Protection motivation when using biocidal products - A survey study in Germany

Due to their inherent properties, biocidal products might pose a risk to human and animal health and the environment. In risk management, there exists uncertainty about private users' comprehension of and willingness-to-adhere to use instructions that mitigate these risks (e.g., limit frequency of use or application area). This study aimed at providing insights into the users' perspective by focusing on their attention, comprehension, and the attitudinal predictors of protection motivation. In the online study (N = 957 participants from Germany) were introduced to a hypothetical purchase scenario featuring an insect spray and a realistic set of use instructions. Next, the participants' attention for the use instruction was measured in self-report and by tracking the time spent on the page with the use instruction, while Likert scale-type questions measured the comprehensibility, protection motivation, and predictors. Participants reported higher protection motivation if they spent more time with the use instruction, perceived it as comprehensible, rated the threat to humans, animals, and the environment as more severe, perceived themselves as responsible (i.e., internal locus of control) and capable (i.e., self-efficacy) of adhering to the use instructions, perceived adherence to the use instructions as effective (i.e., response efficacy) and did not perceive biocidal products as inherently safe (i.e., neutral locus of control). These results offer valuable information for an improved regulation of biocidal products and better management of potential risks associated with their use. They also provide concepts for interventions to ensure users of biocidal products follow the instructions for a safe use and better protection of the environment.

A proposed framework for defining the relationship between complexity, project categorization, and project risk management: Case study of a medical company in Morocco

Recent financial crises have highlighted the utmost importance of implementing risk management practices, as exemplified by the profound repercussions of the COVID-19 pandemic. Moreover, we witnessed the rise of various initiatives within the medical sector, specifically in the fields of biomedicine, hospitals, and pharmaceuticals, across Africa, with a notable emphasis on Morocco. The government in Morocco has implemented measures to foster investment and encourage participation from companies and stakeholders. Taking into account an indeterminate and volatile future, it becomes imperative for organizations to establish robust risk management strategies to navigate successfully through these uncertainties. This research paper concentrates on the convergence of complexity, project categorization, and risks. We propose a novel approach to the implementation of the Risk Management Process, utilizing the Enterprise Risk Management framework. By establishing Risk Management rules within the context of a "complex" project, we observed enhanced performance and improved risk management through the holistic consideration of interdependencies rather than treating them as separate entities. Additionally, to substantiate this interdependency, we conducted a comparative analysis of the project's risk and complexity between 2020 and 2022.

Disruptions in the food supply chain: A literature review

Disruptions in the food supply chain are events that affect the flow of products and can be caused by extreme weather, natural disasters, conflicts, pandemics, and political situations, among others. These events can significantly impact food products' availability, quality, and cost, creating risks to the well-being of local populations and livelihoods. The specific literature on food supply chains needs to address other approaches to risk categorisation, which allow for establishing reference frameworks focused on the general classification of types of disruption and parameters related to solution methods. In this paper, we present a literature review to analyse the disruptions in the food supply chain. We classified 74 papers according to the types of disruptions, stakeholders, response level, supply chain echelon, solution methods, goals, and related considerations. The review results showed that the most common disruptions in the food supply chain are climatic, biological and environmental, logistics and infrastructure, and supply. The results of this review allow us to suggest some new research directions.

Gathering, agriculture, and exchange: an ethnoecological approach to the study of food patterns and feedstuff sources in communities of the Central Andes, Peru

BACKGROUND

Historically, the Andean people have experienced uncertainty in terms of the availability of food resources because of climatic and ecological variations that are typical of mountainous environments. Risk management strategies, including the diversified and complementary use and management of species and ecosystems at different elevations, have faced such uncertainty. The current effects of climate change on food security motivate studies on subsistence adaptative strategies. TEK offers extraordinary experience and local biocultural memory to meet present and future needs. From an ethnoecological perspective, we aim to identify the variety of local foods in Andean communities, their cultural and nutritional value for local people, their use frequencies, and their forms to obtain them from different environments, productive systems, and interchanges. We expected to identify traditional Andean diversified subsistence patterns despite the pressure of modern food and interchange systems.

METHODS

This study was conducted in two communities in the highlands of the Department of Huánuco, Peru. We conducted 24 semistructured interviews with households sampled through the snowball method. We asked about their daily life food, plant and animal components of diet, frequencies and seasons in which they are consumed, and ways to obtain them. We complemented the information through ethnobotanical collection of wild, weedy, and ruderal edible plants and records on domestic and wild animals included in the diet.

RESULTS

We recorded 37 crop species, 13 domestic animals, 151 wild, weedy, and ruderal food plant species, the 3 most commonly consumed wild animals, and 52 processed products obtained from local stores and markets. The main crops are potato and maize, while the main domestic animals included in the diet are cattle, pigs, and sheep. Rice, pasta, and bread are the main raw and processed foods included in the diet. Crops represent nearly half of the food consumed and purchased (in kg/year), and tubers and cereals provide most of the kilocalories, carbohydrates and proteins. Wild, weedy, and ruderal plants are consumed in relatively low amounts and at relatively low frequencies per species, but overall, they constitute a significant proportion of the kg of annually consumed food (14.4% in Cani and 9.6% in Monte Azul). Knowledge and use of these resources play a key role in local cuisine and nutrition.

CONCLUSION

The current food patterns studied are based on diverse diets, including multiple feedstuffs, sources, and practices to obtain them, which reflects the traditional Andean subsistence pattern. The increasing adoption of processed food has influenced the declining consumption of local food, mainly among young people. Communication and policies to promote local food, emphasizing the role of wild plants and their adequate consumption, and provide information on their nutritional value are recommended to support efforts toward food sovereignty and conservation of Andean biocultural diversity.

Postoperative delirium in oral and maxillofacial surgery: a scoping review

BACKGROUND

Postoperative delirium (POD) in the oral and maxillofacial settings has gained more attention in recent decades. Due to advances in medical technology, treatment possibilities have expanded treatment for elderly and frail patients. This scoping review explores the correlation between POD and oral and maxillofacial surgery, summarizing screening and management protocols and identifying risk factors in this surgical field.

METHODS

This review follows the Scoping Review extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR). A comprehensive literature search was performed using multiple databases, focusing on articles published from 2002 to 2023 that discuss delirium in oral and maxillofacial surgery settings. The review was registered beforehand in the Open Science Framework ( https://osf.io/r2ebc ).

RESULTS

From the initial 644 articles, 68 met the inclusion criteria. These studies highlighted the significant heterogeneity in POD diagnosis methods. The review identifies multiple risk factors across the preoperative, intraoperative, and postoperative phases that influence the occurrence of POD. Significant and independent risk factors in multiple regression analysis were highlighted, creating a clinical prediction list for the occurrence of POD.

CONCLUSION

It is crucial to preoperatively identify patients at risk for POD and actively modify these risks throughout the patient's hospital stay. Implementing nonpharmacological preventive measures for at-risk patients is recommended to decrease the incidence of POD. Future research should focus on creating standardized specialty-specific protocols incorporating validated assessment tools and addressing the full spectrum of risk factors associated with POD.

Predicting postacute phase anaemia after aneurysmal subarachnoid haemorrhage: nomogram development and validation

BACKGROUND

Anaemia is a severe and common complication in patients with aneurysmal subarachnoid haemorrhage (aSAH). Early intervention for at-risk patients before anaemia occurs is indicated as potentially beneficial, but no validated method synthesises patients' complicated clinical features into an instrument. The purpose of the current study was to develop and externally validate a nomogram that predicted postacute phase anaemia after aSAH.

METHODS

We developed a novel nomogram for aSAH patients to predict postacute phase anaemia (3 days after occurrence of aSAH, prior to discharge) on the basis of demographic information, imaging, type of treatment, aneurysm features, blood tests and clinical characteristics. We designed the model from a development cohort and tested the nomogram in external and prospective validation cohorts. We included 456 aSAH patients from The First Affiliated Hospital for the development, 220 from Sanmen People's Hospital for external validation and a prospective validation cohort that included 13 patients from Hangzhou Red Cross Hospital. We assessed the performance of the nomogram via concordance statistics and evaluated the calibration of predicted anaemia outcome with observed anaemia occurrence.

RESULTS

Variables included in the nomogram were age, treatment method (open surgery or endovascular therapy), baseline haemoglobin level, fasting blood glucose level, systemic inflammatory response syndrome score on admission, Glasgow Coma Scale score, aneurysm size, prothrombin time and heart rate. In the validation cohort, the model for prediction of postacute phase anaemia had a c-statistic of 0.910, with satisfactory calibration (judged by eye) for the predicted and reported anaemia outcome. Among forward-looking forecasts, our predictive model achieved an 84% success rate, which showed that it has some clinical practicability.

CONCLUSIONS

The developed and validated nomogram can be used to calculate individualised anaemia risk and has the potential to serve as a practical tool for clinicians in devising improved treatment strategies for aSAH.

Risk assessment of clinical trial protocols: a tool for hospital pharmacists to reduce human error in experimental drug management

BACKGROUND AND OBJECTIVES

Hospital pharmacists collaborate in clinical trials by managing the reception, conservation, distribution, return and destruction of the investigational medical products (IMP). However, errors can happen during the simultaneous management of multiple trials because each clinical trial stipulates its own method for managing the drug under study. In order to promote optimal management by hospital pharmacists, we developed a method for calculating a risk of error index for each experimental protocol, and wrote standard procedures for managing trials assigned low, moderate and high risk levels, to provide hospital pharmacists with a systematic tool for reducing human error in the management of IMPs for multiple clinical trials.

METHODS

Calculation of this risk of error index (ρ) entails four factors: the pharmacological risk of error (φ) inherent in the pharmacological characteristics and route of administration of the IMP (carcinogenic, mutagenic, cytotoxic nature of the drug, parental or non-parenteral administration), the technological risk of error (α) involved should drug compounding be required, the risk of error related to the number of patients enrolled (np) and the risk of error intrinsic to the protocol (π) when it involves placebos, randomisation or other factors. We developed the formula [Formula: see text] to define trials as low (ρ<50), moderate (51<ρ<150) and high risk (ρ>151) for hospital pharmacist error.

RESULTS

Calculations of this formula for 60 active trials indicated that seven (11.7%) of the protocols were low risk of hospital pharmacist error, 43 (71.7%) were moderate risk and 10 (16.6%) were high risk. For each of these categories (low, moderate and high risk) we have outlined standard procedures in order to minimise the occurrence of any errors.

CONCLUSIONS

Following validation of our formula and standard procedures by the ISMETT Research Institute, we are promoting the use of the tool in other clinical centres as we believe it can help hospital pharmacists minimise the risk of error in managing experimental drugs for clinical trials.

Defining the analytical complexity of decision problems under uncertainty based on their pivotal properties

Background

Uncertainty poses a pervasive challenge in decision analysis and risk management. When the problem is poorly understood, probabilistic estimation exhibits high variability and bias. Analysts then utilize various strategies to find satisficing solutions, and these strategies can sometimes adequately address even highly complex problems. Previous literature proposed a hierarchy of uncertainty, but did not develop a quantitative score of analytical complexity.

Methods

In order to develop such a score, this study reviewed over 90 strategies to cope with uncertainty, including methods utilized by expert decision-makers such as engineers, military planners and others.

Results

It found that many decision problems have pivotal properties that enable their solution despite uncertainty, including small action space, reversibility and others. The analytical complexity score of a problem could then be defined based on the availability of these properties.

A multifaceted risk management program to improve the reporting rate of patient safety incidents in primary care: a cluster-randomised controlled trial

BACKGROUND

While patient safety incident reporting is of key importance for patient safety in primary care, the reporting rate by healthcare professionals remains low. This study aimed to assess the effectiveness of a risk management program in increasing the reporting rate within multiprofessional primary care facilities.

METHODS

A nation-wide cluster-randomised controlled trial was performed in France, with each cluster defined as a primary care facility. The intervention included professional e-learning training, identification of a risk management advisor, and multidisciplinary meetings to address incident analysis. In the first observational period, a patient safety incident reporting system for professionals was implemented in all facilities. Then, facilities were randomised, and the program was implemented. Incidents were reported over the 15-month study period. Quasi-Poisson models were used to compare reporting rates.

RESULTS

Thirty-five facilities (intervention, n = 17; control, n = 18) were included, with 169 and 232 healthcare professionals, respectively, involved. Overall, 7 out of 17 facilities carried out the entire program (41.2%), while 6 did not hold meetings (35.3%); 48.5% of professionals logged on to the e-learning website. The relative rate of incidents reported was 2.7 (95% CI = [0.84-11.0]; p = 0.12). However, a statistically significant decrease in the incident rate between the pre-intervention and post-intervention periods was observed for the control arm (HR = 0.2; 95% CI = [0.05-0.54]; p = 0.02), but not for the intervention arm (HR = 0.54; 95% CI = [0.2-1.54]; p = 0.23).

CONCLUSION

This program didn't lead to a significant improvement in the patient safety incident reporting rate by professionals but seemed to sustain reporting over time. Considering that the program was fully implemented in only 41% of facilities, this highlights the difficulty of implementing such multidisciplinary programs in primary care despite its adaptation to the setting. A better understanding of how risk management is currently organized in these multiprofessional facilities is of key importance to improve patient safety in primary care.

TRIAL REGISTRATIONS

The study has been registered at clinicaltrials.gov (NCT02403388) on 30 March 2015.

Acceptability of data linkage to identify women at risk of postnatal complication for the development of digital risk prediction tools and interventions to better optimise postnatal care, a qualitative descriptive study design

BACKGROUND

Pregnancy acts as a cardiovascular stress test. Although many complications resolve following birth, women with hypertensive disorder of pregnancy have an increased risk of developing cardiovascular disease (CVD) long-term. Monitoring postnatal health can reduce this risk but requires better methods to identity high-risk women for timely interventions.

METHODS

Employing a qualitative descriptive study design, focus groups and/or interviews were conducted, separately engaging public contributors and clinical professionals. Diverse participants were recruited through social media convenience sampling. Semi-structured, facilitator-led discussions explored perspectives of current postnatal assessment and attitudes towards linking patient electronic healthcare data to develop digital tools for identifying postpartum women at risk of CVD. Participant perspectives were gathered using post-it notes or a facilitator scribe and analysed thematically.

RESULTS

From 27 public and seven clinical contributors, five themes regarding postnatal check expectations versus reality were developed, including 'limited resources', 'low maternal health priority', 'lack of knowledge', 'ineffective systems' and 'new mum syndrome'. Despite some concerns, all supported data linkage to identify women postnatally, targeting intervention to those at greater risk of CVD. Participants outlined potential benefits of digitalisation and risk prediction, highlighting design and communication needs for diverse communities.

CONCLUSIONS

Current health system constraints in England contribute to suboptimal postnatal care. Integrating data linkage and improving education on data and digital tools for maternal healthcare shows promise for enhanced monitoring and improved future health. Recognised for streamlining processes and risk prediction, digital tools may enable more person-centred care plans, addressing the gaps in current postnatal care practice.

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.

The Use of Big Data Analysis in Digital Empowerment of Sustainable Technological Innovation Management of Ecological Enterprises

With the social economy's rapid progress and the popularization of environmental awareness, ecological enterprises have gradually become a crucial trend in the development of modern enterprises. This work intends to promote the development of ecological enterprises to a higher level. This work first analyzes the management mode of ecological enterprises in the context of big data in China. Then, it establishes various indicators to analyze the role of sustainable technological innovation in enterprise development and the impact of digital empowerment on enterprise development. Finally, this work takes China's manufacturing industry and ecological enterprises in Hubei Province as examples to summarize the digital empowerment of sustainable technological innovation management of ecological enterprises under the background of big data. The final result indicates that sustainable technological innovation significantly reduces ecological enterprises' resource consumption and waste emissions. Additionally, it has a significant positive effect on improving enterprise output value and economic benefits. The digital empowerment of enterprises has a significant driving effect on sustainable technological innovation, with a digital driving coefficient of 26. This work provides a feasible scheme for the specific application of big data analysis in the technology innovation management of ecological enterprises, including market demand analysis, environmental monitoring and governance, technology assessment and risk management. This work expounds the role of big data analysis technology in improving decision-making efficiency, optimizing resource allocation and enhancing the competitiveness of enterprises in the digital empowerment of ecological enterprises.

Reaching the Unreachable: Intensive Mobile Treatment, an Innovative Model of Community Mental Health Engagement and Treatment

In this paper we introduce the Intensive Mobile Treatment (IMT) model, which arose from a 2016 New York City initiative to engage individuals who were "falling through the cracks" of the mental health, housing, and criminal justice systems. People who are referred to IMT often have extensive histories of trauma. They experience structural racism and discrimination within systems and thus can present as distrustful of treatment teams. We detail the structure of the program as we practice it at our non-profit agency and outline the psychodynamic concepts that inform our work with challenging populations. We acknowledge IMT's role in engaging in advocacy and addressing social justice in our work. We also discuss how through this model we are able to both mitigate and tolerate risk in participants with difficult-to-manage behaviors. This is typically a long-term, non-linear process. We address how this impacts the team dynamic as a whole and explain how with long-term, trusting therapeutic relationships, participants can change and grow over time. We also explain the ways in which our non-billing model plays an integral role in the treatment we are able to provide and identify several challenges and areas for program growth. In outlining our model and its methodology, we hope to empower other practitioners to adapt IMT to other settings beyond the New York City area.

Relationships between medications used in a mental health hospital and types of medication errors: A cross-sectional study over an 8-year period

BACKGROUND

Particularities in psychiatry care can increase the risk of medication errors (MEs).

OBJECTIVE

To analyze the MEs that occurred in a psychiatric hospital and to quantify relationships between the use of certain types of medication and the type of MEs.

METHODS

We conducted a retrospective register based cross-sectional study in a French psychiatric hospital (2014-2021). All MEs were analyzed using ALARM method to identify type, stage of occurring and interception (defenses), consequences, drug involved and root causes. The prevalence-odds ratio (POR) was calculated to estimate relationships between five selected medication situations (long-acting injectable antipsychotics (LAIA), oral liquid dosage forms in a multiple-unit-container (OLDS-MC), psychotropic drugs (PD), controlled medicines (CM) or high-alert drugs) and the type of MEs occurred.

RESULTS

Among the 609 MEs reported, wrong dose (32.2%), wrong drug (30.3%), omission (14.2%) and wrong patient (12.9%) were frequently observed. The ME occurrence stage were prescribing (55.3%) and administration (30.2%). Medication order review intercepted 77.9% of MEs. CM or LAIA increased the risk of medication omission (POR: 3.9, 95%CI: 1.8-8.4 and 2.5, 95%CI; 1.2-5.1, respectively) while the use of high-alert medications decreased it (0.2, 95%CI: 0.1-0.8). OLDS-MC and PD were more likely to be administered to the wrong patient (6.1, 95%CI: 3.3-11.4 and 16.1, 95%CI: 7.2-35.8). LAIA were associated with an increased risk of wrong dose (3.4, 95%CI: 1.8-6.3). Actual errors risk was lower with high-alert drugs (0.5, 95%CI: 0.3-09), but higher with CM (3.5, 95%CI: 1.5-8.0), OLDS-MC (2.1, 95%CI: 1.2-3.8) and PD (2.5, 95%CI: 1.8-3.5). Patients exposed to high-alert drugs were likely to have a serious error (3.5, 95%CI: 1.2-10.4).

CONCLUSIONS

This study sheds an innovative approach to analyze MEs by demonstrating that certain medication situations were more likely to lead to certain types of error. This enables the most appropriate prevention barriers to be put in place to intercept ME.

Latest developments of generative artificial intelligence and applications in ophthalmology

The emergence of generative artificial intelligence (AI) has revolutionized various fields. In ophthalmology, generative AI has the potential to enhance efficiency, accuracy, personalization and innovation in clinical practice and medical research, through processing data, streamlining medical documentation, facilitating patient-doctor communication, aiding in clinical decision-making, and simulating clinical trials. This review focuses on the development and integration of generative AI models into clinical workflows and scientific research of ophthalmology. It outlines the need for development of a standard framework for comprehensive assessments, robust evidence, and exploration of the potential of multimodal capabilities and intelligent agents. Additionally, the review addresses the risks in AI model development and application in clinical service and research of ophthalmology, including data privacy, data bias, adaptation friction, over interdependence, and job replacement, based on which we summarized a risk management framework to mitigate these concerns. This review highlights the transformative potential of generative AI in enhancing patient care, improving operational efficiency in the clinical service and research in ophthalmology. It also advocates for a balanced approach to its adoption.

Application of trigger tools for detecting adverse drug events in older people: A systematic review and meta-analysis

OBJECTIVE

To identify trigger tools applied to detect adverse drug events (ADEs) in older people and describe their utility and performance.

METHODS

A systematic review was conducted in the PubMed, Lilacs, and Scopus databases (January 2024). Studies that developed, applied, or validated trigger tools and evaluated their utility and/or performance for detecting ADEs in older people were considered. Direct proportion meta-analyses using the inverse-variance method were performed for prevalence of ADEs and positive predictive value (PPV).

RESULTS

Twenty-four studies (25 publications) were included. Twelve trigger tools were identified, of which six were developed for detecting ADEs in older population, four developed for general population and modified for older people, and two developed for general population. No tools for detecting ADEs in older people receiving palliative care or hospitalized in intensive or surgical care units were found. The performance of triggers was presented through PPV (11.5-71%), negative predictive values (83.3%), and sensitivity (30-94.8%). The overall PPV was 33.3% (95%CI: 32.5-34.2%). Triggers with good performance were changes in plasma levels of digoxin, glucose, and potassium; changes in international normalized ratio; abrupt medication stop; hypotension; and constipation. The prevalence of ADEs ranged from 2.8 to 66%, with overall prevalence of ADEs of 20% (95%CI: 19.3-20.8%). Preventability ranged from 8.4 to 94.4%. Metabolic or electrolyte disturbances induced by diuretics, constipation induced by opioids, and falls and delirium induced by benzodiazepines were the most prevalent ADEs.

CONCLUSION

The trigger tools are flexible and easy to apply, and they can contribute to the detection of ADEs, their associated risk factors, the level of harm, and preventability in different health settings. However, there is no consensus on good or poor values of PPV, which indicate the performance of triggers. Furthermore, there is limited evidence regarding the evaluation of performance through negative predictive value, sensitivity, and specificity.

PROSPERO

CRD42022379893.

Risk management of radioiodine treatment in differentiated thyroid cancer

INTRODUCTION

Patient safety is paramount in providing quality healthcare and constitutes a global concern for healthcare systems. Radioiodine treatment to patients with well-differentiated thyroid cancer is not without risks. The aim of this study is to identify, evaluate and mitigate the risks associated with this procedure.

MATERIALS AND METHODS

A single-centre descriptive study was conducted in which risk management was carried out by establishing a risk map using FMEA methodology.

RESULTS

Based on the process map 6 sub-processes and 23 failure modes in the three phases of the treatment process were analysed. According to risk priority number (RPN), the sub-process with the highest risk was administrative management (RPN 82), followed by treatment per se and post-treatment imaging (both with RPN 70). An overall process RPN of 300 (156 pre-treatment, 74 treatment and 70 post-treatment) was obtained. Failures directly related to the patient pose a high risk. The implementation of verification systems, performing tasks earlier and providing quality medical information are the most relevant preventive measures to be implemented.

CONCLUSIONS

The application of the FMEA methodology in the risk management for radioiodine treatment is a valuable tool for improving the quality and safety of this process. The risk map has been able to identify failures at different stages, assess their causes and effects, prioritise the risks identified and implement preventive and corrective measures that can be monitored, ensuring the effectiveness of the actions taken.

Application of a Human Factors Systems Approach to Healthcare Control Centres for Managing Patient Flow: A Scoping Review

Over the past decade, healthcare systems have started to establish control centres to manage patient flow, with a view to removing delays and increasing the quality of care. Such centres-here dubbed Healthcare Capacity Command/Coordination Centres (HCCCs)-are a challenge to design and operate. Broad-ranging surveys of HCCCs have been lacking, and design for their human users is only starting to be addressed. In this review we identified 73 papers describing different kinds of HCCCs, classifying them according to whether they describe virtual or physical control centres, the kinds of situations they handle, and the different levels of Rasmussen's [1] risk management framework that they integrate. Most of the papers (71%) describe physical HCCCs established as control centres, whereas 29% of the papers describe virtual HCCCs staffed by stakeholders in separate locations. Principal functions of the HCCCs described are categorised as business as usual (BAU) (48%), surge management (15%), emergency response (18%), and mass casualty management (19%). The organisation layers that the HCCCs incorporate are classified according to the risk management framework; HCCCs managing BAU involve lower levels of the framework, whereas HCCCs handling the more emergent functions involve all levels. Major challenges confronting HCCCs include the dissemination of information about healthcare system status, and the management of perspectives and goals from different parts of the healthcare system. HCCCs that take the form of physical control centres are just starting to be analysed using human factors principles that will make staff more effective and productive at managing patient flow.

Development and validation of a model to predict the need for artificial airways for acute trauma patients in the emergency department: a retrospective case-control study

OBJECTIVE

To develop scores for predicting the need for artificial airway procedures for acute trauma patients in the emergency department (ED).

DESIGN

Retrospective case-control.

SETTING

A tertiary comprehensive hospital in China.

PARTICIPANTS

8288 trauma patients admitted to the ED within 24 hours of injury and who were admitted from 1 August 2012 to 31 July 2020.

PRIMARY AND SECONDARY OUTCOME MEASURES

The study outcome was the establishment of an artificial airway within 24 hours of admission to the ED. Based on the different feature compositions, two scores were developed in the development cohort by multivariable logistic regression. The predictive performance was assessed in the validation cohort.

RESULTS

The O-SPACER (Oxygen saturation, Systolic blood pressure, Pulse rate, Age, Coma Scale, Eye response, Respiratory rate) score was developed based on the patient's basic information with an area under the curve (AUC) of 0.85 (95% CI 0.80 to 0.89) in the validation group. Based on the basic information and trauma scores, the IO-SPACER (Injury Severity Score, Oxygen saturation, Systolic blood pressure, Pulse rate, Age, Coma Scale, Eye response, Respiratory rate) score was developed, with an AUC of 0.88 (95% CI 0.84 to 0.92). According to the O-SPACER and IO-SPACER scores, the patients were stratified into low, medium and high-risk groups. According to these two scores, the high-risk patients were associated with an increased demand for artificial airways, with an OR of 40.16-40.67 compared with the low-risk patients.

CONCLUSIONS

The O-SPACER score provides risk stratification for injured patients requiring urgent airway intervention in the ED and may be useful in guiding initial management. The IO-SPACER score may assist in further determining whether the patient needs planned intubation or tracheotomy early after trauma.

Evaluation of insurance policies in the Saudi Arabian construction contracts

The construction sector is more complicated and prone to risk than many other industries due to the size of the projects and the financial capital involved. Arranging insurance is the prudent course of action for risk management in the construction sector. There is a lack of clarity in insurance policies for public construction projects in the Kingdom of Saudi Arabia (KSA), which poses additional risks to all involved contracting parties. The aim of this research is to evaluate insurance policies in the KSA's public construction projects to identify the key deficiencies and obstacles and provide a road map for improvement in the insurance sector concerning insurance against financial losses, professional liability, defects' liability, hidden defects, and others. Forty-two contractors and forty-two owners in Saudi Arabia were surveyed, using a questionnaire to gather information for the study about their knowledge of and attitudes regarding risk transfer through insurance (professional liability, defects liability, and hidden defects). The study also covers the selection criteria for insurance policies for projects that potentially shift risk to the construction sector. Ten criteria were also examined as potential sources of liability issues and suggested as potential remedies in KSA. The findings indicate that the duty and liability of engineers and those participating in these projects can be offset by engineers' insurance against professional errors and hidden flaws, and by the construction industry's clear liability policy. Additionally, the research is envisaged to contribute to construction projects' overall quality and safety, ensuring that robust legal and financial safeguards protect all stakeholders.

Design of overnight radiology shifts - primum non nocere

Overnight radiology (ONR) is necessary for providing timely patient care but poses unique professional and personal challenges to the radiologists. Maintaining a sustainable, long-term overnight radiology program hinges on the retention of radiologists who grasp the institutional workflow and can adeptly navigate inherent disruptions while consistently delivering high-quality patient care. Design of radiology shifts can significantly impact the performance and well-being of radiologists, with downstream implications for patient care and risk management. We provide a narrative review of literature to make recommendations for optimally designing ONR shifts, with a focus on professional and personal challenges pertinent to overnight radiologists and system-based risk mitigation strategies.

Maternal and long-term offspring outcomes of obesity during pregnancy

PURPOSE

Obesity`s prevalence is rising in women of reproductive age worldwide and has become the most common medical condition at this age group. Besides, its occurrence is also rising during pregnancy. This condition not only increases the risk of noncommunicable diseases on the mother, such as cardiovascular disease and diabetes, but also transfers this risk to the offspring.

METHODS

This is a narrative review based on scientific and review articles on the matter.

RESULTS

Obesity is associated with an increased risk of gestational diabetes mellitus, gestational hypertension and preeclampsia, venous thromboembolism, infection, and mental health problems. Furthermore, it has an impact on the progress of labor and induction matters. Regarding offspring outcomes, it is related to higher incidence of congenital anomalies, perinatal mortality, and the occurrence of large for gestational age newborns. Still, it has implications on cardiometabolic risk and neurodevelopment in offspring.

CONCLUSION

It is, therefore, imperative to encourage the adoption of healthy lifestyles, especially in the peri-conception and interpregnancy periods. Likewise, there must be support in the multidisciplinary monitoring of these pregnant women to minimize associated complication rates.

Risk assessment of Benzene, Toluene, Ethyl benzene, and Xylene (BTEX) in the atmospheric air around the world: A review

Volatile organic compounds, such as BTEX, have been the subject of numerous debates due to their detrimental effects on the environment and human health. Human beings have had a significant role in the emergence of this situation. Even though US EPA, WHO, and other health-related organizations have set standard limits as unhazardous levels, it has been observed that within or even below these limits, constant exposure to these toxic chemicals results in negative consequences as well. According to these facts, various studies have been carried out all over the world - 160 of which are collected within this review article, so that experts and governors may come up with effective solutions to manage and control these toxic chemicals. The outcome of this study will serve the society to evaluate and handle the risks of being exposed to BTEX. In this review article, the attempt was to collect the most accessible studies relevant to risk assessment of BTEX in the atmosphere, and for the article to contain least bias, it was reviewed and re-evaluated by all authors, who are from different institutions and backgrounds, so that the insights of the article remain unbiased. There may be some limitations to consistency or precision in some points due to the original sources, however the attempt was to minimize them as much as possible.

Quality improvement initiative to reduce Medical Adhesive Related Skin injury (MARSI) in very preterm babies admitted to neonatal intensive care unit

INTRODUCTION

Sick preterm neonates are most vulnerable to developing skin injuries. Despite sound knowledge and application of evidence-based practices for preventing medical adhesive-related skin injury (MARSI), the incidence of MARSI was 30 events per 1000 adhesive application days in our unit.

AIMS AND OBJECTIVES

We aimed to reduce the median MARSI rate from the existing 30 per 1000 MARSI days to <5 per 1000 MARSI over 5 months from June 2023 to October 2023.

MATERIAL & METHODS

With the point-of-care quality improvement (QI) approach, a prospective study was planned to reduce the incidence of MARSI among sick very preterm newborns (<32 weeks gestational age) and eventually improve overall skin condition during hospital stay. Sequential Plan-Do-Study-Act cycles were implemented based on the identified risk factors recognised during recurring team discussions.

RESULTS

We demonstrated a reduction in the MARSI rate from 30 events per 1000 adhesive applications (during baseline assessment) to zero events per 1000 adhesive applications at the end of the study period. It was temporally related to the assessment of skin risk stratification at admission using a validated tool, regular assessment of neonatal skin condition score based on the skin risk stratification, and reinforcement of MARSI prevention bundle by application of barrier spray. Awareness regarding 'skin injury prevention' bundles was continually generated among healthcare professionals. The MARSI rate remained <5 events per adhesive application in the sustenance phase over 6 months.

CONCLUSION

Implementing evidence-based skin care practices resulted in a significant reduction in iatrogenic cutaneous injury events in very preterm neonates.

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.