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Published in: BMC Medicine 1/2020

Open Access 01-12-2020 | Research article

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

Authors: Xinying Zeng, Tim Adair, Lijun Wang, Peng Yin, Jinlei Qi, Yunning Liu, Jiangmei Liu, Alan D. Lopez, Maigeng Zhou

Published in: BMC Medicine | Issue 1/2020

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Abstract

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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Literature
1.
go back to reference Lopez AD, Mikkelsen L, Rampatige R, Upham S, AbouZahr C, Gamage S, de Savigny D, Schmider A, Strengthening civil registration and vital statistics for births, deaths and causes of death: resource kit. Geneva: World Health Organization; 2012. Lopez AD, Mikkelsen L, Rampatige R, Upham S, AbouZahr C, Gamage S, de Savigny D, Schmider A, Strengthening civil registration and vital statistics for births, deaths and causes of death: resource kit. Geneva: World Health Organization; 2012.
2.
go back to reference Yang G, Hu JP, Rao KQ, Ma JM, Rao C, Lopez AD. Mortality registration and surveillance in China: history, current situation and challenges. Popul Health Metrics. 2005;3(1):3. Yang G, Hu JP, Rao KQ, Ma JM, Rao C, Lopez AD. Mortality registration and surveillance in China: history, current situation and challenges. Popul Health Metrics. 2005;3(1):3.
3.
go back to reference Liu SW, Wu XL, Lopez AD, Wang LJ, Cai Y, Page A, et al. An integrated national mortality surveillance system for death registration and mortality surveillance, China. Bull World Health Organ. 2016;94(1):46–57.PubMed Liu SW, Wu XL, Lopez AD, Wang LJ, Cai Y, Page A, et al. An integrated national mortality surveillance system for death registration and mortality surveillance, China. Bull World Health Organ. 2016;94(1):46–57.PubMed
4.
go back to reference Yang G. Selection of DSP points in second stage and their presentation. Chin J Epidemiol. 1992;13(4):197–201. Yang G. Selection of DSP points in second stage and their presentation. Chin J Epidemiol. 1992;13(4):197–201.
5.
go back to reference Zhou MG, Jiang Y, Huang ZJ, Wu F. Adjustment and representativeness evaluation of national disease surveillance points system. Dis Surveill. 2010;25(3):239–44. Zhou MG, Jiang Y, Huang ZJ, Wu F. Adjustment and representativeness evaluation of national disease surveillance points system. Dis Surveill. 2010;25(3):239–44.
6.
go back to reference The National Health and Family Planning Commission, the Ministry of Public Security, the Ministry of Civil Affairs of the People’s Republic of China. Notice to strengthen the administration of medical certificates and the registration of deaths. Bull Minist Public Secur People’s Republic of China. 2014;1:19–26. The National Health and Family Planning Commission, the Ministry of Public Security, the Ministry of Civil Affairs of the People’s Republic of China. Notice to strengthen the administration of medical certificates and the registration of deaths. Bull Minist Public Secur People’s Republic of China. 2014;1:19–26.
7.
go back to reference The National Health and Family Planning Commission. Notice of the management of population death information registration. Bull Natl Health Family Plann Comm People’s Republic of China. 2014;12:37–40. The National Health and Family Planning Commission. Notice of the management of population death information registration. Bull Natl Health Family Plann Comm People’s Republic of China. 2014;12:37–40.
8.
go back to reference GBD2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–88. GBD2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–88.
9.
go back to reference AbouZahr C, Savigny D, Mikkelsen L, Setel PW, Lozano R, Nichols E, et al. Civil registration and vital statistics: progress in the data revolution for counting and accountability. Lancet. 2015;386(10001):1373–85.PubMed AbouZahr C, Savigny D, Mikkelsen L, Setel PW, Lozano R, Nichols E, et al. Civil registration and vital statistics: progress in the data revolution for counting and accountability. Lancet. 2015;386(10001):1373–85.PubMed
11.
go back to reference Zeng XY, Wang LJ, Yin P, Liu YN, Liu JM, You JL, et al. Subnational analysis of healthcare access and quality in China during 1990-2015. Chin Sci Bull. 2018;63(25):2631–40. Zeng XY, Wang LJ, Yin P, Liu YN, Liu JM, You JL, et al. Subnational analysis of healthcare access and quality in China during 1990-2015. Chin Sci Bull. 2018;63(25):2631–40.
12.
go back to reference Adair T, Lopez AD. Estimating the completeness of death registration: an empirical method. PLoS One. 2018;13(5):e0197047.PubMedPubMedCentral Adair T, Lopez AD. Estimating the completeness of death registration: an empirical method. PLoS One. 2018;13(5):e0197047.PubMedPubMedCentral
13.
go back to reference Wang YP, Li XH, Zhou MG, Luo SS, Liang J, Liddell CA, et al. Under-5 mortality in 2851 Chinese counties, 1996–2012: a subnational assessment of achieving MDG 4 goals in China. Lancet. 2016;387(10015):273–83.PubMed Wang YP, Li XH, Zhou MG, Luo SS, Liang J, Liddell CA, et al. Under-5 mortality in 2851 Chinese counties, 1996–2012: a subnational assessment of achieving MDG 4 goals in China. Lancet. 2016;387(10015):273–83.PubMed
15.
go back to reference Merlo J, Chaix B, Ohlsson H, Beckman A, Johnell K, Hjerpe P, et al. A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health. 2006;60(4):290–7.PubMedPubMedCentral Merlo J, Chaix B, Ohlsson H, Beckman A, Johnell K, Hjerpe P, et al. A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health. 2006;60(4):290–7.PubMedPubMedCentral
16.
go back to reference Merlo J, Yang M, Chaix B, Lynch J, Rastam L. A brief conceptual tutorial on multilevel analysis in social epidemiology: investigating contextual phenomena in different groups of people. J Epidemiol Community Health. 2005;59(9):729–36.PubMedPubMedCentral Merlo J, Yang M, Chaix B, Lynch J, Rastam L. A brief conceptual tutorial on multilevel analysis in social epidemiology: investigating contextual phenomena in different groups of people. J Epidemiol Community Health. 2005;59(9):729–36.PubMedPubMedCentral
17.
go back to reference Hong TT, Phuong Hoa N, Walker SM, Hill PS, Rao C. Completeness and reliability of mortality data in Viet Nam: implications for the national routine health management information system. PLoS One. 2018;13(1):e0190755.PubMedPubMedCentral Hong TT, Phuong Hoa N, Walker SM, Hill PS, Rao C. Completeness and reliability of mortality data in Viet Nam: implications for the national routine health management information system. PLoS One. 2018;13(1):e0190755.PubMedPubMedCentral
18.
go back to reference Mahapatra P, Chalapati Rao PV. Cause of death reporting systems in India: a performance analysis. Natl Med J India. 2001;14(3):154–62.PubMed Mahapatra P, Chalapati Rao PV. Cause of death reporting systems in India: a performance analysis. Natl Med J India. 2001;14(3):154–62.PubMed
19.
go back to reference Wang L, Wang LJ, Cai Y, Ma LM, Zhou MG. Analysis of under-reporting of mortality surveillance from 2006 to 2008 in China. Chin J Prev Med. 2011;45(12):1061–4. Wang L, Wang LJ, Cai Y, Ma LM, Zhou MG. Analysis of under-reporting of mortality surveillance from 2006 to 2008 in China. Chin J Prev Med. 2011;45(12):1061–4.
20.
go back to reference Prasartkul P, Vapattanawong P. The completeness of death registration in Thailand: evidence from demographic surveillance system of the Kanchanaburi Project. World Health Popul. 2006;8(3):43–51.PubMed Prasartkul P, Vapattanawong P. The completeness of death registration in Thailand: evidence from demographic surveillance system of the Kanchanaburi Project. World Health Popul. 2006;8(3):43–51.PubMed
23.
go back to reference Yang RK, Xue M, Lin QS, Zhou XH, Cai Y. The methodology study of realizing the full coverage of vital registration in China through multi-source data comparison. Chin J Health Inform Manage. 2019;16(2):192–7. Yang RK, Xue M, Lin QS, Zhou XH, Cai Y. The methodology study of realizing the full coverage of vital registration in China through multi-source data comparison. Chin J Health Inform Manage. 2019;16(2):192–7.
24.
go back to reference Wang JY. Trends in life expectancies and mortality patterns in China since 1990: a further examination and analysis. Popul Res. 2013;37(4):3–18. Wang JY. Trends in life expectancies and mortality patterns in China since 1990: a further examination and analysis. Popul Res. 2013;37(4):3–18.
25.
go back to reference Li SZ, Sun FB. Mortality analysis of China’s 2000 population census data: a preliminary examination. China Rev. 2003;3(2):31–48. Li SZ, Sun FB. Mortality analysis of China’s 2000 population census data: a preliminary examination. China Rev. 2003;3(2):31–48.
26.
go back to reference Wang JY, Ge YX. Assessment of 2010 census data quality and past population changes. Popul Res. 2013;37(1):22–33. Wang JY, Ge YX. Assessment of 2010 census data quality and past population changes. Popul Res. 2013;37(1):22–33.
27.
go back to reference Guo K, Yin P, Wang LJ, Ji YB, Li QF, Bishai D, Liu SW, et al. Propensity score weighting for addressing under-reporting in mortality surveillance: a proof-of-concept study using the nationally representative mortality data in China. Popul Health Metrics. 2015;13:16. Guo K, Yin P, Wang LJ, Ji YB, Li QF, Bishai D, Liu SW, et al. Propensity score weighting for addressing under-reporting in mortality surveillance: a proof-of-concept study using the nationally representative mortality data in China. Popul Health Metrics. 2015;13:16.
28.
go back to reference Carla A, Lisa Grace SB, Lourdes H, Gulnara K, Lyaziza S. Strengthening civil registration and vital statistics in the Asia-Pacific region-learning from country experiences. Asia-Pac Popul J. 2016;29(1):39–73. Carla A, Lisa Grace SB, Lourdes H, Gulnara K, Lyaziza S. Strengthening civil registration and vital statistics in the Asia-Pacific region-learning from country experiences. Asia-Pac Popul J. 2016;29(1):39–73.
32.
go back to reference Zhou MG, Yang G. Factors associated with place of death in China. Dis Surveill. 2009;24(5):382–5. Zhou MG, Yang G. Factors associated with place of death in China. Dis Surveill. 2009;24(5):382–5.
33.
go back to reference Pingcuo ZM, Qi JL, Gama CJ, Li YJ. Analysis of major causes of death and burden of disease of residents in Tibet Autonomous Region in 2015. Dis Surveill. 2019;1(34):66–9. Pingcuo ZM, Qi JL, Gama CJ, Li YJ. Analysis of major causes of death and burden of disease of residents in Tibet Autonomous Region in 2015. Dis Surveill. 2019;1(34):66–9.
34.
go back to reference Chen GB. A brief analysis of the impact of geographical environment on the changes of Tibetan funeral forms. History Issue. 2012;10:28–9. Chen GB. A brief analysis of the impact of geographical environment on the changes of Tibetan funeral forms. History Issue. 2012;10:28–9.
35.
go back to reference Phillips DE, AbouZahr C, Lopez AD, Mikkelsen L, de Savigny D, Lozano R, et al. Are well functioning civil registration and vital statistics systems associated with better health outcomes? Lancet. 2015;386(10001):1386–94.PubMed Phillips DE, AbouZahr C, Lopez AD, Mikkelsen L, de Savigny D, Lozano R, et al. Are well functioning civil registration and vital statistics systems associated with better health outcomes? Lancet. 2015;386(10001):1386–94.PubMed
Metadata
Title
Measuring the completeness of death registration in 2844 Chinese counties in 2018
Authors
Xinying Zeng
Tim Adair
Lijun Wang
Peng Yin
Jinlei Qi
Yunning Liu
Jiangmei Liu
Alan D. Lopez
Maigeng Zhou
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2020
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-020-01632-8

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