National HAI PPS update – October 2018

The national healthcare associated infection point prevalence survey (CHAINS) is now in its third months of data collection, with 12 of the 19 participating hospitals having been visited by our Research Assistants, Sophie and Stephanie. Hospitals that have participated to date include:

  • University Hospital Geelong, Vic
  • Bendigo Health, Vic
  • Calvary Hospital, ACT
  • Launceston General Hospital, Tas
  • North West Regional Hospital, Tas
  • The Queen Elizabeth Hospital, SA
  • The Royal Adelaide Hospital, SA
  • The Royal Melbourne Hospital, Vic
  • The Tweed Hospital, Vic
  • Royal Brisbane and Women’s Hospital, QLD
  • Frankston Hospital, Vic

From now until the end of data collection in the last week of November, data will be collected from:

  • Gold Coast University Hospital, QLD
  • Fiona Stanley Hospital, WA
  • Westmead Hospital, NSW
  • The Prince of Wales Hospital, NSW
  • Royal North Shore Hospital, NSW
  • Hornsby Ku-ring-gai Hospital, NSW
  • Alfred Hospital, Vic

Unfortunately due to unforeseen circumstances regarding research activity in Western Australian hospitals, we have had to replace Sir Charles Gairdner Hospital with another site. At late notice, we are grateful to the team at Westmead Hospital NSW who have been able to process the required documentation at speed, and look forward to visiting them soon.

Once again, on behalf of the CHAINS team, sincere gratitude to all site investigators and infection prevention teams at the participating hospitals for their support and work on this exciting project. Some of you are pictured below!



Deb and Stephanie, Redcliffe QLD


Team Royal Brisbane and Womens, QLD


Sophie, Marija, Angela and Stephanie, Royal Adelaide and Queen Elizabeth, SA


Team Royal Melbourne, Vic

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.