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Maternal near misses from two referral hospitals in Uganda: a prospective cohort study on incidence, determinants and prognostic factors

Overview of attention for article published in BMC Pregnancy and Childbirth, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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6 X users
wikipedia
1 Wikipedia page

Citations

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51 Dimensions

Readers on

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275 Mendeley
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Title
Maternal near misses from two referral hospitals in Uganda: a prospective cohort study on incidence, determinants and prognostic factors
Published in
BMC Pregnancy and Childbirth, January 2016
DOI 10.1186/s12884-016-0811-5
Pubmed ID
Authors

Annettee Nakimuli, Sarah Nakubulwa, Othman Kakaire, Michael O. Osinde, Scovia N. Mbalinda, Rose C. Nabirye, Nelson Kakande, Dan K. Kaye

Abstract

Maternal near misses occur more often than maternal deaths and could enable more comprehensive analysis of risk factors, short-term outcomes and prognostic factors of complications during pregnancy and childbirth. The study determined the incidence, determinants and prognostic factors of severe maternal outcomes (near miss or maternal death) in two referral hospitals in Uganda. A prospective cohort study was conducted between March 1, 2013 and February 28, 2014, where cases of severe pregnancy and childbirth complications were included. The clinical conditions included abortion-related complications, obstetric haemorrhage, hypertensive disorders, obstructed labour, infection and pregnancy-specific complications such as febrile illness, anemia and premature rupture of membranes. Near miss cases were defined according to the WHO criteria. Multivariate logistic regression analysis was conducted to identify prognostic factors for severe maternal outcomes. Of 3100 women with severe obstetric complications, 130 (4.2 %) were maternal deaths and 695 (22.7 %) were near miss cases. Severe pre-eclampsia was the commonest morbidity (incidence ratio (IR) 7.0 %, case-fatality rate (CFR) 2.3 %), followed by postpartum haemorrhage (IR 6.7 %, CFR 7.2 %). Uterine rupture (IR 5.5 %) caused the highest CFR (17.9 %), followed by eclampsia (IR 0.4 %, CFR 17.8 %). The three groups (maternal deaths, near misses and non-life-threatening obstetric complications) differed significantly regarding gravidity and education level. The commonest diagnostic criteria for maternal near miss were admission to the high dependency unit (HDU) or to the intensive care unit (ICU). Thrombocytopenia, circulatory collapse, referral to a more specialized unit, intubation unrelated to anaesthesia, and cardiopulmonary resuscitation were predictive of maternal death (p < 0.05). Gravidity (ARR 1.4, 95 % C1 1.0-1.2); elevated serum lactate levels (ARR 4.5, 95 % CI 2.3-8.7); intubation for conditions unrelated to general anaesthesia (ARR 2.6 (95 % CI 1.2-5.7), cardiovascular collapse (ARR 4.9, 95 % CI 2.5-9.5); transfusion of 4 or more units of blood (ARR 1.9, 95 % CI 1.1-3.1); being an emergency referral (ARR 2.6, 95 % CI 1.2-5.6); and need for cardiopulmonary resuscitation (ARR 6.1, 95 % CI 3.2-11.7), were prognostic factors. The analysis of near misses is a useful tool in the investigation of severe maternal morbidity. The prognostic factors for maternal death, if instituted, might save many women with obstetric complications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 <1%
Zimbabwe 1 <1%
Ghana 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Unknown 269 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 55 20%
Student > Postgraduate 31 11%
Researcher 24 9%
Student > Bachelor 17 6%
Student > Doctoral Student 13 5%
Other 55 20%
Unknown 80 29%
Readers by discipline Count As %
Medicine and Dentistry 105 38%
Nursing and Health Professions 48 17%
Social Sciences 9 3%
Agricultural and Biological Sciences 4 1%
Unspecified 4 1%
Other 17 6%
Unknown 88 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 February 2023.
All research outputs
#5,048,327
of 24,185,663 outputs
Outputs from BMC Pregnancy and Childbirth
#1,406
of 4,504 outputs
Outputs of similar age
#85,748
of 405,169 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#18
of 66 outputs
Altmetric has tracked 24,185,663 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 405,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.