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

Overview of attention for article published in BMC Pregnancy and Childbirth, October 2016
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Title
Exploring the third delay: an audit evaluating obstetric triage at Mulago National Referral Hospital
Published in
BMC Pregnancy and Childbirth, October 2016
DOI 10.1186/s12884-016-1098-2
Pubmed ID
Authors

Jennifer Forshaw, Stephanie Raybould, Emilie Lewis, Mark Muyingo, Andrew Weeks, Kate Reed, Logan Manikam, Josaphat Byamugisha

Abstract

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. 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. 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. 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.

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Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 20%
Researcher 6 8%
Student > Bachelor 6 8%
Student > Postgraduate 5 6%
Student > Ph. D. Student 5 6%
Other 14 18%
Unknown 28 35%
Readers by discipline Count As %
Nursing and Health Professions 17 21%
Medicine and Dentistry 14 18%
Unspecified 3 4%
Immunology and Microbiology 2 3%
Social Sciences 2 3%
Other 11 14%
Unknown 31 39%