RESUMEN

Innovative approaches are needed for managing risk and system change in healthcare. This paper presents a case study of a project that took place over two years, taking a systems approach to managing the risk of healthcare acquired infection in an acute hospital setting, supported by an Access Risk Knowledge Platform which brings together Human Factors Ergonomics, Data Science, Data Governance and AI expertise. Evidence for change including meeting notes and use of the platform were studied. The work on the project focused on first systematically building a rich picture of the current situation from a transdisciplinary perspective. This allowed for understanding risk in context and developing a better capability to support enterprise risk management and accountability. From there a linking of operational and risk data took place which led to mapping of the risk pattern in the hospital.

Innovative ways of supporting the processes for managing risk, developing accountability and building resilience and system change in healthcare are needed.This paper presents a study that took place over two years, taking a systems approach to managing the risk of healthcare acquired infection in an acute hospital setting, supported by Human Factors Ergonomics, Data Science, Data Governance and AI.The work focused on systematically building a proactive capability to understand all data sources and harness their ability to support the proactive management of the risk of healthcare acquired infection.

RESUMEN

Introduction: Organisms engineered with synthetic genes and genomes have the potential to play critical roles to address important issues in the environment, human health, and manufacturing. Engineered genetic biocontainment technologies are needed to manage the risks of unintended consequences when deploying these biological systems in consultation with the biosafety and biosecurity communities. Metrics measuring genetic biocontainment and a methodology to apply them are required to determine which genetic biocontainment technologies warrant further development for real-world applications. In this study, we develop and apply a systems analysis of the current technical landscape using expert opinion and a metric-based scoring system resulting in a semiquantitative comparative assessment of genetic biocontainment technologies in microorganisms. Methods: Genetic biocontainment technologies were evaluated according to multiple metrics, falling into two broad classes: feasibility and applicability. Specific genetic biocontainment example scenarios and generalized categories were scored with these metrics. Gap analysis was carried out, indicating particular areas where genetic biocontainment can be improved. Results: Metric analysis scoring of feasibility and applicability enabled prioritization of genetic biocontainment technologies for real-world applications. Gap analysis showed that technology readiness and containment stability scored low for a number of scenarios and categories, indicating a general need for further development before they can be ready for deployment. Conclusion: Developing an assessment framework with defined metrics produced a straightforward system for evaluating genetic biocontainment strategies intended for various real-world applications. Use of the methodology also provided insights into existing gaps in genetic biocontainment strategies, and by altering the metrics, can be applied to other biotechnologies.

RESUMEN

Background: We sought to identify what barriers and facilitators determine current perceived access to childhood cancer care in South Africa through in-depth interviews with stakeholders in South Africa's public and private sectors. Methods: Qualitative semi-structured interviews were conducted with 29 key health system stakeholders, including policy-makers and regulators, medical insurance scheme informants, medicine suppliers, healthcare providers and civil society stakeholders. Identified barriers and facilitators in access to medicines and broader care were structured according to the pharmaceutical value chain (PVC). Results: Barriers and facilitators were identified across all components of the PVC. Key barriers included (1) a lack of political commitment to childhood cancers, (2) discontinuation of essential chemotherapeutics, (3) incomplete insurance coverage for childhood cancers, (4) stock-outs of essential medicines, (5) the inability to access care, including travel to healthcare facilities and (6) low awareness on childhood cancers among primary healthcare (PHC) workers. Proposed priority interventions included pricing flexibilities, increased transparency and consistency in decision-making and healthcare spending, and improved training of PHC staff, nurses and pharmacists on childhood cancers. Conclusion: This first comprehensive study of determinants of access to medicines used in childhood cancer in South Africa provides context-specific evidence for targeted policy development.

RESUMEN

Modern concepts in irreversible thermodynamics are applied to system transformation and degradation analyses. Phenomenological entropy generation (PEG) theorem is combined with the Degradation-Entropy Generation (DEG) theorem for instantaneous multi-disciplinary, multi-scale, multi-component system characterization. A transformation-PEG theorem and space materialize with system and process defining elements and dimensions. The near-100% accurate, consistent results and features in recent publications demonstrating and applying the new TPEG methods to frictional wear, grease aging, electrochemical power system cycling-including lithium-ion battery thermal runaway-metal fatigue loading and pump flow are collated herein, demonstrating the practicality of the new and universal PEG theorem and the predictive power of models that combine and utilize both theorems. The methodology is useful for design, analysis, prognostics, diagnostics, maintenance and optimization.

RESUMEN

This research introduces a novel global sensitivity analysis (GSA) framework for agent-based models (ABMs) that explicitly handles their distinctive features, such as multi-level structure and temporal dynamics. The framework uses Grassmannian diffusion maps to reduce output data dimensionality and sparse polynomial chaos expansion (PCE) to compute sensitivity indices for stochastic input parameters. To demonstrate the versatility of the proposed GSA method, we applied it to a non-linear system dynamics model and epidemiological and economic ABMs, depicting different dynamics. Unlike traditional GSA approaches, the proposed method enables a more general estimation of parametric sensitivities spanning from the micro level (individual agents) to the macro level (entire population). The new framework encourages the use of manifold-based techniques in uncertainty quantification, enhances understanding of complex spatio-temporal processes, and equips ABM practitioners with robust tools for detailed model analysis. This empowers them to make more informed decisions when developing, fine-tuning, and verifying models, thereby advancing the field and improving routine practice for GSA in ABMs.

RESUMEN

This research introduces an innovative framework for addressing the escalating issue of greenhouse gas emissions through the integration of game theory with differential equations, proposing a novel model to simulate the regulatory dynamics between emission sources and legislative actions. By blending advanced mathematical modeling with environmental science, this paper underscores the critical necessity for pioneering, proactive strategies in environmental management and policy formulation. Central to our approach is the simulation of interactions within a game-theoretic context, aiming to delineate optimal strategies for emission sources and regulatory bodies, factoring in legislative constraints and environmental ramifications. The methodology employs a system of ordinary differential equations, capturing the dynamic, non-stationary nature of atmospheric processes and offering a realistic portrayal of the challenges in mitigating greenhouse gas emissions. Furthermore, the study introduces a fee-based regulatory mechanism designed to encourage emission reductions, highlighting the economic implications of such strategies. Significantly contributing to environmental management, this research presents a detailed model capable of predicting the trajectory of greenhouse gas emissions over a decade, considering the potential impact of technological innovations in emission control. The conclusion emphasizes the promising role of artificial intelligence in refining environmental governance, acknowledging the complexities and limitations inherent in predictive modeling. Aimed at policymakers and environmental scientists, this paper serves as a strategic tool for informed decision-making, advocating for a multidisciplinary approach to develop sustainable, effective solutions to combat one of the most critical environmental challenges facing the globe today.

RESUMEN

INTRODUCTION: Alterations in motor activity are well-established symptoms of bipolar disorder, and time series of motor activity can be considered complex dynamical systems. In such systems, early warning signals (EWS) occur in a critical transition period preceding a sudden shift (tipping point) in the system. EWS are statistical observations occurring due to a system's declining ability to maintain homeostasis when approaching a tipping point. The aim was to identify critical transition periods preceding bipolar mood state changes. METHODS: Participants with a validated bipolar diagnosis were included to a one-year follow-up study, with repeated assessments of the participants' mood. Motor activity was recorded continuously by a wrist-worn actigraph. Participants assessed to have relapsed during follow-up were analyzed. Recognized EWS features were extracted from the motor activity data and analyzed by an unsupervised change point detection algorithm, capable of processing multi-dimensional data and developed to identify when the statistical property of a time series changes. RESULTS: Of 49 participants, four depressive and four hypomanic/manic relapses among six individuals occurred, recording actigraphy for 23.8 ± 0.2 h/day, for 39.8 ± 4.6 days. The algorithm detected change points in the time series and identified critical transition periods spanning 13.5 ± 7.2 days. For depressions 11.4 ± 1.8, and hypomania/mania 15.6 ± 10.2 days. CONCLUSION: The change point detection algorithm seems capable of recognizing impending mood episodes in continuous flowing data streams. Hence, we present an innovative method for forecasting approaching relapses to improve the clinical management of bipolar disorder.

Asunto(s)

RESUMEN

Alzheimer's disease (AD) manifests as a complex systems pathology with intricate interplay among various genes and biological processes. Traditional differential gene expression (DEG) analysis, while commonly employed to characterize AD-driven perturbations, does not sufficiently capture the full spectrum of underlying biological processes. Utilizing single-nucleus RNA-sequencing data from postmortem brain samples across key regions-middle temporal gyrus, superior frontal gyrus, and entorhinal cortex-we provide a comprehensive systematic analysis of disrupted processes in AD. We go beyond the DEG-centric analysis by integrating pathway activity analysis with weighted gene co-expression patterns to comprehensively map gene interconnectivity, identifying region- and cell-type-specific drivers of biological processes associated with AD. Our analysis reveals profound modular heterogeneity in neurons and glia as well as extensive AD-related functional disruptions. Co-expression networks highlighted the extended involvement of astrocytes and microglia in biological processes beyond neuroinflammation, such as calcium homeostasis, glutamate regulation, lipid metabolism, vesicle-mediated transport, and TOR signaling. We find limited representation of DEGs within dysregulated pathways across neurons and glial cells, indicating that differential gene expression alone may not adequately represent the disease complexity. Further dissection of inferred gene modules revealed distinct dynamics of hub DEGs in neurons versus glia, highlighting the differential impact of DEGs on neurons compared to glial cells in driving modular dysregulations underlying perturbed biological processes. Interestingly, we note an overall downregulation of both astrocyte and microglia modules in AD across all brain regions, suggesting a prevailing trend of functional repression in glial cells across these regions. Notable genes, including those of the CALM and HSP90 family genes emerged as hub genes across neuronal modules in all brain regions, indicating conserved roles as drivers of synaptic dysfunction in AD. Our findings demonstrate the importance of an integrated, systems-oriented approach combining pathway and network analysis for a comprehensive understanding of the cell-type-specific roles of genes in AD-related biological processes.

RESUMEN

Rationale & Objective: A high level of cooperation between organ procurement organizations and transplant programs may help maximize use of deceased donor kidneys. The practices that are essential for a high functioning organ donation and transplant system remain uncertain. We sought to report metrics of organ donation and transplant performance in British Columbia, Canada, and to assess the association of specific policies and practices that contribute to the system's performance. Study Design: A retrospective observational study. Setting & Participants: Referred deceased organ donors in British Columbia were used in the study from January 1, 2016, to December 31 2019. Exposures: Provincial, organ procurement organization, and center level policies were implemented to improve donor referral and organ utilization. Outcomes: Assessment of donor and kidney utilization along steps of the critical pathway for organ donation. Analytical Approach: Deceased donors were classified according to the critical pathway for organ donation and key donation and transplant metrics were identified. Results: There were 1,948 possible donors referred. Of 1,948, 754 (39%) were potential donors. Of 754 potential donors, 587 (78%) were consented donors. Of 587 consented donors, 480 (82%) were eligible kidney donors. Of 480 eligible kidney donors, 438 (91%) were actual kidney donors. And of 438 actual kidney donors, 432 (99%) were utilized kidney donors. One-year all-cause allograft survival was 95%. Practices implemented to improve the system's performance included hospital donor coordinators, early communication between the organ procurement organization and transplant nephrologists, dedicated organ recovery and implant surgeons, aged-based kidney allocation, and hospital admission of recipients before kidney recovery. Limitations: Assignment of causality between individual policies and practices and organ donation and utilization is limited in this observational study. Conclusions: In British Columbia, consent for donation, utilization of donated kidneys, and transplant survival are exceptionally high, suggesting the importance of an integrated deceased donor and kidney transplant service.

Optimization of all possible opportunities for deceased donor kidney donation and transplantation is essential to meet the need for transplantation. We examined the performance of organ procurement and transplant in a deceased organ donor system in British Columbia, Canada, and reviewed policies and practices that may contribute to the system's performance. We found a high level of donation, transplantation, and survival of donated kidneys and identified policies and practices that likely contribute to the system's performance.

RESUMEN

BACKGROUND: Undiagnosed and untreated hypertension is a main driver of cardiovascular disease and disproportionately affects persons living with HIV (PLHIV) in low- and middle-income countries. Across sub-Saharan Africa, guideline application to screen and manage hypertension among PLHIV is inconsistent due to poor service readiness, low health worker motivation, and limited integration of hypertension screening and management within HIV care services. In Mozambique, where the adult HIV prevalence is over 13%, an estimated 39% of adults have hypertension. As the only scaled chronic care service in the county, the HIV treatment platform presents an opportunity to standardize and scale hypertension care services. Low-cost, multi-component systems-level strategies such as the Systems Analysis and Improvement Approach (SAIA) have been found effective at integrating hypertension and HIV services to improve the effectiveness of hypertension care delivery for PLHIV, reduce drop-offs in care, and improve service quality. To build off lessons learned from a recently completed cluster randomized trial (SAIA-HTN) and establish a robust evidence base on the effectiveness of SAIA at scale, we evaluated a scaled-delivery model of SAIA (SCALE SAIA-HTN) using existing district health management structures to facilitate SAIA across six districts of Maputo Province, Mozambique. METHODS: This study employs a stepped-wedge design with randomization at the district level. The SAIA strategy will be "scaled up" with delivery by district health supervisors (rather than research staff) and will be "scaled out" via expansion to Southern Mozambique, to 18 facilities across six districts in Maputo Province. SCALE SAIA-HTN will be introduced over three, 9-month waves of intensive intervention, where technical support will be provided to facilities and district managers by study team members from the Mozambican National Institute of Health. Our evaluation of SCALE SAIA-HTN will be guided by the RE-AIM framework and will seek to estimate the budget impact from the payer's perspective. DISCUSSION: SAIA packages user-friendly systems engineering tools to support decision-making by frontline health workers and to identify low-cost, contextually relevant improvement strategies. By integrating SAIA delivery into routine management structures, this pragmatic trial will determine an effective strategy for national scale-up and inform program planning. TRIAL REGISTRATION: ClinicalTrials.gov NCT05002322 (registered 02/15/2023).

RESUMEN

BACKGROUND: The adoption of C-reactive protein point-of-care tests (CRP POCTs) in hospitals varies across Europe. We aimed to understand the factors that contribute to different levels of adoption of CRP POCTs for the management of acute childhood infections in two countries. METHODS: Comparative qualitative analysis of the implementation of CRP POCTs in the Netherlands and England. The study was informed by the non-adoption, abandonment, spread, scale-up, and sustainability (NASSS) framework. Data were collected through document analysis and qualitative interviews with stakeholders. Documents were identified by a scoping literature review, search of websites, and through the stakeholders. Stakeholders were sampled purposively initially, and then by snowballing. Data were analysed thematically. RESULTS: Forty-one documents resulted from the search and 46 interviews were conducted. Most hospital healthcare workers in the Netherlands were familiar with CRP POCTs as the tests were widely used and trusted in primary care. Moreover, although diagnostics were funded through similar Diagnosis Related Group reimbursement mechanisms in both countries, the actual funding for each hospital was more constrained in England. Compared to primary care, laboratory-based CRP tests were usually available in hospitals and their use was encouraged in both countries because they were cheaper. However, CRP POCTs were perceived as useful in some hospitals of the two countries in which the laboratory could not provide CRP measures 24/7 or within a short timeframe, and/or in emergency departments where expediting patient care was important. CONCLUSIONS: CRP POCTs are more available in hospitals in the Netherlands because of the greater familiarity of Dutch healthcare workers with the tests which are widely used in primary care in their country and because there are more funding constraints in England. However, most hospitals in the Netherlands and England have not adopted CRP POCTs because the alternative CRP measurements from the hospital laboratory are available in a few hours and at a lower cost.

Asunto(s)

RESUMEN

Over two decades have passed since the publication of van Gelder's (1998) "dynamical hypothesis." In that paper, van Gelder proposed that cognitive agents were not digital computers-per the representational computational approach-but dynamical systems. The evolution of the dynamical hypothesis was driven by parallel advances in three areas. Theoretically, a deeper understanding of genetics, biology, neuroscience, and cognitive science inspired questions about how systems within each domain dynamically interact and extend their effects across spatiotemporal scales. Methodologically, more sophisticated and domain-general tools allowed researchers to discover, model, and quantify system dynamics, structure, and patterns across multiple scales to generate a more comprehensive system-level understanding of behaviors. Empirically, we can analyze a system's behavior while preserving its natural dynamics, revealing evidence that the reductionist approach leads to an incomplete understanding of the components and the overall system. Researchers have traditionally reduced a complex system into its component processes and assumed that the parts can be recombined to explain the whole. These three advances fundamentally altered our understanding of a "cognitive agent:" How their behaviors are driven by long-range coordination across multiple processes, how the interdependent and nested structure of interacting variables produces behaviors that are greater than the sum of its parts, and how environmental constraints shape adaptive yet stable behavioral patterns.

RESUMEN

Developing and improving organizational processes is an important element for staff satisfaction, effective communication, and ultimately the success of an organization (Rummler & Brache, 2013). Human-service organizations are no exception and, in fact, could greatly benefit from process improvement. This article provides guided steps for using process maps as a means for improving processes in human-service organizations.

RESUMEN

BACKGROUND: As summarized in this article, the widespread implementation of modern school health education (SHE) could become one of the most effective means available to improve the well-being of people in the United States and in other nations. However, the development and evolution of SHE largely remains unorganized, underdeveloped, and neglected by health and education agencies, policymakers, and the public. METHODS: Essential to the development of any scientific discipline, scientists today use the word ontology to refer to efforts to organize knowledge in particular domains. A useful working definition of a scientific ontology is an explicit, formal specification of a shared conceptualization-a systematic set of shared terms and an explication of their interrelationships. Nine interdependent questions are outlined to help guide the development of an initial, broad, and actionable scientific ontology for SHE. RESULTS: Whether and how we respond to these questions arguably will determine the future of SHE research, policy, practice, and equity in the United States. CONCLUSIONS: An initial ontology might help conceptualize, inform, and facilitate more systematic and strategic local, state, national, and international deliberations and actions to improve SHE.

Asunto(s)

RESUMEN

BACKGROUND: The whole school, whole community, whole child (WSCC) model suggests wellness councils, ongoing review of wellness policy, and a plan for evaluating set objectives are some of the key features needed to support school wellness infrastructure. This study explored the relationship between implementation of these infrastructure features and overall school wellness environment assessment scores among a sampling of Pennsylvania schools. METHODS: The Healthy Champions program provides Pennsylvania schools an opportunity to self-assess their wellness environments across several school wellness topics. Staff enrolled their school in the program by completing a self-report electronic assessment. Enrollment data from the 2020/2021 program year were analyzed using the Kruskal-Wallis test and linear fixed model to identify the impact of varied implementation levels across 3 wellness infrastructure activities. Interactions between these variables and overall assessment score were also analyzed. RESULTS: Of the 645 Pennsylvania schools enrolled and analyzed, we observed higher mean wellness environment assessment scores (∆ 0.74 95% CI 0.40-1.07; p < 0.001) among schools that reported some frequency of all 3 wellness infrastructure activities, compared to schools that reported no frequency for the activities. IMPLICATIONS: Schools with existing policies and practices related to the 3 wellness infrastructure activities should consider the degree of implementation to best support overall wellness in their school setting. Additional research to explore implementation barriers and supports is needed. CONCLUSIONS: Analyses indicated that overall wellness environment assessment scores are impacted by implementation thresholds for wellness council meeting frequency, revision of wellness policy, and review of student health promotion objectives.

Asunto(s)

RESUMEN

BACKGROUND: Recent case studies indicate that the 2014-2016 Ebola outbreak, one of the worst pre-2020 global biological catastrophes in modern history, helped some nations to better prepared their responses for the COVID-19 pandemic. While such national case studies explore how specific nations applied EVD-related policies in their domestic battle against the COVID-19 pandemic, there is no known study that assesses how many WHO nations learned from the West African crisis and to what scale. OBJECTIVE: Applying the policy legacies analytical framework and a systematized literature review, this research examines how prior policy experiences with the 2014-16 EVD crisis as a large-scale emergent outbreak helped to inform and to condition WHO nations to proactively prepare their national policies and health systems for future threats, including ultimately COVID-19. METHODS: A systematized literature review of 803 evaluated sources assesses to what extent Ebola-affected and non-affected nations directly modified governmental health systems in relation to this warning. The study further evaluates how nations with documented Ebola-related changes fared during COVID-19 compared to nations that did not. We present a categorical theoretical framework that allows for classifying different types of national response activities (termed conditioned learning). RESULTS: Ten (90.9%) of 11 nations that were affected by 2014-16 Ebola crisis have documented evidence of repurposing their EVD-related policies to fight COVID-19. 164 (70.0%) of 234 non-EVD-affected nations had documented evidence of specifically adapting national systems to incorporate policy recommendations developed from the 2014-16 crisis, which informed their COVID-19 responses in 2020. CONCLUSIONS: The shock of 2014-16 EVD outbreak affected most nations around the world, whether they experienced Ebola cases. We further develop a categorical framework that helps characterised nations previous experiences with this biological catastrophe, providing a means to analyse to what extent that individual nations learned and how these EVD-related changes helped inform their COVID-19 response. Nations that demonstrated EVD-related conditioned learning nations tended to have more stringent COVID-19 responses before April 2020 and utilized documented response mechanisms developed out of the West African crisis.

Asunto(s)

RESUMEN

Supporting transitions to sustainable, resilient agri-food systems is important to ensure stable food supply in the face of growing climate extremes. Agroecology, or diversified farming systems based on ecological principles, can contribute to such systems. Based on a qualitative case study of Nicaragua, a forerunner in agroecology, this paper unpacks an ongoing transition to agroecology, focusing on how the transition has been shaped by knowledge flows and intermediary actors. Using a niche development framework based on knowledge processes, we analyze the growth of the agroecological niche in Nicaragua over three phases of niche development. The findings show how knowledge processes' emphases have shifted over time, as have functions enacted by intermediaries. Dedicated, diversified intermediaries have been key in creating momentum for agroecology, as have individual actors moving between niche and regime. Agency in niche development has come from both niche and regime actors. Finally, we find that Nicaragua's transition to agroecology has been ambiguous: While the niche has succeeded in changing the mainstream selection environment to its favor in some arenas, transition dynamics lag in others. Drawing lessons from this ambiguity, we suggest entry points for broader systems change, such as market stimulation, value chain development, phase-out policies, and supportive policy in related arenas. We also point out possible actions for niche actors such as integration of financial and commercial actors into niches and creation of dedicated market-focused intermediaries. Our results provide evidence of an ongoing transition and action points for supporting niche development in (sustainable agri-food) transitions around the globe.

Asunto(s)

RESUMEN

Objective: To retrospectively analyze literature reports and summarize the clinical characteristics of liver failure in patients accompanied with adult hemophagocytic syndrome (HPS). Methods: The Wanfang, CNKI, VIP, PubMed, and Ovid databases were searched for relevant literature on liver failure patients accompanied with adult HPS published from January 1980 to May 2022. The final included literature was systematically reviewed after screening. Results: There were a total of 77 liver failure cases accompanied with adult HPS, with an average age of (41.8 ± 12.5) years. The most common clinical manifestations of these cases were persistent high fever, fatigue, gastrointestinal symptoms, and severe jaundice. The imaging changes were not specific, and the most common was hepatosplenomegaly. Laboratory examination showed a significant increase in serum total bilirubin, lactate dehydrogenase, triglycerides, and soluble interleukin-2 receptor levels, as well as serum ferritin, while there was a decrease in prothrombin activity, natural killer cell activity, and hemocytopenia of two or more lineages in peripheral blood. Myelogram examination showed hemophagocytosis. Adult HPS secondary to infection was more likely to be accompanied with liver failure (55.8%), with an overall case fatality rate of 84.4%. Conclusion: Patients with liver failure accompanied with adult HPS have an extremely high mortality rate and a poor prognosis. Early diagnosis and treatment are the keys to improving the prognosis.

Asunto(s)