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Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done
Although the WHO recommends all countries use International Classification of Diseases (ICD)-10 coding for reporting health data, accurate health facility data are rarely available in developing or low and middle income countries. Compliance with ICD-10 is extremely resource intensive, and the lack...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819636/ https://www.ncbi.nlm.nih.gov/pubmed/26489801 http://dx.doi.org/10.1136/archdischild-2015-309353 |
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author | Duke, Trevor Yano, Edilson Hutchinson, Adrian Hwaihwanje, Ilomo Aipit, Jimmy Tovilu, Mathias Uluk, Tarcisius Rongap, Theresia Vetuna, Beryl Lagani, William Amini, James |
author_facet | Duke, Trevor Yano, Edilson Hutchinson, Adrian Hwaihwanje, Ilomo Aipit, Jimmy Tovilu, Mathias Uluk, Tarcisius Rongap, Theresia Vetuna, Beryl Lagani, William Amini, James |
author_sort | Duke, Trevor |
collection | PubMed |
description | Although the WHO recommends all countries use International Classification of Diseases (ICD)-10 coding for reporting health data, accurate health facility data are rarely available in developing or low and middle income countries. Compliance with ICD-10 is extremely resource intensive, and the lack of real data seriously undermines evidence-based approaches to improving quality of care and to clinical and public health programme management. We developed a simple tool for the collection of accurate admission and outcome data and implemented it in 16 provincial hospitals in Papua New Guinea over 6 years. The programme was low cost and easy to use by ward clerks and nurses. Over 6 years, it gathered data on the causes of 96 998 admissions of children and 7128 deaths. National reports on child morbidity and mortality were produced each year summarising the incidence and mortality rates for 21 common conditions of children and newborns, and the lessons learned for policy and practice. These data informed the National Policy and Plan for Child Health, triggered the implementation of a process of clinical quality improvement and other interventions to reduce mortality in the neediest areas, focusing on diseases with the highest burdens. It is possible to collect large-scale data on paediatric morbidity and mortality, to be used locally by health workers who gather it, and nationally for improving policy and practice, even in very resource-limited settings where ICD-10 coding systems such as those that exist in some high-income countries are not feasible or affordable. |
format | Online Article Text |
id | pubmed-4819636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48196362016-04-19 Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done Duke, Trevor Yano, Edilson Hutchinson, Adrian Hwaihwanje, Ilomo Aipit, Jimmy Tovilu, Mathias Uluk, Tarcisius Rongap, Theresia Vetuna, Beryl Lagani, William Amini, James Arch Dis Child Global Child Health Although the WHO recommends all countries use International Classification of Diseases (ICD)-10 coding for reporting health data, accurate health facility data are rarely available in developing or low and middle income countries. Compliance with ICD-10 is extremely resource intensive, and the lack of real data seriously undermines evidence-based approaches to improving quality of care and to clinical and public health programme management. We developed a simple tool for the collection of accurate admission and outcome data and implemented it in 16 provincial hospitals in Papua New Guinea over 6 years. The programme was low cost and easy to use by ward clerks and nurses. Over 6 years, it gathered data on the causes of 96 998 admissions of children and 7128 deaths. National reports on child morbidity and mortality were produced each year summarising the incidence and mortality rates for 21 common conditions of children and newborns, and the lessons learned for policy and practice. These data informed the National Policy and Plan for Child Health, triggered the implementation of a process of clinical quality improvement and other interventions to reduce mortality in the neediest areas, focusing on diseases with the highest burdens. It is possible to collect large-scale data on paediatric morbidity and mortality, to be used locally by health workers who gather it, and nationally for improving policy and practice, even in very resource-limited settings where ICD-10 coding systems such as those that exist in some high-income countries are not feasible or affordable. BMJ Publishing Group 2016-04 2015-10-21 /pmc/articles/PMC4819636/ /pubmed/26489801 http://dx.doi.org/10.1136/archdischild-2015-309353 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Global Child Health Duke, Trevor Yano, Edilson Hutchinson, Adrian Hwaihwanje, Ilomo Aipit, Jimmy Tovilu, Mathias Uluk, Tarcisius Rongap, Theresia Vetuna, Beryl Lagani, William Amini, James Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done |
title | Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done |
title_full | Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done |
title_fullStr | Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done |
title_full_unstemmed | Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done |
title_short | Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done |
title_sort | large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done |
topic | Global Child Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819636/ https://www.ncbi.nlm.nih.gov/pubmed/26489801 http://dx.doi.org/10.1136/archdischild-2015-309353 |
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