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Applying the international classification of diseases to perinatal mortality data, South Africa
OBJECTIVE: To examine the feasibility of applying the International Classification of Diseases-perinatal mortality (ICD-PM) coding to an existing data set in the classification of perinatal deaths. METHODS: One author, a researcher with a non-clinical public health background, applied the ICD-PM cod...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
World Health Organization
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249699/ https://www.ncbi.nlm.nih.gov/pubmed/30505028 http://dx.doi.org/10.2471/BLT.17.206631 |
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author | Lavin, Tina Allanson, Emma R Nedkoff, Lee Preen, David B Pattinson, Robert C |
author_facet | Lavin, Tina Allanson, Emma R Nedkoff, Lee Preen, David B Pattinson, Robert C |
author_sort | Lavin, Tina |
collection | PubMed |
description | OBJECTIVE: To examine the feasibility of applying the International Classification of Diseases-perinatal mortality (ICD-PM) coding to an existing data set in the classification of perinatal deaths. METHODS: One author, a researcher with a non-clinical public health background, applied the ICD-PM coding system to South Africa’s national perinatal mortality audit system, the Perinatal Problem Identification Program. The database for this study included all perinatal deaths (n = 26 810), defined as either stillbirths (of birth weight > 1000 g and after 28 weeks of gestation) or early neonatal deaths (age 0–7 days), that occurred between 1 October 2013 and 31 December 2016. A clinical obstetrician verified the coding. FINDINGS: The South African classification system does not include the timing of death; however, under the ICD-PM system, deaths could be classified as antepartum (n = 15 619; 58.2%), intrapartum (n = 3725; 14.0%) or neonatal (n = 7466; 27.8%). Further, the South African classification system linked a maternal condition to only 40.3% (10 802/26 810) of all perinatal deaths; this proportion increased to 68.9% (18 467/26 810) under the ICD-PM system. CONCLUSION: The main benefit of using the clinically relevant and user-friendly ICD-PM system was an enhanced understanding of the data, in terms of both timing of death and maternal conditions. We have also demonstrated that it is feasible to convert an existing perinatal mortality classification system to one which is globally comparable and can inform policy-makers internationally. |
format | Online Article Text |
id | pubmed-6249699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | World Health Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-62496992018-12-01 Applying the international classification of diseases to perinatal mortality data, South Africa Lavin, Tina Allanson, Emma R Nedkoff, Lee Preen, David B Pattinson, Robert C Bull World Health Organ Research OBJECTIVE: To examine the feasibility of applying the International Classification of Diseases-perinatal mortality (ICD-PM) coding to an existing data set in the classification of perinatal deaths. METHODS: One author, a researcher with a non-clinical public health background, applied the ICD-PM coding system to South Africa’s national perinatal mortality audit system, the Perinatal Problem Identification Program. The database for this study included all perinatal deaths (n = 26 810), defined as either stillbirths (of birth weight > 1000 g and after 28 weeks of gestation) or early neonatal deaths (age 0–7 days), that occurred between 1 October 2013 and 31 December 2016. A clinical obstetrician verified the coding. FINDINGS: The South African classification system does not include the timing of death; however, under the ICD-PM system, deaths could be classified as antepartum (n = 15 619; 58.2%), intrapartum (n = 3725; 14.0%) or neonatal (n = 7466; 27.8%). Further, the South African classification system linked a maternal condition to only 40.3% (10 802/26 810) of all perinatal deaths; this proportion increased to 68.9% (18 467/26 810) under the ICD-PM system. CONCLUSION: The main benefit of using the clinically relevant and user-friendly ICD-PM system was an enhanced understanding of the data, in terms of both timing of death and maternal conditions. We have also demonstrated that it is feasible to convert an existing perinatal mortality classification system to one which is globally comparable and can inform policy-makers internationally. World Health Organization 2018-12-01 2018-10-17 /pmc/articles/PMC6249699/ /pubmed/30505028 http://dx.doi.org/10.2471/BLT.17.206631 Text en (c) 2018 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL. |
spellingShingle | Research Lavin, Tina Allanson, Emma R Nedkoff, Lee Preen, David B Pattinson, Robert C Applying the international classification of diseases to perinatal mortality data, South Africa |
title | Applying the international classification of diseases to perinatal mortality data, South Africa |
title_full | Applying the international classification of diseases to perinatal mortality data, South Africa |
title_fullStr | Applying the international classification of diseases to perinatal mortality data, South Africa |
title_full_unstemmed | Applying the international classification of diseases to perinatal mortality data, South Africa |
title_short | Applying the international classification of diseases to perinatal mortality data, South Africa |
title_sort | applying the international classification of diseases to perinatal mortality data, south africa |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249699/ https://www.ncbi.nlm.nih.gov/pubmed/30505028 http://dx.doi.org/10.2471/BLT.17.206631 |
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