Recommendations for blood sampling in emergency departments from the European Society for Emergency Medicine (EUSEM), European Society for Emergency Nursing (EuSEN), and European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase. Executive summary.

AIM: Blood Sampling Guidelines have been developed to target European emergency medicine-related professionals involved in the blood sampling process (e.g. physicians, nurses, phlebotomists working in the ED), as well as laboratory physicians and other related professionals. The guidelines population focus on adult patients. The development of these blood sampling guidelines for the ED setting is based on the collaboration of three European scientific societies that have a role to play in the preanalytical phase process: EuSEN, EFLM, and EUSEM. The elaboration of the questions was done using the PICO procedure, literature search and appraisal was based on the GRADE methodology. The final recommendations were reviewed by an international multidisciplinary external review group. RESULTS: The document includes the elaborated recommendations for the selected sixteen questions. Three in pre-sampling, eight regarding sampling, three post-sampling, and two focus on quality assurance. In general, the quality of the evidence is very low, and the strength of the recommendation in all the questions has been rated as weak. The working group in four questions elaborate the recommendations, based mainly on group experience, rating as good practice. CONCLUSIONS: The multidisciplinary working group was considered one of the major contributors to this guideline. The lack of quality information highlights the need for research in this area of the patient care process. The peculiarities of the emergency medical areas need specific considerations to minimise the possibility of errors in the preanalytical phase.

The preanalytical process in the emergency department, a European survey.

OBJECTIVES: Clinical decision-making in emergency medicine is under constant pressure from demand and performance requirements, with blood tests being a fundamental part of this. However, the preanalytical process has received little attention. Therefore, this study aimed to investigate the quality of preanalytical phase processes in European emergency departments (EDs) from the perspectives of the three main providers: clinicians, nurses, and laboratory specialists. METHODS: This online survey, distributed among European EDs and laboratories, was supported by the European Society for Emergency Nursing (EUSEN), European Society for Emergency Medicine (EuSEM), and the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). The size of the centres, the European region, the responder's profession and the country's economic condition were used as co-variables. RESULTS: We included 376 responses from all ED-related professions from 306 European centres. In 66.9% of all ED visits, at least one blood test was performed. Tests were requested mostly by nurses (44.6%) using electronic Order/Entry systems (65.4%). Only a minority (19%) reported not using laboratory quality indicators (QIs). Most responders defined the TAT starting point "when the laboratory receives the sample" (66.1%), defining the goal to be "less than 60 min" (69.9%), but only 42.4% of the centres estimated achieving this goal. CONCLUSIONS: Our survey illustrates the current situation on preanalytical blood sample processing in European EDs from the clinical and laboratory perspectives. The results emphasise the importance of the IT infrastructure and QI usage in this process and highlight some differences between European regions.

The Incremental Hospitalization Cost of Significant Transport-Related Traumatic Brain Injury.

AIM: This study aims to determine the incremental cost of acute hospitalization for traumatic brain injury (TBI) compared with matched controls. A second purpose is to identify the factors contributing to this hospital costs. METHODOLOGY: Analyses were performed on administrative data for injured patients, hospitalized in Belgium between 2009 and 2011 following a road traffic accident. Cases were matched to a control with similar injuries but without TBI. The incremental hospitalization cost of TBI and the factors contributing to the hospital costs were determined using multivariable regression modeling with gamma distribution and log link. RESULTS: A descriptive comparison of cases and controls shows clear differences in healthcare utilization and costs. The presence of a TBI increases the cost by a factor between 1.66 (95% confidence interval: 1.52-1.82) and 2.08 (95% confidence interval: 1.72-2.51). Regarding healthcare utilization, the most important determinants of hospital costs are surgical complexity, use of magnetic resonance imaging, intensive care unit admission, and mechanical ventilation. DISCUSSION: To our knowledge, this is the first matched-control study calculating the incremental hospitalization cost of TBI. The insights provided by this study are relevant in the context of prospective payments and can be an incentive for investments in prevention policies and extramural care.

The incremental cost of traumatic brain injury during the first year after a road traffic accident.

This study aims to determine the incremental cost of TBI during the first year after a traffic accident, compared to other patients with similar non-TBI injuries. Secondly, identification of factors associated with medical costs of TBI is pursued. Analyses were performed on administrative data for traffic victims hospitalised in Belgium between 2009 and 2011. Medical costs attributable to the accident are estimated over one year post-injury. Cases with TBI were matched to controls with similar non-TBI injuries to determine the incremental cost of TBI. Both aims of this research were assessed using regression analysis. The incremental cost of TBI is estimated to range between € 10 042 (95%CI [€8198; €11 887]) and €21 715 (95%CI [€13 5889; €29 540]). Age, problems with self-reliance, survival status, the occurrence of acute events and severity of TBI are significant predictors of medical costs. As to healthcare utilisation, MRI usage, inpatient rehabilitation facilities, nursing homes and readmissions to acute hospital stand out as having most influence on costs. This study reveals a considerable incremental cost of TBI. Policy-making bodies should be made aware of this phenomenon and a diversified policy should be considered when financing programs are discussed.

Validation of a Belgian Prediction Model for Patient Encounters at Football Mass Gatherings.

BACKGROUND: To validate the Belgian Plan Risk Manifestations (PRIMA) model, actual patient presentation rates (PPRs) from Belgium's largest football stadium were compared with predictions provided by existing models and the Belgian PRIMA model. METHODS: Actual patient presentations gathered from 41 football games (2010-2019) played at the King Baudouin Stadium (Brussels, Belgium) were compared with predictions by existing models and the PRIMA model. All attendees who sought medical help from in-event health services (IEHS) in the stadium or called 1-1-2 within the closed perimeter around the stadium were included. Data were analyzed by ANOVA, Pearson correlation tests, and Wilcoxon singed-rank test. RESULTS: A total of 1,630,549 people attended the matches, with 626 people needing first aid. Both the PRIMA and the Hartman model over-estimated the number of patient encounters for each occasion. The Arbon model under-estimated patient encounters for 9.75% (95% CI, 0.49-19.01) of the events. When comparing deviations in predictions between the PRIMA model to the other models, there was a significant difference in the mean deviation (Arbon: Z = -5.566, P <.001, r = -.61; Hartman: Z = -4.245, P <.001, r = .47). CONCLUSION: When comparing the predicted patient encounters, only the Arbon model under-predicted patient presentations, but the Hartman and the PRIMA models consistently over-predicted. Because of continuous over-prediction, the PRIMA model showed significant differences in mean deviation of predicted PPR. The results of this study suggest that the PRIMA model can be used during planning for domestic and international football matches played at the King Baudouin Stadium, but more data and further research are needed.

Health care utilization after hospitalization following a road traffic accident.

Purpose: In recent years, there has been an increasing interest in measuring and modeling health care utilization. However, only limited research has been performed in the field of health care utilization following road traffic accidents. This article aims to measure the incremental health care utilization after hospital discharge after a road traffic accident and explore the association between socio-demographic and injury-related variables and health care utilization.Material and methods: Generalized linear models with negative binomial distribution and log-link were executed per type of health care provider (general practitioner, medical specialists, rehabilitation services and outpatient nursing care) and per type of discharge location (discharged to home, discharged to in-hospital rehabilitation). Health care utilization of the 6 months after discharge was compared with the 6 months before the accident (baseline care).Results: Health care utilization six months after discharge is significantly higher than baseline care, except for outpatient nursing care and general practitioners in in-hospital rehabilitation. The increase in visits to medical specialists ranged on average between 1 and 2.2 visits. For general practitioner, there was an increase of 0.4 visits and 0.8 in outpatient nursing care for those who returned home after acute hospitalization. The average increase in rehabilitation services ranged between 3.6 and 20. Associated influential factors differ per health care provider and discharge destination.Conclusion: Evidence of this study suggests higher health care utilization during the first 6 months following hospitalization due to a road traffic injury, compared with baseline care. Associated variables differ per type of health care provider and discharge-destination. More in-depth research on subgroups is needed.Implications for rehabilitationHealth care utilization varies across different patient characteristics and type of injuries which should be considered in the communication with patients on their care trajectory post-discharge.General descriptions of health care utilization in traffic victims at the population level are lacking. Output similar to our study could serve as a reference for post-discharge care planning.The research output can be a starting point for future research on quality indicators of the expected quantity of care.Efforts must be made to estimate suchlike reference tables on post-discharge services in other patient groups and secondary data are a suitable data-source for those analyses.

European first aid guidelines.

AIM: Our objectives were to determine the most effective, safe, and feasible first aid (FA) techniques and procedures, and to formulate valid recommendations for training. We focussed on emergencies involving few casualties, where emergency medical services or healthcare professionals are not immediately present at the scene, but are available within a short space of time. Due to time and resource constraints, we limited ourselves to safety, emergency removal, psychosocial FA, traumatology, and poisoning. Cardiopulmonary resuscitation (CPR) was not included because guidelines are already available from the European Resuscitation Council (ERC). The FA guidelines are intended to provide guidance to authors of FA handbooks and those responsible for FA programmes. These guidelines, together with the ERC resuscitation guidelines, will be integrated into a European FA Reference Guide and a European FA Manual. METHODS: To create these guidelines we used an evidence-based guideline development process, based on the methodology of the Scottish Intercollegiate Guidelines Network (SIGN). RESULTS: The recommendations cover FA for bleeding, wounds, burns, spinal and head trauma, musculoskeletal trauma, and poisoning, as well as safety and psychosocial FA. CONCLUSIONS: Where good evidence was available, we were able to turn science into practice. Where evidence was lacking, the recommendations were consensus-based. These guidelines provide systematically developed recommendations and justifications for the procedures and techniques that should be included in FA manuals and training programmes.

Time Gain Needed for In-Ambulance Telemedicine: Cost-Utility Model.

BACKGROUND: Stroke is a very time-sensitive pathology, and many new solutions target the optimization of prehospital stroke care to improve the stroke management process. In-ambulance telemedicine, defined by live bidirectional audio-video between a patient and a neurologist in a moving ambulance and the automated transfer of vital parameters, is a promising new approach to speed up and improve the quality of acute stroke care. Currently, no evidence exists on the cost effectiveness of in-ambulance telemedicine. OBJECTIVE: We aim to develop a first cost effectiveness model for in-ambulance telemedicine and use this model to estimate the time savings needed before in-ambulance telemedicine becomes cost effective. METHODS: Current standard stroke care is compared with current standard stroke care supplemented with in-ambulance telemedicine using a cost-utility model measuring costs and quality-adjusted life-years (QALYs) from a health care perspective. We combine a decision tree with a Markov model. Data from the UZ Brussel Stroke Registry (2282 stroke patients) and linked hospital claims data at individual level are combined with literature data to populate the model. A 2-way sensitivity analysis varying both implementation costs and time gain is performed to map the different cost-effective combinations and identify the time gain needed for cost effectiveness and dominance. For several modeled time gains, the cost-effectiveness acceptability curve is calculated and mapped in 1 figure. RESULTS: Under the base-case scenario (implementation cost of US $159,425) and taking a lifetime horizon into account, in-ambulance telemedicine is a cost-effective strategy compared to standard stroke care alone starting from a time gain of 6 minutes. After 12 minutes, in-ambulance telemedicine becomes dominant, and this results in a mean decrease of costs by US -$30 (95% CI -$32 to -$29) per patient with 0.00456 (95% CI 0.00448 to 0.00463) QALYs on average gained per patient. In over 82% of all probabilistic simulations, in-ambulance telemedicine remains under the cost-effectiveness threshold of US $47,747. CONCLUSIONS: Our model suggests that in-ambulance telemedicine can be cost effective starting from a time gain of 6 minutes and becomes a dominant strategy after approximately 15 minutes. This indicates that in-ambulance telemedicine has the potential to become a cost-effective intervention assuming time gains in clinical implementations are realized in the future.

Predicting in-hospital mortality of traffic victims: A comparison between AIS-and ICD-9-CM-related injury severity scales when only ICD-9-CM is reported.

BACKGROUND AND AIM: Injury severity scores are important in the context of developing European and national goals on traffic safety, health-care benchmarking and improving patient communication. Various severity scores are available and are mostly based on Abbreviated Injury Scale (AIS) or International Classification of Diseases (ICD). The aim of this paper is to compare the predictive value for in-hospital mortality between the various severity scores if only International Classification of Diseases, 9th revision, Clinical Modification ICD-9-CM is reported. METHODOLOGY: To estimate severity scores based on the AIS lexicon, ICD-9-CM codes were converted with ICD Programmes for Injury Categorization (ICDPIC) and four AIS-based severity scores were derived: Maximum AIS (MaxAIS), Injury Severity Score (ISS), New Injury Severity Score (NISS) and Exponential Injury Severity Score (EISS). Based on ICD-9-CM, six severity scores were calculated. Determined by the number of injuries taken into account and the means by which survival risk ratios (SRRs) were calculated, four different approaches were used to calculate the ICD-9-based Injury Severity Scores (ICISS). The Trauma Mortality Prediction Model (TMPM) was calculated with the ICD-9-CM-based model averaged regression coefficients (MARC) for both the single worst injury and multiple injuries. Severity scores were compared via model discrimination and calibration. Model comparisons were performed separately for the severity scores based on the single worst injury and multiple injuries. RESULTS: For ICD-9-based scales, estimation of area under the receiver operating characteristic curve (AUROC) ranges between 0.94 and 0.96, while AIS-based scales range between 0.72 and 0.76, respectively. The intercept in the calibration plots is not significantly different from 0 for MaxAIS, ICISS and TMPM. DISCUSSION: When only ICD-9-CM codes are reported, ICD-9-CM-based severity scores perform better than severity scores based on the conversion to AIS.

Feasibility of AmbulanCe-Based Telemedicine (FACT) study: safety, feasibility and reliability of third generation in-ambulance telemedicine.

BACKGROUND: Telemedicine is currently mainly applied as an in-hospital service, but this technology also holds potential to improve emergency care in the prehospital arena. We report on the safety, feasibility and reliability of in-ambulance teleconsultation using a telemedicine system of the third generation. METHODS: A routine ambulance was equipped with a system for real-time bidirectional audio-video communication, automated transmission of vital parameters, glycemia and electronic patient identification. All patients ( ≥ 18 years) transported during emergency missions by a Prehospital Intervention Team of the Universitair Ziekenhuis Brussel were eligible for inclusion. To guarantee mobility and to facilitate 24/7 availability, the teleconsultants used lightweight laptop computers to access a dedicated telemedicine platform, which also provided functionalities for neurological assessment, electronic reporting and prehospital notification of the in-hospital team. Key registrations included any safety issue, mobile connectivity, communication of patient information, audiovisual quality, user-friendliness and accuracy of the prehospital diagnosis. RESULTS: Prehospital teleconsultation was obtained in 41 out of 43 cases (95.3%). The success rates for communication of blood pressure, heart rate, blood oxygen saturation, glycemia, and electronic patient identification were 78.7%, 84.8%, 80.6%, 64.0%, and 84.2%. A preliminary prehospital diagnosis was formulated in 90.2%, with satisfactory agreement with final in-hospital diagnoses. Communication of a prehospital report to the in-hospital team was successful in 94.7% and prenotification of the in-hospital team via SMS in 90.2%. Failures resulted mainly from limited mobile connectivity and to a lesser extent from software, hardware or human error. The user acceptance was high. CONCLUSIONS: Ambulance-based telemedicine of the third generation is safe, feasible and reliable but further research and development, especially with regard to high speed broadband access, is needed before this approach can be implemented in daily practice.