Pathway 1A is for administrative and Clinical Support Staff  


Objectives:  

  • How to call for help when faced with patient concern 

Pathway 1B is for Clinical Support Staff who need basic life support skills

Objectives:  

  • How to call for help when paced with patient concern  
  • Recognise clinical deterioration 
  • Escalate in response to deterioration 
  • Commence basic life support 

Pathway 2A is for MEWS midwives and nurses

Objectives:  

  • to measure vital signs 
  • recognise clinical deterioration 
  • monitor trends in patient condition using the Maternity National Vital Signs Chart 
  • escalate in response to deterioration  
  • and implement basic initial treatments as indicated 

Pathway 2B is for midwives and nurses who work in non MEWS clinical areas such as community and outpatient clinics.

Objectives:

  • to know which vital signs to measure
  • recognise clinical deterioration
  • monitor trends in patient condition
  • escalate in response to deterioration
  • implement basic initial treatments as indicated
Pathway 3 is for house officers, senior midwives and nurses who may be working in clinical leadership roles.

Objectives:

  • to recognise, assess and escalate in response to deterioration
  • implement basic initial treatments
  • assist with advanced resuscitation management

Pathway 4 is for Registrars, Fellows, MOSS and SMOs.

Objectives:  

  • to understand how the MEWS system works and what the impact of making modifications to an individual patient's score will be
  • understand how shared goals of care conversations should be used and conducted
  • be able to begin life support until more help arrives

Pathway 5 is for PaR team members, ICU, ED, Anaesthesia SMOs or Registrars, and clinicians that carry a MET locator

Objectives:

  • to understand how the Early Warning Score and Maternity Early Warning Score system works
  • understand how shared goals of care conversations should be used and conducted
  • be able to lead advanced resuscitation events using knowledge of current advanced life support algorithms