Co-producing knowledge on the use of urban natural space: Participatory system dynamics modelling to understand a complex urban system.

Decision-makers are increasingly asked to act differently in how they respond to complex urban challenges, recognising the value in bringing together and integrating cross-disciplinary, cross-sectoral knowledge to generate effective solutions. Participatory modelling allows to bring stakeholders together, enhance knowledge and understanding of a system, and identify the impacts of interventions to a given problem. This paper uses an interdisciplinary and systems approach to investigate a complex urban problem, using a participatory System Dynamics modelling process as an approach to facilitate learning and co-produce knowledge on the factors influencing the use of urban natural space. Stakeholders used a Systems Dynamics model and interface, as a tool to collectively identify pathways for improving the use of space and simulating their impacts. Under the lens of knowledge co-production, the paper reflects how such mechanisms can lead to the co-production of knowledge and social learning. The findings also contribute to identify ways of increasing the value of urban natural space focusing on urban areas undergoing physical and social transformation, such as the Thamesmead case study, London, UK.

A resilient workforce: patient safety and the workforce response to a cyber-attack on the ICT systems of the national health service in Ireland.

BACKGROUND: In May 2021, the Irish public health service was the target of a cyber-attack. The response by the health service resulted in the widespread removal of access to ICT systems. While services including radiology, diagnostics, maternity, and oncology were prioritised for reinstatement, recovery efforts continued for over four months. This study describes the response of health service staff to the loss of ICT systems, and the risk mitigation measures introduced to safely continue health services. The resilience displayed by frontline staff whose rapid and innovative response ensured continuity of safe patient care is explored. METHODS: To gain an in-depth understanding of staff experiences of the cyber-attack, eight focus groups (n = 36) were conducted. Participants from a diverse range of health services were recruited, including staff from radiology, pathology/laboratories, radiotherapy, maternity, primary care dental services, health and wellbeing, COVID testing, older person's care, and disability services. Thematic Analysis was applied to the data to identify key themes. RESULTS: The impact of the cyber-attack varied across services depending on the type of care being offered, the reliance on IT systems, and the extent of local IT support. Staff stepped-up to the challenges and quickly developed and implemented innovative solutions, exhibiting great resilience, teamwork and adaptability, with a sharp focus on ensuring patient safety. The cyber-attack resulted in a flattening of the healthcare hierarchy, with shared decision-making at local levels leading to an empowered frontline workforce. However, participants in this study felt the stress placed on staff by the attack was more severe than the cumulative effect of the COVID-19 pandemic. CONCLUSIONS: Limited contingencies within the health system IT infrastructure - what we call a lack of system resilience - was compensated for by a resilient workforce. Within the context of the prevailing COVID-19 pandemic, this was an enormous burden on a dedicated workforce. The adverse impact of this attack may have long-term and far-reaching consequences for staff wellbeing. Design and investment in a resilient health system must be prioritised.

Exploring the psychological impact of contact tracing work on staff during the COVID-19 pandemic.

BACKGROUND: Contact tracing is a key control measure in the response to the COVID-19 pandemic. While quantitative research has been conducted on the psychological impact of the pandemic on other frontline healthcare workers, none has explored the impact on contact tracing staff. METHODS: A longitudinal study was conducted using two repeated measures with contact tracing staff employed in Ireland during the COVID-19 pandemic using two-tailed independent samples t tests and exploratory linear mixed models. RESULTS: The study sample included 137 contact tracers in March 2021 (T1) and 218 in September 2021 (T3). There was an increase from T1 to T3 in burnout related exhaustion (p < 0·001), post-traumatic stress disorder (PTSD) symptom scores (p < 0·001), mental distress (p < 0·01), perceived stress (p < 0·001) and tension and pressure (p < 0·001). In those aged 18-30, there was an increase in exhaustion related burnout (p < 0·01), PTSD symptoms (p < 0·05), and tension and pressure scores (p < 0·05). Additionally, participants with a background in healthcare showed an increase in PTSD symptom scores by T3 (p < 0·001), reaching mean scores equivalent to those of participants who did not have a background in healthcare. CONCLUSIONS: Contact tracing staff working during the COVID-19 pandemic experienced an increase in adverse psychological outcomes. These findings highlight a need for further research on psychological supports required by contact tracing staff with differing demographic profiles.

Virtual adaptation of traditional healthcare quality improvement training in response to COVID-19: a rapid narrative review.

BACKGROUND: Information and communication technology are playing a major role in ensuring continuity of healthcare services during the COVID-19 pandemic. The pandemic has also disrupted healthcare quality improvement (QI) training and education for healthcare professionals and there is a need to rethink the way QI training and education is delivered. The purpose of this rapid evidence review is to quickly, but comprehensively collate studies to identify what works and what does not in delivering QI training and education using distance learning modalities. METHODS: Three healthcare databases were searched along with grey literature sources for studies published between 2015 and 2020. Studies with QI training programmes or courses targeting healthcare professionals and students with at least one component of the programme being delivered online were included. RESULTS: A total of 19 studies were included in the review. Most studies had a mixed methods design and used blended learning methods, combining online and in-person delivery modes. Most of the included studies reported achieving desired outcomes, including improved QI knowledge, skills and attitudes of participants and improved clinical outcomes for patients. Some benefits of online QI training delivery include fewer required resources, reduced need for on-site instructors, increased programme reach, and more control and flexibility over learning time for participants. Some limitations of online delivery modes include limited learning and networking opportunities, functional and technical problems and long lead time for content adaptation and customisation. DISCUSSION: The review highlights that distance learning approaches to QI help in overcoming barriers to traditional QI training. Some important considerations for those looking to adapt traditional programmes to virtual environments include balancing virtual and non-virtual methods, using suitable technological solutions, customising coaching support, and using multiple criteria for programme evaluation. CONCLUSION: Virtual QI and training of healthcare professionals and students is a viable, efficient, and effective alternative to traditional QI education that will play a vital role in building their competence and confidence to improve the healthcare system in post-COVID environment.

Exploring the needs and experiences of contact tracing staff during the COVID-19 pandemic in Ireland.

BACKGROUND: Contact tracing is a key component in controlling the spread of COVID-19, however little research has focused on learning from the experiences of contact tracing staff. Harnessing learning from those in this role can provide valuable insights into the process of contact tracing and how best to support staff in this crucial role. METHODS: Thematic analysis was used to analyse 47 semi-structured interviews conducted with contact tracing staff via telephone or Zoom at three time points in 2021: March, May and September-October. RESULTS: Six themes related to the contact tracing role were identified, including training, workforce culture, systems issues, motivation and support. While initially nervous in the role, participants were motivated to contribute to the pandemic response and believed the role provided them with valuable transferable skills. Participants described the training as having improved over time while desiring more proactive training. Sources of frustration included a perceived lack of opportunity for feedback and involvement in process changes, feelings of low autonomy, and a perception of high staff turnover. Participants expressed a need for improved communication of formal emotional supports. Increased managerial support and provision of opportunities for career advancement may contribute to increased motivation among staff. CONCLUSIONS: These findings identify the experiences of contact tracing staff working during the COVID-19 pandemic, and have important implications for the improvement of the contact tracing system. Recommendations based on learning from participants offer suggestions as to how best to support the needs of contact tracing staff during a pandemic response.

DNA fiber combing protocol using in-house reagents and coverslips to analyze replication fork dynamics in mammalian cells.

DNA fiber combing is a versatile technique that provides insight into replication fork dynamics at single-molecule resolution. DNA fibers are bound to silanized coverslips and combed, which straightens and aligns the fibers along a single axis. Here, we present a DNA fiber combing protocol that does not use commercial kits; we detail the steps to prepare all materials, reagents, and silanized coverslips. We describe the use of DLD-1 cells, but the protocol is amenable to other cell types.

BRCA2 BRC missense variants disrupt RAD51-dependent DNA repair.

Pathogenic mutations in the BRCA2 tumor suppressor gene predispose to breast, ovarian, pancreatic, prostate, and other cancers. BRCA2 maintains genome stability through homology-directed repair (HDR) of DNA double-strand breaks (DSBs) and replication fork protection. Nonsense or frameshift mutations leading to truncation of the BRCA2 protein are typically considered pathogenic; however, missense mutations resulting in single amino acid substitutions can be challenging to functionally interpret. The majority of missense mutations in BRCA2 have been classified as Variants of Uncertain Significance (VUS) with unknown functional consequences. In this study, we identified three BRCA2 VUS located within the BRC repeat region to determine their impact on canonical HDR and fork protection functions. We provide evidence that S1221P and T1980I, which map to conserved residues in the BRC2 and BRC7 repeats, compromise the cellular response to chemotherapeutics and ionizing radiation, and display deficits in fork protection. We further demonstrate biochemically that S1221P and T1980I disrupt RAD51 binding and diminish the ability of BRCA2 to stabilize RAD51-ssDNA complexes. The third variant, T1346I, located within the spacer region between BRC2 and BRC3 repeats, is fully functional. We conclude that T1346I is a benign allele, whereas S1221P and T1980I are hypomorphic disrupting the ability of BRCA2 to fully engage and stabilize RAD51 nucleoprotein filaments. Our results underscore the importance of correctly classifying BRCA2 VUS as pathogenic variants can impact both future cancer risk and guide therapy selection during cancer treatment.

Climate change projections for sustainable and healthy cities.

The ambition to develop sustainable and healthy cities requires city-specific policy and practice founded on a multidisciplinary evidence base, including projections of human-induced climate change. A cascade of climate models of increasing complexity and resolution is reviewed, which provides the basis for constructing climate projections-from global climate models with a typical horizontal resolution of a few hundred kilometres, through regional climate models at 12-50 km to convection-permitting models at 1 km resolution that permit the representation of urban induced climates. Different approaches to modelling the urban heat island (UHI) are also reviewed-focusing on how climate model outputs can be adjusted and coupled with urban canopy models to better represent UHI intensity, its impacts and variability. The latter can be due to changes induced by urbanisation or to climate change itself. City interventions such as greater use of green infrastructure also have an effect on the UHI and can help to reduce adverse health impacts such as heat stress and the mortality associated with increasing heat. Examples for the Complex Urban Systems for Sustainability and Health (CUSSH) partner cities of London, Rennes, Kisumu, Nairobi, Beijing and Ningbo illustrate how cities could potentially make use of more detailed models and projections to develop and evaluate policies and practices targeted at their specific environmental and health priorities. PRACTICE RELEVANCE: Large-scale climate projections for the coming decades show robust trends in rising air temperatures, including more warm days and nights, and longer/more intense warm spells and heatwaves. This paper describes how more complex and higher resolution regional climate and urban canopy models can be combined with the aim of better understanding and quantifying how these larger scale patterns of change may be modified at the city or finer scale. These modifications may arise due to urbanisation and effects such as the UHI, as well as city interventions such as the greater use of grey and green infrastructures.There is potential danger in generalising from one city to another-under certain conditions some cities may experience an urban cool island, or little future intensification of the UHI, for example. City-specific, tailored climate projections combined with tailored health impact models contribute to an evidence base that supports built environment professionals, urban planners and policymakers to ensure designs for buildings and urban areas are fit for future climates.

Relationship-building around a policy decision-support tool for urban health.

Contemporary challenges linked to public health and climate change demand more effective decision-making and urban planning practices, in particular by taking greater account of evidence. In order to do this, trust-building relationships between scientists and urban practitioners through collaborative research programmes is required. Based on a policy-relevant research project, Complex Urban Systems for Sustainability and Health (CUSSH), this project aims to support the transformation of cities to meet environmental imperatives and to improve health with a quantitative health impact assessment. A case study in Rennes, France, focuses on the role of a policy decision-support tool in the production and use of knowledge to support evidence-informed decision-making. Although the primary objective of informing decision-making through evidence-based science is not fulfilled, the use of a decision-making support tool can lay the foundations for relationship-building. It can serve as a support for boundary-spanning activities, which are recognised for their effectiveness in linking science to action. This case study illustrates that the path of knowledge transfer from science to policy can be challenging, and the usefulness of using models may not be where it was thought to have been.

Contact tracing during the COVID-19 outbreak: a protocol for enabling rapid learning from experiences and exploring the psychological impact on contact tracers.

Background: Given the unprecedented nature of the COVID-19 pandemic, the Irish health system required the redeployment of public sector staff and the recruitment of dedicated contact tracing staff in the effort to contain the spread of the virus. Contact tracing is crucial for effective disease control and is normally carried out by public health teams. Contact tracing staff are provided with rapid intensive training but are operating in a dynamic environment where processes and advice are adapting continuously. Real-time data is essential to inform strategy, coordinate interconnected processes, and respond to needs . Given that many contact tracers have been newly recruited or redeployed, they may not have significant experience in healthcare and may experience difficulties in managing the anxieties and emotional distress of the public. Aim: (i) identify emerging needs and issues and feed this information back to the Health Service Executive for updates to the COVID-19 Contact Management Programme (CMP); (ii) understand the psychological impact on contact tracers and inform the development of appropriate supports. Methods: We will use a mixed-methods approach. A brief online survey will be administered at up to three time points during 2021 to measure emotional exhaustion, anxiety, general health, and stress of contact tracing staff, identify tracing systems or processes issues, as well as issues of concern and confusion among the public. Interviews will also be conducted with a subset of participants to achieve a more in-depth understanding of these experiences. Observations may be conducted in contact tracing centres to document processes, practices, and explore any local contextual issues. Impact: Regular briefs arising from this research with data, analysis, and recommendations will aim to support the work of the CMP to identify problems and implement solutions. We will deliver regular feedback on systems issues; challenges; and the psychological well-being of contact tracing staff.

The CUSSH programme: supporting cities' transformational change towards health and sustainability.

This paper describes a global research programme on the complex systemic connections between urban development and health. Through transdisciplinary methods the Complex Urban Systems for Sustainability and Health (CUSSH) project will develop critical evidence on how to achieve the far-reaching transformation of cities needed to address vital environmental imperatives for planetary health in the 21st Century. CUSSH's core components include: (i) a review of evidence on the effects of climate actions (both mitigation and adaptation) and factors influencing their implementation in urban settings; (ii) the development and application of methods for tracking the progress of cities towards sustainability and health goals; (iii) the development and application of models to assess the impact on population health, health inequalities, socio-economic development and environmental parameters of urban development strategies, in order to support policy decisions; (iv) iterative in-depth engagements with stakeholders in partner cities in low-, middle- and high-income settings, using systems-based participatory methods, to test and support the implementation of the transformative changes needed to meet local and global health and sustainability objectives; (v) a programme of public engagement and capacity building. Through these steps, the programme will provide transferable evidence on how to accelerate actions essential to achieving population-level health and global climate goals through, amongst others, changing cities' energy provision, transport infrastructure, green infrastructure, air quality, waste management and housing.

Developing a programme theory for a transdisciplinary research collaboration: Complex Urban Systems for Sustainability and Health.

Background: Environmental improvement is a priority for urban sustainability and health and achieving it requires transformative change in cities. An approach to achieving such change is to bring together researchers, decision-makers, and public groups in the creation of research and use of scientific evidence. Methods: This article describes the development of a programme theory for Complex Urban Systems for Sustainability and Health (CUSSH), a four-year Wellcome-funded research collaboration which aims to improve capacity to guide transformational health and environmental changes in cities. Results: Drawing on ideas about complex systems, programme evaluation, and transdisciplinary learning, we describe how the programme is understood to "work" in terms of its anticipated processes and resulting changes. The programme theory describes a chain of outputs that ultimately leads to improvement in city sustainability and health (described in an 'action model'), and the kinds of changes that we expect CUSSH should lead to in people, processes, policies, practices, and research (described in a 'change model'). Conclusions: Our paper adds to a growing body of research on the process of developing a comprehensive understanding of a transdisciplinary, multiagency, multi-context programme. The programme theory was developed collaboratively over two years. It involved a participatory process to ensure that a broad range of perspectives were included, to contribute to shared understanding across a multidisciplinary team. Examining our approach allowed an appreciation of the benefits and challenges of developing a programme theory for a complex, transdisciplinary research collaboration. Benefits included the development of teamworking and shared understanding and the use of programme theory in guiding evaluation. Challenges included changing membership within a large group, reaching agreement on what the theory would be 'about', and the inherent unpredictability of complex initiatives.

Understanding the Role of Standards in the Negotiation of a Healthy Built Environment.

A growing number of international standards promote Healthy Built Environment (HBE) principles which aim to enhance occupant and user health and wellbeing. Few studies examine the implementation of these standards; whether and how they affect health through changes to built-environment design, construction, and operations. This study reviews a set of sustainability and HBE standards, based on a qualitative analysis of standard documents, standard and socio-technical literature on normalization and negotiation, and interviews with 31 practitioners from four geographical regions. The analysis indicates that standards can impact individual, organizational, and market-scale definitions of an HBE. Some changes to practice are identified, such as procurement and internal layout decisions. There is more limited evidence of changes to dominant, short-term decision-making practices related to cost control and user engagement in operational decisions. HBE standards risk establishing narrow definitions of health and wellbeing focused on building occupants rather than promoting broader, contextually situated, principles of equity, inclusion, and ecosystem functioning crucial for health. There is a need to improve sustainability and HBE standards to take better account of local contexts and promote systems thinking. Further examination of dominant collective negotiation processes is required to identify opportunities to better embed standards within organizational practice.

Implementing a National Electronic Referral Program: Qualitative Study.

BACKGROUND: Electronic referrals or e-referrals can be defined as the electronic transmission of patient data and clinical requests between health service providers. National electronic referral systems have proved challenging to implement due to problems of fit between the technical systems proposed and the existing sociotechnical systems. In seeming contradiction to a sociotechnical approach, the Irish Health Service Executive initiated an incremental implementation of a National Electronic Referral Programme (NERP), with step 1 including only the technical capability for general practitioners to submit electronic referral requests to hospital outpatient departments. The technology component of the program was specified, but any changes required to embed that technology in the existing sociotechnical system were not specified. OBJECTIVE: This study aimed to theoretically frame the lessons learned from the NERP step 1 on the design and implementation of a national health information technology program. METHODS: A case study design was employed, using qualitative interviews with key stakeholders of the NERP step 1 (N=41). A theory-driven thematic analysis of the interview data was conducted, using Barker et al's Framework for Going to Full Scale. RESULTS: The NERP step 1 was broadly welcomed by key stakeholders as the first step in the implementation of electronic referrals-delivering improvements in the speed, completeness of demographic information, and legibility and traceability of referral requests. National leadership and digitalized health records in general practice were critical enabling factors. Inhibiting factors included policy uncertainty about the future organizational structures within which electronic referrals would be implemented; the need to establish a central referral office consistent with these organizational structures; outstanding interoperability issues between the electronic referral solution and hospital patient administration systems; and an anticipated need to develop specialist referral templates for some specialties. A lack of specification of the sociotechnical elements of the NERP step 1 inhibited the necessary testing and refinement of the change package used to implement the program. CONCLUSIONS: The key strengths of the NERP step 1 are patient safety benefits. The NERP was progressed beyond the pilot stage despite limited resources and outstanding interoperability issues. In addition, a new electronic health unit in Ireland (eHealth Ireland) gained credibility in delivering national health information technology programs. Limitations of the program are its poor integration in the wider policy and quality improvement agenda of the Health Service Executive. The lack of specification of the sociotechnical elements of the program created challenges in communicating the program scope to key stakeholders and restricted the ability of program managers and implementers to test and refine the change package. This study concludes that while the sociotechnical elements of a national health information technology program do not need to be specified in tandem with technical elements, they do need to be specified early in the implementation process so that the change package used to implement the program can be tested and refined.

Bringing together patient and specialists: the first Birdshot Day.

BACKGROUND: The importance of patient and public involvement (PPI) in healthcare decisions and research is increasingly recognised. This paper describes the aims, delivery, evaluation and impact of a 'Birdshot Day' organised for patients with birdshot uveitis, their carers and healthcare professionals. METHODS: Delivery of this event involved the close collaboration of patients with a large number of different healthcare professionals. The event's evaluation used established social research methods including qualitative questionnaires pre, post and 6 months following the event. The results were statistically analysed. RESULTS: Results indicated that this event significantly educated both patients and professionals. The sense of isolation felt by patients was reduced and networking was developed among all attendees. Patient priorities for research were recorded and invaluable insight into patients' needs for a better quality of life was gained. CONCLUSIONS: The first undertaking of this novel PPI event achieved all its aims. It became even clearer that fundamental questions remain about birdshot uveitis, including aetiology, pathogenesis, practical clinical issues and impact on quality of life. These questions can only be addressed in partnership with patients. To this end, patients and professionals came together under the banner 'Team Birdshot' and the National Birdshot Research Network was launched.