Emergency medicine journal : EMJ
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Multicenter Study
20 Risk factors for admission at three, urban emergency departments in england: a cross-sectional analysis of attendances over one month.
To investigate factors associated with unscheduled admission following presentation to Emergency Departments (EDs) at three hospitals in England. ⋯ This study found statistically significant variations in odds of admission between hospital sites when adjusting for various patient demographic and presentation factors, suggesting important variations in ED- and clinician-level behaviour relating to admission decisions. The four-hour target is a strong driver for emergency admission.
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Observational Study
Identifying discordance between senior physicians and trainees on the root cause of ED revisits.
Analysis of 72-hour ED revisits is a common emergency medicine quality assurance (QA) practice. Our aim was to compare the perceived root cause for 72-hour ED revisits between senior physicians (attendings) and trainees. We proposed that discordance in perception of why the revisit occurred would guide improvements in 72-hour revisits QA and elucidate innovative educational opportunities. ⋯ Attendings and trainees frequently disagree on whether a potential medical deficiency was the root cause for an ED revisit, with more disagreement noted for cases requiring admission. These findings support the premise that there may be opportunities to improve 72-hour revisits QA systems through trainee integration. Finally, reuniting attending-trainee pairs around revisit cases may be a novel educational opportunity.
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Paediatric Traumatic Cardiac Arrest (TCA) is a high acuity, low frequency event with fewer than 15 cases reported per year to the Trauma Audit Research Network (TARN). Traditionally survival from TCA has been reported as low, with some believing resuscitation is futile. Within the adult population there is growing evidence to suggest that with early and aggressive correction of reversible causes, survival from TCA may be comparable to that seen from medical out-of-hospital cardiac arrests. Key to this survival has been the adoption of a standardised approach to resuscitation.The aim of this study was, by a process of consensus, to develop a national, standardised algorithm for the management of paediatric TCA. ⋯ 41 participants attended the consensus development meeting. Of the 19 statements discussed, 13 reached positive consensus and were included in the algorithm. A single statement regarding initial rescue breaths reached negative consensus and was excluded. Consensus was not reached for five statements, including the use of vasopressors and thoracotomy for haemorrhage control in blunt trauma. The proposed algorithm for the management of paediatric TCA is shown as Figures 1 and 2 for blunt and penetrating trauma respectively.emermed;34/12/A892-b/F1F1F1Figure 1emermed;34/12/A892-b/F2F2F2Figure 2 CONCLUSION: In attempt to standardise our approach to the management of paediatric TCA and to improve outcomes, we present the first algorithm specific to the paediatric population.
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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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To determine whether clinical features (in the form of a clinical decision rule) or d-dimer can be used to select pregnant or postpartum women with suspected PE for diagnostic imaging. ⋯ Clinical decision rules, d-dimer and chest x-ray should not be used to select pregnant or postpartum women with suspected PE for diagnostic imaging.