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Elements of a strategic approach for strengthening national mortality statistics programmes

Information on cause-specific mortality from civil registration and vital statistics (CRVS) systems is essential for health policy and epidemiological research. Currently, there are critical gaps in the international availability of timely and reliable mortality data, which limits planned progress t...

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Autor principal: Rao, Chalapati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797430/
https://www.ncbi.nlm.nih.gov/pubmed/31681480
http://dx.doi.org/10.1136/bmjgh-2019-001810
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author Rao, Chalapati
author_facet Rao, Chalapati
author_sort Rao, Chalapati
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description Information on cause-specific mortality from civil registration and vital statistics (CRVS) systems is essential for health policy and epidemiological research. Currently, there are critical gaps in the international availability of timely and reliable mortality data, which limits planned progress towards the UN Sustainable Development Goals. This article describes an evidence-based strategic approach for strengthening mortality data from CRVS systems. National mortality data availability scores from the Global Burden of Disease study were used to group countries into those with adequate, partial or negligible mortality data. These were further categorised by geographical region and population size, which showed that there were shortcomings in availability of mortality data in approximately two-thirds of all countries. Existing frameworks for evaluating design and functional status of mortality components of CRVS systems were reviewed to identify themes and topics for assessment. Detailed national programme assessments can be used to investigate systemic issues that are likely to affect death reporting, cause of death ascertainment and data management. Assessment findings can guide interventions to strengthen system performance. The strategic national approach should be customised according to data availability and population size and supported by human and institutional capacity building. Countries with larger populations should use an incremental sampling approach to strengthen CRVS systems and use interim data for mortality estimation. Periodic data quality evaluation is required to monitor system performance and scale up interventions. A comprehensive implementation and operations research programme should be concurrently launched to evaluate the feasibility, success and sustainability of system strengthening activities.
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spelling pubmed-67974302019-11-01 Elements of a strategic approach for strengthening national mortality statistics programmes Rao, Chalapati BMJ Glob Health Analysis Information on cause-specific mortality from civil registration and vital statistics (CRVS) systems is essential for health policy and epidemiological research. Currently, there are critical gaps in the international availability of timely and reliable mortality data, which limits planned progress towards the UN Sustainable Development Goals. This article describes an evidence-based strategic approach for strengthening mortality data from CRVS systems. National mortality data availability scores from the Global Burden of Disease study were used to group countries into those with adequate, partial or negligible mortality data. These were further categorised by geographical region and population size, which showed that there were shortcomings in availability of mortality data in approximately two-thirds of all countries. Existing frameworks for evaluating design and functional status of mortality components of CRVS systems were reviewed to identify themes and topics for assessment. Detailed national programme assessments can be used to investigate systemic issues that are likely to affect death reporting, cause of death ascertainment and data management. Assessment findings can guide interventions to strengthen system performance. The strategic national approach should be customised according to data availability and population size and supported by human and institutional capacity building. Countries with larger populations should use an incremental sampling approach to strengthen CRVS systems and use interim data for mortality estimation. Periodic data quality evaluation is required to monitor system performance and scale up interventions. A comprehensive implementation and operations research programme should be concurrently launched to evaluate the feasibility, success and sustainability of system strengthening activities. BMJ Publishing Group 2019-10-14 /pmc/articles/PMC6797430/ /pubmed/31681480 http://dx.doi.org/10.1136/bmjgh-2019-001810 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Analysis
Rao, Chalapati
Elements of a strategic approach for strengthening national mortality statistics programmes
title Elements of a strategic approach for strengthening national mortality statistics programmes
title_full Elements of a strategic approach for strengthening national mortality statistics programmes
title_fullStr Elements of a strategic approach for strengthening national mortality statistics programmes
title_full_unstemmed Elements of a strategic approach for strengthening national mortality statistics programmes
title_short Elements of a strategic approach for strengthening national mortality statistics programmes
title_sort elements of a strategic approach for strengthening national mortality statistics programmes
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797430/
https://www.ncbi.nlm.nih.gov/pubmed/31681480
http://dx.doi.org/10.1136/bmjgh-2019-001810
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