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.

Biomarker S100B in plasma a screening tool for mild traumatic brain injury in an emergency department.

INTRODUCTION: A computerized tomography (CT) scan is an effective test for detecting traumatic intracranial findings after mild traumatic brain injury (mTBI). However, a head CT is costly, and can only be performed in a hospital. OBJECTIVE: To determine if the addition of plasma S100B to clinical guidelines could lead to a more selective scanning strategy without compromising safety. METHODS: We conducted a single center prospective cohort study at the emergency department. Patients (≥16 years) who received head CT and had a blood draw were included. The primary outcome was the accuracy of plasma S100B to predict the presence of any traumatic intracranial lesion on head CT. RESULTS: We included 495 patients, out of the 74 patients who had traumatic intracranial lesions, 5 patients had a plasma S100B level below the cutoff value of 0.105 ug/L. For the detection of traumatic intracranial injury, S100B had a sensitivity of 0.932 , a specificity of 0.157, a negative predictive value of 0.930, and a positive predictive value of 0.163. CONCLUSIONS: Among patients undergoing guideline-based CT scan for mTBI, the use of S100B, would results in a further decrease (14.8%) of CT scans but at a cost of missed injury, without clinical consequence, on CT.

Evaluation of a flexible acute admission unit: effects on transfers to other hospitals and patient throughput times.

INTRODUCTION: To prevent overcrowding of the emergency department, a flexible acute admission unit (FAAU) was created, consisting of 15 inpatient regular beds located in different departments. We expected the FAAU to result in fewer transfers to other hospitals and in a lower length of stay (LOS) of patients needing hospital admission. METHODS: A before-and-after interventional study was performed in a level 1 trauma center in the Netherlands. Number of transfers and LOS of admitted ED patients in a 4-month period in 2008 (control period) and a 4-month period in 2009 (intervention period) were analyzed. RESULTS: Of 1,619 regular admission patients, 768 were admitted in the control period and 851 in the intervention period. The number of transfers decreased from 80 (10.42%) to 54 (6.35%) (P = .0037). The mean ED LOS of both the non-admitted patients and the admitted patients needing special care significantly increased (105 minutes vs 117 minutes [P = .022] and 176 minutes vs 191 minutes [P < .001], respectively). However, the mean LOS of FAAU-admissible patients was unaltered (226 minutes vs 225 minutes, P = .865). CONCLUSIONS: The FAAU reduced the number of transfers of admitted patients to other hospitals. The increase in LOS for special care patients and non-admitted patients was not observed for regular, FAAU-admissible patients. Flexible bed management might be useful in preventing overcrowding.

Refining a triage system for use in emergency departments.

This article reports on the implementation of an adapted version of the Manchester triage system (Mackway-Jones et al 1997) in a Dutch hospital to allow trained nurse practitioners to treat patients with minor injuries or illnesses, and to assess, treat and discharge patients autonomously. The project has helped to prevent long waits in emergency departments for patients with less urgent conditions.

Diagnostic accuracy of emergency nurse practitioners versus physicians related to minor illnesses and injuries.

INTRODUCTION: Our objectives were to determine the incidence of missed injuries and inappropriately managed cases in patients with minor injuries and illnesses and to evaluate diagnostic accuracy of the emergency nurse practitioners (ENPs) compared with junior doctors/senior house officers (SHOs). METHODS: In a descriptive cohort study, 741 patients treated by ENPs were compared with a random sample of 741 patients treated by junior doctors/SHOs. Groups were compared regarding incidence and severity of missed injuries and inappropriately managed cases, waiting times, and length of stay. RESULTS: Within the total group, 29 of the 1,482 patients (1.9%) had a missed injury or were inappropriately managed. No statistically significant difference was found between the ENP and physician groups in terms of missed injuries or inappropriate management, with 9 errors (1.2%) by junior doctors/SHOs and 20 errors (2.7%) by ENPs. The most common reason for missed injuries was misinterpretation of radiographs (13 of 17 missed injuries). There was no significant difference in waiting time for treatment by junior doctors/SHOs versus ENPs (20 minutes vs 19 minutes). The mean length of stay was significantly longer for junior doctors/SHOs (65 minutes for ENPs and 85 minutes for junior doctors/SHOs; P < .001; 95% confidence interval, 72.32-77.41). DISCUSSION: ENPs showed high diagnostic accuracy, with 97.3% of the patients being correctly diagnosed and managed. No significant differences between nurse practitioners and physicians related to missed injuries and inappropriate management were detected.

Perceptions of a 'virtual' acute admission unit.

The Haaglanden Medical Centre, the Hague, Netherlands, has opened a 'virtual' acute admission unit (VAAU) to increase throughput of acute patients. The VAAU consists of 15 inpatient beds located on different wards that are set aside for patients from the emergency department (ED) when all of the beds on specialty wards are being used. A qualitative evaluation of the VAAU has revealed that it has reduced emergency nurses' workload and allowed them more time to see and treat patients. This suggests that the introduction of VAAUs may address similar problems of ED throughput in the U.K.

Measuring emergency department crowding in an inner city hospital in The Netherlands.

BACKGROUND: Overcrowding in the emergency department (ED) is an increasing problem worldwide. In The Netherlands overcrowding is not a major issue, although some urban hospitals struggle with increased throughput. In 2004, Weiss et al. created the NEDOCS tool (National Emergency Department Over Crowding Study), a web-based instrument to measure objective overcrowding with scores between 0 (not busy at all) to above 181 (disaster). In this study we tried to validate the accuracy of the NEDOCS tool by comparing this with the subjective feelings of the ED nurse and emergency physician (EP) in an inner city hospital in The Netherlands. METHODS: In a 4-week period, data of a total of 147 time samplings were collected. The subjective feelings of being overcrowded and feeling rushed by the ED nurse and EP were scored on a survey using a 6-point Likert scale on answering the question of how busy they would say the ED is right now. NEDOCS tool scores were calculated, and these were compared with the subjective feelings using the kappa statistic assessing linear weights according to Cohen's method. RESULTS: Of all the time samplings, approximately 80% of the surveys were completed. The ED was rated as overcrowded 9% of the time by the ED nurses and 11% of the time by the EPs. The median NEDOCS score was 37 (0 to 120) and scored as overcrowded in 3%. There was a good intrarater agreement for the ED nurse and EP for the feeling of overcrowding and feeling of being rushed (κ = 0.79 and 0.73, respectively); the interrater agreement was moderate (κ = 0.53 and 0.43, respectively). The agreement between the NEDOCS and the subjective variables was moderate (κ = 0.50 and 0.53, respectively). A composite variable was created as the average of both the scores of feeling overcrowded of the nurse and the EP and the score of the EP of feeling rushed. The agreement between this and the NEDOCS was κ = 0.53. CONCLUSIONS: The NEDOCS tool is a reasonably good tool to quantify the subjective feelings of overcrowding. When overcrowding is encountered and immediately recognised, specific measures can be taken to guarantee the timely provision of necessary medical care to the patients in the ED at that time. However, possibly more accurate agreements could be obtained as approximately 20% of the surveys were not completed because of perceived crowdedness. An important limitation is that only 3% of the NEDOCS is scored as overcrowded, so no conclusions can be drawn about the agreement for higher categories of overcrowding. It is suggested to repeat the study in a busier period. As the triage category was not taken into account in the formula, a high workload with only a few patients giving high scores in subjective overcrowding in spite of a low NEDOCS score could have led to lower agreements. Incorporating the triage category in the NEDOCS tool possibly will lead to better agreement, but further research is needed to assess this idea.

Emergency department crowding in The Netherlands: managers' experiences.

BACKGROUND: In The Netherlands, the state of emergency department (ED) crowding is unknown. Anecdotal evidence suggests that current ED patients experience a longer length of stay (LOS) compared to some years ago, which is indicative of ED crowding. However, no multicenter studies have been performed to quantify LOS and assess crowding at Dutch EDs. We performed this study to describe the current state of emergency departments in The Netherlands regarding patients' length of stay and ED nurse managers' experiences of crowding. METHODS: A survey was sent to all 94 ED nurse managers in The Netherlands with questions regarding the type of facility, annual ED census, and patients' LOS. Additional questions included whether crowding was ever a problem at the particular ED, how often it occurred, which time periods had the worst episodes of crowding, and what measures the particular ED had undertaken to improve patient flow. RESULTS: Surveys were collected from 63 EDs (67%). Mean annual ED visits were 24,936 (SD ± 9,840); mean LOS for discharged patients was 119 (SD ± 40) min and mean LOS for admitted patients 146 (SD ± 49) min. Consultation delays, laboratory and radiology delays, and hospital bed shortages for patients needing admission were the most cited reasons for crowding. Admitted patients had a longer LOS because of delays in obtaining inpatient beds. Thirty-nine of 57 respondents (68%) reported that crowding occurred several times a week or even daily, mostly between 12:00 and 20:00. Measures taken by hospitals to manage crowding included placing patients in hallways and using fasttrack with treatment of patients by trained nurse practitioners. CONCLUSIONS: Despite a relatively short LOS, frequent crowding appears to be a nationwide problem according to Dutch ED nurse managers, with 68% of them reporting that crowding occurred several times a week or even daily. Consultations delays, laboratory and radiology delays, and hospital bed shortage for patients needing admission were believed to be the most important factors contributing to ED crowding.

Effect of medication reconciliation on unintentional medication discrepancies in acute hospital admissions of elderly adults: a multicenter study.

OBJECTIVES: To investigate the effect of pharmacy-based medication reconciliation on the frequency of unintentional medication discrepancies in acutely admitted individuals aged 65 and older. DESIGN: Multicenter intervention study with pre-post design. SETTING: Twelve Dutch hospitals. PARTICIPANTS: One thousand five hundred forty-three individuals aged 65 and older with an acute hospital admission through the emergency department. MEASUREMENTS: The intervention consisted of the Best Possible Medication History (BPMH), based on combining information from the community pharmacy record, the information provided by a structured interview with participants about their medication use, and medication containers. In nine hospitals, pharmacy technicians obtained the BPMH, and in three hospitals, a mixed model was used (physicians or pharmacy technicians obtained the BPMH). Primary outcome measure was the proportion of participants with one or more unintentional medication discrepancies. The primary outcome measure was stratified according to type of intervention (pharmacy based vs mixed model). RESULTS: The proportion of participants with one or more unintentional medication discrepancies was reduced from 62% to 32% [odds ratio (OR) = 0.29, 95% confidence interval (CI) = 0.23-0.37]. These results remained statistically significant after adjustment for type of department and hospital (OR = 0.20, 95% CI = 0.15-0.26), and this effect remained stable for 6 months. Stratified analysis showed that no effect from the intervention was evident in the three hospitals with a mixed-model intervention, in contrast to the hospitals with a pharmacy-based intervention. The medication discrepancy types "omission" and "dosage or strength" occurred most frequently and were the main types that the intervention influenced. CONCLUSION: Pharmacy-based medication reconciliation leads to a substantial reduction in medication discrepancies in acutely admitted elderly adults.

Managing patient flow with triage streaming to identify patients for Dutch emergency nurse practitioners.

INTRODUCTION: We developed a stream system to the current triangle system in order to manage patient flow at the emergency department and to clarify ENP role boundaries. METHODS: Data on admission and death rates--indicating injury severity--and data on length of stay--indicating resource utilisation--were collected from 48,397 patients triaged in the Netherlands in 2009. RESULTS: A total of 24,294 (50.2%) patients were triaged as 'suitable for treatment by an ENP' (ENP-stream). Remaining patients were triaged 'medium care' or 'high care'. In the medium and high care groups, significantly more admissions took place (6100, 25.3%) and significantly more patients died (31, 0.1%) compared to the patient group in the ENP-stream (admissions: 840, 3.5%, p<0.001 and deaths 0, 0.0%, p<0.001). The ENP-streaming is an accurate predictor of not needing to be admitted (PPV=97%) and of ED survival (PPV=100%). Mean length of stay was significantly shorter for patients in the ENP-stream compared to the other patients (back transformed values: 74 vs. 147 min, p<0.001). CONCLUSION: This study showed excellent correlation between the ENP-streaming and patients' injury severity and resource utilisation, suggesting high internal validity of our triage streaming system. It clarifies the ENP role, minimising the subjectivity of patient allocation.