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Estimating mortality using data from civil registration: a cross-sectional study in India

OBJECTIVE: To analyse the design and operational status of India’s civil registration and vital statistics system and facilitate the system’s development into an accurate and reliable source of mortality data. METHODS: We assessed the national civil registration and vital statistics system’s legal f...

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Autores principales: Gupta, Mamta, Rao, Chalapati, Lakshmi, PVM, Prinja, Shankar, Kumar, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709797/
https://www.ncbi.nlm.nih.gov/pubmed/26769992
http://dx.doi.org/10.2471/BLT.15.153585
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author Gupta, Mamta
Rao, Chalapati
Lakshmi, PVM
Prinja, Shankar
Kumar, Rajesh
author_facet Gupta, Mamta
Rao, Chalapati
Lakshmi, PVM
Prinja, Shankar
Kumar, Rajesh
author_sort Gupta, Mamta
collection PubMed
description OBJECTIVE: To analyse the design and operational status of India’s civil registration and vital statistics system and facilitate the system’s development into an accurate and reliable source of mortality data. METHODS: We assessed the national civil registration and vital statistics system’s legal framework, administrative structure and design through document review. We did a cross-sectional study for the year 2013 at national level and in Punjab state to assess the quality of the system’s mortality data through analyses of life tables and investigation of the completeness of death registration and the proportion of deaths assigned ill-defined causes. We interviewed registrars, medical officers and coders in Punjab state to assess their knowledge and practice. FINDINGS: Although we found the legal framework and system design to be appropriate, data collection was based on complex intersectoral collaborations at state and local level and the collected data were found to be of poor quality. The registration data were inadequate for a robust estimate of mortality at national level. A medically certified cause of death was only recorded for 965 992 (16.8%) of the 5 735 082 deaths registered. CONCLUSION: The data recorded by India’s civil registration and vital statistics system in 2011 were incomplete. If improved, the system could be used to reliably estimate mortality. We recommend improving political support and intersectoral coordination, capacity building, computerization and state-level initiatives to ensure that every death is registered and that reliable causes of death are recorded – at least within an adequate sample of registration units within each state.
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spelling pubmed-47097972016-01-14 Estimating mortality using data from civil registration: a cross-sectional study in India Gupta, Mamta Rao, Chalapati Lakshmi, PVM Prinja, Shankar Kumar, Rajesh Bull World Health Organ Research OBJECTIVE: To analyse the design and operational status of India’s civil registration and vital statistics system and facilitate the system’s development into an accurate and reliable source of mortality data. METHODS: We assessed the national civil registration and vital statistics system’s legal framework, administrative structure and design through document review. We did a cross-sectional study for the year 2013 at national level and in Punjab state to assess the quality of the system’s mortality data through analyses of life tables and investigation of the completeness of death registration and the proportion of deaths assigned ill-defined causes. We interviewed registrars, medical officers and coders in Punjab state to assess their knowledge and practice. FINDINGS: Although we found the legal framework and system design to be appropriate, data collection was based on complex intersectoral collaborations at state and local level and the collected data were found to be of poor quality. The registration data were inadequate for a robust estimate of mortality at national level. A medically certified cause of death was only recorded for 965 992 (16.8%) of the 5 735 082 deaths registered. CONCLUSION: The data recorded by India’s civil registration and vital statistics system in 2011 were incomplete. If improved, the system could be used to reliably estimate mortality. We recommend improving political support and intersectoral coordination, capacity building, computerization and state-level initiatives to ensure that every death is registered and that reliable causes of death are recorded – at least within an adequate sample of registration units within each state. World Health Organization 2016-01-01 2015-11-02 /pmc/articles/PMC4709797/ /pubmed/26769992 http://dx.doi.org/10.2471/BLT.15.153585 Text en (c) 2016 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
Gupta, Mamta
Rao, Chalapati
Lakshmi, PVM
Prinja, Shankar
Kumar, Rajesh
Estimating mortality using data from civil registration: a cross-sectional study in India
title Estimating mortality using data from civil registration: a cross-sectional study in India
title_full Estimating mortality using data from civil registration: a cross-sectional study in India
title_fullStr Estimating mortality using data from civil registration: a cross-sectional study in India
title_full_unstemmed Estimating mortality using data from civil registration: a cross-sectional study in India
title_short Estimating mortality using data from civil registration: a cross-sectional study in India
title_sort estimating mortality using data from civil registration: a cross-sectional study in india
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709797/
https://www.ncbi.nlm.nih.gov/pubmed/26769992
http://dx.doi.org/10.2471/BLT.15.153585
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