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

Allanson, E. R., Vogel, J. P., Tuncalp, Ӧ., Gardosi, J., Pattinson, R. C., Francis, A., Erwich, J. J. H. M., Flenady, V. J., Froen, J. F., Neilson, J., Quach, A., Chou, D., Mathai, M., Say, L. and Gulmezoglu, A. M. (2016) Application of ICD-PM to preterm-related neonatal deaths in South Africa and United Kingdom. BJOG: An International Journal of Obstetrics and Gynaecology, 123 12: 2029-2036. doi:10.1111/1471-0528.14245


Author Allanson, E. R.
Vogel, J. P.
Tuncalp, Ӧ.
Gardosi, J.
Pattinson, R. C.
Francis, A.
Erwich, J. J. H. M.
Flenady, V. J.
Froen, J. F.
Neilson, J.
Quach, A.
Chou, D.
Mathai, M.
Say, L.
Gulmezoglu, A. M.
Title Application of ICD-PM to preterm-related neonatal deaths in South Africa and United Kingdom
Journal name BJOG: An International Journal of Obstetrics and Gynaecology   Check publisher's open access policy
ISSN 1471-0528
1470-0328
Publication date 2016-11-01
Sub-type Article (original research)
DOI 10.1111/1471-0528.14245
Open Access Status Not yet assessed
Volume 123
Issue 12
Start page 2029
End page 2036
Total pages 8
Place of publication Chichester, West Sussex, United Kingdom
Publisher Wiley-Blackwell Publishing
Language eng
Formatted abstract
Objective: 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.

Design: Retrospective application of ICD-PM.

Setting: South Africa, and the UK.

Population: Perinatal death databases.

Methods: Descriptive analysis of neonatal deaths and maternal conditions present.

Main outcome measures: Causes of preterm neonatal mortality and associated maternal conditions.

Results: 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%).

Conclusions: ICD-PM can be used to appraise the maternal and newborn conditions contributing to preterm deaths, and can inform practice. Tweetable abstract: ICD-PM can be used to appraise maternal and newborn contributors to preterm deaths to improve quality of care.
Keyword Classification
Global
ICD
Perinatal death
Preterm deaths
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Mater Research Institute-UQ (MRI-UQ)
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