Supply, demand and the economic effectiveness of urine-diverting technologies and products: A systematic literature review.

The broader adoption of urine-diverting technologies (UDTs) and related products has been proposed as a strategy for moving towards a more circular economy. While some studies have explored the performance of UDTs, the interconnected factors involving supply, demand, and economic feasibility of UDTs remain under-researched. Our systematic review addresses this gap. Our search identified only 64 relevant, peer-reviewed studies, 71 % of which addressed the supply side (primarily the technical aspect of UDTs) and 58 % of which addressed the demand side (focusing on consumers' perceptions). Approximately one-third (18) of these studies delved into the economic feasibility of UDTs, with only 9 employing a cost benefit analysis (CBA) framework. However, none of these studies have analysed the economic performance of UDTs that have been fully deployed, indicating a significant knowledge gap. Our review suggests that overcoming challenges in scaling up UDTs can be achieved by engaging those stakeholders driving the uptake, developing business cases that offer an overall understanding of both market and non-market benefits of UDTs, addressing technological constraints by optimising urine treatment options for efficiency and economic viability, and enhancing stakeholders' acceptance of UDTs.

Mechanisms underlying the associations between different types of nature exposure and sleep duration: An 18-country analysis.

Whilst green space has been linked to healthier sleep outcomes, the roles of specific types of nature exposure, potential underlying mechanisms, and between-country variations in nature-sleep associations have received little attention. Drawing on cross-sectional survey data from an 18-country sample of adults (N = 16,077) the current study examined: 1) the relative associations between six different types of nature exposure (streetscape greenery, blue view from home, green space within 1 km, coast within 1 km, green space visits, blue space visits) and insufficient sleep (<6 h vs. 7-10 h per day); 2) whether these relationships were mediated by better mental wellbeing and/or physical activity; and 3) the consistency of these pathways among the different countries. After controlling for covariates, neighbourhood nature measures (green space, coast within 1 km) were not significantly associated with insufficient sleep; but nature visible from home (streetscape greenery, blue views) and recreational visits to green and blue spaces were each associated with less insufficient sleep. Significant nature-sleep associations were mediated, to varying degrees, by better mental wellbeing, but not self-reported physical activity. Country-level heterogeneity in the strength of nature-sleep associations was observed. Increasing nature visible from the home may represent a promising strategy for promoting healthier sleep duration at the population level, whilst nature-based interventions encouraging individuals to spend time in local green/blue spaces may be an appropriate target to assist individuals affected by insufficient sleep.

Therapeutic Hospital Gardens: Literature Review and Working Definition.

AIM: This review explores the role of purposefully designed and well-integrated therapeutic hospital gardens (THGs) for the benefits of patients, their families, and staff. BACKGROUND: Significant benefits are realized when people are in contact with nature in the city. Although hospital gardens are prevalent and the beneficial effects of nature on health are widely acknowledged, the establishment of a consistent definition for hospital gardens that promote health is vital to attain reliable and quantifiable health outcomes. METHODS: Twenty-eight peer-reviewed journals were critiqued for the period of 2016-2021 and updated with 12 articles from 2021 to 2023 to analyze and synthesize the latest thinking and development in this emergent field. Subsequently, current books and exemplar practice literature were synthesized with the results of the literature review to produce a working definition of THGs. RESULTS: Three themes and 14 subthemes were established showing the interconnectedness of THG definition, user needs and experiences, and the benefits and values of THGs. Two original findings can be established-a need to have a consensus on terminology and to establish design processes. The working definition was produced as a foundational step to guide stakeholders in implementing THGs. CONCLUSION: THGs can play a role in improving well-being when they are purposefully designed and well-integrated in hospital programs and health policy. Hospital CEOs, designers, and healthcare experts can use the findings and working definition to assist the establishment of such health promoting gardens.

Nature contact and general health: Testing multiple serial mediation pathways with data from adults in 18 countries.

The role of neighbourhood nature in promoting good health is increasingly recognised in policy and practice, but consistent evidence for the underlying mechanisms is lacking. Heterogeneity in exposure methods, outcome measures, and population characteristics, little exploration of recreational use or the role of different types of green or blue space, and multiple separate mediation models in previous studies have limited our ability to synthesise findings and draw clear conclusions. We examined multiple pathways linking different types of neighbourhood nature with general health using a harmonised international sample of adults. Using cross-sectional survey data from 18 countries (n = 15,917), we developed a multigroup path model to test theorised pathways, controlling for sociodemographic variables. We tested the possibility that neighbourhood nature (e.g. greenspace, inland bluespace, and coastal bluespace) would be associated with general health through lower air pollution exposure, greater physical activity attainment, more social contact, and higher subjective well-being. However, our central prediction was that associations between different types of neighbourhood nature and general health would largely be serially mediated by recent visit frequency to corresponding environment types, and, subsequently, physical activity, social contact, and subjective well-being associated with these frequencies. Several subsidiary analyses assessed the robustness of the results to alternative model specifications as well as effect modification by sociodemographics. Consistent with this prediction, there was statistical support for eight of nine potential serial mediation pathways via visit frequency which held for a range of alternative model specifications. Effect modification by financial strain, sex, age, and urbanicity altered some associations but did not necessarily support the idea that nature reduced health inequalities. The results demonstrate that across countries, theorised nature-health linkages operate primarily through recreational contact with natural environments. This provides arguments for greater efforts to support use of local green/blue spaces for health promotion and disease prevention.

Applying an ecosystem services framework on nature and mental health to recreational blue space visits across 18 countries.

The effects of 'nature' on mental health and subjective well-being have yet to be consistently integrated into ecosystem service models and frameworks. To address this gap, we used data on subjective mental well-being from an 18-country survey to test a conceptual model integrating mental health with ecosystem services, initially proposed by Bratman et al. We analysed a range of individual and contextual factors in the context of 14,998 recreational visits to blue spaces, outdoor environments which prominently feature water. Consistent with the conceptual model, subjective mental well-being outcomes were dependent upon on a complex interplay of environmental type and quality, visit characteristics, and individual factors. These results have implications for public health and environmental management, as they may help identify the bluespace locations, environmental features, and key activities, that are most likely to impact well-being, but also potentially affect recreational demand on fragile aquatic ecosystems.

Enabling Transformational Leadership to Foster Disaster-Resilient Hospitals.

Hospitals' operational performance during disasters varies from failing, to being responsive and resilient, to dealing with disruption and surprise. Transformational leaders enable continuously learning hospitals that are resilient in the face of disasters by adapting regeneratively and evolving beyond undertaking conventional lesson-learning after each disaster. However, learning from successful transformational leaders in healthcare is still ad hoc with a lack of guidance on how to develop such leaders. Hence, this study sought to identify key competencies of transformational leaders by exploring hospital leaders' actions in dealing with disasters, considering the disaster cycle of prevention, preparedness, response, and recovery (PPRR). A qualitative case-study design was adopted comprising in-depth semi-structured interviews with twelve senior hospital staff with operational leadership experience with disasters. Three significant categories (themes) and seven key component competencies (sub-themes, in brackets) of transformational leaders were revealed through the analysis of transcripts: (1) 'Governance and leadership' ('transformative agency' and 'decisive accountability'); (2) 'Planning and risk assessment' ('risk navigation', 'disaster attunement', and 'planning agility'); and (3) 'Communication and network engagement' ('communication accelerator' and 'collaboration innovator'). The authors propose a transformational leadership model for hospital disaster resilience and an assessment checklist for leaders' self-reflection to support hospitals in their transition to resilient operations.

An exploration of challenges associated with machine learning for time series forecasting of COVID-19 community spread using wastewater-based epidemiological data.

Wastewater-based epidemiology (WBE) has gained increasing attention as a complementary tool to conventional surveillance methods with potential for significant resource and labour savings when used for public health monitoring. Using WBE datasets to train machine learning algorithms and develop predictive models may also facilitate early warnings for the spread of outbreaks. The challenges associated with using machine learning for the analysis of WBE datasets and timeseries forecasting of COVID-19 were explored by running Random Forest (RF) algorithms on WBE datasets across 108 sites in five regions: Scotland, Catalonia, Ohio, the Netherlands, and Switzerland. This method uses measurements of SARS-CoV-2 RNA fragment concentration in samples taken at the inlets of wastewater treatment plants, providing insight into the prevalence of infection in upstream wastewater catchment populations. RF's forecasting performance at each site was quantitatively evaluated by determining mean absolute percentage error (MAPE) values, which was used to highlight challenges affecting future implementations of RF for WBE forecasting efforts. Performance was generally poor using WBE datasets from Catalonia, Scotland, and Ohio with 'reasonable' or better forecasts constituting 0 %, 5 %, and 0 % of these regions' forecasts, respectively. RF's performance was much stronger with WBE data from the Netherlands and Switzerland, which provided 55 % and 45 % 'reasonable' or better forecasts respectively. Sampling frequency and training set size were identified as key factors contributing to accuracy, while inclusion of too many unnecessary variables (or e.g., flow data) was identified as a contributing factor to poor performance. The contribution of catchment population on forecast accuracy was more ambiguous. This study determined that the factors governing RF's forecast performance are complicated and interrelated, which presents challenges for further work in this space. A sufficiently accurate further iteration of the tool discussed within this study would provide significant but varying value for public health departments for monitoring future, or ongoing outbreaks, assisting the implementation of on-time health response measures.

Healthcare Workers' Resilience Toolkit for Disaster Management and Climate Change Adaptation.

Climate change has been recognised as a multiplier of risk factors affecting public health. Disruptions caused by natural disasters and other climate-driven impacts are placing increasing demands on healthcare systems. These, in turn, impact the wellness and performance of healthcare workers (HCWs) and hinder the accessibility, functionality and safety of healthcare systems. This study explored factors influencing HCWs' disaster management capabilities with the aim of improving their resilience and adaptive capacity in the face of climate change. In-depth, semi-structured interviews were conducted with thirteen HCWs who dealt with disasters within two hospitals in Queensland, Australia. Analysis of the results identified two significant themes, HCWs' disaster education and HCWs' wellness and needs. The latter comprised five subthemes: HCWs' fear and vulnerability, doubts and uncertainty, competing priorities, resilience and adaptation, and needs assessment. This study developed an 'HCWs Resilience Toolkit', which encourages mindfulness amongst leaders, managers and policymakers about supporting four priority HCWs' needs: 'Wellness', 'Education', 'Resources' and 'Communication'. The authors focused on the 'Education' component to detail recommended training for each of the pre-disaster, mid-disaster and post-disaster phases. The authors conclude the significance of the toolkit, which provides a timely contribution to the healthcare sector amidst ongoing adversity.

Investigating Organizational Learning and Adaptations for Improved Disaster Response Towards "Resilient Hospitals:" An Integrative Literature Review.

BACKGROUND: For hospitals, learning from disaster response efforts and adapting organizational practices can improve resilience in dealing with future disruptions. However, amidst global disruptions by climate change, the coronavirus disease 2019 (COVID-19) pandemic, and other disasters, hospitals' ability to cope continues to be highly variable. Hence, there are increasing calls to improve hospitals' capabilities to grow and adapt towards enhanced resilience. AIM: This study aims two-fold: (1) to characterize the current state of knowledge about how hospitals are gaining knowledge from their responses to disasters, and (2) to explore how this knowledge can be applied to inform organizational practices for hospital resilience. METHOD: This study used Preferred Reporting Items of Systematic Reviews and Meta-Analysis (PRISMA) guidelines for data collection and framework for data analysis, Covidence software, and Medical Subject Headings (MeSH) terms and keywords relevant to "hospitals," "learn," "disaster response," and "resilience." The quality appraisal used an adapted version of the Mixed Methods Assessment Tool (MMAT). RESULTS: After applying inclusion and exclusion criteria and quality appraisal, out of the 420 articles retrieved, 22 articles remained for thematic and content analysis. The thematic analysis included the hospital's functional (operational) and physical (structural and non-structural) sections. The content analysis followed nine learning areas (Governance and Leadership, Planning and Risk Assessment, Surveillance and Monitoring, Communication and Network Engagement, Staff Practices and Safety, Equipment and Resources, Facilities and Infrastructure, Novelty and Innovation, and Learning and Evaluation).On applying the Deming cycle, only four studies described a completed learning cycle wherein hospitals adapted their organizational structures using the prior experience and evaluation gained in responding to disaster(s). CONCLUSIONS: There is a gap between hospitals' organizational learning and institutionalized practice. The conceptualized Hybrid Resilience Learning Framework (HRLF) aims to guide the hospitals' decision makers in evaluating organizational resilience and knowledge.In the face of disasters, both the stressful factors and the coping strategies that affect the health care workers (HCWs) should be substantially considered.

Maintaining a social license to operate for wastewater-based monitoring: The case of managing infectious disease and the COVID-19 pandemic.

Wastewater monitoring as a public health tool is well-established and the SARS-CoV-2 (COVID-19) pandemic has seen its widespread uptake. Given the significant potential of wastewater monitoring as a public health surveillance and decision support tool, it is important to understand what measures are required to allow the long-term benefits of wastewater monitoring to be fully realized, including how to establish and/or maintain public support. The potential for positive SARS-CoV-2 detections to trigger enforced, community-wide public health interventions (e.g., lockdowns and other impacts on civil liberties) further emphasises the need to better understand the role of public engagement in successful wastewater-based monitoring programs. This paper systematically reviews the processes of building and maintaining the social license to operate wastewater monitoring. We specifically explore the relationship between different stakeholder communities and highlight the information and actions that are required to establish a social license to operate and then prevent its loss. The paper adds to the literature on social license to operate by extending its application to new domains and offers a dynamic model of social license to help guide the agenda for researcher and practitioner communities.

Associations between green/blue spaces and mental health across 18 countries.

Living near, recreating in, and feeling psychologically connected to, the natural world are all associated with better mental health, but many exposure-related questions remain. Using data from an 18-country survey (n = 16,307) we explored associations between multiple measures of mental health (positive well-being, mental distress, depression/anxiety medication use) and: (a) exposures (residential/recreational visits) to different natural settings (green/inland-blue/coastal-blue spaces); and (b) nature connectedness, across season and country. People who lived in greener/coastal neighbourhoods reported higher positive well-being, but this association largely disappeared when recreational visits were controlled for. Frequency of recreational visits to green, inland-blue, and coastal-blue spaces in the last 4 weeks were all positively associated with positive well-being and negatively associated with mental distress. Associations with green space visits were relatively consistent across seasons and countries but associations with blue space visits showed greater heterogeneity. Nature connectedness was also positively associated with positive well-being and negatively associated with mental distress and was, along with green space visits, associated with a lower likelihood of using medication for depression. By contrast inland-blue space visits were associated with a greater likelihood of using anxiety medication. Results highlight the benefits of multi-exposure, multi-response, multi-country studies in exploring complexity in nature-health associations.

Utility of QMRA to compare health risks associated with alternative urban sewer overflow management strategies.

Wet weather sewer overflows pose potential short-term public health risks. With increasing populations, aging infrastructure and climate change, utilities are challenged with managing sewerage infrastructure to provide optimum outcomes. This study compared how modelled public health risk profiles could change under alternative sewer overflow management strategies during 12 and 24-month rainfall-runoff events. Specifically, existing conditions were compared with both a 'business-as-usual' (BAU) sewer upgrade and a more holistic 'effects-based planning' (EBP) approach based on pumped wet weather sewage overflows directed to a local receiving waterway. Options were compared based on their efficacy to reduce manhole overflows, recreational waterway guideline exceedances and downstream recreational waterway health risks estimated through a screening-level Quantitative Microbial Risk Assessment (QMRA). Results indicated that the two management strategies would be equally effective in reducing the frequency, duration and volume of manhole sewer overflows, eliminating them in the 12-month scenarios and reducing them from >5000 m3 for the 24-month baseline scenario, to 23 and 35 m3 for BAU and EBP, respectively. Baseline, BAU and EBP scenarios produced similar hours of enterococci guideline exceedances, ranging from 1 to 4 h difference. The QMRA produced similar health risk profiles for downstream recreational waterway users for all design events, suggesting that sewer overflows are not the primary driver of public health risks during and immediately following high rainfall events. As such, QMRA provided evidence that an EBP strategy may be used to manage wet weather sewer overflows in lieu of an expensive BAU upgrade, without exacerbating the public health of downstream waterway users. Further investigation of the broader environmental health impacts of implementing this type of innovative approach is warranted. Nonetheless, this work highlights the value of integrating QMRA with other modelling approaches to guide and inform sewer overflow management.

Changes in perceptions of urban green space are related to changes in psychological well-being: Cross-sectional and longitudinal study of mid-aged urban residents.

We used data from 5,014 mid-aged adults in the HABITAT study, across two waves (2009 and 2011), to explore associations between perceptions of quantity of urban green space and psychological well-being. Linear regression revealed that perceptions of urban green space quantity were significantly and positively associated with psychological well-being at both time-points. A longitudinal, fixed effects, two-period difference regression revealed that within-person change in perceptions of green space quantity across two years was positively associated with psychological well-being. All associations remained significant after controlling for age, gender, household income, education, occupation and neighbourhood disadvantage. Our findings indicate that psychological well-being is associated with perceptions of local urban green space. Subjective measures of green space are an important factor that need to be considered when exploring the relationship between green space and mental health. These findings are timely given the growing interest in urban green space interventions for combating increasing mental ill-health rates as well as promoting well-being among expanding urban populations.

Challenges for environmental hygiene practices in Australian paramedic-led health care: A brief report.

This study explored the self-reported behaviors and perceptions of Australian paramedics in relation to their environmental hygiene practices. A national online survey was conducted with Paramedics Australasia members (N = 417). Participants reported working in ambulances often contaminated with body fluids. Widespread noncompliance with routine and deep cleaning of ambulances, and misunderstandings about environmental hygiene practices were apparent. Improvements to environmental hygiene practices of Australian paramedics are recommended to avoid pathogen transmission and ensure patient safety.

Self-reported behaviors and perceptions of Australian paramedics in relation to hand hygiene and gloving practices in paramedic-led health care.

BACKGROUND: Noncompliance with recommended hand hygiene and gloving practices by workers in the emergency medical services may contribute to the transmission of health care-associated infections and lead to poor patient outcomes. The aim of this study was to explore the self-reported behaviors and perceptions of Australian paramedics in relation to their hand hygiene and gloving practices in paramedic-led health care. METHODS: A national online survey (n = 417; 17% response rate) and 2 semistructured focus groups (6 per group) were conducted with members of Paramedics Australasia. RESULTS: Although most of the study participants perceived hand hygiene and gloving to be important, the findings suggest poor compliance with both practices, particularly during emergency cases. All participants reported wearing gloves throughout a clinical case, changing them either at the completion of patient care or when visibly soiled or broken. Hand hygiene was missed at defined moments during patient care, possibly from the misuse of gloves. CONCLUSIONS: Paramedic hand hygiene and gloving practices require substantial improvement to lower potential transmission of pathogens and improve patient safety and clinical care. Further research is recommended to explore how to alleviate the barriers to performing in-field hand hygiene and the misuse of gloves during paramedic-led health care.

DNA Heat Treatment for Improving qPCR Analysis of Human Adenovirus in Wastewater.

PCR inhibitory substances in complex sample matrices can cause false negatives or under-estimation of target concentration. This study assessed DNA heat treatment for reducing inhibition during qPCR analysis of human adenovirus (HAdV) in wastewater samples. Inhibition was reduced by heat treating DNA, where mean HAdV concentration was increased by 0.71 log10 GC/L (and up to 3.04 log10 GC/L in one case), and replicate variability and false negatives were reduced. DNA heat treatment should be further investigated for improving reliability of HAdV concentration estimates in water, which can support more accurate assessment of health risks associated with viral pathogen exposure.

Guidelines for Use of the Approximate Beta-Poisson Dose-Response Model.

For dose-response analysis in quantitative microbial risk assessment (QMRA), the exact beta-Poisson model is a two-parameter mechanistic dose-response model with parameters α>0 and ß>0, which involves the Kummer confluent hypergeometric function. Evaluation of a hypergeometric function is a computational challenge. Denoting PI(d) as the probability of infection at a given mean dose d, the widely used dose-response model PI(d)=1-(1+dß)-α is an approximate formula for the exact beta-Poisson model. Notwithstanding the required conditions α<<ß and ß>>1, issues related to the validity and approximation accuracy of this approximate formula have remained largely ignored in practice, partly because these conditions are too general to provide clear guidance. Consequently, this study proposes a probability measure Pr(0 < r < 1 | α̂, ß̂) as a validity measure (r is a random variable that follows a gamma distribution; α̂ and ß̂ are the maximum likelihood estimates of α and ß in the approximate model); and the constraint conditions ß̂>(22α̂)0.50 for 0.02<α̂<2 as a rule of thumb to ensure an accurate approximation (e.g., Pr(0 < r < 1 | α̂, ß̂) >0.99) . This validity measure and rule of thumb were validated by application to all the completed beta-Poisson models (related to 85 data sets) from the QMRA community portal (QMRA Wiki). The results showed that the higher the probability Pr(0 < r < 1 | α̂, ß̂), the better the approximation. The results further showed that, among the total 85 models examined, 68 models were identified as valid approximate model applications, which all had a near perfect match to the corresponding exact beta-Poisson model dose-response curve.

Technical aspects of using human adenovirus as a viral water quality indicator.

Despite dramatic improvements in water treatment technologies in developed countries, waterborne viruses are still associated with many of cases of illness each year. These illnesses include gastroenteritis, meningitis, encephalitis, and respiratory infections. Importantly, outbreaks of viral disease from waters deemed compliant from bacterial indicator testing still occur, which highlights the need to monitor the virological quality of water. Human adenoviruses are often used as a viral indicator of water quality (faecal contamination), as this pathogen has high UV-resistance and is prevalent in untreated domestic wastewater all year round, unlike enteroviruses and noroviruses that are often only detected in certain seasons. Standard methods for recovering and measuring adenovirus numbers in water are lacking, and there are many variations in published methods. Since viral numbers are likely under-estimated when optimal methods are not used, a comprehensive review of these methods is both timely and important. This review critically evaluates how estimates of adenovirus numbers in water are impacted by technical manipulations, such as during adenovirus concentration and detection (including culturing and polymerase-chain reaction). An understanding of the implications of these issues is fundamental to obtaining reliable estimation of adenovirus numbers in water. Reliable estimation of HAdV numbers is critical to enable improved monitoring of the efficacy of water treatment processes, accurate quantitative microbial risk assessment, and to ensure microbiological safety of water.

A Generalized QMRA Beta-Poisson Dose-Response Model.

Quantitative microbial risk assessment (QMRA) is widely accepted for characterizing the microbial risks associated with food, water, and wastewater. Single-hit dose-response models are the most commonly used dose-response models in QMRA. Denoting PI(d) as the probability of infection at a given mean dose d, a three-parameter generalized QMRA beta-Poisson dose-response model, PI(d|α,ß,r*), is proposed in which the minimum number of organisms required for causing infection, Kmin , is not fixed, but a random variable following a geometric distribution with parameter 0