—fewer medications had been changed to those recommended locally based on efficacy and cost.


Secondary care representative (a pharmacist who was usually based on an acute medical ward)
  • Noted a large volume of telephone calls from GP practice-based pharmacists regarding queries about discharge letters.

Consider work conditions Demand/capacity
  • Local protocols stated that medication reconciliation should be completed within 7 days. On Mondays there were always more discharge letters than on other days but there were also a larger number of other prescribing tasks that required to be processed within a shorter time frame.


Resources
  • Practice-based pharmacists spent a lot of time telephoning hospital colleagues to clarify medication changes. The secondary care pharmacist explained that the hospital electronic prescribing system could provide this information.


Constraints
  • Information was often missing from immediate discharge letters from hospital, such as medications that patients usually took were not included on the discharge list and no reason for stopping them was included.

  • Protocols for completion of medication reconciliation were very prescriptive, stating when pharmacists should seek extra information about prescribing tasks (such as ‘missing’ medication). They also stated that once changes are made these should always be discussed with the patient or carer.


Leading indicators
  • The pharmacist recognised that certain situations were a higher risk and would take longer and had the potential to increase GP work if these were not processed accurately. These included:

    • Medication supplied by the community pharmacy in a compliance aid (a blister pack)—had to make sure the community pharmacy was aware of changes and old compliance aids were removed.

    • High-risk medications such as anticoagulants—pharmacists often recalculated to ensure correct doses suggested by hospital.

    • Medication reconciliation for patients in nursing homes—pharmacists had to ensure that they had correct medication as the nursing homes often phoned late on Fridays to ask for prescription items.

Analyse interactions and flow Interactions and flow
  • Telephoning secondary care increased workload in secondary care and slowed the process of completing tasks which meant there was a delay in some patients receiving their medication.

  • Contacting some patients seemed to increase confusion about medication regimes.

  • Interactions with community pharmacies were very useful to ensure changes were communicated and that the correct medications were supplied. Patients appreciated the GP practice and the community pharmacy communicating after discharge to ensure medications were correct.

  • The pharmacist found it difficult to find a GP with which to discuss prescribing problems. At the end of GP surgeries they often went out on visits just as the pharmacist had to leave for another practice.

Understand why decisions make sense at the time
  • Pharmacists added limits to the number of times medications could be issued as they wanted to make sure monitoring of medication took place.

  • Similarly, they contacted hospitals to check medication as they felt their goal was to reduce the chance of medication-related harm.

  • Pharmacists were worried that if they did not follow the protocol and a patient came to harm that they would be blamed. They had, however, begun to deviate from the protocol at times (see below).

Explore performance variability GPs and the pharmacist discussed the different ways they completed medication reconciliation and identified workarounds and trade-offs that would help achieve the goals of the system (reduced workload and increased quality).
  • For short admissions and those to certain specialties (eg, orthopaedics), medication changes were less likely and so if medication was missing from a discharge letter they presumed this was a mistake and did not check with secondary care.

  • Pharmacists realised that sometimes it was quicker to check with the patient if medication had been intentionally stopped while in hospital. The patient representative felt most patients would find this approach reasonable.

  • The pharmacist recognised the trade-off between reduction in workload and increasing quality. This meant they did not make changes to local recommendations in order to process more prescription tasks.

GP, general practitioner; STEW, Systems Thinking for Everyday Work.

Foundation concept

The foundation concept acknowledges that ‘most healthcare problems and solutions belong to the system’. This emphasises that the aim of applying a systems approach is to improve overall system functioning and not the functioning of one individual component within a system. For example, improving clinical assessments will not improve overall system performance unless patients can access assessments appropriately.

All systems interact with other systems, but out of necessity those analysing the system need to agree boundaries for the analysis. This may mean the GP practice building, a single hospital ward, the emergency department, a pharmacy or nursing home. Despite this, it is important to remember that external factors will influence the system under study and changes may have effects in parts of the system outside the boundary.

Multiple perspectives

Appreciate that people, at all organisational levels and regardless of responsibilities and hierarchical status, are the local experts in the work they do. Exploring the different perspectives held by these people, especially in relation to the other principles, is crucial when analysing incidents and designing and implementing change.

System conditions

Obtaining multiple perspectives allows an exploration of variability in demand and capacity, availability of resources (such as information or physical resources) and constraints (such as guidance that directs work to be performed in a particular way). These considerations can help identify leading indicators of impending trouble by identifying where demand may exceed capacity or where resources may not be available. Multiple perspectives can also help explore how work conditions affect staff well-being (eg, health, safety, motivation, job satisfaction, comfort, joy at work) and performance (eg, care quality, safety, productivity, effectiveness, efficiency).

Interactions and flow

System outputs are dependent on the constantly changing interactions between people, tasks, equipment and the wider environment. Multiple perspectives on system functioning help explore interactions to better understand the effects of actions and proposed changes on other parts of the system. Examining flow of work can help identify how these interactions and the conditions of work contribute to bottlenecks and blockages.

Understand why decisions made sense at the time

This principle directs us that, when looking back on individual, team or organisational decision-making, we should appreciate that people do what makes sense to them based on the system conditions experienced at the time (demand, capacity, resources and constraints), interactions and flow of work. It is easy (and common) to look back with hindsight to blame or judge individual components (usually humans) and recommend change such as refresher training and punitive actions. This must consider why such decisions were made, or change is unlikely to be effective. The same conditions may occur again, and the same decision may need to be made to continue successful system functioning. By exploring why decisions were made, we move beyond blaming ‘human error’ which can help promote a ‘Just Culture’—where staff are not punished for actions that are in keeping with their experience and training and which were made to cope with the work conditions faced at the time.35

Performance variability

As work conditions and interactions change rapidly and often in an unpredicted manner, people adapt what they do to achieve successful outcomes. They make trade-offs, such as efficiency thoroughness trade-offs, and use workarounds to cope with the conditions they face. In retrospect these could be seen as ‘errors’, but are often adaptations used to cope with unplanned or unexpected system conditions. They result in a difference between work-as-done and work-as-imagined and define everyday work from which outcomes, both good and bad, emerge.

Case report

The included case report describes the practical application of these principles to understand work within a system and the subsequent design of organisational change (table 3). The presented details are a small part of a larger project in which the authors (DM, PB and SL) were involved. The new appointment of a health board employed pharmacist to a general practice had not had the anticipated impact and there had been unexpected effects. The GPs had hoped for a greater reduction in workload quantity, the health board had hoped for increased formulary compliance and there had been increased workload in secondary care.

Traditional ways of exploring this problem may include working backwards from the problem to identify an area for improvement. In this case, further training of the pharmacist may have been suggested and targets may have been introduced in relation to workload or formulary compliance. However, without understanding why the pharmacist worked this way, it is likely any retraining or change would be ineffective. The STEW principles provided a framework to analyse the problem from a systems perspective, understand what influenced the pharmacist’s decisions and explore the effects of these decisions elsewhere in the system. Obtaining multiple perspectives identified that the pharmacist had to trade off between competing goals (productivity vs thoroughness including safety and formulary compliance). The application of the principles identified how pharmacists varied their approach to increase productivity while remaining safe. Learning from this everyday work helped bring work-as-done and work-as-imagined closer and several changes to improve system performance were identified and implemented.

Access to hospital electronic prescribing information

This ensured pharmacists had the information needed to complete the task (System condition—resources). It also reduced work in other sectors (Interactions) and increased the efficiency of task completion and so reduced delays for patients (Flow).

Work scheduling

The timetable for the week was changed to prioritise other prescribing tasks at the start of the week and complete medication reconciliation later in the week (System condition—capacity/demand). Through discussion of system conditions, the pharmacist identified that certain discharges took longer to complete, resulted in further contact with the practice (with a resultant increased GP workload) or had an increased risk of patient harm. Discharges that included these factors were prioritised and completed early in the week in attempt to mitigate these problems.

Protocols

Protocols were changed to have minimum specification to allow local adaptation by pharmacists (System conditions—constraints). This supported the pharmacists to employ a variety of responses dependent on the context (Performance Variability) which reduced pharmacists’ concerns of blame if they did not follow the protocol (Understand why decision made sense). For example, after a short admission where it was unlikely medication was changed, pharmacists did not need to contact secondary care regarding medication not recorded on the discharge letter (Understand why decision made sense). If they felt they did have to check, the option of contacting the patient was included. Similarly, the need to contact all patients after discharge was removed. Pharmacists could use other options such as contacting the community pharmacy if more appropriate (Performance Variability).

Pharmacist mentoring

Regular GP mentoring sessions were included as pharmacists’ found discussing cases with GPs allowed them to consider the benefits and potential problems of their actions in other parts of the system (Interactions and Performance Variability). For example, not limiting the number of times certain medication can be issued but instead ensuring practice systems for monitoring are used. This also allowed them to consider when they needed to be more thorough at the expense of efficiency (Performance Variability), for example, when there were leading indicators of problems such as high-risk medication.

Discussion

This paper describes the adaptation and redesign of previously developed system principles for generic application in healthcare settings. The STEW principles underpin and are characteristic of a holistic systems approach. The case report demonstrates application of the principles to analyse a care system and to subsequently design change through understanding current work processes, predicting system behaviour and designing modifications to improve system performance.

We propose that the STEW principles can be used as a framework for teams to analyse, learn and improve from unintended outcomes, reports of excellent care and routine everyday work ‘hassles’.36 37 The overall focus is on team and organisational learning by, for example, small group discussion to promote a deep understanding of ‘how everyday work is actually done’ (rather than just fixating on things that go wrong). This allows an exploration of the system conditions that result in the need for people to vary how they work; the identification and sharing of successful adaptations and an understanding of the effect of adaptations elsewhere in the system (mindful adaptation). From this, we can decide if variation is useful (and thus support staff in doing this effectively) or unwanted (and system conditions can then be considered to try to damp variation). These discussions can help reconcile work-as-done and work-as-imagined. Although, as conditions change unpredictably, new ways of working will continue to evolve and so we must continue to explore and share learning from everyday work, not just when something goes wrong.

The focus of safety efforts, in incident investigation and other QI activity, is often on identifying things that have gone wrong and implementing change to prevent ‘error’ recurring.20 The focus is often on the ‘root causes’ of adverse events or categorising events most likely to cause systems to fail (eg, using Pareto charts).20 38 This linear ‘cause and effect’ thinking can lead to single components, deemed to be the ‘cause’ of the unwanted event or care problem, being prioritised for improvement. Although this may improve the performance of that component it may not improve overall system functioning and, due to the complex interactions in healthcare systems, may generate unwanted unintended consequences. The principles promote examining and treating the relevant system as a whole which may strengthen the way we conduct incident investigation and how we design QI projects.

To successfully align corrective actions or improvement interventions with contributing factors, and therefore ensure actions have the desired effect, a deep understanding of everyday work is essential.39 Methods such as process mapping are often promoted to explore how systems work which, when used properly, can be a useful method to aid healthcare improvers. To more closely model and understand work-as-done, the STEW principles could be considered to show the influences on components that affect performance such as feedback loops, coupling to other components and internal and external influences.

The STEW principles may also support another commonly used QI method: Plan, Do, Study, Act cycles.40 It has been suggested that more in-depth work is often required in the planning and study stages of improvement activity, especially when dealing with complex problems.40 The application of the principles may help explore factors that will influence change (such as resources, interactions with other parts of the systems and personal and organisational goals). Similarly, during the study phase, the principles can help explore how system properties prompted people to act the way they did. This level of understanding can then inform further iterative cycles.

Patient care is often delivered by teams across interfaces of care which further increases complexity.41 It is estimated that only around half to three-quarters of actions recommended after incident analysis are implemented.21 Although this is often due to a lack of shared learning and local action plans and involvement of key stakeholders,21 those investigating such cases may feel unable to influence change in such a complex environment. This may result on a focus on what is perceived as manageable or feasible changes to single processes. Obtaining multiple perspective on work and improvement encourages a team-based approach to learning and change but systems are still required to ensure learning and action plans are shared. Although the principles have been used in incident investigation and to influence organisational change across care interfaces, simply introducing a set of principles alone will not improve the likelihood of the implementation of effective system-level change.42 43 Training on, and evaluation of, the application of the principles is required.

Understanding how safety is created and maintained must involve more than examining when it fails. Improvement interventions often aim to standardise and simplify current processes. Although these approaches are important, in a resource-limited environment, it will never be possible to implement organisational change to fix all system problems. Even if this was possible, as systems evolve with new treatments and technology, conditions will emerge that have not been considered. To optimise success in complex systems, the contribution of humans to creating safety needs to be explored, understood and enhanced.44 Human adaptation is always required to ensure safe working and needs to be understood, appreciated and supported. Studying systems using the principles may support workers who make such adaptations to be more mindful of wider system effects.

There is growing interest in healthcare in how we can learn more from how people create safety. The Learning from Excellence movement promotes learning and improvement from the analysis of peer-reported episodes of excellent care and positive deviancy aims to identify how some people excel despite facing the same constraints as others.36 45 The Safety-II systems approach that influenced these principles is similar in that it focuses on how people help to create safety by adapting to unplanned system factors and interactions.

By understanding why decisions are made, the application of the principles supports the development of a ‘Just Culture’—indeed this was one of EUROCONTROL’s original principles and was incorporated into the principle, ‘Understand why decisions make sense at the time’. A ‘Just Culture’ has been described as ‘a culture of trust, learning and accountability’, where people are willing to report incidents where something has gone wrong, as they know it will inform learning to improve care and not be used to assign blame inappropriately.35 Our approach aims to avoid unwarranted blame and increase healthcare staff support and learning when something has gone wrong.46 47 Furthermore, application of the principles may empower staff and patients to not just report incidents but contribute to analysis and become integral parts of the improvement process through coproduction of safer systems. Obtaining the perspective of the patient when applying the principles is critical to understanding and improving systems as they are often the only constant when care crosses interfaces. This type of approach to improvement is strongly promoted and may avoid short-sighted responses to patient safety incidents (eg, refresher training or new protocols) and result in the design of better, and more cost-effective care systems.48

Alternative methods exist for modelling and understanding complex systems, such as the Functional Resonance Analysis Method,49 and a complex systems approach is used in accident models such as the Systems Theoretic Accident Modelling and Processes50 and AcciMAPs.51 These robust methods for system analysis are difficult for front-line teams to implement without specialised training.29 The principles, on the other hand, were designed with front-line healthcare workers in order to allow non-experts to be able to adopt this type of thinking to understand and improve systems. The influence of conditions of work, including organisational and external factors, on safety has been appreciated for some time and is included in other models used in healthcare to explore safety in complex systems.52–54 The Systems Engineering Initiative for Patient Safety (SEIPS) model is arguably one of the best known systems-based frameworks in healthcare.53 While this model promotes seeking multiple perspectives to describe the interactions between components, the STEW principles focus on how these interactions influence the way work is done and thus may complement the use of the SEIPS model.

Strength and limitations

Any consensus method can produce an agreed outcome, but that does not mean these are wholly adequate in terms of validity, feasibility or transferability. Only 15 participants were involved in the initial development with 32 more in workshops; however, a wide range of professions with significant patient safety and QI experience were recruited. The appraiser workshop was attended by both primary and secondary care doctors, and other staff groups. Their comments were used to further refine the principles, but no attempt was made to assess their agreement on the importance and applicability of principles. The principles have not been shown in practice to improve performance, and further research and evaluation of their application in various sectors of healthcare is needed.

Conclusions

Systems thinking is essential for examining and improving healthcare safety and performance, but a shared understanding and application of the concept is not well developed among front-line staff, healthcare improvers, leaders, policymakers, the media and the general public. It is a complicated topic and requires an understandable framework for practical application by the care workforce. The developed principles may aid a deeper exploration of system safety in healthcare as part of learning from problematic situations, everyday work and excellent practices. They may also inform more effective design of local improvement interventions. Ultimately, the principles help define what a ‘systems approach’ actually entails in a practical sense within the healthcare context. ​

Research ethics

Under UK ‘Governance Arrangements for Research Ethics Committees’, ethical research committee review is not required for service evaluation or research which, for example, seeks to elicit the views, experiences and knowledge of healthcare professionals on a given subject area.55 Similarly ‘service evaluation’ that involves NHS staff recruited as research participants by virtue of their professional roles also does not require ethical review from an established NHS research ethics committee.

Acknowledgments

The authors thank all those who contributed to the adaptation of the principles and Michael Cannon for his comments from a service user’s perspective.

Footnotes

Twitter: @duncansmcnab, @pbnes

Contributors: DM, JM and PB conceived the project. SS developed the original principles and led the consensus building workshop. DM and SL collected the data. DM, SL, SS, JM and PB analysed the feedback to adapt the principles. DM drafted the original report and SL, SS and JM revised and agreed on the final manuscript.

Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests: None declared.

Patient and public involvement: Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research.

Patient consent for publication: Not required.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement: Data are available upon reasonable request. Data are available upon request relating to the stages of the consensus building process.

References

  • 1.Leveson N, Dulac N, Marais K, et al. . Moving beyond normal accidents and high reliability organizations: a systems approach to safety in complex systems. Organization Studies 2009;30:227–49. 10.1177/0170840608101478 [DOI] [Google Scholar]
  • 2.Arnold RD, Wade JP. A definition of systems thinking: a systems approach. Procedia Comput Sci 2015;44:669–78. 10.1016/j.procs.2015.03.050 [DOI] [Google Scholar]
  • 3.Francis R. Report of the mid Staffordshire NHS Foundation trust public inquiry. London: Stationery Office, 2013. http://cdn.midstaffspublicinquiry.com/sites/default/files/report/Executive%20summary.pdf [Google Scholar]
  • 4.Peters DH. The application of systems thinking in health: why use systems thinking? Health Res Policy Syst 2014;12:51 10.1186/1478-4505-12-51 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Savigny Dde, Adam T. Systems thinking for health systems strengthening. Alliance for Health Policy and Systems Research, 2009. [Google Scholar]
  • 6.Plsek PE, Greenhalgh T. The challenge of complexity in healthcare. BMJ 2001;323:625–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hollnagel E. Resilience engineering: a new understanding of safety. J Ergon Soc Korea 2016;35:185–91. 10.5143/JESK.2016.35.3.185 [DOI] [Google Scholar]
  • 8.Braithwaite J, Wears RL, Hollnagel E. Resilient health care: turning patient safety on its head. Int J Qual Health Care 2015;27:418–20. 10.1093/intqhc/mzv063 [DOI] [PubMed] [Google Scholar]
  • 9.Young RA, Roberts RG, Holden RJ. The challenges of measuring, improving, and reporting quality in primary care. Ann Fam Med 2017;15:175–82. 10.1370/afm.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.The Health Foundation Evidence scan: complex adaptive systems. London, 2010. [Google Scholar]
  • 11.Ladyman J, Lambert J, Wiesner K. What is a complex system? Eur J Philos Sci 2013;3:33–67. 10.1007/s13194-012-0056-8 [DOI] [Google Scholar]
  • 12.Hollnagel E. The ETTO principle: Efficiency-thoroughness trade-off: why things that go right sometimes go wrong. London: Ashgate, 2009. [Google Scholar]
  • 13.Tucker AL, Spear SJ. Operational failures and interruptions in hospital nursing. Health Serv Res 2006;41:643–62. 10.1111/j.1475-6773.2006.00502.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Hollnagel E. Safety-I and Safety-II the past and future of safety management, 2014. [Google Scholar]
  • 15.Card AJ. The problem with ‘5 whys’. BMJ Qual Saf 2017;26:671–7. 10.1136/bmjqs-2016-005849 [DOI] [PubMed] [Google Scholar]
  • 16.Kellogg KM, Hettinger Z, Shah M, et al. . Our current approach to root cause analysis: is it contributing to our failure to improve patient safety? BMJ Qual Saf 2017;26:381–7. 10.1136/bmjqs-2016-005991 [DOI] [PubMed] [Google Scholar]
  • 17.Litaker D, Tomolo A, Liberatore V, et al. . Using complexity theory to build interventions that improve health care delivery in primary care. J Gen Intern Med 2006;21 Suppl 2:S30–4. 10.1007/s11606-006-0272-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.McNab D, Bowie P, Morrison J, et al. . Understanding patient safety performance and educational needs using the 'Safety-II' approach for complex systems. Educ Prim Care 2016;27:443–50. 10.1080/14739879.2016.1246068 [DOI] [PubMed] [Google Scholar]
  • 19.Holland R, Lenaghan E, Harvey I, et al. . Does home based medication review keep older people out of hospital? the Homer randomised controlled trial. BMJ 2005;330:293 10.1136/bmj.38338.674583.AE [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.NHS England Serious incident framework. supporting learning to prevent recurrence, 2015. Available: https://www.england.nhs.uk/wp-content/uploads/2015/04/serious-incidnt-framwrk-upd.pdf
  • 21.Peerally MF, Carr S, Waring J, et al. . The problem with root cause analysis. BMJ Qual Saf 2017;26:417–22. 10.1136/bmjqs-2016-005511 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Trbovich P, Shojania KG. Root-cause analysis: swatting at mosquitoes versus draining the swamp. BMJ Qual Saf 2017;26:bmjqs-2016-006229–353. 10.1136/bmjqs-2016-006229 [DOI] [PubMed] [Google Scholar]
  • 23.Vincent C, Aylin P, Franklin BD, et al. . Is health care getting safer? BMJ 2008;337:a2426 10.1136/bmj.a2426 [DOI] [PubMed] [Google Scholar]
  • 24.Landrigan CP, Parry GJ, Bones CB, et al. . Temporal trends in rates of patient harm resulting from medical care. N Engl J Med 2010;363:2124–34. 10.1056/NEJMsa1004404 [DOI] [PubMed] [Google Scholar]
  • 25.Esmail A. Measuring and monitoring safety: a primary care perspective. London: The Foundation, 2013. http://www.health.org.uk/sites/health/files/MeasuringAndMonitoringSafetyAPrimaryCarePerspective.pdf [Google Scholar]
  • 26.EUROCONTROL Systems thinking for safety: ten principles (a white paper), 2014. [Google Scholar]
  • 27.Hollnagel E, Wears RL, Braithwaite J. From Safety-I to Safety-II: a white paper. Available: https://www.england.nhs.uk/signuptosafety/wp-content/uploads/sites/16/2015/10/safety-1-safety-2-whte-papr.pdf [Accessed 29 Jan 2020].
  • 28.Mannion R, Braithwaite J. False Dawns and new horizons in patient safety research and practice. Int J Health Policy Manag 2017;6:685–9. 10.15171/ijhpm.2017.115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.McNab D, Freestone J, Black C, et al. . Participatory design of an improvement intervention for the primary care management of possible sepsis using the functional resonance analysis method. BMC Med 2018;16:174 10.1186/s12916-018-1164-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Roland D. Guideline developers are not the only experts: utilising the FRAM method in sepsis pathways. BMC Med 2018;16:213 10.1186/s12916-018-1212-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hignett S, Wilson JR, Morris W. Finding ergonomic solutions--participatory approaches. Occup Med 2005;55:200–7. 10.1093/occmed/kqi084 [DOI] [PubMed] [Google Scholar]
  • 32.Boulkedid R, Abdoul H, Loustau M, et al. . Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PLoS One 2011;6:e20476 10.1371/journal.pone.0020476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Powell C. The Delphi technique: myths and realities. J Adv Nurs 2003;41:376–82. 10.1046/j.1365-2648.2003.02537.x [DOI] [PubMed] [Google Scholar]
  • 34.Questback Available: https://www.questback.com/uk/ [Accessed 29 Jan 2020].
  • 35.Dekker S. Just culture balancing safety and accountability, 2012. [Google Scholar]
  • 36.Kelly N, Blake S, Plunkett A. Learning from excellence in healthcare: a new approach to incident reporting. Arch Dis Child 2016;101:788–91. 10.1136/archdischild-2015-310021 [DOI] [PubMed] [Google Scholar]
  • 37.Sujan M-A, Ingram C, McConkey T, et al. . Hassle in the dispensary: pilot study of a proactive risk monitoring tool for organisational learning based on narratives and staff perceptions. BMJ Qual Saf 2011;20:549–56. 10.1136/bmjqs.2010.048348 [DOI] [PubMed] [Google Scholar]
  • 38.Sarkar A, Mukhopadhyay AR, Ghosh SK. Issues in Pareto analysis and their resolution. Total Qual Manag Bus 2013;24:641–51. 10.1080/14783363.2012.704265 [DOI] [Google Scholar]
  • 39.Marshall M, de Silva D, Cruickshank L, et al. . What we know about designing an effective improvement intervention (but too often fail to put into practice). BMJ Qual Saf 2017;26:578–82. 10.1136/bmjqs-2016-006143 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Reed JE, Card AJ. The problem with Plan-Do-Study-Act cycles. BMJ Qual Saf 2016;25:147–52. 10.1136/bmjqs-2015-005076 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Penney LS, Nahid M, Leykum LK, et al. . Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review. BMC Health Serv Res 2018;18:894 10.1186/s12913-018-3712-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Carriere S. From Cheese to Stew: Incorporating a Systems’ Approach to Critical Incident Analysis In: Book of Abstracts 8th REA Symposium on resilience engineering: scaling up and speeding up, 2019. https://open.lnu.se/index.php/rea/article/view/1958/1680 [Google Scholar]
  • 43.Royal College of general practitioners acute kidney injury toolkit. Available: https://www.rcgp.org.uk/clinical-and-research/resources/toolkits/acute-kidney-injury-toolkit.aspx [Accessed 29 Jan 2020].
  • 44.Vincent C. Essentials of patient safety, 2012. Available: https://www1.imperial.ac.uk/resources/5D671B2E-1742-454E-9930-ABE7E4178561/vincentessentialsofpatientsafety2012.pdf [Accessed 24 Apr 2019].
  • 45.Lawton R, Taylor N, Clay-Williams R, et al. . Positive deviance: a different approach to achieving patient safety. BMJ Qual Saf 2014;23:880–3. 10.1136/bmjqs-2014-003115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Wu AW. Medical error: the second victim. The doctor who makes the mistake needs help too. BMJ 2000;320:726–7. 10.1136/bmj.320.7237.726 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Dekker S. Second victim: error, guilt, trauma, and resilience. London: CRC Press, 2013. [Google Scholar]
  • 48.Berwick DM. Era 3 for medicine and health care. JAMA 2016;315:1329–30. 10.1001/jama.2016.1509 [DOI] [PubMed] [Google Scholar]
  • 49.Hollnagel E. FRAM: the functional resonance analysis method. modelling complex socio-technical systems. Ashgate publishing limited: Surrey, 2012. [Google Scholar]
  • 50.Leveson N. A new accident model for engineering safer systems. Saf Sci 2004;42:237–70. 10.1016/S0925-7535(03)00047-X [DOI] [Google Scholar]
  • 51.Svedung I, Rasmussen J. Proactive risk management in a dynamic Society. Karlstad: Swedish Rescue Services Agency, 2000. [Google Scholar]
  • 52.Vincent C. Patient safety. 2nd ed Chichester: John Wiley and Sons, 2010. [Google Scholar]
  • 53.Holden RJ, Carayon P, Gurses AP, et al. . SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients. Ergonomics 2013;56:1669–86. 10.1080/00140139.2013.838643 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Bowie P, McNaughton E, Bruce D, et al. . Enhancing the effectiveness of significant event analysis: exploring personal impact and applying systems thinking in primary care. J Contin Educ Health Prof 2016;36:195–205. 10.1097/CEH.0000000000000098 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Department of Health Governance arrangements for research ethics committees, 2011. Available: https://www.hra.nhs.uk/planning-and-improving-research/policies-standards-legislation/governance-arrangement-research-ethics-committees/ [Accessed 29 Jan 2020].

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

bmjoq-2019-000714supp001.pdf (46.3KB, pdf)

Supplementary data

bmjoq-2019-000714supp002.pdf (75.7KB, pdf)


Articles from BMJ Open Quality are provided here courtesy of BMJ Publishing Group

RESOURCES