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Mortality estimates for WHO SEAR countries: problems and prospects
Cause-specific mortality estimates for 11 countries located in the WHO’s South East Asia Region (WHO SEAR) are generated periodically by the Global Burden of Disease (GBD) and the WHO Global Health Estimates (GHE) analyses. A comparison of GBD and GHE estimates for 2019 for 11 specific causes of epi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568533/ https://www.ncbi.nlm.nih.gov/pubmed/34728480 http://dx.doi.org/10.1136/bmjgh-2021-007177 |
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author | Rao, Chalapati Bundhamcharoen, Kanitta Kelly, Matthew Tangcharoensathien, Viroj |
author_facet | Rao, Chalapati Bundhamcharoen, Kanitta Kelly, Matthew Tangcharoensathien, Viroj |
author_sort | Rao, Chalapati |
collection | PubMed |
description | Cause-specific mortality estimates for 11 countries located in the WHO’s South East Asia Region (WHO SEAR) are generated periodically by the Global Burden of Disease (GBD) and the WHO Global Health Estimates (GHE) analyses. A comparison of GBD and GHE estimates for 2019 for 11 specific causes of epidemiological importance to South East Asia was undertaken. An index of relative difference (RD) between the estimated numbers of deaths by sex for each cause from the two sources for each country was calculated, and categorised as marginal (RD=±0%–9%), moderate (RD=±10%–19%), high (RD=±20%–39%) and extreme (RD>±40%). The comparison identified that the RD was >10% in two-thirds of all instances. The RD was ‘high’ or ‘extreme’ for deaths from tuberculosis, diarrhoea, road injuries and suicide for most SEAR countries, and for deaths from most of the 11 causes in Bangladesh, DPR Korea, Myanmar, Nepal and Sri Lanka. For all WHO SEAR countries, mortality estimates from both sources are based on statistical models developed from an international historical cause-specific mortality data series that included very limited empirical data from the region. Also, there is no scientific rationale available to justify the reliability of one set of estimates over the other. The characteristics of national mortality statistics systems for each WHO SEAR country were analysed, to understand the reasons for weaknesses in empirical data. The systems analysis identified specific limitations in structure, organisation and implementation that affect data completeness, validity of causes of death and vital statistics production, which vary across countries. Therefore, customised national strategies are required to strengthen mortality statistics systems to meet immediate and long-term data needs for health policy and research, and reduce dependence on current unreliable modelled estimates. |
format | Online Article Text |
id | pubmed-8568533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-85685332021-11-05 Mortality estimates for WHO SEAR countries: problems and prospects Rao, Chalapati Bundhamcharoen, Kanitta Kelly, Matthew Tangcharoensathien, Viroj BMJ Glob Health Analysis Cause-specific mortality estimates for 11 countries located in the WHO’s South East Asia Region (WHO SEAR) are generated periodically by the Global Burden of Disease (GBD) and the WHO Global Health Estimates (GHE) analyses. A comparison of GBD and GHE estimates for 2019 for 11 specific causes of epidemiological importance to South East Asia was undertaken. An index of relative difference (RD) between the estimated numbers of deaths by sex for each cause from the two sources for each country was calculated, and categorised as marginal (RD=±0%–9%), moderate (RD=±10%–19%), high (RD=±20%–39%) and extreme (RD>±40%). The comparison identified that the RD was >10% in two-thirds of all instances. The RD was ‘high’ or ‘extreme’ for deaths from tuberculosis, diarrhoea, road injuries and suicide for most SEAR countries, and for deaths from most of the 11 causes in Bangladesh, DPR Korea, Myanmar, Nepal and Sri Lanka. For all WHO SEAR countries, mortality estimates from both sources are based on statistical models developed from an international historical cause-specific mortality data series that included very limited empirical data from the region. Also, there is no scientific rationale available to justify the reliability of one set of estimates over the other. The characteristics of national mortality statistics systems for each WHO SEAR country were analysed, to understand the reasons for weaknesses in empirical data. The systems analysis identified specific limitations in structure, organisation and implementation that affect data completeness, validity of causes of death and vital statistics production, which vary across countries. Therefore, customised national strategies are required to strengthen mortality statistics systems to meet immediate and long-term data needs for health policy and research, and reduce dependence on current unreliable modelled estimates. BMJ Publishing Group 2021-11-02 /pmc/articles/PMC8568533/ /pubmed/34728480 http://dx.doi.org/10.1136/bmjgh-2021-007177 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/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/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Analysis Rao, Chalapati Bundhamcharoen, Kanitta Kelly, Matthew Tangcharoensathien, Viroj Mortality estimates for WHO SEAR countries: problems and prospects |
title | Mortality estimates for WHO SEAR countries: problems and prospects |
title_full | Mortality estimates for WHO SEAR countries: problems and prospects |
title_fullStr | Mortality estimates for WHO SEAR countries: problems and prospects |
title_full_unstemmed | Mortality estimates for WHO SEAR countries: problems and prospects |
title_short | Mortality estimates for WHO SEAR countries: problems and prospects |
title_sort | mortality estimates for who sear countries: problems and prospects |
topic | Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568533/ https://www.ncbi.nlm.nih.gov/pubmed/34728480 http://dx.doi.org/10.1136/bmjgh-2021-007177 |
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