Literature DB >> 24359235

Early detection of severe maternal morbidity: a retrospective assessment of the role of an Early Warning Score System.

Diana M Austin1, Lynn Sadler, Claire McLintock, Colin McArthur, Vicki Masson, Cindy Farquhar, Sharon Rhodes.   

Abstract

BACKGROUND: The Early Warning Scoring (EWS) surveillance system is used to identify deteriorating patients and enable appropriate staff to be called promptly. However, there is a lack of evidence that EWS surveillance systems lead to a reduction in severe morbidity. AIMS: To determine whether as EWS may have improved the detection of severe maternal morbidity or lessened the severity of illness among women with severe morbidity at a large tertiary maternity unit at Auckland City Hospital (ACH), New Zealand.
METHODS: Admissions to intensive care, cardiothoracic and vascular intensive care, or an obstetric high-dependency unit (HDU) were identified from clinical and hospital administrative databases. Case reviews and transcribed observation charts were presented to a multidisciplinary review group who, through group consensus, determined whether an EWS might have hastened recognition and/or escalation and effective treatment.
RESULTS: The multidisciplinary review team determined that an EWS might have reduced the seriousness of maternal morbidity in five cases (7.6%), including three admissions for obstetric sepsis to intensive care unit and two to obstetric HDU for post-partum haemorrhage. No patient had a complete set of respiratory rate, heart rate, blood pressure and temperature recordings at every time period.
CONCLUSIONS: These findings have been used to support introduction of an EWS to the maternity unit at ACH.
© 2013 The Royal Australian and New Zealand College of Obstetricians and Gynaecologists.

Entities:  

Keywords:  early warning score; maternal morbidity; surveillance systems

Mesh:

Year:  2013        PMID: 24359235     DOI: 10.1111/ajo.12160

Source DB:  PubMed          Journal:  Aust N Z J Obstet Gynaecol        ISSN: 0004-8666            Impact factor:   2.100


  4 in total

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Authors:  Valerie Smith; Louise C Kenny; Jane Sandall; Declan Devane; Maria Noonan
Journal:  Cochrane Database Syst Rev       Date:  2021-09-13

2.  Early warning systems in obstetrics: A systematic literature review.

Authors:  Aminu Umar; Charles A Ameh; Francis Muriithi; Matthews Mathai
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

3.  Introduction of a modified obstetric early warning system -(-MOEWS-)- at an Ethiopian referral hospital: a feasibility assessment.

Authors:  Jolene Moore; Duncan Thomson; Iona Pimentil; Bazezew Fekad; Wendy Graham
Journal:  BMJ Open Qual       Date:  2019-03-30

4.  Development and validation of an obstetric early warning system model for use in low resource settings.

Authors:  Aminu Umar; Alexander Manu; Matthews Mathai; Charles Ameh
Journal:  BMC Pregnancy Childbirth       Date:  2020-09-11       Impact factor: 3.007

  4 in total

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