Emergency medicine journal : EMJ
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Recent events involving a significant number of casualties have emphasised the importance of appropriate preparation for receiving hospitals, especially Emergency Departments, during the initial response phase of a major incident. Development of a mass casualty resilience and response framework in the Northern Trauma Network included a review of existing planning assumptions in order to ensure effective resource allocation, both in local receiving hospitals and system-wide.Existing planning assumptions regarding categorisation by triage level are generally stated as a ratio for P1:P2:P3 of 25%:25%:50% of the total number of injured survivors. This may significantly over-, or underestimate, the number in each level of severity in the case of a large-scale incident. ⋯ Despite the heterogeneity of data and range of incident type there is sufficient evidence to suggest that current planning assumptions are incorrect and a more refined model is required. An important finding is the variation in proportion of critical cases depending upon the mechanism. For example, a greater than expected proportion results from incidents involving a building fire whereas the existing model may over-estimate critical caseload in more 'conventional' incidents such as a transportation accident or even in terrorism-related incidents.A new model suggesting the proportions of casualties expected by severity categorisation and incident type is shown in table 2. A more detailed investigation is planned to further refine and develop this model.emermed;34/12/A865-a/T1F1T1Table 1emermed;34/12/A865-a/T2F2T2Table 2.
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The assessment of pain in the emergency department (ED) is difficult but important for appropriate management of pain. Guidelines for the management of acute pain in the ED worldwide advocate using numeric rating scales such as the 0-10 pain score as tools to ensure consistency of documenting patient's pain, and this is mandated at initial assessment in many EDs. Studies of interventions to improve pain management in the ED indicate that whilst the inclusion of mandatory pain scoring within interventions may improve documentation of pain, there was mixed evidence as to whether this resulted in improvements in provision of analgesia. As part of a wider study looking at barriers and enablers to pain management in the ED, we explored how pain scoring was used in the ED. ⋯ The pain score appeared to have parallel but misaligned roles: to assess patient pain and ED staff practice. ED staff faced conflict between the need to record pain to ensure accountability of pain management, and recording pain to reflect the patient's report. The role of the pain score needs to be reviewed in order for pain scoring to improve the patient experience of pain management in the ED.
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The over 75 s make up 20% of our ED attendances. The greatest increase has been in the over 85 s. This very elderly cohort are more likely to be frail and are 10X more likely to require admission than 20-40 year olds and once in hospital have longer stays. There is evidence that multidisciplinary care and early Comprehensive Geriatric Assessment (CGA) improves outcomes for older patients, reducing readmissions, long term care, greater satisfaction and lower costs. The aim of this project was to improve the acute care provided to our older patients at the Front Door of the hospital. ⋯ 3 month pilot project underpinned by Big Room Quality Improvement methodology. The Frailty Big Room meets weekly and includes input from clinicians, QI experts and a data analyst. This project was driven by the following aims:Frailty Flying Squad to see as many older±frail patients referred for admission as close to the front door as possible.CGA at the front door with discharge planning from first reviewMDT approachExpedited discharge or transfer to other services from ED.Review following day to make sure management plans being followed through or discharge without ward teams having to become involved.Frailty Flying Squad Team:2 Medical Nurse PractitionersPhysiotherapistConsultant geriatricianKey Performance Indicators: Length of StayReadmission within 30 days of initial review RESULTS: 355 patients were seen. 168 (47%) of patients were over 85 and the median Rockwood frailty score for the whole cohort was 6. 209 patients were ED referrals and 85 were GP referrals for admission. 237 (67%) patients were seen in ED, 49 in MAU and 7 in ED obs. During the pilot period, 97 patients who had been referred for admission were discharged direct from ED. 56 (16%) of patients had zero length of stay. A low number (9.4%) of patients were readmitted within 30 days.emermed;34/12/A885-a/F1F1F1Figure 1LOSemermed;34/12/A885-a/F2F2F2Figure 2Length of stay for the > 85s 2016 and 2017 compared CONCLUSION: A multidisciplinary Acute Care of the Elderly Team predominantly based in the Emergency department can provide effective early Comprehensive Geriatric Assessment; facilitating discharge home from the Emergency Department, reducing length of stay for those admitted and reducing readmission rates within 30 days.
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As patient numbers presenting to emergency departments (ED) increase, with their myriad of comorbidities, early hospital admission prediction and demand modelling are crucial both in the ED and beyond. The Glasgow admission prediction score (GAPS) (figure 1)1 has already been shown to be accurate in predicting hospital admission from the ED at the point of triage.2 As demand on EDs increase, data driven models such as GAPS will become increasingly important for predicting patient course. However, GAPS has not previously been tested beyond the point of admission.emermed;34/12/A864-b/F1F1F1Figure 1 AIM: To assess whether GAPS has the ability to predict hospital length of stay (LOS), six-month mortality and six-month hospital readmission. ⋯ In total 1420 patients were recruited, 39.6% of these patients were initially admitted to hospital. At six months, 30.6% of patients had been readmitted and 5.6% of patients had died. For those admitted at first presentation, the chance of being discharged at any one time fell by 4.3% (95% confidence interval (CI) 3.2%-5.3%) per GAPS point increase. Figure 2 displays the Kaplan Meier curves for 6 month mortality. Cox regression showed a significant association between GAPS and mortality, with a hazard increase of 9% (95% CI:6.9% to 11.2%) for every point increase on GAPS. Figure 3 displays the Kaplan Meier curves for 6 month hospital readmission.emermed;34/12/A864-b/F2F2F2Figure 2 DISCUSSION: GAPS is a simple tool which utilises data routinely collected at triage. It is predictive of hospital admission, hospital length of stay, six-month all-cause mortality and six-month hospital readmission. Therefore, GAPS could be employed to aid staff in hospital bed planning, clinical decision making and ED resource allocation and utilisation.emermed;34/12/A864-b/F3F3F3Figure 3 REFERENCES: Logan E, et al. Predicating admission at triage. Presented at International Acute Medicine Conference, Edinburgh 2016.Cameron A, et al. A simple tool to predict admission at the time of triage. Emergency Medicine Journal2014.
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: Emergency medicine is widely recognised as an intense specialty. Interruptions are known to derail thoughts, increasing cognitive load and result in longer periods before deep thought is re-established. Although approachability and warmth are regarded as important factors in clinicians we wondered what impact these characteristics had on the number of interruptions.