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Measuring the completeness of death registration in 2844 Chinese counties in 2018

BACKGROUND: Death registration completeness has never been assessed at the county level in China. Such analyses would provide critical intelligence to monitor the performance of the vital registration system and yield adjustment factors to correct death registration data, thereby increasing their po...

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Autores principales: Zeng, Xinying, Adair, Tim, Wang, Lijun, Yin, Peng, Qi, Jinlei, Liu, Yunning, Liu, Jiangmei, Lopez, Alan D., Zhou, Maigeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333385/
https://www.ncbi.nlm.nih.gov/pubmed/32615965
http://dx.doi.org/10.1186/s12916-020-01632-8
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author Zeng, Xinying
Adair, Tim
Wang, Lijun
Yin, Peng
Qi, Jinlei
Liu, Yunning
Liu, Jiangmei
Lopez, Alan D.
Zhou, Maigeng
author_facet Zeng, Xinying
Adair, Tim
Wang, Lijun
Yin, Peng
Qi, Jinlei
Liu, Yunning
Liu, Jiangmei
Lopez, Alan D.
Zhou, Maigeng
author_sort Zeng, Xinying
collection PubMed
description BACKGROUND: Death registration completeness has never been assessed at the county level in China. Such analyses would provide critical intelligence to monitor the performance of the vital registration system and yield adjustment factors to correct death registration data, thereby increasing their policy utility. METHODS: We estimated the completeness of death registration for 31 provinces and 2844 counties of China in 2018 based on death data from the China Cause of Death Reporting System (CDRS) by using the empirical completeness method. We computed the root mean square difference (RMSD) of county-level completeness compared with provincial-level completeness to study intra-provincial variations. A two-level (province and county) logistic regression model was fitted to explore the association between county-level registration completeness and a set of covariates reflecting socioeconomic status, healthcare quality, and specific strategies and regulations designed to improve registration. RESULTS: In 2018, the overall death registration completeness for the CDRS in China was 74.2% (95% uncertainty interval [UI] 66.2–80.4), with very little difference for males and females. Geographical differences in completeness were higher across counties than across provinces. The county-level completeness ranged from 2.4% (95% UI 1.0–5.0%) in Burang County, Tibet, to 100.0% (95% UI 99.9–100.0%) in Guandu District, Yunnan. The coastal provinces of Jiangsu, Guangdong, and Fujian, with higher overall completeness, contained counties with low completeness; conversely, the underdeveloped provinces of Guangxi and Guizhou, with lower overall completeness, included some counties with high completeness. GDP, education, population density, minority population, healthcare access, and registration strategies were important drivers of the geographical differences in registration completeness. CONCLUSIONS: There are marked inequalities in registration completeness at the county level and within provinces in China. The socioeconomic condition, the implementation of specific registration-enhancing initiatives, and the availability and quality of medical care were the primary drivers of the observed geographical variation. A more strategic approach, with more research, is required to identify the main reasons for death under-reporting, especially in the poorer performing counties, to guide remedial action.
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spelling pubmed-73333852020-07-06 Measuring the completeness of death registration in 2844 Chinese counties in 2018 Zeng, Xinying Adair, Tim Wang, Lijun Yin, Peng Qi, Jinlei Liu, Yunning Liu, Jiangmei Lopez, Alan D. Zhou, Maigeng BMC Med Research Article BACKGROUND: Death registration completeness has never been assessed at the county level in China. Such analyses would provide critical intelligence to monitor the performance of the vital registration system and yield adjustment factors to correct death registration data, thereby increasing their policy utility. METHODS: We estimated the completeness of death registration for 31 provinces and 2844 counties of China in 2018 based on death data from the China Cause of Death Reporting System (CDRS) by using the empirical completeness method. We computed the root mean square difference (RMSD) of county-level completeness compared with provincial-level completeness to study intra-provincial variations. A two-level (province and county) logistic regression model was fitted to explore the association between county-level registration completeness and a set of covariates reflecting socioeconomic status, healthcare quality, and specific strategies and regulations designed to improve registration. RESULTS: In 2018, the overall death registration completeness for the CDRS in China was 74.2% (95% uncertainty interval [UI] 66.2–80.4), with very little difference for males and females. Geographical differences in completeness were higher across counties than across provinces. The county-level completeness ranged from 2.4% (95% UI 1.0–5.0%) in Burang County, Tibet, to 100.0% (95% UI 99.9–100.0%) in Guandu District, Yunnan. The coastal provinces of Jiangsu, Guangdong, and Fujian, with higher overall completeness, contained counties with low completeness; conversely, the underdeveloped provinces of Guangxi and Guizhou, with lower overall completeness, included some counties with high completeness. GDP, education, population density, minority population, healthcare access, and registration strategies were important drivers of the geographical differences in registration completeness. CONCLUSIONS: There are marked inequalities in registration completeness at the county level and within provinces in China. The socioeconomic condition, the implementation of specific registration-enhancing initiatives, and the availability and quality of medical care were the primary drivers of the observed geographical variation. A more strategic approach, with more research, is required to identify the main reasons for death under-reporting, especially in the poorer performing counties, to guide remedial action. BioMed Central 2020-07-03 /pmc/articles/PMC7333385/ /pubmed/32615965 http://dx.doi.org/10.1186/s12916-020-01632-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Zeng, Xinying
Adair, Tim
Wang, Lijun
Yin, Peng
Qi, Jinlei
Liu, Yunning
Liu, Jiangmei
Lopez, Alan D.
Zhou, Maigeng
Measuring the completeness of death registration in 2844 Chinese counties in 2018
title Measuring the completeness of death registration in 2844 Chinese counties in 2018
title_full Measuring the completeness of death registration in 2844 Chinese counties in 2018
title_fullStr Measuring the completeness of death registration in 2844 Chinese counties in 2018
title_full_unstemmed Measuring the completeness of death registration in 2844 Chinese counties in 2018
title_short Measuring the completeness of death registration in 2844 Chinese counties in 2018
title_sort measuring the completeness of death registration in 2844 chinese counties in 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333385/
https://www.ncbi.nlm.nih.gov/pubmed/32615965
http://dx.doi.org/10.1186/s12916-020-01632-8
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