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Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)

Overview of attention for article published in BMC Pregnancy and Childbirth, September 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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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2 blogs
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4 X users

Citations

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17 Dimensions

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100 Mendeley
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Title
Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)
Published in
BMC Pregnancy and Childbirth, September 2016
DOI 10.1186/s12884-016-1084-8
Pubmed ID
Authors

Florence Mgawadere, Regine Unkels, Adetoro Adegoke, Nynke van den Broek

Abstract

Assessing the feasibility of conducting a prospective Reproductive Age Mortality Survey (RAMOS) study in the low-income setting of Mangochi District, Malawi to obtain cotemporaneous estimates of the number, cause of and conditions associated with maternal deaths (MD) in all women of reproductive age (WRA) (n = 207 688). MD among all deaths of WRA were identified using the ICD-10 definition. Cause of death and contributing conditions identified by a panel of experts using the classification system for deaths during pregnancy, childbirth and puerperium (ICD-MM). Out of 424 deaths of WRA, 151 were MD giving a Maternal Mortality Ratio (MMR) of 363 per 100,000 live births (95 % CI: 307-425). Only 86 MD had been reported via existing reporting mechanisms representing an underreporting of 43 %. The majority of MD (62.3 %) occurred in a health facility and were the result of direct obstetric causes (74.8 %) with obstetric haemorrhage as the leading cause (35.8 %), followed by pregnancy-related infections (19.4 %), hypertensive disorders (16.8 %) and pregnancy with abortive outcome (13.2 %). Malaria was the most frequently identified indirect cause (9.9 %). Contributing conditions were more frequently identified when both verbal autopsy and facility-based death review had taken place and included obstructed labour (28.5 %), anaemia (12.6 %) and positive HIV status (4.0 %). The high number of MD that occur at health facility level, cause of death and contributing conditions reflect deficiencies in the quality of care at health facility level. A RAMOS is feasible in low- and middle-income settings and provides contemporaneous estimates of MMR.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 17%
Researcher 15 15%
Student > Bachelor 10 10%
Student > Ph. D. Student 8 8%
Student > Postgraduate 7 7%
Other 20 20%
Unknown 23 23%
Readers by discipline Count As %
Medicine and Dentistry 36 36%
Nursing and Health Professions 18 18%
Social Sciences 6 6%
Design 5 5%
Economics, Econometrics and Finance 2 2%
Other 6 6%
Unknown 27 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 07 December 2019.
All research outputs
#1,922,855
of 22,890,496 outputs
Outputs from BMC Pregnancy and Childbirth
#496
of 4,212 outputs
Outputs of similar age
#35,884
of 322,600 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#14
of 101 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,212 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 88% 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 322,600 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 88% 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 done well, scoring higher than 86% of its contemporaries.