Assessing primary healthcare disaster preparedness: a study in Northern Italy.

AIM: The aim of this paper is to outline the steps taken to develop an operational checklist to assess primary healthcare (PHC) all-hazards disaster preparedness. It then describes a study testing the applicability of the checklist. BACKGROUND: A PHC approach is an essential foundation for health emergency and disaster risk management (H-EDRM) because it can prevent and mitigate risks prior to disasters and support an effective response and recovery, thereby contributing to communities' and countries' resilience across the continuum of the disaster cycle. This approach is in line with the H-EDRM framework, published by the World Health Organization (WHO) in 2019, which emphasizes a whole-of-health system approach in disaster management and highlights the importance of integrating PHC into countries' H-EDRM. Nevertheless, literature focusing on how to practically integrate PHC into disaster management, both at the facility and at the policy level, is in its infancy. As of yet, there is no standardized, validated way to assess the specific characteristics that render PHC prepared for disasters nor a method to evaluate its role in H-EDRM. METHODS: The checklist was developed through an iterative process that leveraged academic literature and expert consultations at different stages of the elaboration process. It was then used to assess primary care facilities in a province in Italy. FINDINGS: The checklist offers a practical instrument for assessing and enhancing PHC disaster preparedness and for improving planning, coordination, and funding allocation. The study identified three critical areas for improvement in the province's PHC disaster preparedness. First, primary care teams should be more interdisciplinary. Second, primary care services should be more thoroughly integrated into the broader health system. Third, there is a notable lack of awareness of H-EDRM principles among PHC professionals. In the future, the checklist can be elaborated into a weighted tool to be more broadly applicable.

A retrospective comparison of mechanical cardio-pulmonary ventilation and manual bag valve ventilation in non-traumatic out-of-hospital cardiac arrests: A study from the Belgian cardiac arrest registry.

BACKGROUND: The optimal ventilation modalities to manage out-of-hospital cardiac arrest (OHCA) remain debated. A specific pressure mode called cardio-pulmonary ventilation (CPV) may be used instead of manual bag ventilation (MBV). We sought to analyse the association between mechanical CPV and return of spontaneous circulation (ROSC) in non-traumatic OHCA. METHODS: MBV and CPV were retrospectively identified in patients with non-traumatic OHCA from the Belgian Cardiac Arrest Registry. We used a two-level mixed-effects multivariable logistic regression analysis to determine the association between the ventilation modalities and outcomes. The primary and secondary study criteria were ROSC and survival with a Cerebral Performance Category (CPC) score of 1 or 2 at 30 days. Age, sex, initial rhythm, no-flow duration, low-flow duration, OHCA location, use of a mechanical chest compression device and Rankin status before arrest were used as covariables. RESULTS: Between January 2017 and December 2021, 2566 patients with OHCA who fulfilled the inclusion criteria were included. 298 (11.6%) patients were mechanically ventilated with CPV whereas 2268 were manually ventilated. The use of CPV was associated with greater probability of ROSC both in the unadjusted (odds ratio: 1.28, 95% confidence interval [CI]: 1.01-1.63; p = 0.043) and adjusted analyses (adjusted odds ratio [aOR]: 2.16, 95%CI 1.37-3.41; p = 0.001) but not with a lower CPC score (aOR: 1.44, 95%CI 0.72-2.89; p = 0.31). CONCLUSIONS: Compared with MBV, CPV was associated with an increased risk of ROSC but not with improved an CPC score in patients with OHCA. Prospective randomised trials are needed to challenge these results.

The Use of the Health Belief Model in the Context of Heatwaves Research: A Rapid Review.

As heatwaves increase and intensify worldwide, so has the research aimed at outlining strategies to protect individuals from their impact. Interventions that promote adaptive measures to heatwaves are encouraged, but evidence on how to develop such interventions is still scarce. Although the Health Belief Model is one of the leading frameworks guiding behavioral change interventions, the evidence of its use in heatwave research is limited. This rapid review aims to identify and describe the main themes and key findings in the literature regarding the use of the Health Belief Model in heatwaves research. It also highlights important research gaps and future research priorities. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 10 articles were included, with a geographic distribution as follows: United States (n = 1), Australia (n = 1), Pakistan (n = 1), and China (n = 1), as well as Malaysia (n = 2), Germany (n = 1), and Austria (n = 1). Results showed a lack of research using the Health Belief Model to study heatwaves induced by climate change. Half of the studies assessed heatwave risk perception, with the 2 most frequently used constructs being Perceived Susceptibility and Perceived Severity. The Self-efficacy construct was instead used less often. Most of the research was conducted in urban communities. This review underscores the need for further research using the Health Belief Model.

FFRct use for acute chest pain triage in the emergency department: a cost-effectiveness analysis.

AIMS: To model and assess the cost-effectiveness of CT-based fractional flow reserve (FFRct) for a population of low to intermediate risk patients for coronary artery disease (CAD) presenting to the emergency department (ED) with acute chest pain. METHODS AND RESULTS: Using a decision tree model with a 1 year time horizon and from a health care perspective, two diagnostic pathways using FFRct are compared to current clinical routine combining coronary computed tomography angiography (CCTA) with an exercise test. Model data are drawn from the literature and nationally reported data. Outcomes are assessed as the number of avoided invasive coronary angiographies (ICAs) showing no obstructive CAD and quality of life (QoL) in a theoretical cohort of 1000 patients. Sensitivity analyses are performed to test the robustness of the results. Determining FFRct when CCTA is inconclusive is a cost-effective and dominant strategy with a potential saving of 198€/patient, 154 avoided unnecessary ICA showing no obstructive CAD (uICA)/1000 patients and an average improvement in QoL of 0.008 QALY/patient. With an additional 574€/patient, 8 avoided uICA/1000 patients and an improvement in QoL of 0.001 QALY/patient, a strategy where FFRct is always performed is cost-effective only when considering high cost-effectiveness thresholds. CONCLUSIONS: For patients presenting to the ED with acute chest pain and a low to intermediate pre-test probability of CAD, a diagnostic strategy where FFRct is determined after an inconclusive CCTA is cost-effective. Clinical trials investigating both sensitivity and specificity of FFRct, as well as QoL associated with the use of this technology in this setting are warranted.

Factors causing emergency medical care overload during heatwaves: A Delphi study.

Heatwaves pose an important risk for population health and are associated with an increased demand for emergency care. To find factors causing such overload, an online Delphi study included 15 experts in emergency medicine, disaster medicine, or public health. One open-ended question was delivered in the first round. After content analysis, the obtained statements were sent to the experts in two rounds to be rated on a 7-point linear scale. Consensus was defined as a standard deviation ≤ 1.0. Thirty-one statements were obtained after content analysis. The experts agreed on 18 statements, mostly focusing on the input section of patient processing and identifying stakeholders, the population, and primary care as targets of potential interventions. Additional dedicated resources and bed capacity were deemed important as per throughput and output sections, respectively. These findings could be used in the future to implement and test solutions to increase emergency healthcare resilience during heatwaves and reduce disaster risk due to climatic change.

Scenario-Based e-Simulation Design for Global Health Education: Theoretical Foundation and Practical Recommendations.

Electronic simulation (e-simulation)-particularly scenario-based e-simulation (SBES)-is an increasingly used, promising educational strategy for global health education that can address gaps in training access, effectiveness, and cost. However, there is little guidance for educators on how to develop an SBES, and guidance is lacking outside the clinical context. Moreover, literature on medical education rarely uses the theoretical basis for e-simulation design and development, including for SBES. Hence, we aim to differentiate and describe the concept, design elements, and theoretical basis of SBES with examples from different topics in global health. In addition to enhancing the understanding of the potential of SBES for global health education, this manuscript also provides practical recommendations for global health educators in designing and developing SBESs based on the existing literature and authors' experiences. Overall, this manuscript will be useful for global health educators as well as other medical educators seeking to develop an SBES for similar skill sets.

e-Learning Evaluation Framework and Tools for Global Health and Public Health Education: Protocol for a Scoping Review.

BACKGROUND: There has been a significant increase in the use of e-learning for global and public health education recently, especially following the COVID-19 pandemic. e-Learning holds the potential to offer equal opportunities, overcoming barriers like physical limitations and training costs. However, its effectiveness remains debated, with institutions unprepared for the sudden shift during the pandemic. To effectively evaluate the outcomes of e-learning, a standardized and rigorous approach is necessary. However, the existing literature on this subject often lacks standardized assessment tools and theoretical foundations, leading to ambiguity in the evaluation process. Consequently, it becomes imperative to identify a clear theoretical foundation and practical approach for evaluating global and public health e-learning outcomes. OBJECTIVE: This protocol for a scoping review aims to map the state of e-learning evaluation in global and public health education to determine the existing theoretical evaluation frameworks, methods, tools, and domains and the gaps in research and practice. METHODS: The scoping review will be conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The initial search was performed in PubMed, Education Resource Information Center, Web of Science, and Scopus to identify peer-reviewed articles that report on the use of evaluation and assessment for e-learning training. The search strings combined the concepts of e-learning, public health, and health science education, along with evaluation and frameworks. After the initial search, a screening process will be carried out to determine the relevance of the identified studies to the research question. Data related to the characteristics of the included studies, the characteristics of the e-learning technology used in the studies, and the study outcomes will be extracted from the eligible articles. The extracted data will then undergo a structured, descriptive, quantitative, and qualitative content analysis to synthesize the information from the selected studies. RESULTS:  Initial database searches yielded a total of 980 results. Duplicates have been removed, and title and abstract screening of the 805 remaining extracted articles are underway. Quantitative and qualitative findings from the reviewed articles will be presented to answer the study objective. CONCLUSIONS: This scoping review will provide global and public health educators with a comprehensive overview of the current state of e-learning evaluation. By identifying existing e-learning frameworks and tools, the findings will offer valuable guidance for further advancements in global and public health e-learning evaluation. The study will also enable the creation of a comprehensive, evidence-based e-learning evaluation framework and tools, which will improve the quality and accountability of global health and public health education. Ultimately, this will contribute to better health outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/49955.

Predicting return to work after traumatic brain injury using machine learning and administrative data.

BACKGROUND: Accurate patient-specific predictions on return-to-work after traumatic brain injury (TBI) can support both clinical practice and policymaking. The use of machine learning on large administrative data provides interesting opportunities to create such prognostic models. AIM: The current study assesses whether return-to-work one year after TBI can be predicted accurately from administrative data. Additionally, this study explores how model performance and feature importance change depending on whether a distinction is made between mild and moderate-to-severe TBI. METHODS: This study used a population-based dataset that combined discharge, claims and social security data of patients hospitalized with a TBI in Belgium during the year 2016. The prediction of TBI was attempted with three algorithms, elastic net logistic regression, random forest and gradient boosting and compared in their performance by their accuracy, sensitivity, specificity and area under the receiver operator curve (ROC AUC). RESULTS: The distinct modelling algorithms resulted in similar results, with 83% accuracy (ROC AUC 85%) for a binary classification of employed vs. not employed and up to 76% (ROC AUC 82%) for a multiclass operationalization of employment outcome. Modelling mild and moderate-to-severe TBI separately did not result in considerable differences in model performance and feature importance. The features of main importance for return-to-work prediction were related to pre-injury employment. DISCUSSION: While clearly offering some information beneficial for predicting return-to-work, administrative data needs to be supplemented with additional information to allow further improvement of patient-specific prognose.

Mobile Medical Teams are Often Over-Qualified.

BACKGROUND AND IMPORTANCE: Emergency department (ED) staff in Belgium is simultaneously involved in patient care in the ED and in prehospital interventions as part of a Mobile Medical Team (MMT) or a Paramedic Intervention Team (PIT). There is a growing concern that the MMT is often over-qualified for the prehospital interventions they are dispatched to, while their absence from the ED results in insufficient human resources there. OBJECTIVE: The current study aims to investigate whether this perception is correct in the EDs of two different regions, while also examining the differences between a two-tiered (2T) and a three-tiered (3T) Emergency Medical Services (EMS) region. METHODS: A specially developed and pre-tested registration form was completed by physicians and nurses before and after each MMT intervention. The form included information on the composition of the MMT, the perceived need for MMT intervention pre-departure from the ED, the subjective appreciation of the need for the MMT after an intervention, and the therapeutic intervention(s) performed, in order to obtain a more objective appreciation of the actual need for an MMT. Data from a 2T and a 3T region were analyzed to rate the appropriateness of the interventions. RESULTS: Although the 2T and 3T regions showed differences regarding MMT composition, dispatching, and logistics, the outcome of the study was identical in both regions. Before the intervention, physicians and nurses estimated that the MMT intervention would not be necessary in 37.7% of cases. However, following the intervention, it was subjectively deemed unnecessary in 65.7% of cases. Based on therapeutic interventions performed, the MMT was viewed as being over-qualified for carrying these out in 85.6% of cases. Post-intervention, the initial prediction that the MMT was over-qualified for the call was confirmed by the same physicians and nurses in 87.6% of cases, whilst their prediction was correct in 92.8% of cases in terms of the intervention that was carried out. CONCLUSION: In two different Belgian regions, the MMT is over-qualified in a vast majority of interventions. Physicians and nurses within the MMT can generally already predict that the MMT is over-qualified when leaving the ED. These findings suggest that there may be significant opportunities to improve the efficacy of human resources in the ED once there are less interventions carried out by an over-qualified MMT.

Team Dynamics and Nontechnical Skills Perception During the Disaster Response in Mozambique in 2019: A Survey Study Among the Italian Emergency Medical Team.

OBJECTIVE: Team dynamics and nontechnical skills in general are crucial for emergency medical teams (EMT). No study has ever examined these important issues during a real mission in the field. This study aimed to better investigate team dynamics and nontechnical skills for EMTs; it tried to understand if a real mission, when the people are obliged to work together for the first time, without a prior specific training focused on teamwork, is enough or not to work as an effective team in the field. METHODS: The study is designed as a pre-test/post-test survey study, and it collected data from 51 people deployed to Mozambique in 2019. Three indexes (the self-efficacy (SE), the teamwork (TW), and the overall team's performance (TW12)) were calculated as the average value of the rating given by all the participants. Open text feedback was also collected. RESULTS: A positive trend was observed comparing the "post" data to the "pre" data, but results did not show a statistical significance, with the only exception of stratified analyses showing a P-value less than 0.05 for SE and TW12 for some categories. CONCLUSIONS: According to the study findings, humanitarian workers feel good but not at their best; training programs focused on team dynamics can be really useful to improve self-confidence of people leaving for a mission.

Prehospital Emergency Care in Low- and Middle-Income Countries: A Systematic Review.

BACKGROUND: An under-developed and fragmented prehospital Emergency Medical Services (EMS) system is a major obstacle to the timely care of emergency patients. Insufficient emphasis on prehospital emergency systems in low- and middle-income countries (LMICs) currently causes a substantial number of avoidable deaths from time-sensitive illnesses, highlighting a critical need for improved prehospital emergency care systems. Therefore, this systematic review aimed to assess the prehospital emergency care services across LMICs. METHODS: This systematic review used four electronic databases, namely: PubMed/MEDLINE, CINAHL, EMBASE, and SCOPUS, to search for published reports on prehospital emergency medical care in LMICs. Only peer-reviewed studies published in English language from January 1, 2010 through November 1, 2022 were included in the review. The Newcastle-Ottawa Scale (NOS) and Critical Appraisal Skills Programme (CASP) checklist were used to assess the methodological quality of the included studies. Further, the protocol of this systematic review has been registered on the International Prospective Register of Systematic Reviews (PROSPERO) database (Ref: CRD42022371936) and has been conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS: Of the 4,909 identified studies, a total of 87 studies met the inclusion criteria and were therefore included in the review. Prehospital emergency care structure, transport care, prehospital times, health outcomes, quality of information exchange, and patient satisfaction were the most reported outcomes in the considered studies. CONCLUSIONS: The prehospital care system in LMICs is fragmented and uncoordinated, lacking trained medical personnel and first responders, inadequate basic materials, and substandard infrastructure.

Creating realistic nerve agent victim profiles for computer simulation of medical CBRN disaster response.

In the last decades, Chemical, Biological, Radiological and Nuclear (CBRN) threats have become serious risks prompting countries to prioritize preparedness for such incidents. As CBRN scenarios are very difficult and expensive to recreate in real life, computer simulation is particularly suited for assessing the effectiveness of contingency plans and identifying areas of improvement. These computer simulation exercises require realistic and dynamic victim profiles, which are unavailable in a civilian context. In this paper we present a set of civilian nerve agent injury profiles consisting of clinical parameters and their evolution, as well as the methodology used to create them. These injury profiles are based on military injury profiles and adapted to the civilian population, using sarin for the purpose of illustration. They include commonly measured parameters in the prehospital setting. We demonstrate that information found in military sources can easily be adjusted for a civilian population using a few simple assumptions and validated methods. This methodology can easily be expanded to other chemical warfare agents as well as different ways of exposure. The resulting injury profiles are generic so they can also be used in tabletop and live simulation exercises. Modeling and simulation, if used correctly and in conjunction with empirical data gathered from lessons learned, can assist in providing the evidence practices for effective and efficient response decisions and interventions, considering the contextual factors of the affected area and the specific disaster scenario.

Development of an Anticipatory Triage-Ranking Algorithm Using Dynamic Simulation of the Expected Time Course of Patients With Trauma: Modeling and Simulation Study.

BACKGROUND: In cases of terrorism, disasters, or mass casualty incidents, far-reaching life-and-death decisions about prioritizing patients are currently made using triage algorithms that focus solely on the patient's current health status rather than their prognosis, thus leaving a fatal gap of patients who are under- or overtriaged. OBJECTIVE: The aim of this proof-of-concept study is to demonstrate a novel approach for triage that no longer classifies patients into triage categories but ranks their urgency according to the anticipated survival time without intervention. Using this approach, we aim to improve the prioritization of casualties by respecting individual injury patterns and vital signs, survival likelihoods, and the availability of rescue resources. METHODS: We designed a mathematical model that allows dynamic simulation of the time course of a patient's vital parameters, depending on individual baseline vital signs and injury severity. The 2 variables were integrated using the well-established Revised Trauma Score (RTS) and the New Injury Severity Score (NISS). An artificial patient database of unique patients with trauma (N=82,277) was then generated and used for analysis of the time course modeling and triage classification. Comparative performance analysis of different triage algorithms was performed. In addition, we applied a sophisticated, state-of-the-art clustering method using the Gower distance to visualize patient cohorts at risk for mistriage. RESULTS: The proposed triage algorithm realistically modeled the time course of a patient's life, depending on injury severity and current vital parameters. Different casualties were ranked by their anticipated time course, reflecting their priority for treatment. Regarding the identification of patients at risk for mistriage, the model outperformed the Simple Triage And Rapid Treatment's triage algorithm but also exclusive stratification by the RTS or the NISS. Multidimensional analysis separated patients with similar patterns of injuries and vital parameters into clusters with different triage classifications. In this large-scale analysis, our algorithm confirmed the previously mentioned conclusions during simulation and descriptive analysis and underlined the significance of this novel approach to triage. CONCLUSIONS: The findings of this study suggest the feasibility and relevance of our model, which is unique in terms of its ranking system, prognosis outline, and time course anticipation. The proposed triage-ranking algorithm could offer an innovative triage method with a wide range of applications in prehospital, disaster, and emergency medicine, as well as simulation and research.

The Role of Serotonergic and Noradrenergic Descending Pathways on Performance-Based Cognitive Functioning at Rest and in Response to Exercise in People with Chronic Whiplash-Associated Disorders: A Randomized Controlled Crossover Study.

(1) Background: Dysregulation in serotonergic and noradrenergic systems may be implicated in the neurobiophysiological mechanisms underlying pain-related cognitive impairment in chronic whiplash-associated disorders (CWAD). This study aimed to unravel the role of serotonergic and noradrenergic descending pathways in cognitive functioning at rest and in response to exercise in people with CWAD. (2) Methods: 25 people with CWAD were included in this double-blind, randomized, controlled crossover study. Endogenous descending serotonergic and noradrenergic inhibitory mechanisms were modulated by using a single dose of a selective serotonin reuptake inhibitor (Citalopram) or a selective norepinephrine reuptake inhibitor (Atomoxetine). Cognitive performance was studied at rest and in response to exercise (1) without medication intake; (2) after intake of Citalopram; and (3) after intake of Atomoxetine. (3) Results: After Atomoxetine intake, selective attention improved compared with the no medication day (p < 0.05). In contrast, a single dose of Citalopram had no significant effect on cognitive functioning at rest. When performing pairwise comparisons, improvements in selective attention were found after exercise for the no medication condition (p < 0.05). In contrast, after intake of Citalopram or Atomoxetine, selective and sustained attention worsened after exercise. (4) Conclusions: A single dose of Atomoxetine improved selective attention only in one Stroop condition, and a single dose of Citalopram had no effect on cognitive functioning at rest in people with CWAD. Only without medication intake did selective attention improve in response to exercise, whereas both centrally acting medications worsened cognitive performance in response to a submaximal aerobic exercise bout in people with CWAD.

The Challenge of Mass Casualty Incident Response Simulation Exercise Design and Creation: A Modified Delphi Study.

BACKGROUND: A Mass Casualty Incident response (MCI) full scale exercise (FSEx) assures MCI first responder (FR) competencies. Simulation and serious gaming platforms (Simulation) have been considered to achieve and maintain FR competencies. The translational science (TS) T0 question was asked: how can FRs achieve similar MCI competencies as a FSEx through the use of MCI simulation exercises? METHODS: T1 stage (Scoping Review): PRISMA-ScR was conducted to develop statements for the T2 stage modified Delphi (mD) study. 1320 reference titles and abstracts were reviewed with 215 full articles progressing for full review leading to 97 undergoing data extraction.T2 stage (mD study): Selected experts were presented with 27 statements derived from T1 data with instruction to rank each statement on a 7-point linear numeric scale, where 1 = disagree and 7 = agree. Consensus amongst experts was defined as a standard deviation ≤ 1.0. RESULTS: After 3 mD rounds, 19 statements attained consensus and 8 did not attain consensus. CONCLUSIONS: MCI simulation exercises can be developed to achieve similar competencies as FSEx by incorporating the 19 statements that attained consensus through the TS stages of a scoping review (T1) and mD study (T2), and continuing to T3 implementation, and then T4 evaluation stages.

Relationship between intensive care surge capacity and hospital factors: an extensive experience.

As a prolonged surge scenario, the COVID-19 pandemic has offered an unparalleled opportunity to improve hospital surge capacity (SC) understanding and the ability to manage it. In this study, the authors report the experience of a large hospital network and evaluate potential relationships between Intensive Care Units SC (ICU-SC) and some hospital-related variables: bed occupancy, emergency department admissions, ward admission from ED, and elective surgery procedures. Pearson's partial correlation coefficient (r) has been used to define the relationship between SC and the daily values of the above variables, collected through a dedicated digital platform that also ensured a regular quality check of the data. The observation has concerned several levels of analysis, namely two different types of SC calculation (SC base-SCb and SC actual-SCa), hospital category level and multi-hospital level, and two consecutive pandemic waves. Among the 16 hospitals observed, the correlation was shown to be moderate-positive with non-ICU bed occupancy (r/ = 0.62, r/ = 0.54), strong/moderate with ICU bed occupancy (r/ = 0.72, r/ = 0.54), and moderate with ward admissions from ED (r/ = 0.50, r/ = 0.51) On the contrary, the correlation proved to be moderate-negative with ED admissions (r/ = - 0.69, r/ = - 0.62) and low with the number of elective surgery procedures (r/ = - 0.10, r/ = - 0.16). This study identified a positive correlation between SC and three variables monitored: ICU bed occupancy, non-ICU bed occupancy, and ward admissions from ED. On the contrary, the correlation was negative for ED admission and the number of elective surgery procedures. The results have been confirmed across all levels of analysis adopted.

The Impact of In-Event Health Services at Europe's Largest Electronic Dance Music Festival on Ems and Ed in the Host Community.

BACKGROUND: Electronic dance music festivals (EDMF) can cause a significant disruption in the standard operational capacity of emergency medical services (EMS) and hospitals. We determined whether or not the presence of in-event health services (IEHS) can reduce the impact of Europe's largest EDMF on the host community EMS and local emergency departments (EDs). METHODS: We conducted a pre-post analysis of the impact of Europe's largest EDMF in July 2019, in Boom, Belgium, on the host community EMS and local EDs. Statistical analysis included descriptive statistics, independent t-tests, and χ2 analysis. RESULTS: Of 400,000 attendees, 12,451 presented to IEHS. Most patients only required in-event first aid, but 120 patients had a potentially life-threatening condition. One hundred fifty-two patients needed to be transported by IEHS to nearby hospitals, resulting in a transport-to-hospital rate of 0.38/1000 attendees. Eighteen patients remained admitted to the hospital for >24 h; one died after arrival in the ED. IEHS limited the overall impact of the MGE on regular EMS and nearby hospitals. No predictive model proved optimal when proposing the optimal number and level of IEHS members. CONCLUSIONS: This study shows that IEHS at this event limited ambulance usage and mitigated the event's impact on regular emergency medical and health services.

Interception of chronic medication discrepancies by the clinical pharmacist in the emergency department.

The emergency department (ED) is a high-risk setting for the occurrence of medication discrepancies (MDs) due to inconsistencies between real and documented chronic medication therapies. A clinical pharmacist (CP) improves medication safety by performing a structured medication reconciliation on ED admission. The main objective was to identify the frequency and type of MDs in the chronic medication therapy by comparing the medication displayed in the home medication module of the electronic medical record and in the genereal practitioner's (GP) referral letter with the best possible medication history by performing a structured medication reconciliation on ED admission. This prospective, monocentric, interventional study was carried out in the ED of a tertiary care university hospital in Brussels, Belgium. Inclusion criteria were patients of at least 65 years, polypharmacy, ED admission between 8 a.m. and 4 p.m. on weekdays, hospitalization and signed informed consent. During 24 days, a CP performed a structured medication reconciliation in order to obtain the best possible medication history and registered all MDs. The CP compared the best possible medication history with the home medication module and the GP's referral letter and registered the different types of MDs. Eighty-three patients were included. The median number of medications in the home medication module and the best possible medication history was significantly different {7.0 [interquartile range (IQR), 5.0-11.0] vs. 8.0 (IQR, 6.0-11.0)/patient; P < 0.0001} with a median of 5.0 (IQR, 3.0-8.0) MDs per patient. Main MDs were omission (38.8%), addition (18.4%) and a deviant administration time (15.2%). Only 22.9% of patients ( N = 19) had a GP's referral letter containing their chronic medication therapy. The median number of medications in the GP's referral letter and the best possible medication history were significantly different [6.0 (IQR, 4.0-9.0) vs. 8.0 (IQR, 7.0-11.0)/patient; P < 0.0001] with a median of 6.0 (IQR, 5.0-11.0) MDs per patient. Main MDs were omissions (39.9%), deviant frequencies (35.3%) and doses (16.7%). A CP, integrated in a multidisciplinary ED team, enhances medication safety by intercepting MDs on ED admission. Few patients possess a GP's referral letter containing their chronic medication therapy and when they do, the accuracy and completeness are poor.

Mental health and psychosocial support during physical rehabilitation in Eastern Democratic Republic of Congo: a retrospective cohort study.

PURPOSE: This study explores the relevance of integrating mental health and psychosocial support (MHPSS) into physical rehabilitation services in conflict settings. MATERIAL AND METHODS: Symptoms of psychological distress and daily functioning of 132 physical rehabilitation service users in Eastern Democratic Republic of Congo were assessed before and after MHPSS. Logistical regression models were used to identify factors associated with these symptoms. RESULTS: Prior to receiving MHPSS, "extreme" symptoms of depression were reported by 64% of the service users. Amputation predicted high levels of depression (aOR 5.12, p = 0.021), anxiety (aOR 7.09, p = 0.004) and stress (aOR 3.37, p = 0.035), while having witnessed violence predicted high symptoms of stress (aOR 3.65, p = 0.014). Lack of social support was associated with high symptoms of stress prior to MHPSS (aOR 3.17, p = 0.046) as well as a large reduction in symptoms of depression following MHPSS (aOR 3.91, p = 0.019). Most physical rehabilitation service users reported a reduction in symptoms of depression (100.00%), anxiety (98.03%) and stress (100.00%) along with improved functioning (81.13%) after MHPSS. CONCLUSION: MHPSS needs of physical rehabilitation service users in conflict settings stem from the combined impact of disability and exposure to violence. MHPSS care, particularly the mobilization of peer support, appears necessary and relevant.Implications for rehabilitationIn conflict settings, mental health and psychosocial support (MHPSS) needs of physical rehabilitation service users must address the combined impact of physical disability and exposure to violence.Physical rehabilitation service users who lacked social support prior to receiving MHPSS were more likely to report a large reduction in symptoms of depression following MHPSS.The study underlines the importance of social support, particularly peer support, in addressing MHPSS needs.

Development and validation of an audit tool for fluid management in non-critically ill adults in the emergency department.

Especially in the emergency department (ED), it is critical to identify weaknesses in prescribing behavior of IV maintenance fluids to ensure a qualitative 24-h fluid management plan. The primary aim of this study was to develop an audit instrument to assess the pitfalls in documentation and prescribing habits of IV fluid therapy for non-critically ill patients admitted to the ED. In this study, an expert panel initially designed the tool. During different phases, adaptations were made to optimize inter-rater agreement (Fleiss' kappa, κ) and validity was determined based on the application of the tool on randomly selected electronic ED patient records. Second, the IV fluid prescription's appropriateness was addressed. The final tool consists of three parts: fluid status assessment, evaluation of maintenance fluid needs and, if present, a limited appropriateness check of the fluid prescription. A manual enhanced inter-rater agreement. κ-values achieved the target value (0.40) after three adaptation rounds, except for the category of 'clinical observations' in the assessment part (κ = 0.531, 95% CI 0.528-0.534), which was acceptable. A check of the IV fluid's indication and volume was only possible with an additional expert evaluation to conclude on prescription appropriateness. Criterion related validity of the final version was high (93.4%). To conclude, the instrument is considered reliable and can be used in clinical practice to evaluate ED fluid management. Thorough documentation is essential to evaluate the appropriateness of the IV fluid prescription, to improve information transfer on IV fluid therapy to the ward and to facilitate retrospective chart review of ED prescribing behavior.