Estimating blood loss after birth: using simulated clinical examples.
OBJECTIVE
To determine the accuracy of the estimation of blood loss using simulated clinical examples.


METHODS
Over 100 attendees came together at a seminar about postpartum haemorrhage in June 2006. Five blood loss assessment stations were constructed, each containing a simulated clinical example. Each station was numbered and was made up of a variety of equipment used in birthing suites. Over 5L of 'artificial' blood was made. The artificial blood was similar to the colour and consistency of real blood.


METHODS
A convenience sample of 88 participants was given a response sheet and asked to estimate blood loss at each station. Participants included midwives, student midwives and an obstetrician.


RESULTS
Blood in a container (bedpan, kidney dish) was more accurately estimated than blood on sanitary pads, sheets or clothing. Lower volumes of blood were also estimated correctly by more participants than the higher volumes.


CONCLUSIONS
Improvements are still needed in visual estimation of blood loss following childbirth. Education programs may increase the level of accuracy.


CONCLUSIONS
We encourage other clinicians and educators to embark upon a similar exercise to assist midwives and others to improve their visual estimation of blood loss after birth. Accurate estimations can ensure that women who experience significant blood loss can receive appropriate care and the published rates of postpartum haemorrhage are correct.
Buckland
Sara S
SS
Centre for Midwifery, Child and Family Health, Faculty of Nursing, Midwifery and Health, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia.
Homer
Caroline S E
CS
D001810:Blood Volume; D002983:Clinical Competence; D005260:Female; D006801:Humans; D007749:Labor Stage, Third / Q000097:blood; D008880:Midwifery / Q000193:education* / Q000592:standards; D009517:New South Wales; D009730:Nursing Assessment / Q000379:methods* / Q000592:standards; D006473:Postpartum Hemorrhage / Q000175:diagnosis* / Q000451:nursing* / Q000517:prevention & control; D011247:Pregnancy; D018794:Problem-Based Learning / Q000379:methods*; D011785:Quality Assurance, Health Care