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Application of ICD‐PM to preterm‐related neonatal deaths in South Africa and United Kingdom

Overview of attention for article published in British Journal of Obstetrics & Gynaecology, August 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Application of ICD‐PM to preterm‐related neonatal deaths in South Africa and United Kingdom
Published in
British Journal of Obstetrics & Gynaecology, August 2016
DOI 10.1111/1471-0528.14245
Pubmed ID
Authors

ER Allanson, JP Vogel, Ӧ Tunçalp, J Gardosi, RC Pattinson, A Francis, JJHM Erwich, VJ Flenady, JF Frøen, J Neilson, A Quach, D Chou, M Mathai, L Say, AM Gülmezoglu

Abstract

We explore preterm-related neonatal deaths using the WHO application of the International Classification of Disease (ICD-10) to deaths during the perinatal period: ICD-PM as an informative case study, where ICD-PM can improve data use to guide clinical practice and programmatic decision-making. Retrospective application of ICD-PM. South Africa, and the UK. Perinatal death databases. Descriptive analysis of neonatal deaths and maternal conditions present. Causes of preterm neonatal mortality and associated maternal conditions. We included 98 term and 173 preterm early neonatal deaths from South Africa, and 956 term and 3248 preterm neonatal deaths from the UK. In the South African data set, the main causes of death were respiratory/cardiovascular disorders (34.7%), low birthweight/prematurity (29.2%), and disorders of cerebral status (25.5%). Amongst preterm deaths, low birthweight/prematurity (43.9%) and respiratory/cardiovascular disorders (32.4%) were the leading causes. In the data set from the UK, the leading causes of death were low birthweight/prematurity (31.6%), congenital abnormalities (27.4%), and deaths of unspecified cause (26.1%). In the preterm deaths, the leading causes were low birthweight/prematurity (40.9%) and deaths of unspecified cause (29.6%). In South Africa, 61% of preterm deaths resulted from the maternal condition of preterm spontaneous labour. Among the preterm deaths in the data set from the UK, no maternal condition was present in 36%, followed by complications of placenta, cord, and membranes (23%), and other complications of labour and delivery (22%). ICD-PM can be used to appraise the maternal and newborn conditions contributing to preterm deaths, and can inform practice. ICD-PM can be used to appraise maternal and newborn contributors to preterm deaths to improve quality of care.

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Mendeley readers

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 17 21%
Researcher 11 14%
Student > Ph. D. Student 11 14%
Student > Postgraduate 6 8%
Student > Bachelor 5 6%
Other 10 13%
Unknown 20 25%
Readers by discipline Count As %
Medicine and Dentistry 24 30%
Nursing and Health Professions 12 15%
Social Sciences 8 10%
Biochemistry, Genetics and Molecular Biology 3 4%
Agricultural and Biological Sciences 2 3%
Other 8 10%
Unknown 23 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 December 2018.
All research outputs
#3,542,654
of 25,374,647 outputs
Outputs from British Journal of Obstetrics & Gynaecology
#1,428
of 6,848 outputs
Outputs of similar age
#56,860
of 337,652 outputs
Outputs of similar age from British Journal of Obstetrics & Gynaecology
#25
of 104 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,848 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 79% 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 337,652 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 83% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.