Realist synthesis of a rapid response system in managing mental state deterioration in acute hospital settings.

Mental state deterioration in patients poses significant challenges in healthcare, potentially resulting in adverse outcomes for patients and continued reliance on restrictive interventions. Implementing evidence-based approaches such as a rapid response system that prioritises early identification and intervention can effectively manage adverse outcomes. However, little is known regarding the effectiveness of these interventions. The objective of this synthesis was to test and refine initial programme theories by synthesising evidence to understand what works, for whom and under what circumstances. Based on the realist synthesis methodology, we searched EMBASE, CINAHL, MEDLINE, the Cochrane Library and grey literature for evidence to inform contexts, mechanisms and outcomes on the functioning of a rapid response model. We identified 28 relevant sources encompassing peer-reviewed journal articles and grey literature. This synthesis identified three important elements that contribute to the effectiveness of a rapid response system for managing mental state deterioration: care processes, therapeutic practices and organisational support. Essential elements include improving confidence and clinical skills through training, timely assessment and intervention, teamwork, communication and the creation of governance structures for monitoring and evaluation. To ensure the effectiveness, an organisation must adopt a comprehensive approach that incorporates organisational support, resource allocation, training, clear communication channels and commitment to continuous quality improvement. However, implementing interventions within a complex healthcare system requires thoughtful consideration of the organisational culture and governance structures. By taking a comprehensive and holistic approach to improvement initiatives, organisations can strive to achieve optimal outcomes in managing mental state deterioration and improving patient care.

A scoping review to evaluate occupational controls and their effectiveness when handling engineered nanomaterials in workplaces.

Research has shown that controlling worker exposure to engineered nanomaterials (ENMs) helps to reduce the exposure risk to employees in workplaces. This study aimed to identify the available evidence on the effectiveness of various control methods used in the workplace to reduce worker exposure to ENMs. The search was conducted in databases-Medline, OVID, Scopus, Science Direct, Web of Science, and Cochrane and the gray literature published from January 2010 to December 2022. The search keywords included ENM controls and their efficiency in workplace environments. Of the 152 studies retrieved, 22 were included in the review. The control measures in the review included (1) substitution controls; (2) engineering measures (i.e., isolation, direct source extraction, and wetting technologies); (3) personal protective equipment; and (4) administrative and work practices. The study results indicate that the above-mentioned control measures were effective in reducing ENM exposures. This information can be used to help employers choose the most effective controls for their workplaces.

Integrating Disaster and Dignitary Medicine Principles into a Medical Framework for Organizational Travel Health and Security Planning.

This Editorial explores organizational travel risk management and advocates for a comprehensive approach to fortify health security for travelers, emphasizing proactive risk management, robust assessments, and strategic planning. Leveraging insights from very important persons (VIP) protocols, organizations can enhance duty of care and ensure personnel safety amidst global travel complexities.

The World Federation of Chiropractic Global Patient Safety Task Force: a call to action.

BACKGROUND: The Global Patient Safety Action Plan, an initiative of the World Health Organization (WHO), draws attention to patient safety as being an issue of utmost importance in healthcare. In response, the World Federation of Chiropractic (WFC) has established a Global Patient Safety Task Force to advance a patient safety culture across all facets of the chiropractic profession. This commentary aims to introduce principles and call upon the chiropractic profession to actively engage with the Global Patient Safety Action Plan beginning immediately and over the coming decade. MAIN TEXT: This commentary addresses why the chiropractic profession should pay attention to the WHO Global Patient Safety Action Plan, and what actions the chiropractic profession should take to advance these objectives. Each strategic objective identified by WHO serves as a focal point for reflection and action. Objective 1 emphasizes the need to view each clinical interaction as a chance to improve patient safety through learning. Objective 2 urges the implementation of frameworks that dismantle systemic obstacles, minimizing human errors and strengthening patient safety procedures. Objective 3 supports the optimization of clinical process safety. Objective 4 recognizes the need for patient and family engagement. Objective 5 describes the need for integrated patient safety competencies in training programs. Objective 6 explains the need for foundational data infrastructure, ecosystem, and culture. Objective 7 emphasizes that patient safety is optimized when healthcare professionals cultivate synergy and partnerships. CONCLUSIONS: The WFC Global Patient Safety Task Force provides a structured framework for aligning essential considerations for patient safety in chiropractic care with WHO strategic objectives. Embracing the prescribed action steps offers a roadmap for the chiropractic profession to nurture an inclusive and dedicated culture, placing patient safety at its core. This commentary advocates for a concerted effort within the chiropractic community to commit to and implement these principles for the collective advancement of patient safety.

Assessing the impact of authorisation process as a regulatory tool in the European REACH regulation: A study on improving occupational safety for applying companies.

This study looks into the effectiveness of the authorisation procedure as a regulatory instrument within the framework of the European REACH regulation. It highlights its impact on enhancing occupational safety and health for both applicants and companies utilising the substances. This procedure encompasses manufacturers, importers, and downstream users of substances, as well as representatives of foreign manufacturers who are also eligible to seek authorisation. When applying for authorisation, the ECHA Risk Assessment Committee (RAC) assesses the risks associated with the intended uses of the substance, including the appropriateness and effectiveness of the Occupational Conditions (OCs) and Risk Management Measures (RMMs) described in the application and the risks posed by potential alternatives. If the RAC determines that the OCs/RMMs are inadequate for managing or controlling the risk, or if the measures to protect workers are deemed insufficient, it may recommend additional measures to enhance occupational safety and health or environmental protection. The 398 processed Applications for Authorisation (AfA) that have been submitted to date were examined to determine these recommended measures, categorised as Conditions for use, Monitoring arrangements, and Recommendations for Review Reports. Overall, a significant improvement concerning occupational safety and health seems necessary, as indicated by the large number of measures recommended by the ECHA Committee for Risk Assessment (RAC) and ECHA Committee for Socio-economic Analysis (SEAC) or supplemented by the European Commission. In addition to the proposed measures, a short assessment provided by the committees as to whether the operational conditions and risk management measures are adequate in controlling the risks is also included in the study.

Biomathematical modeling of fatigue due to sleep inertia.

Biomathematical models of fatigue capture the physiology of sleep/wake regulation and circadian rhythmicity to predict changes in neurobehavioral functioning over time. We used a biomathematical model of fatigue linked to the adenosinergic neuromodulator/receptor system in the brain as a framework to predict sleep inertia, that is, the transient neurobehavioral impairment experienced immediately after awakening. Based on evidence of an adenosinergic basis for sleep inertia, we expanded the biomathematical model with novel differential equations to predict the propensity for sleep inertia during sleep and its manifestation after awakening. Using datasets from large laboratory studies of sleep loss and circadian misalignment, we calibrated the model by fitting just two new parameters and then validated the model's predictions against independent data. The expanded model was found to predict the magnitude and time course of sleep inertia with generally high accuracy. Analysis of the model's dynamics revealed a bifurcation in the predicted manifestation of sleep inertia in sustained sleep restriction paradigms, which reflects the observed escalation of the magnitude of sleep inertia in scenarios with sleep restriction to less than ∼ 4 h per day. Another emergent property of the model involves a rapid increase in the predicted propensity for sleep inertia in the early part of sleep followed by a gradual decline in the later part of the sleep period, which matches what would be expected based on the adenosinergic regulation of non-rapid eye movement (NREM) sleep and its known influence on sleep inertia. These dynamic behaviors provide confidence in the validity of our approach and underscore the predictive potential of the model. The expanded model provides a useful tool for predicting sleep inertia and managing impairment in 24/7 settings where people may need to perform critical tasks immediately after awakening, such as on-demand operations in safety and security, emergency response, and health care.

Cybersecurity policy framework requirements for the establishment of highly interoperable and interconnected health data spaces.

This paper examines cybersecurity policy framework requirements for establishing highly interoperable and interconnected health data spaces, with a focus on the European Health Data Space (EHDS) and its corresponding joint action Toward European Health Data Space (TEHDAS). It explores the challenges of ensuring data security within an increasingly digital and collaborative healthcare environment, emphasizing the need for robust policy management to protect sensitive health information across diverse healthcare systems and supply chains. Through an analysis of use cases and held expert workshops, the study identifies key requirements for enhancing cybersecurity measures, fostering cross-border data exchange, and ensuring compliance with regulatory standards. It illustrates the practical implications of cybersecurity policies in a real-world scenario, demonstrating how they can be applied to enhance data security and policy effectiveness.

Risk analysis of noise-induced hearing loss of workers in the automobile manufacturing industries based on back-propagation neural network model: a cross-sectional study in Han Chinese population.

OBJECTIVES: This study aims to predict the risk of noise-induced hearing loss (NIHL) through a back-propagation neural network (BPNN) model. It provides an early, simple and accurate prediction method for NIHL. DESIGN: Population based, a cross sectional study. SETTING: Han, China. PARTICIPANTS: This study selected 3266 Han male workers from three automobile manufacturing industries. PRIMARY OUTCOME MEASURES: Information including personal life habits, occupational health test information and occupational exposure history were collected and predictive factors of NIHL were screened from these workers. BPNN and logistic regression models were constructed using these predictors. RESULTS: The input variables of BPNN model were 20, 16 and 21 important factors screened by univariate, stepwise and lasso-logistic regression. When the BPNN model was applied to the test set, it was found to have a sensitivity (TPR) of 83.33%, a specificity (TNR) of 85.92%, an accuracy (ACC) of 85.51%, a positive predictive value (PPV) of 52.85%, a negative predictive value of 96.46% and area under the receiver operating curve (AUC) is: 0.926 (95% CI: 0.891 to 0.961), which demonstrated the better overall properties than univariate-logistic regression modelling (AUC: 0.715) (95% CI: 0.652 to 0.777). The BPNN model has better predictive performance against NIHL than the stepwise-logistic and lasso-logistic regression model in terms of TPR, TNR, ACC, PPV and NPV (p<0.05); the area under the receiver operating characteristics curve of NIHL is also higher than that of the stepwise and lasso-logistic regression model (p<0.05). It was a relatively important factor in NIHL to find cumulative noise exposure, auditory system symptoms, age, listening to music or watching video with headphones, exposure to high temperature and noise exposure time in the trained BPNN model. CONCLUSIONS: The BPNN model was a valuable tool in dealing with the occupational risk prediction problem of NIHL. It can be used to predict the risk of an individual NIHL.

A comprehensive STPA-PSO framework for quantifying smart glasses risks in manufacturing.

The integration of cutting-edge technologies, such as wearables, in complex systems is crucial for enhancing collaboration between humans and machines in the era of Industry 5.0. However, this increased interaction also introduces new challenges and risks, including the potential for human errors. A thorough analysis of the literature reveals an absence of studies that have quantified these risks, underscoring the utmost importance of this research. To address the above gap, the present study introduces the STPA-PSO methodology, which aims to quantify the risks associated with the use of smart glasses in complex systems, with a specific focus on human error risks. The proposed methodology leverages the Systems-Theoretic Process Analysis (STPA) approach to proactively identify hazards, while harnessing the power of the Particle Swarm Optimization (PSO) algorithm to accurately calculate and optimize risks, including those related to human errors. To validate the effectiveness of the methodology, a case study involving the assembly of a refrigerator was conducted, encompassing various critical aspects, such as the Industrial, Financial, and Occupational Health and Safety (OHS) aspects. The results provide evidence of the efficacy of the STPA-PSO approach in assessing, quantifying, and managing risks during the design stage. By proposing a robust and comprehensive risk quantification framework, this study makes a significant contribution to the advancement of system safety analysis in complex environments, providing invaluable insights for the seamless integration of wearables and ensuring safer interactions between humans and machines.

Gerenciamento do protocolo de prevenção de lesão por pressão: construção de painel de bordo informatizado / Management of the pressure injury prevention protocol: construction of a computerized dashboard / Gestión del protocolo de prevención de lesiones por presión: construcción de panel informatizado

Objetivo: Relatar a construção e implantação de painel de bordo, desenvolvido por enfermeiros e profissionais da tecnologia da informação, para gerenciamento do Protocolo de Prevenção de Lesão por Pressão. Métodos: Trata-se de um relato de experiência sobre a construção e implantação de painel de bordo informatizado para gerenciamento de protocolo em um hospital privado universitário, localizado no interior do estado de São Paulo. Resultados: A construção do painel de bordo foi dividida nas seguintes etapas: revisão e atualização do protocolo, construção do modelo eletrônico e implementação. A divulgação foi realizada pela Comissão de Prevenção de Lesão por Pressão. Conclusão: O painel de bordo possibilitou a visualização rápida e em tempo real dos riscos dos pacientes, intervenções propostas e efetividade das medidas de prevenção, além de promover a integração e empoderamento dos profissionais na gestão do cuidado. (AU)

Objective: To report the construction and implementation of a dashboard, developed by nurses and information technology professionals, to manage the Pressure Injury Prevention Protocol. Methods: This is an experience report on the construction and implementation of a computerized dashboard for protocol management in a private university hospital, located in the interior of the state of São Paulo. Results: The construction of the dashboard was divided into the following steps: review and update of the protocol, construction of the electronic model and implementation. The Pressure Injury Prevention Commission disclosed the tool. Conclusion: The dashboard enabled the quick and real-time visualization of patient risks, proposed interventions and effectiveness of prevention measures, in addition to promoting the integration and empowerment of professionals in the management of care. (AU)

Objetivo: Informar la construcción e implementación de un panel, desarrollado por enfermeras y profesionales de tecnologías de la información, para gestionar el Protocolo de Prevención de Lesiones por Presión. Métodos: Se trata de un informe de experiencia sobre la construcción e implementación de un panel computarizado para la gestión del protocolo en un hospital universitario privado, en el interior del estado de São Paulo. Resultados: La construcción del panel se dividió en los siguientes pasos: revisión y actualización del protocolo, construcción del modelo electrónico e implementación. La divulgación fue realizada por la Comisión de Prevención de Lesiones por Presión. Conclusión: El panel permitió la visualización rápida y en tiempo real de los riesgos del paciente, las intervenciones propuestas y la efectividad de las medidas de prevención, además de promover la integración y el empoderamiento de los profesionales en la gestión del cuidado. (AU)

Perceptions and self-management of a healthy diet among middle-aged adults with risk of stroke in North China: a qualitative exploration.

OBJECTIVE: Although stroke is prevalent among older people, there is a rising incidence among the younger subpopulations, particularly middle-aged adults. A healthy diet is one of the key modifiable factors to primary prevention of stroke among these subpopulations, yet there is limited understanding of the dietary habits among middle agers who have the risk factor(s) but no occurrence of stroke. This study aims to explore the views on perceptions and the self-management of middle-aged adults at risk of stroke on a healthy diet and to identify the enablers and barriers that could inform the future development of dietary interventions. DESIGN: This study used an interpretive descriptive qualitative design, employing semistructured purposive sampling for focus group discussions. Thematic analysis was conducted on the transcribed interviews and field notes, facilitated by NVivo 12.0 Plus software. SETTING: Community settings in Zhengzhou City, Henan Province. PARTICIPANTS: Middle-aged adults (aged 45-59) were identified as at risk of stroke due to the presence of one or more modifiable risk factors. RESULT: A total of seven focus group discussions were audio recorded. Four main themes emerged, which were: (1) cognitive understanding of a healthy diet; (2) dietary practices; (3) knowledge acquisition and (4) barriers to dietary adherence. CONCLUSIONS: The middle-aged adults at risk of stroke were generally aware of the risk and attempted to practise healthy eating. The existing educational programmes on following a healthy diet in the prevention of disease need to be made more comprehensible, accessible and equitable, especially for those from socioeconomically disadvantaged communities.

Cardiovascular Risk Management In Patients With Rheumatoid Arthritis: A Systematic Review.

Rheumatoid arthritis (RA) is an autoimmune chronic inflammatory joint disease associated with pain, swelling, and morning stiffness. It not only affects the joints but also exhibits many extra-articular manifestations. It is recognized as an independent risk factor for cardiovascular (CV) abnormalities. The possibility of cardiovascular disease (CVD) risk in patients with RA is about twofold higher compared to non-RA individuals. Therefore, early risk assessment and management of risk factors are crucial to reduce the CV morbidity and mortality associated with RA. This systematic literature review summarizes the data available on the management of CVD risk factors in RA. A total of 61 articles from the most reputable journals published between 2013 and 2023 were reviewed, of which seven papers were selected for in-depth analysis. We tried to eliminate bias using various bias-eliminating tools. This analysis considers the proposed solution for CV risk prevention and management in RA patients. Optimal control of disease activity and persistent monitoring of other factors responsible for increased CV events in RA patients is the ultimate management of CV abnormalities. This study summarizes the recommendations for the management of CV risk factors in patients with RA.

A bibliometric analysis of research on organizational resilience.

Organizational resilience is a key concept in the study of sustainable corporate growth and indicates an organization's capacity to recover from adversity. It plays a crucial role in responding to uncertain crises. In recent years, academic interest in organizational resilience has increasingly gained prominence. This research uses CiteSpace and VOSviewer to provide a thorough visual analysis of pertinent international literature based on 342 pieces of closely linked literature about organizational resilience. The findings suggest that organizational resilience research is currently experiencing a development phase. Within this field, there is a substantial number of scholars involved, with the most prolific among them including Aleksic Aleksandar, Prayag Girish, and Griffiths Andrew. The networks of collaboration among these authors, nevertheless, are very scattered. Co-citation network research reveals the academics with the biggest sway in the field. Organizational resilience, conservation of resources theory, crisis management, corporate social responsibility, and emergency management are identified as research hotspots within the keyword co-citation network. Furthermore, to determine which countries and regions are the most influential, this study has created a cooperative network among them. China, the United States, and England are the top three nations with articles published. Not only are the highly cited journals respected in the management sector, but they also showcase noteworthy research accomplishments within the field. The purpose of this study is to investigate potential avenues for future research and offer helpful sources for choosing research subjects and developing theoretical frameworks in this area. The analysis is highly valuable as a reference for research on organizational resilience in different settings in the future.

Comprehensive identification and risk assessment of regulated and emerging mycotoxins in infant foods and related raw materials and risk management advice: A case study of an infant food company in China.

This study evaluated muti-mycotoxins in 199 samples including processed infant foods and raw materials collected randomly from an infant food company and assessed their role in dietary exposure in infants and young children via probabilistic risk assessment. Approximately 79.6 % (74/93) of the processed infant foods and 65.1 % (69/106) of the raw materials were contaminated by mycotoxins, with a mean occurrence level of 3.66-321.8 µg/kg. Deoxynivalenol (DON) and tenuazonic acid (TeA) were the more prevalent mycotoxins detected, based on their higher frequencies and levels across samples. Co-occurrence of more than two mycotoxins was detected in 61.3 % (57/93) of the processed infant foods and 53.8 % (57/106) of the raw materials. Wheat flour and derived products (e.g., infant noodles and infant biscuits) were contaminated with higher contamination levels and a greater variety of mycotoxins than other samples (e.g., infant cereal and rice grains). The estimated daily exposure to OTA, DON, ZEN, and TEN was lower than the corresponding reference health-based guidance values, indicating acceptable health risks. However, the estimated dietary exposure to alternariol monomethyl ether (AME), alternariol (AOH), and tenuazonic acid (TeA) exceeded the corresponding thresholds of toxicological concern values, indicating potential dietary intake risks. Among the various samples, cereals and cereal-based infant foods emerged as the primary contributors to mycotoxin exposure. Further research is advised to address the uncertainties surrounding the toxicity associated with emerging Alternaria mycotoxins and to conduct cumulative risk assessments concerning multiple mycotoxin exposure in infants and young children.

Development and validation of a short clinical risk management implementation (Short CRiMI) questionnaire.

Clinical Risk Management (CRM) is an important instrument to continuously improve safety of health care delivery. In Germany, hospitals are required by law to implement CRM and incidence reporting systems. Since 2010, nation-wide surveys have been conducted periodically to evaluate implementation of CRM in hospitals. The instrument used in these surveys is constantly being updated to reflect previous experiences, as well as to adapt to ongoing trends and developments in CRM practices. The survey instrument used in 2022 consisted of up to 200 items and took up to an hour to complete. In this study, we aimed to develop a short instrument to measure the level of CRM implementation in hospitals, evaluate its psychometric properties, and to offer benchmarking data for health care facilities of different sizes. We used data collected in 2022 as part of KHaSiMiR study, employing a cross-sectional self-reported online survey. The hospital administrations were invited to designate one CRM manager to participate in the study. Out of 1,411 general hospitals invited, 401 responses were collected (response rate of 28%). After removing the cases with excessive missings, we imputed remaining missing values using multiple imputation, and split the resulting sample (n=362) in two halves (i.e., exploratory and testing subsamples). A principal component analysis was applied on the first subsample. We validated the resulting model using confirmatory factor analysis in the testing subsample. We evaluated internal consistency, and tested external validity of the established instrument using correlation analysis with two single-item measures: subjective evaluation of CRM implementation compared to similar organizations and compared to own ideal level. The principal component analysis included 45 items from the full instrument. The analysis resulted in a three-factor model with 26 items. In the confirmatory factor analysis, the model demonstrated acceptable fit with the data according to the commonly used fit indices: Chi2/df=1.36, CFI=0.941, TLI=0.930, RMSEA=0.045 (90% CI=0.032-0.056), SRMR=0.049. Cronbach's alpha of all three factors was good (>0.70). All three factors had statistically significant positive correlations with each other (0.359-0.497) and with the two single items (0.282-0.532). None of the correlations were high enough (>0.7) to indicate multicollinearity. The proposed short clinical risk management implementation (Short CRiMI) questionnaire is psychometrically valid and can be used to rapidly evaluate CRM implementation in hospitals. Further research can provide evidence of its external validity and association with quality and safety outcomes. Benchmarking data can be used to compare the results with the data from the most recent Germany-wide survey.

Translating the COVID-19 epidemiological situation into policies and measures: the Belgian experience.

The COVID-19 pandemic led to sustained surveillance efforts, which made unprecedented volumes and types of data available. In Belgium, these data were used to conduct a targeted and regular assessment of the epidemiological situation. In addition, management tools were developed, incorporating key indicators and thresholds, to define risk levels and offer guidance to policy makers. Categorizing risk into various levels provided a stable framework to monitor the COVID-19 epidemiological situation and allowed for clear communication to authorities. Although translating risk levels into specific public health measures has remained challenging, this experience was foundational for future evaluation of the situation for respiratory infections in general, which, in Belgium, is now based on a management tool combining different data sources.

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.

Factors Influencing Adherence to the Risk Management Program for Women With a Genetic Predisposition to Breast Cancer: Real-World Data from a French Multicenter Program.

BACKGROUND: Risk management programs targeting women with genetic predispositions to breast cancer (BC), eg, BRCA1 and BRCA2, are effective assuming full adherence with the program protocol. However, high risk to BC in women and equal access to care may not result in high and uniform adherence with the program. OBJECTIVE: To elucidate factors influencing adherence with screening program in women with genetic predispositions to BC. MATERIAL AND METHODS: We retrieved data from a multicenter pathogenic-related BC surveillance program across 4 French regions. We used multilevel logistic modeling to analyze factors of adherence with the program, with "on-time" or postponed screening as the dependent variable. RESULTS: Seven hundred and seventy-eight participants were followed for a 4.7-year median. We observed 2796 annual screening rounds and 5.4% postponed rounds with a 6-month margin. Women with prevalent BC and carriers of BRCA1 and BRCA2 mutations did not have on-time annual screenings any more than women low cancer risk. Better adherence was observed with screenings after the 2nd round, with higher total number of rounds. Having one or more recalls was significantly associated with worse adherence. No contextual factors affected adherence. Furthermore, postponed rounds increased between 2018 and 2020 compared to 2015 and 2017. CONCLUSION: Having a higher BC risk status does not result in better adherence to the risk management program. However, factors directly related to screening rounds reduced postponements. Future research should address the benefits of screening-related organizational factors that contribute to adherence improvement.

Climate crisis risks to elderly health: strategies for effective promotion and response.

The climate crisis significantly impacts the health and well-being of older adults, both directly and indirectly. This issue is of growing concern in Canada due to the country's rapidly accelerating warming trend and expanding elderly population. This article serves a threefold purpose: (i) outlining the impacts of the climate crisis on older adults, (ii) providing a descriptive review of existing policies with a specific focus on the Canadian context, and (iii) promoting actionable recommendations. Our review reveals the application of current strategies, including early warning systems, enhanced infrastructure, sustainable urban planning, healthcare access, social support systems, and community engagement, in enhancing resilience and reducing health consequences among older adults. Within the Canadian context, we then emphasize the importance of establishing robust risk metrics and evaluation methods to prepare for and manage the impacts of the climate crisis efficiently. We underscore the value of vulnerability mapping, utilizing geographic information to identify regions where older adults are most at risk. This allows for targeted interventions and resource allocation. We recommend employing a root cause analysis approach to tailor risk response strategies, along with a focus on promoting awareness, readiness, physician training, and fostering collaboration and benchmarking. These suggestions aim to enhance disaster risk management for the well-being and resilience of older adults in the face of the climate crisis.

Incidents et accidents médicamenteux en établissement de santé : une analyse descriptive au sein d'un CHU mère-enfant de 2018 à 2022.

Background: The safety of care provided is based on an analysis of medication incidents and accidents. Objective: The primary objective was to describe medication-related incidents and accidents (I&A) within a university-affiliated hospital. Methods: This retrospective descriptive study was based on data from a 500-bed mother-child university-affiliated hospital. All I&As declared between April 1, 2018, and March 31, 2022, were considered. The analysis included all medication-related I&As that occurred during an admission or in an outpatient setting. Some variables were recoded manually. Descriptive statistical analyses were performed. Results: A total of 23 284 I&As were considered, including 7578 medication-related I&As. Daily averages of 15.9 ± 14.0 I&As and 5.2 ± 0.3 medication-related I&As were reported. There were 22.4 medication-related I&As/1000 inpatient days. The majority of medication-related I&As occurred in surgery (20%, 1530/7578), oncology (19%, 1405/7578), and pediatrics (16%, 1200/7578). Most were associated with incorrect dosing (21%, 1575/7578); infiltration, extravasation, or removed lines (19%, 1405/7578); and omissions (16%, 1205/7578). Physical consequences were reported in 15% (1158/7578) of the medication-related I&As. Conversely, psychological consequences were reported in less than 1% (44/7578) of medication-related I&As. Conclusions: This study provides a comprehensive descriptive profile over a 4-year period. Most of the reported I&As did not lead to consequences for patients. The sharing of ratios promotes comparative analysis with other facilities and can contribute to discussions about risk reduction. A culture of reporting events is present within this health care facility.