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Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú
BACKGROUND: Mortality statistics derived from cause of death data are an important source of information for population health monitoring, priority setting and planning. In Perú, almost all death certificates are issued by doctors because it is a legal requirement. However, the quality of cause of d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276144/ https://www.ncbi.nlm.nih.gov/pubmed/30509233 http://dx.doi.org/10.1186/s12889-018-6264-1 |
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author | Miki, Janet Rampatige, Rasika Richards, Nicola Adair, Tim Cortez-Escalante, Juan Vargas-Herrera, Javier |
author_facet | Miki, Janet Rampatige, Rasika Richards, Nicola Adair, Tim Cortez-Escalante, Juan Vargas-Herrera, Javier |
author_sort | Miki, Janet |
collection | PubMed |
description | BACKGROUND: Mortality statistics derived from cause of death data are an important source of information for population health monitoring, priority setting and planning. In Perú, almost all death certificates are issued by doctors because it is a legal requirement. However, the quality of cause of death data is poor. In August 2016, the Ministry of Health of Perú decided to make two specific interventions to improve cause of death data: to introduce an online death certification system and to train doctors in standard death certification practices. METHODS: The study comprised a random sample of 300 pre-intervention death certificates, 900 death certificates that were part of the online intervention, and 900 death certificates that were part of both the online and training interventions. All the deaths had occurred between January and September 2017. We used the Assessing the quality of death certification tool from the University of Melbourne for the assessment. We examined the frequency of common errors in death certificates, the frequency of any error and the average error score for each category of: age group, sex, doctor’s seniority, doctor’s speciality, level of health facility and broad cause of death. RESULTS: The average error score declined by 38% due to the online intervention and by a further 26% due to the training intervention. Improved certification practices remained after controlling for potentially confounding factors. Main improvements were reductions in the absence of a time interval (66% of certificates), incorrect sequence of causes (22%), and ill-defined conditions (13%). CONCLUSIONS: This study demonstrates how the two interventions introduced by the Ministry of Health in Perú improved the correctness of death certificates. The study also provides evidence on necessary changes to the training program to address the poor certification practices that have remained after implementation of the online system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6264-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6276144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62761442018-12-06 Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú Miki, Janet Rampatige, Rasika Richards, Nicola Adair, Tim Cortez-Escalante, Juan Vargas-Herrera, Javier BMC Public Health Research Article BACKGROUND: Mortality statistics derived from cause of death data are an important source of information for population health monitoring, priority setting and planning. In Perú, almost all death certificates are issued by doctors because it is a legal requirement. However, the quality of cause of death data is poor. In August 2016, the Ministry of Health of Perú decided to make two specific interventions to improve cause of death data: to introduce an online death certification system and to train doctors in standard death certification practices. METHODS: The study comprised a random sample of 300 pre-intervention death certificates, 900 death certificates that were part of the online intervention, and 900 death certificates that were part of both the online and training interventions. All the deaths had occurred between January and September 2017. We used the Assessing the quality of death certification tool from the University of Melbourne for the assessment. We examined the frequency of common errors in death certificates, the frequency of any error and the average error score for each category of: age group, sex, doctor’s seniority, doctor’s speciality, level of health facility and broad cause of death. RESULTS: The average error score declined by 38% due to the online intervention and by a further 26% due to the training intervention. Improved certification practices remained after controlling for potentially confounding factors. Main improvements were reductions in the absence of a time interval (66% of certificates), incorrect sequence of causes (22%), and ill-defined conditions (13%). CONCLUSIONS: This study demonstrates how the two interventions introduced by the Ministry of Health in Perú improved the correctness of death certificates. The study also provides evidence on necessary changes to the training program to address the poor certification practices that have remained after implementation of the online system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6264-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-03 /pmc/articles/PMC6276144/ /pubmed/30509233 http://dx.doi.org/10.1186/s12889-018-6264-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Miki, Janet Rampatige, Rasika Richards, Nicola Adair, Tim Cortez-Escalante, Juan Vargas-Herrera, Javier Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú |
title | Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú |
title_full | Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú |
title_fullStr | Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú |
title_full_unstemmed | Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú |
title_short | Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú |
title_sort | saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in perú |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276144/ https://www.ncbi.nlm.nih.gov/pubmed/30509233 http://dx.doi.org/10.1186/s12889-018-6264-1 |
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