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BMC Pregnancy Childbirth. 2016 Oct 10;16(1):300.

Exploring the third delay: an audit evaluating obstetric triage at Mulago National Referral Hospital.

Author information

1
University of Liverpool School of Medicine, Liverpool, UK.
2
Eleanor Bradley fellow, Liverpool-Mulago Partnership for Women's and Children's Health, University of Liverpool, Liverpool, UK.
3
Department of Obstetrics and Gynaecology, Mulago Hospital, Makerere University College of Health Sciences, Kampala, Uganda.
4
International Women's Health, University of Liverpool, Liverpool, UK.
5
Guy's King's & St Thomas' School of Medical Education, King's College London, London, UK.
6
Institute of Child Health, niversity College London, London, UK. Logan.manikam.10@ucl.ac.uk.

Abstract

BACKGROUND:

Mulago National Referral Hospital has the largest maternity unit in sub-Saharan Africa. It is situated in Uganda, where the maternal mortality ratio is 310 per 100,000 live births. In 2010 a 'Traffic Light System' was set up to rapidly triage the vast number of patients who present to the hospital every day. The aim of this study was to evaluate the effectiveness of the obstetric department's triage system at Mulago Hospital with regard to time spent in admissions and to identify urgent cases and factors adversely affecting the system.

METHODS:

A prospective audit of the obstetric admissions department was carried out at the Mulago Hospital. Data were obtained from tagged patient journeys using two data collection tools and compiled using Microsoft Excel. StatsDirect was used to compose graphs to illustrate the results.

RESULTS:

Informal triage was occurring 46 % of the time at the first checkpoint in a woman's journey, but the 'Traffic Light System' was not being used and many of the patient's vital signs were not being recorded.

CONCLUSIONS:

It is hypothesised that the 'Traffic Light System' is not being used due to its focus on examination finding and diagnosis, implying that it is not suitable for an early stage in the patient's journey. Replacing it with a simple algorithm to categorise women into the urgency with which they need to be seen could rectify this.

KEYWORDS:

Obstetric; Triage

PMID:
27724846
PMCID:
PMC5057228
DOI:
10.1186/s12884-016-1098-2
[Indexed for MEDLINE]
Free PMC Article

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