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Constructing maternal morbidity – towards a standard tool to measure and monitor maternal health beyond mortality

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
3 policy sources
twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
233 Mendeley
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Title
Constructing maternal morbidity – towards a standard tool to measure and monitor maternal health beyond mortality
Published in
BMC Pregnancy and Childbirth, March 2016
DOI 10.1186/s12884-015-0789-4
Pubmed ID
Authors

Doris Chou, Özge Tunçalp, Tabassum Firoz, Maria Barreix, Veronique Filippi, Peter von Dadelszen, Nynke van den Broek, Jose Guilherme Cecatti, Lale Say, on behalf of the Maternal Morbidity Working Group

Abstract

Maternal morbidity is a complex entity and its presentation and severity are on a spectrum. This paper describes the conceptualization and development of a definition for maternal morbidity, and the framework for its measurement: the maternal morbidity matrix, which is the foundation for measuring maternal morbidity, thus, the assessment tool. We define maternal morbidity and associated disability as "any health condition attributed to and/or complicating pregnancy and childbirth that has a negative impact on the woman's wellbeing and/or functioning." A matrix of 121 conditions was generated through expert meetings, review of the International Classification of Diseases and related health problems (ICD-10), literature reviews, applying the definition of maternal morbidity and a cut-off of >0.1 % prevalence. This matrix has three dimensions: identified morbidity category, reported functioning impact and maternal history. The identification criteria for morbidity include 58 symptoms, 29 signs, 44 investigations and 35 management strategies; these criteria are aimed at recognizing the medical condition, or the functional impact/disability component that will capture the negative impact experienced by the woman. The maternal morbidity matrix is a practical framework for assessing maternal morbidity beyond near-miss. In light of the emerging attention to Universal Health Coverage (UHC) as part of the post-2015 Sustainable Development Goals (SDGs) planning, a definition and standard identification criteria are essential to measuring its extent and impact.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
United Kingdom 1 <1%
Unknown 230 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 15%
Researcher 25 11%
Student > Postgraduate 19 8%
Student > Ph. D. Student 19 8%
Student > Doctoral Student 17 7%
Other 53 23%
Unknown 64 27%
Readers by discipline Count As %
Medicine and Dentistry 62 27%
Nursing and Health Professions 33 14%
Social Sciences 20 9%
Psychology 6 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 30 13%
Unknown 78 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 01 September 2022.
All research outputs
#2,520,566
of 24,920,664 outputs
Outputs from BMC Pregnancy and Childbirth
#674
of 4,646 outputs
Outputs of similar age
#38,932
of 304,525 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#12
of 64 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,646 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 85% 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 304,525 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 87% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.