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Validating the WHO maternal near miss tool: comparing high- and low-resource settings

Overview of attention for article published in BMC Pregnancy and Childbirth, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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1 policy source
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Title
Validating the WHO maternal near miss tool: comparing high- and low-resource settings
Published in
BMC Pregnancy and Childbirth, June 2017
DOI 10.1186/s12884-017-1370-0
Pubmed ID
Authors

Tom Witteveen, Hans Bezstarosti, Ilona de Koning, Ellen Nelissen, Kitty W. Bloemenkamp, Jos van Roosmalen, Thomas van den Akker

Abstract

WHO proposed the WHO Maternal Near Miss (MNM) tool, classifying women according to several (potentially) life-threatening conditions, to monitor and improve quality of obstetric care. The objective of this study is to analyse merged data of one high- and two low-resource settings where this tool was applied and test whether the tool may be suitable for comparing severe maternal outcome (SMO) between these settings. Using three cohort studies that included SMO cases, during two-year time frames in the Netherlands, Tanzania and Malawi we reassessed all SMO cases (as defined by the original studies) with the WHO MNM tool (five disease-, four intervention- and seven organ dysfunction-based criteria). Main outcome measures were prevalence of MNM criteria and case fatality rates (CFR). A total of 3172 women were studied; 2538 (80.0%) from the Netherlands, 248 (7.8%) from Tanzania and 386 (12.2%) from Malawi. Total SMO detection was 2767 (87.2%) for disease-based criteria, 2504 (78.9%) for intervention-based criteria and 1211 (38.2%) for organ dysfunction-based criteria. Including every woman who received ≥1 unit of blood in low-resource settings as life-threatening, as defined by organ dysfunction criteria, led to more equally distributed populations. In one third of all Dutch and Malawian maternal death cases, organ dysfunction criteria could not be identified from medical records. Applying solely organ dysfunction-based criteria may lead to underreporting of SMO. Therefore, a tool based on defining MNM only upon establishing organ failure is of limited use for comparing settings with varying resources. In low-resource settings, lowering the threshold of transfused units of blood leads to a higher detection rate of MNM. We recommend refined disease-based criteria, accompanied by a limited set of intervention- and organ dysfunction-based criteria to set a measure of severity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 15%
Student > Postgraduate 14 11%
Researcher 13 10%
Other 9 7%
Student > Doctoral Student 9 7%
Other 31 24%
Unknown 35 27%
Readers by discipline Count As %
Medicine and Dentistry 50 38%
Nursing and Health Professions 20 15%
Social Sciences 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Engineering 3 2%
Other 10 8%
Unknown 39 30%
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 10 July 2022.
All research outputs
#5,097,041
of 24,526,614 outputs
Outputs from BMC Pregnancy and Childbirth
#1,423
of 4,586 outputs
Outputs of similar age
#83,816
of 321,009 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#38
of 101 outputs
Altmetric has tracked 24,526,614 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 4,586 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 321,009 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 101 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 63% of its contemporaries.