Species-specific eDNA assay development for enhanced box jellyfish risk management in coastal environments.

Human interaction with marine creatures holds both positive and negative dimensions. Coastal communities benefit from marine environments, relying on them for sustenance and livelihoods. Fishing activities support economies, and marine biodiversity contributes to overall ecosystem health. However, challenges like overfishing, habitat destruction, and pollution pose threats to both marine life and human communities. Recently, there has been widespread concern regarding the potential increase in jellyfish populations across global marine ecosystems, attributed mainly to environmental factors such as climate drivers and anthropogenic forces, or their complex interactions. Encounters with hazardous marine species, such as box jellyfish, exemplify the dangers associated with coastal activities. Unintended interactions may lead to stings, injuries, and even fatalities, necessitating proactive measures and advanced technologies. This study addresses the inadequacies of existing measures in preventing box jellyfish incidents by introducing environmental DNA (eDNA) assays for detecting the deadly Chiropsoides buitendijki and focuses on developing qPCR and dPCR-based eDNA assays. Emphasising prevention over treatment, the study establishes a proactive system to assess C. buitendijki distribution across 63 tourist beaches in the Gulf of Thailand. Comparative analysis highlights the superior performance of dPCR over qPCR and traditional surveys. The dPCR experiment yielded positive results for all eDNA samples collected at sites where C. buitendijki had previously been identified. Remarkably, the eDNA testing also detected positive results in 16 additional sample locations where no physical specimens were collected, despite reported jellyfish stings at some of these sites. These findings underscore the precision and efficacy of the proposed eDNA detection technology in the early detection and assessment of box jellyfish distribution. This advancement therefore not only aids ecological research but also serves as a valuable tool for safeguarding public health, providing an early warning system for potential jellyfish encounters. Balancing positive human-marine interactions with effective risk mitigation strategies is crucial for sustainable coexistence, the preservation of marine ecosystems, and human well-being.

Healthcare Risk Management and Monitoring of patient falls in Italian National Service. The experience of a Local Health Authority.

Falls are a widespread concern in hospitals settings. In Italy, falls are the fourth frequent damage claim type after surgical, diagnostic and therapeutic error and 90% of falls are avoidable. The first necessary action for the prevention of falls consists in identifying the possible risk factors, in relation to the characteristics of the patient and those of the environment and the structure that hosts him, in terms of safety, organization and adequacy of the process welfare. In this work we wanted to evaluate the extent, frequency and characteristics of the phenomenon of falls in the population hospitalized at the Local Health Authority called "Roma 2", with the aim of analyzing the critical issues to allow the identification of possible preventive and improvement interventions as well as reducing the risk of falls.

High-frequency enhanced VaR: A robust univariate realized volatility model for diverse portfolios and market conditions.

In the field of financial risk management, the accuracy of portfolio Value-at-Risk (VaR) forecasts is of critical importance to both practitioners and academics. This study pioneers a comprehensive evaluation of a univariate model that leverages high-frequency intraday data to improve portfolio VaR forecasts, providing a novel contrast to both univariate and multivariate models based on daily data. Existing research has used such high-frequency-based univariate models for index portfolios, it has not adequately studied their robustness for portfolios with diverse risk profiles, particularly under changing market conditions, such as during crises. Our research fills this gap by proposing a refined univariate long-memory realized volatility model that incorporates realized variance and covariance metrics, eliminating the necessity for a parametric covariance matrix. This model captures the long-run dependencies inherent in the volatility process and provides a flexible alternative that can be paired with appropriate return innovation distributions for VaR estimation. Empirical analyses show that our methodology significantly outperforms traditional univariate and multivariate Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) models in terms of forecasting accuracy while maintaining computational simplicity and ease of implementation. In particular, the inclusion of high-frequency data in univariate volatility models not only improves forecasting accuracy but also streamlines the complexity of portfolio risk assessment. This research extends the discourse between academic research and financial practice, highlighting the transformative impact of high-frequency data on risk management strategies within the financial sector.

What is the effectiveness of reporting systems in promoting learning in healthcare?

Patient safety in healthcare remains a top priority. Learning from safety events is vital to move towards safer systems. As a result, reporting systems are recognised as the cornerstone of safety, especially in high-risk industries. However, in healthcare, the benefits of reporting systems in promoting learning remain contentious. Though the strengths of these systems, such as promoting a safety culture and providing information from near misses are noted, there are problems that mean learning is missed. Understanding the factors that both enable and act as barriers to learning from reporting is also important to consider. This review, considers the effectiveness of reporting systems in contributing to learning in healthcare.

Enhancing patient safety: detection of in-hospital hazards and effect of training on detection (by training in a low-fidelity simulation Room of Improvement based on hospital-specific CIRS cases).

IMPORTANCE: Adequate situational awareness in patient care increases patient safety and quality of care. To improve situational awareness, an innovative, low-fidelity simulation method referred to as Room of Improvement, has proven effective in various clinical settings. OBJECTIVE: To investigate the impact after 3 months of Room of Improvement training on the ability to detect patient safety hazards during an intensive care unit shift handover, based on critical incident reporting system (CIRS) cases reported in the same hospital. METHODS: In this educational intervention, 130 healthcare professionals observed safety hazards in a Room of Improvement in a 2 (time 1 vs time 2)×2 (alone vs in a team) factorial design. The hazards were divided into immediately critical and non-critical. RESULTS: The results of 130 participants were included in the analysis. At time 1, no statistically significant differences were found between individuals and teams, either overall or for non-critical errors. At time 2, there was an increase in the detection rate of all implemented errors for teams compared with time 1, but not for individuals. The detection rate for critical errors was higher than for non-critical errors at both time points, with individual and group results at time 2 not significantly different from those at time 1. An increase in the perception of safety culture was found in the pre-post test for the questions whether the handling of errors is open and professional and whether errors are discussed in the team. DISCUSSION: Our results indicate a sustained learning effect after 12 weeks, with collaboration in teams leading to a significantly better outcome. The training improved the actual error detection rates, and participants reported improved handling and discussion of errors in their daily work. This indicates a subjectively improved safety culture among healthcare workers as a result of the situational awareness training in the Room of Improvement. As this method promotes a culture of safety, it is a promising tool for a well-functioning CIRS that closes the loop.

A method for managing scientific research project resource conflicts and predicting risks using BP neural networks.

This study begins by considering the resource-sharing characteristics of scientific research projects to address the issues of resource misalignment and conflict in scientific research project management. It comprehensively evaluates the tangible and intangible resources required during project execution and establishes a resource conflict risk index system. Subsequently, a resource conflict risk management model for scientific research projects is developed using Back Propagation (BP) neural networks. This model incorporates the Dropout regularization technique to enhance the generalization capacity of the BP neural network. Leveraging the BP neural network's non-linear fitting capabilities, it captures the intricate relationship between project resource demand and supply. Additionally, the model employs self-learning to continuously adapt to new scenarios based on historical data, enabling more precise resource conflict risk assessments. Finally, the model's performance is analyzed. The results reveal that risks in scientific research project management primarily fall into six categories: material, equipment, personnel, financial, time, and organizational factors. This study's model algorithm exhibits the highest accuracy in predicting time-related risks, achieving 97.21%, surpassing convolutional neural network algorithms. Furthermore, the Root Mean Squared Error of the model algorithm remains stable at approximately 0.03, regardless of the number of hidden layer neurons, demonstrating excellent fitting capabilities. The developed BP neural network risk prediction framework in this study, while not directly influencing resource utilization efficiency or mitigating resource conflicts, aims to offer robust data support for research project managers when making decisions on resource allocation. The framework provides valuable insights through sensitivity analysis of organizational risks and other factors, with their relative importance reaching up to 20%. Further research should focus on defining specific strategies for various risk factors to effectively enhance resource utilization efficiency and manage resource conflicts.

Development of a scoring system to quantify errors from semantic characteristics in incident reports.

OBJECTIVES: Incident reporting systems are widely used to identify risks and enable organisational learning. Free-text descriptions contain important information about factors associated with incidents. This study aimed to develop error scores by extracting information about the presence of error factors in incidents using an original decision-making model that partly relies on natural language processing techniques. METHODS: We retrospectively analysed free-text data from reports of incidents between January 2012 and December 2022 from Nagoya University Hospital, Japan. The sample data were randomly allocated to equal-sized training and validation datasets. We conducted morphological analysis on free text to segment terms from sentences in the training dataset. We calculated error scores for terms, individual reports and reports from staff groups according to report volume size and compared these with conventional classifications by patient safety experts. We also calculated accuracy, recall, precision and F-score values from the proposed 'report error score'. RESULTS: Overall, 114 013 reports were included. We calculated 36 131 'term error scores' from the 57 006 reports in the training dataset. There was a significant difference in error scores between reports of incidents categorised by experts as arising from errors (p<0.001, d=0.73 (large)) and other incidents. The accuracy, recall, precision and F-score values were 0.8, 0.82, 0.85 and 0.84, respectively. Group error scores were positively associated with expert ratings (correlation coefficient, 0.66; 95% CI 0.54 to 0.75, p<0.001) for all departments. CONCLUSION: Our error scoring system could provide insights to improve patient safety using aggregated incident report data.

Reframing Fall Prevention and Risk Management as a Chronic Condition Through the Lens of the Expanded Chronic Care Model: Will Integrating Clinical Care and Public Health Improve Outcomes?

Falls are a leading cause of morbidity and mortality among adults aged 65 years and older (older adults) and are increasingly recognized as a chronic condition. Yet, fall-related care is infrequently provided in a chronic care context despite fall-related death rates increasing by 41% between 2012 and 2021. One of the many challenges to addressing falls is the absence of fall-focused chronic disease management programs, which improve outcomes of other chronic conditions, like diabetes. Policies, information systems, and clinical-community connections help form the backbone of chronic disease management programs, yet these elements are often missing in fall prevention. Reframing fall prevention through the Expanded Chronic Care Model (ECCM) guided by implementation science to simultaneously support the uptake of evidence-based practices could help improve the care of older adults at risk for falling. The ECCM includes seven components: (1) self-management/develop personal skills, (2) decision support, (3) delivery system design/re-orient health services, (4) information systems, (5) build healthy public policy, (6) create supportive environments, and (7) strengthen community action. Applying the ECCM to falls-related care by integrating health care delivery system changes, community resources, and public policies to support patient-centered engagement for self-management offers the potential to prevent falls more effectively among older adults.

Meta-analysis of the quantitative effectiveness of risk management measures (RMM) in the workplace.

BACKGROUND AND OBJECTIVES: This paper describes an evaluation and analysis of an updated version of ECEL v3.0-an integrated risk management measure (RMM) library developed as part of a CEFIC LRI initiative. The occupational module contains extensive data on the quantitative effectiveness of RMMs to control inhalation and dermal exposure in the workplace. The objective was to investigate the effectiveness and variability in effectiveness of RMM and to explore the difference between optimal and non-optimal RMM applications in the workplace. METHODS: A new database structure and interface were developed and the content of the database was updated with a systematic literature review and integration with other databases (totalling 3373 records from 548 studies). To analyse the data, Bayesian linear mixed models were constructed with the study as a random effect and various study characteristics and RMM categories as fixed effects individually in separate models. A multivariate mixed model was used on a stratified dataset to test (amongst others) the conditions of RMM use. RESULTS: Analyses of the data indicated effectiveness values for each RMM category (for example ~87% for technical emission controls compared with ~60% for technical dispersion controls). Substantial variability in effectiveness was observed within and between different types of RMM. Seven study characteristics (covariables) were included in the analyses, which indicated a pronounced difference in as-built (optimal/experimental) and as-used (workplace) conditions of RMM use (93.3% and 74.6%, respectively). CONCLUSIONS: This library provides a reliable evidence base to derive base estimates of RMM effectiveness-beneficial for both registrant and downstream users. It stresses the importance of optimal use of RMMs in the workplace (technical design/functioning, use, and maintenance). Various challenges are foreseen to further update ECEL to improve guidance, for deriving improved estimates and ensure user-friendliness of the library.

Safety incident reporting and barriers (SIRaB) study: Strategies and approaches for investigating patient safety events in a hospital set-up.

BACKGROUND: Unsafe patient events not only entail a clinical impact but also lead to economic burden in terms of prolonged hospitalization or unintended harm and delay in care delivery. Monitoring and time-bound investigation of patient safety events (PSEs) is of paramount importance in a healthcare set-up. OBJECTIVES: To explore the safety incident reporting behaviour and the barriers in a hospital set-up. METHODS: The study had two sections: (a) Retrospective assessment of all safety incidents in the past 1 year, and (b) Understanding the barriers of safety reporting by interviewing the major stakeholders in patient safety reporting framework. Further root cause analysis and failure mode effect analysis were performed for the situation observed. Results were statistically analyzed. RESULTS: Of the total of 106 PSEs reported voluntarily to the system, the highest reporting functional group was that of nurses (40.57%), followed by physicians (18.87%) and pharmacists (17.92%). Among the various factors identified as barriers in safety incident reporting, fear of litigation was the most observed component. The most commonly observed event was those pertaining to medication management, followed by diagnostic delay. Glitches in healthcare delivery accounted for 8.73% of the total reported PSEs, followed by 5.72% of events occurring due to inter-stakeholder communication errors. 4.22% of the PSEs were attributed to organizational managerial dysfunctionalities. Majority of medication-related PSE has moderate risk prioritization gradation. CONCLUSION: Effective training and sensitization regarding the need to report the patient unsafe incidents or near misses to the healthcare system can help avert many untoward experiences. The notion of 'No Blame No Shame' should be well inculcated within the minds of each hospital unit such that even if an error occurs, its prompt reporting does not get harmed.

Enhanced Free-Text Search for Aggregated Medication Error Report Analysis and Risk Detection.

OBJECTIVES: Detecting medication errors (MEs) and learning from them are the key elements of medication safety management in health care. While the aggregation of the data and learning across the ME reports could help detect and manage organizational risks, the inconsistent and partly missing structural data complicate the analysis. The objective of this study was to examine whether an analysis of free-text data of aggregated ME reports could contribute to the detection of organizational risks. METHODS: A retrospective, cross-sectional analysis of ME reports from a patient safety incident reporting system in a tertiary hospital 2017-2021. Clustering of characteristics and variables of ME reports with an enhanced free-text search of the 10 most frequent active substances (TOP10) related to ME reports using Microsoft Excel. Validity analysis of the four most frequent active substances of the search results (TOP4). Evaluation of the possible impact of the enhanced free-text search method on ME report analysis and risk detection. RESULTS: The enhanced free-text search increased significantly the number of relevant ME reports of TOP10 active substances from 698 reports to 1578 reports. The validity of the enhanced free-text search results in TOP4 active substances was more than 74%. The enhanced free-text search revealed also new ME findings. CONCLUSIONS: Enhanced free-text search can contribute to the aggregate analysis of clustered ME reports and to the improvement of ME risk detection. The enhanced free-text search method enables more comprehensive analysis of the free-text data with commonly available software and provides new insights into medication safety improvement.

Racial disparities in breast cancer risk factors and risk management.

Racial disparities in breast cancer outcomes are well described across the spectrum of screening, diagnosis, treatment, and survivorship. Breast cancer mortality is markedly elevated for Non-Hispanic Black women compared with other racial and ethnic groups, with multifactorial causes. Here, we aim to reduce this burden by identifying disparities in breast cancer risk factors, risk assessment, and risk management before breast cancer is diagnosed. We describe a reproductive profile and modifiable risk factors specific to the development of triple-negative breast cancer. We also propose that screening strategies should be both risk- and race-based, given the prevalence of early-onset triple-negative breast cancer in young Black women. We emphasize the importance of early risk assessment and identification of patients at hereditary and familial risk and discuss indications for a high-risk referral. We discuss the subtleties following genetic testing and highlight "uncertain" genetic testing results and risk estimation challenges in women who test negative. We trace aspects of the obesity epidemic in the Black community to infant feeding patterns and emphasize healthy eating and activity. Finally, we discuss building an environment of trust to foster adherence to recommendations, follow-up care, and participation in clinical trials. Addressing relevant social determinants of health; educating patients and clinicians on factors impacting disparities in outcomes; and encouraging participation in targeted, culturally sensitive research are essential to best serve all communities.

Importance of Quality of Medical Record: Differences in Patient Safety Incident Inquiry Results According to Assessment for Quality of Medical Record.

BACKGROUND: Medical record review is the gold standard method of identifying adverse events. However, the quality of medical records is a critical factor that can affect the accuracy of adverse event detection. Few studies have examined the impact of medical record quality on the identification of adverse events. OBJECTIVES: In this study, we analyze whether there were differences in screening criteria and characteristics of adverse events according to the quality of medical records evaluated in the patient safety incident inquiry in Korea. METHODS: Patient safety incident inquiry was conducted in 2019 on 7500 patients in Korea to evaluate their screening criteria, adverse events, and preventability. Furthermore, medical records quality judged by reviewers was evaluated on a 4-point scale. The χ 2 test was used to examine differences in patient safety incident inquiry results according to medical record quality. RESULTS: Cases with inadequate medical records had higher rates of identified screening criteria than those with adequate records (88.8% versus 55.7%). Medical records judged inadequate had a higher rate of confirmed adverse events than those judged adequate. "Drugs, fluids, and blood-related events," "diagnosis-related events," and "patient care-related events" were more frequently identified in cases with inadequate medical records. There was no statistically significant difference in the preventability of adverse events according to the medical record quality. CONCLUSIONS: Lower medical record quality was associated with higher rates of identified screening criteria and confirmed adverse events. Patient safety incident inquiry should specify medical record quality evaluation questions more accurately to more clearly estimate the impact of medical record quality.

Understanding Risk Factors for Complaints Against Pharmacists: A Content Analysis.

OBJECTIVES: Pharmacists constitute a crucial component of the healthcare system, significantly influencing the provision of medication services and ensuring patient safety. This study aims to understand the characteristics and risk factors for complaints against pharmacists through Health and Disability Commissioner (HDC) published decisions. METHODS: This study adopts a retrospective, qualitative approach. An inductive content analysis technique was used to analyze 37 complaints against pharmacists published decisions from the New Zealand Health and Disability Commissioner website to investigate a range of underlying risk factors contributing to the occurrence of complaints against pharmacists. RESULTS: A set of 20 categories of risk factors emerged through the content analysis and were subsequently grouped into five overarching themes: pharmacist individual factors, organizational factors, system factors, medication-specific factors, and external environmental factors. CONCLUSIONS: The findings of this study provide valuable insights that expand the understanding of risk management in pharmacist practice, serving as a valuable resource for regulatory bodies, policymakers, educators, and practitioners. It is recommended not only to focus solely on individual pharmacists but also to consider integrating their environment and individual behaviors to proactively address situations prone to errors and subsequent complaints.

Evolution of Intravenous Medication Errors and Preventive Systemic Defenses in Hospital Settings-A Narrative Review of Recent Evidence.

OBJECTIVES: Intravenous drug administration has been associated with severe medication errors in hospitals. The present narrative review is based on a systematic literature search, and aimed to describe the recent evolution in research on systemic causes and defenses in intravenous medication errors in hospitals. METHODS: This narrative review was based on Reason's theory of systems-based risk management. A systematic literature search covering the period from June 2016 to October 2021 was conducted on Medline (Ovid). We used the search strategy and selection criteria developed for our previous systematic reviews. The included articles were analyzed and compared to our previous reviews. RESULTS: The updated search found 435 articles. Of the 63 included articles, 16 focused on systemic causes of intravenous medication errors, and 47 on systemic defenses. A high proportion (n = 24, 38%) of the studies were conducted in the United States or Canada. Most of the studies focused on drug administration (n = 21/63, 33%) and preparation (n = 19/63, 30%). Compared to our previous review of error causes, more studies (n = 5/16, 31%) utilized research designs with a prospective risk management approach. Within articles related to systemic defenses, smart infusion pumps remained most widely studied (n = 10/47, 21%), while those related to preparation technologies (n = 7/47, 15%) had increased. CONCLUSIONS: This narrative review demonstrates a growing interest in systems-based risk management for intravenous drug therapy and in introducing new technology, particularly smart infusion pumps and preparation systems, as systemic defenses. When introducing new technologies, prospective assessment and continuous monitoring of emerging safety risks should be conducted.

[17 years of the critical incident reporting and learning system "jeder-fehler-zaehlt.de" for primary care: Analysis of reports]. / 17 Jahre hausärztliches Fehlerberichts- und Lernsystem "jeder-fehler-zaehlt.de" ­ Analyse des Berichtsbestandes.

BACKGROUND: The topic of patient safety has been a subject of much discussion since the end of the last millennium. Ensuring patient safety is a central challenge in health care. An important tool to raise awareness for and learn from adverse events and thus promote patient safety are error-reporting and learning systems (Critical Incident Reporting System = CIRS). METHODS: More than 17 years after its establishment, the CIRS "jeder-fehler-zaehlt.de" (JFZ) for German primary care has undergone a revision in terms of content and technology. The revised web-based system can be used for reporting as well as for classifying and analyzing incident reports. During this process, a descriptive analysis of the current report inventory was carried out, with a focus on serious medication errors. This included all 781 valid incident reports received between September 2004 and December 2021. RESULTS: In 576 of the 781 reports (73.8%), the GP practice was directly involved in the critical incident. Among error types, process errors predominated (79.8% of the classifications, 99.1% of the reports) compared with knowledge and skills errors (20.2% of the classifications, 39.7% of the reports). Communication errors (63.0%) were the most common contributing factor to critical incidents, followed by flaws in tasks and measures (39.7%). Serious and permanent patient harm was rarely reported (8.3% of the reports), whereas temporary patient harm was more common (40.3% of the reports). Incident reports about medication errors with at least serious patient harm included, in particular, substances that affected blood clotting, corticosteroids, and opiates. DISCUSSION: Our results complement the rates that are reported internationally for error types, patient harm, and contributing factors. Serious but preventable adverse events, so-called never events, are frequently associated with the medication process in both JFZ reports and the literature. CONCLUSION: Critical incident reporting systems cannot provide accurate information about the frequency of errors in health care, but they can offer important insights into, for example, serious medication errors. Therefore, they offer both employees and healthcare institutions an opportunity for individual and institutional learning.

Moderate and severe adverse events in pediatrics: characteristics of incidents reported during the COVID-19 pandemic.

OBJECTIVE: To verify the characteristics of safety incident reports resulting in moderate and severe harm to pediatric patients in two hospitals during the COVID-19 pandemic. METHOD: Cross-sectional study conducted in two hospitals in southern Brazil. The sample consisted of 137 notifications from March 2020 to August 2021. The data were collected through the electronic records of the institutions' notification systems and analyzed using descriptive and inferential statistics. RESULTS: The most prevalent incidents were related to clinical processes or procedures (41.6%), affecting slightly more females (49.6%) and infants (39.4%). The majority of incidents (48.2%) occurred in inpatient units. The event sector (p=0.001) and the shift (p=0.011) showed statistically significant associations in both hospitals. CONCLUSION: The characteristics of the notifications are similar between the institutions surveyed, with a low number of moderate and severe incidents.

Implementation of a comprehensive clinical risk management system in a university hospital.

BACKGROUND: Adverse events during hospital treatment are common and can lead to serious harm. This study reports the implementation of a comprehensive clinical risk management system in a university hospital and assesses the impact of clinical risk management on patient harms. METHODS: The clinical risk management system was rolled out over a period of eight years and consisted of a training of interdisciplinary risk management teams, external and internal risk audits, and the implementation of a critical incident reporting system (CIRS). The risks identified during the audits were analyzed according to the type, severity, and implementation of preventive measures. Other key figures of the risk management system were obtained from the annual risk reports. The number of liability cases was used as primary outcome measurement. RESULTS: Of the 1,104 risks identified during the risk audits, 56.2% were related to organization, 21.3% to documentation, 15.3% to treatment, and 7.2% to patient information and consent. The highest proportion of serious risks was found in the category organization (22.7%), the lowest in the category documentation (13.6%). Critical incident reporting identified between 241 and 370 critical incidents per year, for which in 79.5% to 83% preventive measures were implemented within twelve months. The frequency of incident reports per department correlated with the number of active risk managers and risk team meetings. Compared with the years prior to the introduction of the clinical risk management system, an average annual reduction of harms by 60.1% (95% CI: 57.1; 63.1) was observed two years after the implementation was completed. On average, the rate of harms dropped by 5% per year for each 10% increase in roll-out of the clinical risk management system (incidence rate ratio: 0.95; 95% CI: 0.93; 0.97) . CONCLUSION: The results of this project demonstrate the effectiveness of clinical risk management in detecting treatment-related risks and in reducing harm to patients.