Does the implementation of a trauma system affect injury-related morbidity and economic outcomes? A systematic review.

BACKGROUND: Trauma accounts for a huge burden of disease worldwide. Trauma systems have been implemented in multiple countries across the globe, aiming to link and optimise multiple aspects of the trauma care pathway, and while they have been shown to reduce overall mortality, much less is known about their cost-effectiveness and impact on morbidity. METHODS: We performed a systematic review to explore the impact the implementation of a trauma system has on morbidity, quality of life and economic outcomes, in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. All comparator study types published since 2000 were included, both retrospective and prospective in nature, and no limits were placed on language. Data were reported as a narrative review. RESULTS: Seven articles were identified that met the inclusion criteria, all of which reported a pre-trauma and post-trauma system implementation comparison in high-income settings. The overall study quality was poor, with all studies demonstrating a severe risk of bias. Five studies reported across multiple types of trauma patients, the majority describing a positive impact across a variety of morbidity and health economic outcomes following trauma system implementation. Two studies focused specifically on traumatic brain injury and did not demonstrate any impact on morbidity outcomes. DISCUSSION: There is currently limited and poor quality evidence that assesses the impact that trauma systems have on morbidity, quality of life and economic outcomes. While trauma systems have a fundamental role to play in high-quality trauma care, morbidity and disability data can have large economic and cultural consequences, even if mortality rates have improved. The sociocultural and political context of the surrounding healthcare infrastructure must be better understood before implementing any trauma system, particularly in resource-poor and fragile settings. PROSPERO REGISTRATION NUMBER: CRD42022348529 LEVEL OF EVIDENCE: Level III.

A study to depict challenges and opportunities building industry professionals face when designing inclusive and accessible buildings.

Inclusive Design has been widely promoted in the fields of product, engineering, and user experience design. Despite the educational efforts made by scientists, practitioners, and institutions to raise awareness about accessibility and inclusion, Inclusive Design has not been widely embraced in architectural design practice, where it is often associated with design for disability. This multidisciplinary study, spanning behavioural science, ergonomics, and the social sciences of architecture, explores the challenges architectural design practitioners face when designing inclusively, and identifies opportunities to promote the adoption of Inclusive Design. The results of a questionnaire completed by 114 architectural design practitioners underscore the lack of client awareness of the benefits of inclusive design, highlight the important role practitioners can play in advocating for Inclusive Design, and emphasize the need to develop practices and tools that enhance the design and post-design phases of buildings to ensure inclusion, diversity, equity, and accessibility.

A framework to support risk assessment in hospitals.

QUALITY PROBLEM OR ISSUE: A number of challenges have been identified with current risk assessment practice in hospitals, including: a lack of consultation with a sufficiently wide group of stakeholders; a lack of consistency and transparency; and insufficient risk assessment guidance. Consequently, risk assessment may not be fully effective as a means to ensure safety. INITIAL ASSESSMENT: We used a V system developmental model, in conjunction with mixed methods, including interviews and document analysis to identify user needs and requirements. CHOICE OF SOLUTION: One way to address current challenges is through providing good guidance on the fundamental aspects of risk assessment. We designed a risk assessment framework, comprising: a risk assessment model that depicts the main risk assessment steps; risk assessment explanation cards that provide prompts to help apply each step; and a risk assessment form that helps to systematize the risk assessment and document the findings. IMPLEMENTATION: We conducted multiple group discussions to pilot the framework through the use of a representative scenario and used our findings for the user evaluation. EVALUATION: User evaluation was conducted with 10 participants through interviews and showed promising results. LESSONS LEARNED: While the framework was recommended for use in practice, it was also proposed that it be adopted as a training tool. With its use in risk assessment, we anticipate that risk assessments would lead to more effective decisions being made and more appropriate actions being taken to minimize risks. Consequently, the quality and safety of care delivered could be improved.

Evaluating inputs of failure modes and effects analysis in identifying patient safety risks.

PURPOSE: There is a growing awareness on the use of systems approaches to improve patient safety and quality. While earlier studies evaluated the validity of such approaches to identify and mitigate patient safety risks, so far only little attention has been given to their inputs, such as structured brainstorming and use of system mapping approaches (SMAs), to understand their impact in the risk identification process. To address this gap, the purpose of this paper is to evaluate the inputs of a well-known systems approach, failure modes and effects analysis (FMEA), in identifying patient safety risks in a real healthcare setting. DESIGN/METHODOLOGY/APPROACH: This study was conducted in a newly established adult attention deficit hyperactivity disorder service at Cambridge and Peterborough Foundation Trust in the UK. Three stakeholders of the chosen service together with the facilitators conducted an FMEA exercise along with a particular system diagram that was initially found as the most useful SMA by eight stakeholders of the service. FINDINGS: In this study, it was found that the formal structure of FMEA adds value to the risk identification process through comprehensive system coverage with the help of the system diagram. However, results also indicates that the structured brainstorming refrains FMEA participants from identifying and imagining new risks since they follow the process predefined in the given system diagram. ORIGINALITY/VALUE: While this study shows the potential contribution of FMEA inputs, it also suggests that healthcare organisations should not depend solely on FMEA results when identifying patient safety risks; and therefore prioritising their safety concerns.

Evaluation of system mapping approaches in identifying patient safety risks.

OBJECTIVE: While many system mapping approaches (SMAs) have been broadly used in safety-critical industries, few have so far been employed in the healthcare field to assist in the identification of patient safety risks. In this study, we evaluated a set of system modelling approaches to assess their potential contribution to the identification of risks affecting patient safety. The aim was to gain a greater understanding of the practical application of system modelling approaches with the help of the risk categorization framework developed in this study. SETTING: We conducted this study in a newly established Adult Attention Deficit Hyperactivity Disorder (ADHD) service at Cambridge and Peterborough Foundation Trust. STUDY PARTICIPANTS: Eight key stakeholders of the chosen service, including clinicians, managers and administrative staff, were individually asked to evaluate a set of pre-defined six SMAs according to their usefulness in identifying patient safety risks through interview-based questionnaires. RESULTS: It was found that each SMA could be useful in the chosen healthcare service in different ways. Further, specific types of diagrams were selected by stakeholders as more useful than others in identifying different sources of risks within the given system. CONCLUSIONS: The results of the evaluation showed that the system diagram is the most useful SMA in risk identification within the given system, while limited time, resources and experience of stakeholders with SMAs may present possible obstacles for their potential use in the healthcare field in future.

A Comparison of the Bow-Tie and STAMP Approaches to Reduce the Risk of Surgical Instrument Retention.

Although relatively rare, surgical instrument retention inside a patient following central venous catheterization still presents a significant risk. The research presented here compared two approaches to help reduce retention risk: Bow-Tie Analysis and Systems-Theoretic Accident Model and Processes. Each method was undertaken separately and then the results of the two approaches were compared and combined. Both approaches produced beneficial results that added to existing domain knowledge, and a combination of the two methods was found to be beneficial. For example, the Bow-Tie Analysis gave an overview of which activities keep controls working and who is responsible for each control, and the Systems-Theoretic Accident Model and Processes revealed the safety constraints that were not enforced by the supervisor of the controlled process. Such two-way feedback between both methods is potentially helpful for improving patient safety. Further methodology ideas to minimize surgical instrument retention risks are also described.

Design for patient safety: a systems-based risk identification framework.

Current risk identification practices applied to patient safety in healthcare are insufficient. The situation can be improved, however, by studying systems approaches broadly and successfully utilised in other safety-critical industries, such as aviation and chemical industries. To illustrate this, this paper first investigates current risk identification practices in the healthcare field, and then examines the potential of systems approaches. A systems-based approach, called the Risk Identification Framework (RID Framework), is then developed to enhance improvement in risk identification. Demonstrating the strengths of using multiple inputs and methods, the RID Framework helps to facilitate the proactive identification of new risks. In this study, the potential value of the RID Framework is discussed by examining its application and evaluation, as conducted in a real-world healthcare setting. Both the application and evaluation of the RID Framework indicate positive results, as well as the need for further research. Practitioner Summary: The findings in this study provide insights into how to make a better amalgamation of risk identification inputs to the safer design and more proactive risk management of healthcare delivery systems, which have been an increasing research interest amongst human factor professionals and ergonomists.

Using positive images to manage resistance-to-care and combative behaviors in nursing home residents with dementia: A pilot study.

This pilot study attempted to reduce resistance-to-care (RTC) and combative behaviors in nursing home residents with dementia by eliciting their positive affect. Four female residents with dementia were recruited from a nursing facility. Each resident was involved in one intervention trial and one control trial. The response of the residents was assessed by the Agitated Behavior Scale and the Observational Measurement of Engagement Tool. The distress level of the certified nursing assistants (CNAs) delivering the care was reported through the Distress Thermometer. Results showed that the residents displayed fewer behavioral symptoms in the intervention trial than in the control trial. The CNAs reported less distress in the intervention trial than in the control trial. These preliminary findings suggest that it might be feasible to use positive images to reduce residents' behavioral symptoms and decrease the distress of CNAs.

Articulating current service development practices: a qualitative analysis of eleven mental health projects.

BACKGROUND: The utilisation of good design practices in the development of complex health services is essential to improving quality. Healthcare organisations, however, are often seriously out of step with modern design thinking and practice. As a starting point to encourage the uptake of good design practices, it is important to understand the context of their intended use. This study aims to do that by articulating current health service development practices. METHODS: Eleven service development projects carried out in a large mental health service were investigated through in-depth interviews with six operation managers. The critical decision method in conjunction with diagrammatic elicitation was used to capture descriptions of these projects. Stage-gate design models were then formed to visually articulate, classify and characterise different service development practices. RESULTS: Projects were grouped into three categories according to design process patterns: new service introduction and service integration; service improvement; service closure. Three common design stages: problem exploration, idea generation and solution evaluation - were then compared across the design process patterns. Consistent across projects were a top-down, policy-driven approach to exploration, underexploited idea generation and implementation-based evaluation. CONCLUSIONS: This study provides insight into where and how good design practices can contribute to the improvement of current service development practices. Specifically, the following suggestions for future service development practices are made: genuine user needs analysis for exploration; divergent thinking and innovative culture for idea generation; and fail-safe evaluation prior to implementation. Better training for managers through partnership working with design experts and researchers could be beneficial.

Trust-level risk evaluation and risk control guidance in the NHS East of England.

In recent years, the healthcare sector has adopted the use of operational risk assessment tools to help understand the systems issues that lead to patient safety incidents. But although these problem-focused tools have improved the ability of healthcare organizations to identify hazards, they have not translated into measurable improvements in patient safety. One possible reason for this is a lack of support for the solution-focused process of risk control. This article describes a content analysis of the risk management strategies, policies, and procedures at all acute (i.e., hospital), mental health, and ambulance trusts (health service organizations) in the East of England area of the British National Health Service. The primary goal was to determine what organizational-level guidance exists to support risk control practice. A secondary goal was to examine the risk evaluation guidance provided by these trusts. With regard to risk control, we found an almost complete lack of useful guidance to promote good practice. With regard to risk evaluation, the trusts relied exclusively on risk matrices. A number of weaknesses were found in the use of this tool, especially related to the guidance for scoring an event's likelihood. We make a number of recommendations to address these concerns. The guidance assessed provides insufficient support for risk control and risk evaluation. This may present a significant barrier to the success of risk management approaches in improving patient safety.

User factors affecting the use of digital services in five European regions and countries.

Digitalisation has great potential to reduce costs, improve access and enhance user experience. However, it could also increase inequality, with some people struggling to access and use digital services. It is important to understand who is likely to be excluded in this way and why. This can help to identify groups at particular risk of digital exclusion, inform efforts to overcome the barriers, and develop more inclusive digital services. This paper introduces a set of five linked datasets examining a range of user factors affecting the use of digital services. The datasets focus on the use of digital mobility services, but the data is useful in understanding the use of other digital services as well. The user factors considered include technology access, use and competence and attitudes towards digital technology. The datasets were the results of surveys in five European regions and countries (Germany, Italy, Barcelona Metropolitan Area, Flanders and the Netherlands). Samples were taken of the adult (age 16+) population with a total of 3,454 participants.

Towards a better understanding of mental health care delivery systems: From stories to system components.

The growing demand for better quality of care, together with an increasing awareness of limited resources, is bringing attention to the need for design in healthcare. In mental health, considered the largest single cause of disability in the UK, the need is great. Existing services often fail to meet current levels of demand and do not consistently deliver good quality care for all service users. The design of better delivery systems has the potential to improve service user experience and care outcomes. This paper reports how through the interactive and participatory method of storytelling, the key components of a mental health delivery system were identified. We explain each of the ten components and discuss their implications for system understanding and service design. A model of a mental health delivery system has also been proposed.

Applying a participatory systems and value approach in a transdisciplinary exercise: on assessing the impact of training and education initiatives.

Participatory systems approaches are readily used in multi- and inter-disciplinary exploration of shared processes, but are less-commonly applied in trans-disciplinary efforts eliciting principles that generalise across contexts. The authors were charged with developing a transdisciplinary framework for prospectively or retrospectively assessing initiatives to improve education and training within a multifaceted organisation. A common System Impact Model (SIM) was developed in a series of workshops involving thirty participants from different disciplines, clinical specialisms, and organisations. The model provided a greater understanding of the interrelationships between factors influencing the benefits of education and training and development as seen from various stakeholder perspectives. It was used to create a system for assessing the impact of initiatives on service-users/patients, trainees, and organisations. It was shown to enable a range of participants to connect on common challenges, to maximise cross-, multi-, and inter-disciplinary learning, and to uncover new strategies for delivering value, as system designers.

Emergency department crowding: prioritising quantified crowding measures using a Delphi study.

AIMS: Emergency department (ED) crowding has been associated with a number of negative health outcomes, including unnecessary deaths, increased waiting times and a decrease in care quality. Despite the seriousness of this issue, there is little agreement on appropriate crowding measures to assess crowding effects on ED operations. The objective of this study was to prioritise a list of quantified crowding measures that would assess the current state of a department. METHODS: A three round Delphi study was conducted via email and an Internet based survey tool. The panel consisted of 40 professionals who had exposure to and expertise in crowding. Participants submitted quantified crowding measures which, through three rounds, were evaluated and ranked to assess participant agreement for inclusion. RESULTS: The panel identified 27 measures of which eight (29.6%) reached consensus at the end of the study. These measures comprised: (1) ability of ambulances to offload; (2) patients who leave without being seen or treated; (3) time until triage; (4) ED occupancy rate; (5) patients' total length of stay in the ED; (6) time to see a physician; (7) ED boarding time; and (8) number of patients boarding in the ED. CONCLUSIONS: This study resulted in the identification of eight quantified crowding measures, which present a comprehensive view of how crowding is affecting ED operations, and highlighted areas of concern. These quantified measures have the potential to make a considerable contribution to decision making by ED management and to provide a basis for learning across different departments.

How can communication to GPs at hospital discharge be improved? A systems approach.

BACKGROUND: Poor communication to GPs at hospital discharge threatens patient safety and continuity of care, with reliance on discharge summaries that are commonly written by the most junior doctors. Previous quality improvement efforts have largely focused on adherence to standardised templates, with limited success. A lack of understanding has been identified as a cause of the issue's resistance to decades of improvement work. AIM: To understand the system of communication to GPs at hospital discharge, with a view to identifying potential routes to improvement. DESIGN & SETTING: A qualitative exploration of the secondary-to-primary care communication system surrounding a large UK hospital. METHOD: A systems approach, recently defined for the healthcare domain, was used to structure and thematically analyse interviews (n = 18) of clinical and administrative staff from both sides of the primary-secondary care interface, and a subsequent focus group. RESULTS: The largely one-way communication system structure and the low level of hospital stakeholder insight into recipient GP needs emerged as consistent hindrances to system performance. More open lines of communication and shared records might enable greater collaboration to share feedback and resolve informational deficits. Teaching sessions and assessments for medical students and junior doctors led by GPs could help to instil the importance of detail and nuance when using standardised communication templates. CONCLUSION: Facilitating the sharing of performance insights between stakeholder groups emerged as the key theme of how communication might be improved. The empirical measures proposed have the potential to mitigate the safety risks of key barriers to performance such as patient complexity.

Face mask fit hacks: Improving the fit of KN95 masks and surgical masks with fit alteration techniques.

INTRODUCTION: During the course of the COVID-19 pandemic, there have been suggestions that various techniques could be employed to improve the fit and, therefore, the effectiveness of face masks. It is well recognized that improving fit tends to improve mask effectiveness, but whether these fit modifiers are reliable remains unexplored. In this study, we assess a range of common "fit hacks" to determine their ability to improve mask performance. METHODS: Between July and September 2020, qualitative fit testing was performed in an indoor living space. We used quantitative fit testing to assess the fit of both surgical masks and KN95 masks, with and without 'fit hacks', on four participants. Seven fit hacks were evaluated to assess impact on fit. Additionally, one participant applied each fit hack multiple times to assess how reliable hacks were when reapplied. A convenience of four participants took part in the study, three females and one male with a head circumference range of 54 to 60 centimetres. RESULTS AND DISCUSSION: The use of pantyhose, tape, and rubber bands were effective for most participants. A pantyhose overlayer was observed to be the most effective hack. High degrees of variation were noted between participants. However, little variation was noted within participants, with hacks generally showing similar benefit each time they were applied on a single participant. An inspection of the fit hacks once applied showed that individual facial features may have a significant impact on fit, especially the nose bridge. CONCLUSIONS: Fit hacks can be used to effectively improve the fit of surgical and KN95 masks, enhancing the protection provided to the wearer. However, many of the most effective hacks are very uncomfortable and unlikely to be tolerated for extended periods of time. The development of effective fit-improvement solutions remains a critical issue in need of further development.

Performing Qualitative Mask Fit Testing Without a Commercial Kit: Fit Testing Which Can Be Performed at Home and at Work.

OBJECTIVE: Qualitative fit testing is a popular method of ensuring the fit of sealing face masks such as N95 and FFP3 masks. Increased demand due to the coronavirus disease 2019 (COVID-19) pandemic has led to shortages in testing equipment and has forced many institutions to abandon fit testing. Three key materials are required for qualitative fit testing: the test solution, nebulizer, and testing hood. Accessible alternatives to the testing solution have been studied. This exploratory qualitative study evaluates alternatives to the nebulizer and hoods for performing qualitative fit testing. METHODS: Four devices were trialed to replace the test kit nebulizer. Two enclosures were tested for their ability to replace the test hood. Three researchers evaluated promising replacements under multiple mask fit conditions to assess functionality and accuracy. RESULTS: The aroma diffuser and smaller enclosures allowed participants to perform qualitative fit tests quickly and with high accuracy. CONCLUSIONS: Aroma diffusers show significant promise in their ability to allow individuals to quickly, easily, and inexpensively perform qualitative fit testing. Our findings indicate that aroma diffusers and homemade testing hoods may allow for qualitative fit testing when conventional apparatus is unavailable. Additional research is needed to evaluate the safety and reliability of these devices.

Experimental Measurement of the Size of Gaps Required to Compromise Fit of an N95 Respirator.

OBJECTIVE: The effectiveness of filtering facepiece respirators such as N95 respirators is heavily dependent on the fit. However, there have been limited efforts to discover the size of the gaps in the seal required to compromise filtering facepiece respirator performance, with prior studies estimating this size based on in vitro models. In this study, we measure the size of leak necessary to compromise the fit of N95 respirators. METHODS: Two methods were used to create a gap of specific dimensions. A set of 3D-printed resin spacers and hollow steel rods were used to generate gaps in N95 respirators while worn on 2 participants. Occupational Safety and Health Administration (OSHA) quantitative fit testing methods were used to quantify mask performance with gaps between 0.4 and 2.9-mm diameters. RESULTS: Gap size was regressed against fit factor, showing that overall, the minimum gap size to compromise N95 performance was between 1.5 mm2 and 3 mm2. CONCLUSIONS: These findings suggest the fit of a N95 respirator is compromised by gaps that may be difficult to visually detect. The study also adds to the body of evidence supporting the routine use of quantitative fit testing to ensure that masks are well-fitting.

Comparing the fit of N95, KN95, surgical, and cloth face masks and assessing the accuracy of fit checking.

INTRODUCTION: The COVID-19 pandemic has made well-fitting face masks a critical piece of protective equipment for healthcare workers and civilians. While the importance of wearing face masks has been acknowledged, there remains a lack of understanding about the role of good fit in rendering protective equipment useful. In addition, supply chain constraints have caused some organizations to abandon traditional quantitative or/and qualitative fit testing, and instead, have implemented subjective fit checking. Our study seeks to quantitatively evaluate the level of fit offered by various types of masks, and most importantly, assess the accuracy of implementing fit checks by comparing fit check results to quantitative fit testing results. METHODS: Seven participants first evaluated N95 and KN95 respirators by performing a fit check. Participants then underwent quantitative fit testing wearing five N95 respirators, a KN95 respirator, a surgical mask, and fabric masks. RESULTS: N95 respirators offered higher degrees of protection than the other categories of masks tested; however, it should be noted that most N95 respirators failed to fit the participants adequately. Fit check responses had poor correlation with quantitative fit factor scores. KN95, surgical, and fabric masks achieved low fit factor scores, with little protective difference recorded between respiratory protection options. In addition, small facial differences were observed to have a significant impact on quantitative fit. CONCLUSION: Fit is critical to the level of protection offered by respirators. For an N95 respirator to provide the promised protection, it must fit the participant. Performing a fit check via NHS self-assessment guidelines was an unreliable way of determining fit.

Understanding the Influences of COPD Patient's Capability on the Uptake of Pulmonary Rehabilitation in the UK Through an Inclusive Design Approach.

Background: Pulmonary rehabilitation (PR) is recommended for patients with COPD to improve their symptoms and quality of life. However, in the UK, only one in ten of those who need PR receive it and this might be inaccessible to people with disabilities. This study aims to inform improvements to PR service by identifying barriers to the uptake of PR in the COPD care journey in relation to patients' capabilities that can affect their access to PR. Methods: An Inclusive Design approach with mixed methods was undertaken. Firstly, patients and healthcare professionals were interviewed to gather insight into their experiences of COPD care and map patients' care journey. Secondly, an Exclusion Calculator was used to estimate service demand on patients' capability and the proportion of population excluded from the service. Thirdly, a framework analysis was applied to guide data analysis to identify the challenges of accessing PR. Finally, proposed recommendations were refined with patients and healthcare professionals. Results: The overall capability-related exclusion number was very high (62.5%), and exclusion caused by limited mobility was the highest (50%) among the interviewees and even higher based on the population database. This suggests the importance of considering COPD patients' capability-related needs to improve their access to care. Capability-related challenges for patients accessing PR such as poor mobility to transport and low vision impairing ability to read inhaler instructions were identified, as well as non-capability-related challenges such as patients' perception about COPD and inability to access proper information. Recommendations were proposed to help patients to self-manage their COPD and access to PR. Conclusion: Lack of attention to COPD patients' capability level in the delivery of PR may affect its uptake. Considering the capability-related needs of COPD patients and providing patients with reassurance, information, and support on their care journey could improve the uptake of PR.