Preoperative Anticoagulation Management in Everyday Clinical Practice: An International Comparative Analysis of Work-as-Done Using the Functional Resonance Analysis Method

Comparing Guidelines to Daily Practice When Screening Older Patients for the Risk of Functional Decline in Hospitals: Outcomes of a Functional Resonance Analysis Method (FRAM) Study

OBJECTIVES

Dutch hospitals are required to screen older patients for functional decline using 4 indicators: malnutrition, delirium, physical impairment, and falls, to recognize frail older patients promptly. The Functional Resonance Analysis Method was employed to deepen the understanding of work according to the protocols (work-as-imagined [WAI]) in contrast to the realities of daily practice (work-as-done [WAD]).

METHODS

Data have been collected from 3 hospitals (2 tertiary and 1 general) and 4 different wards: an internal medicine ward, surgical ward, neurology ward, and a trauma geriatric ward. WAI models were based on national guidelines and hospital protocols. Data on WAD were collected through semistructured interviews with involved nurses (n = 30).

RESULTS

Hospital protocols were more extensive than national guidelines for all screening indicators. Additional activities mainly comprised specific preventive interventions or follow-up assessments after adequate measurements. Key barriers identified to work according to protocols included time constraints, ambiguity regarding task ownership, nurses' perceived limitations in applying their clinical expertise due to time constraints, insufficient understanding of freedom-restricted interventions, and the inadequacy of the Delirium Observation Scale Score in patients with neurological and cognitive problems. Performance variability stemmed from timing issues, frequently attributable to time constraints.

CONCLUSIONS

The most common reasons for deviating from the protocol are related to time constraints, lack of knowledge, and/or patient-related factors. Also, collaboration among relevant disciplines appears important to ensure good health outcomes. Future research endeavors could shed a light on the follow-up procedures of the screening process and roles of other disciplines, such as physiotherapists.

Analyzing resilient performance of workers with multiple disturbances in production systems

With the emergence of Industry 5.0 and an increasing focus on human-centric approaches in manufacturing, the analysis of workers in production systems has gathered significant interest among researchers and practitioners. Previous studies have explored the impact of various aspects, such as skills, fatigue, and circadian rhythms, on human performance. However, the cumulative effect of these aspects as disturbances on work performance has yet to be fully elucidated. This study introduces an approach using the Functional Resonance Analysis Method (FRAM) to investigate the impact of multiple disturbances on workers' performance. Furthermore, this approach explored how the resilience-related skill aspects of workers affect their performance under multiple disturbances. A case study on engine test and repair processes was conducted, employing qualitative data collection and semi-quantitative simulation studies examining the impact of combined disturbances across 4,094 scenarios. The results show that a larger number of compounded variabilities expressed in Common Performance Conditions (CPCs) made it significantly challenging to recover work performance, and CPCs with particularly critical effects were identified. In addition, the FRAM model of skilled workers was shown to sustain higher performance across more scenarios. The approach of this study has demonstrated its ability to provide insights for effectively and safely managing production systems while considering complex disturbances.

What is diagnostic safety? A review of safety science paradigms and rethinking paths to improving diagnosis

Diagnostic errors in health care are a global threat to patient safety. Researchers have traditionally focused diagnostic safety efforts on identifying errors and their causes with the goal of reducing diagnostic error rates. More recently, complementary approaches to diagnostic errors have focused on improving diagnostic performance drawn from the safety sciences. These approaches have been called Safety-II and Safety-III, which apply resilience engineering and system safety principles, respectively. This review explores the safety science paradigms and their implications for analyzing diagnostic errors, highlighting their distinct yet complementary perspectives. The integration of Safety-I, Safety-II, and Safety-III paradigms presents a promising pathway for improving diagnosis. Diagnostic researchers not yet familiar with the various approaches and potential paradigm shift in diagnostic safety research may use this review as a starting point for considering Safety-I, Safety-II, and Safety-III in their efforts to both reduce diagnostic errors and improve diagnostic performance.

Learning from errors and resilience

PURPOSE OF REVIEW

Learning from errors has been the main objective of patient safety initiatives for the last decades. The different tools have played a role in the evolution of the safety culture to a nonpunitive system-centered one. The model has shown its limits, and resilience and learning from success have been advocated as the key strategies to deal with healthcare complexity. We intend to review the recent experiences in applying these to learn about patient safety.

RECENT FINDINGS

Since the publication of the theoretical basis for resilient healthcare and Safety-II, there is a growing experience applying these concepts into reporting systems, safety huddles, and simulation training, as well as applying tools to detect discrepancies between the intended work as imagined when designing the procedures and the work as done when front-line healthcare providers face the real-life conditions.

SUMMARY

As part of the evolution in patient safety science, learning from errors has its function to open the mindset for the next step: implementing learning strategies beyond the error. The tools for it are ready to be adopted.

Coming to Grips-How Nurses Deal With Restlessness, Confusion, and Physical Restraints on a Neurological/Neurosurgical Ward

Physical restraints are viewed as potentially dangerous objects for patient safety. Contemporary efforts mainly focus on preventing bad outcomes in restraint use, while little attention is paid under what circumstances physical restraints are applied harmlessly. The aim of this research was to understand how physical restraints are used by neurology/neurosurgery ward nurses in relation to the protocol. In ethnographic action research, the Functional Resonance Analysis Method (FRAM) was used to map and compare physical restraints as part of daily ward care against the protocol of physical restraints. Comparison between protocol and actual practice revealed that dealing with restlessness and confusion is a collective nursing skill vital in dealing with physical restraints, while the protocol failed to account for these aspects. Supporting and maintaining this skillset throughout this and similar nursing teams can prevent future misguided application physical restraints, offering valuable starting point in managing patient safety for these potentially dangerous objects.

The application of resilience assessment grid in healthcare: A scoping review

Background

The Resilience Assessment Grid (RAG) has attracted increasing interest in recent healthcare discourse as an instrument to understand and measure the resilience performance of socio-technical systems. Despite its growing popularity in healthcare, its applicability and utility remain unclear. This scoping review aims to understand the practical application of RAG method and its outcomes in healthcare.

Method

We followed the Arksey and O’Malley, and the Levac and colleagues’ framework for scoping reviews and the PRISMA-ScR Checklist. We conducted searches of three electronic databases [Medline, Embase and Web of Science] in May 2021. Supplementary searches included Google Scholar, web and citation searches, and hand searches of the nine seminal edited books on Resilience Engineering and Resilient Health Care. All English language, empirical studies of RAG application in the healthcare setting were included. Open Science Framework [Registration-DOI. 10.17605/OSF.IO/GTCZ3].

Results

Twelve studies met the inclusion criteria. Diversities were found across study designs and methodologies. Qualitative designs and literature reviews were most frequently used to develop the RAG and applied it in practice. Eight of the studies had qualitative designs, three studies had mixed-methods designs and one study had a quantitative design. All studies reported that the RAG was very helpful for understanding how frontline healthcare professionals manage the complexity of everyday work. While the studies gained insights from applying the RAG to analyze organizational resilience and identify areas for improvement, it was unclear how suggestions were implemented and how they contributed to quality improvement.

Conclusion

The RAG is a promising tool to manage some of the current and future challenges of the healthcare system. To realise the potential benefits of the RAG, it is important that we move beyond the development phase of the RAG tool and use it to guide implementation and management of quality initiatives.

Aligning work-as-imagined and work-as-done using FRAM on a hospital ward: a roadmap

Introduction

Modern safety approaches in healthcare differentiate between daily practice (work-as-done) and the written rules and guidelines (work-as-imagined) as a means to further develop patient safety. Research in this area has shown case study examples, but to date lacks hooking points as to how results can be embedded within the studied context. This study uses Functional Analysis Resonance Method (FRAM) for aligning work-as-imagined with the work-as-done. The aim of this study is to show how FRAM can effectively be applied to identify the gap between work prescriptions and practice, while subsequently showing how such findings can be transferred back to, and embedded in, the daily ward care process of nurses.

Methods

This study was part of an action research performed among ward nurses on a 38 bed neurological and neurosurgical ward within a tertiary referral centre. Data was collected through document analysis, in-field observations, interviews and group discussions. FRAM was used as an analysis tool to model the prescribed working methods, actual practice and the gap between those two in the use of physical restraints on the ward.

Results

This study was conducted in four parts. In the exploration phase, work-as-imagined and work-as-done were mapped. Next, a gap between the concerns named in the protocol and the actual employed methods of dealing with physical restraint on the ward was identified. Subsequently, alignment efforts led to the co-construction of a new working method with the ward nurses, which was later embedded in quality efforts by a restraint working group on the ward.

Conclusion

The use of FRAM proved to be very effective in comparing work-as-done with work-as-imagined, contributing to a better understanding, evaluation and support of everyday performance in a ward care setting.

Implementing structured follow-up of neonatal and paediatric patients: an evaluation of three university hospital case studies using the functional resonance analysis method

Background

In complex critical neonatal and paediatric clinical practice, little is known about long-term patient outcomes and what follow-up care is most valuable for patients. Emma Children’s Hospital, Amsterdam UMC (Netherlands), implemented a follow-up programme called Follow Me for neonatal and paediatric patient groups, to gain more insight into long-term outcomes and to use such outcomes to implement a learning cycle for clinical practice, improve follow-up care and facilitate research. Three departments initiated re-engineering and change processes. Each introduced multidisciplinary approaches to long-term follow-up, including regular standardised check-ups for defined age groups, based on medical indicators, developmental progress, and psychosocial outcomes in patients and their families. This research evaluates the implementation of the three follow-up programmes, comparing predefined procedures (work-as-imagined) with how the programmes were implemented in practice (work-as-done).

Methods

This study was conducted in 2019–2020 in the outpatient settings of the neonatal intensive care, paediatric intensive care and paediatric surgery departments of Emma Children’s Hospital. It focused on the organisational structure of the follow-up care. The functional resonance analysis method (FRAM) was applied, using documentary analysis, semi-structured interviews, observations and feedback sessions.

Results

One work-as-imagined model and four work-as-done models were described. The results showed vast data collection on medical, developmental and psychosocial indicators in all work-as-done models; however, process indicators for programme effectiveness and performance were missing. In practice there was a diverse allocation of roles and responsibilities and their interrelations to create a multidisciplinary team; there was no one-size-fits-all across the different departments. Although control and feedback loops for long-term outcomes were specified with respect to the follow-up groups within the programmes, they were found to overlap and misalign with other internal and external long-term outcome monitoring practices.

Conclusion

Implementing structured long-term follow-up may provide insights for improving daily practice and follow-up care, with the precondition of standardised measurements. Lessons learned from practice are (1) to address fragmentation in data collection and storage, (2) to incorporate the diverse ways to create a multidisciplinary team in practice, and (3) to include timely actionable indicators on programme effectiveness and performance, alongside medical, developmental and psychosocial indicators.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07537-x.

The Functional Resonance Analysis Method as a health care research methodology: a scoping review

OBJECTIVE

The objective of this review was to examine and map the literature on the use of the Functional Resonance Analysis Method (FRAM) in health care research.

INTRODUCTION

The FRAM is a resilient health care tool that offers an approach to deconstruct complex systems by mapping health care processes to identify essential activities, how they are interrelated, and the variability that emerges, which can strengthen or compromise outcomes. Insight into how the FRAM has been operationalized in health care can help researchers and policy-makers understand how this method can be used to strengthen health care systems.

INCLUSION CRITERIA

This scoping review included research and narrative reports on the application of the FRAM in any health care setting. The focus was to identify the key concepts and definitions used to describe the FRAM, the research questions, aims, and objectives used to study the FRAM, the methods used to operationalize the FRAM, the health care processes examined, and the key findings.

METHODS

A three-step search strategy was used to find published and unpublished research and narrative reports conducted in any country. Only papers published in English were considered. No limits were placed on the year of publication. CINAHL, MEDLINE, Embase, PsycINFO, Inspec Engineering Village, ProQuest Nursing & Allied Health were searched originally in June 2020 and again in March 2021. A search of the gray literature was also completed in March 2021. Data were extracted from papers by two independent reviewers using a data extraction tool developed by the reviewers. Search results are summarized in a flow diagram, and the extracted data are presented in tabular format.

RESULTS

Thirty-one papers were included in the final review, and most (n = 25; 80.6%) provided a description or definition of the FRAM. Only two (n = 2; 6.5%) identified a specific research question. The remaining papers each identified an overall aim or objective in applying the FRAM, the most common being to understand a health care process (n = 20; 64.5%). Eleven different methods of data collection were identified, with interviews being the most common (n = 21; 67.7%). Ten different health care processes were explored, with safety and risk identification (n = 8; 25.8%) being the most examined process. Key findings identified the FRAM as a mapping tool that can identify essential activities or functions of a process (n = 20; 64.5%), how functions are interdependent or coupled (n = 18 58.1%), the variability that can emerge within a process (n = 20; 64.5%), discrepancies between work as done and work as imagined (n = 20; 64.5%), the resiliency that exists within a process (n = 12; 38.7%), and the points of risk within a process (n = 10, 32.3%). Most papers (n = 27; 87.1%) developed models representing the complexity of a process.

CONCLUSIONS

The FRAM aims to use a systems approach to examine complex processes and as evidenced by this review, is suited for use within the health care domain. Interest in the FRAM is growing, with most of the included literature being published since 2017 (n = 24; 77.4%). The FRAM has the potential to provide comprehensive insight into how health care work is done and how that work can become more efficient, safer, and better supported.

Using the Functional Resonance Analysis Method to explore how elastic compression therapy is organised and could be improved from a multistakeholder perspective

OBJECTIVES

Elastic compression stocking (ECS) therapy is an important treatment for patients with deep venous thrombosis (DVT) and chronic venous insufficiency (CVI). This study aimed to provide insight into the structure and variability of the ECS therapy process, its effects on outcomes, and to elicit improvement themes from a multiple stakeholder perspective.

DESIGN

Thirty semi-structured interviews with professionals and patients were performed. The essential functions for the process of ECS therapy were extracted to create two work-as-done models using the Functional Resonance Analysis Method (FRAM). These findings were used to guide discussion between stakeholders to identify improvement themes.

SETTING

Two regions in the Netherlands, region Limburg and region North-Holland, including an academic hospital and a general hospital and their catchment region.

PARTICIPANTS

The interviewees were purposely recruited and included 25 healthcare professionals (ie, general practitioners, internists, dermatologists, nurses, doctor's assistants, occupational therapists, home care nurses and medical stocking suppliers) and 5 patients with DVT or CVI.

RESULTS

Two FRAM models were created (one for each region). The variability of the functions and their effect on outcomes, as well as interdependencies between functions, were identified. These were presented in stakeholder meetings to identify the structure of the process and designated variable and uniform parts of the process and its outcomes. Ultimately, six improvement themes were identified: dissemination of knowledge of the entire process; optimising and standardising initial compression therapy; optimising timing to contact the medical stocking supplier (when oedema has disappeared); improving the implementation of assistive devices; harmonising follow-up duration for patients with CVI; personalising follow-up and treatment duration in patients with DVT.

CONCLUSIONS

This study provided a detailed understanding of how ECS therapy is delivered in daily practice by describing major functions and variability in performances and elicited six improvement themes from a multistakeholder perspective.

Organisation of care for patients using direct oral anticoagulants

Direct oral anticoagulants (DOACs) are recommended by several scientific societies as first-line therapy for the prevention of stroke and systemic embolism in patients with atrial fibrillation. However, there is uncertainty regarding the organisation of anticoagulation care, with various caregivers being involved. Patients and caregivers are often confronted by uncertainty about the coordination of treatment. With the functional resonance analysis method we visualised the process of anticoagulation care in daily practice in the Maastricht region. This resulted in recommendations on how to improve the organisation of anticoagulation care for DOAC patients.

Resilient Health Care: a systematic review of conceptualisations, study methods and factors that develop resilience

BACKGROUND

Traditional approaches to safety management in health care have focused primarily on counting errors and understanding how things go wrong. Resilient Health Care (RHC) provides an alternative complementary perspective of learning from incidents and understanding how, most of the time, work is safe. The aim of this review was to identify how RHC is conceptualised, described and interpreted in the published literature, to describe the methods used to study RHC, and to identify factors that develop RHC.

METHODS

Electronic searches of PubMed, Scopus and Cochrane databases were performed to identify relevant peer-reviewed studies, and a hand search undertaken for studies published in books that explained how RHC as a concept has been interpreted, what methods have been used to study it, and what factors have been important to its development. Studies were evaluated independently by two researchers. Data was synthesised using a thematic approach.

RESULTS

Thirty-six studies were included; they shared similar descriptions of RHC which was the ability to adjust its functioning prior to, during, or following events and thereby sustain required operations under both expected and unexpected conditions. Qualitative methods were mainly used to study RHC. Two types of data sources have been used: direct (e.g. focus groups and surveys) and indirect (e.g. observations and simulations) data sources. Most of the tools for studying RHC were developed based on predefined resilient constructs and have been categorised into three categories: performance variability and Work As Done, cornerstone capabilities for resilience, and integration with other safety management paradigms. Tools for studying RHC currently exist but have yet to be fully implemented. Effective team relationships, trade-offs and health care 'resilience' training of health care professionals were factors used to develop RHC.

CONCLUSIONS

Although there was consistency in the conceptualisation of RHC, methods used to study and the factors used to develop it, several questions remain to be answered before a gold standard strategy for studying RHC can confidently be identified. These include operationalising RHC assessment methods in multi-level and diverse settings and developing, testing and evaluating interventions to address the wider safety implications of RHC amidst organisational and institutional change.