EMA Vol 20, Number 3, June 2008
Review article: Non-invasive assessment of cardiac output with portable continuous-wave Doppler ultrasound.
Ultrasonic cardiac output monitor (USCOM)
still problematic with technical difficulties needing more studies
accuracy depends upon obtaining accurate VTI and valve diameter measurements, and certain assumptions are made:
intrathoracic air such as in ventilated patients reduces acoustic signal which may result in poor flow signals.
Review article: Adenosine use in the ED
although adenosine is efficacious in Rx of stable SVT, it is no more efficacious than cheaper alternatives.
it has a possible role in 1st line Rx of unstable SVT & is generally safe & effective when used to Rx &/or Dx wide complex tachycardias.
there is a small risk of inducing serious arrhythmias, such as prolonged AV blockade and VF
evidence that recommended initial doses of 100ug/kg for infants may be too low but adequate for children and adults.
Research: Predictive variables for hospital admission
NSW-based study looking at predictors for failed SSU (Short Stay Unit) or EDOU (ED Observation Unit) patients who then require admission to a inpatient ward bed instead of being discharged home from the SSU or EDOU.
860 adult patients admitted to the EDOU during the study (10.3% of all their adult presentations) with failed observation rate 16.9%
predictive factors noted:
inability to mobilise in ED prior to transfer to the EDOU (Odds Ratio 2.4-9.5)
requiring active Rx in EDOU rather than just observation or investigation (Odds Ratio 1.1-2.4)
requiring referral to inpatient unit prior to transfer to the EDOU (Odds Ratio 3.4-11.4)
requiring referral to allied health while in EDOU (Odds Ratio 1.1-2.6)
factors found NOT to be predictive:
Research: Assessing impact of streaming in a regional ED
Bendigo Hospital in regional Victoria
implementation of streaming model fails to impact percentage of patients who did not wait to be seen (DNW) although apparently reversed the downward trend of 4hr discharges and 8hr admit to ward KPIs.
streaming model involves triage nurse deciding which stream patient should go down:
“gold stream” - patient likely to require complex care and thus allocated to one of 12 “gold stream” cubicles
“blue stream” - triage 3-5 patients likely to require less complex care and unlikely to be admitted and thus allocated to one of 5 “blue stream” cubicles
Research: Stream by case complexity - evaluation of a model for ED Fast Track
Bankstown Hospital, NSW
census: 40,000pts/yr, 25% paed.
introduction of a Fast Track streaming model based on patient complexity with additional dedicated staffing and physical resources which resulted in:
reduction in mean waiting time from 55 to 32min
reduction in mean Rx time from 209-191min
improved wait time KPI with benchmark being met 77% of the time, up from 59%
DNW rate halved from 6.2% to 3.1%
Research: Mass gathering medicine: The Melbourne 2006 Commonwealth Games experience
Research: Optimizing triage consistency in Aust. EDs: The Emergency Triage Education Kit