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The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations

Underreporting is a quality concern in mortality statistics. The purpose of this study was to assess and adjust underreporting in the population-based cause-of-death statistics. The total population (96 million) in Shandong, China was divided into 262 subcounty level populations geographically and b...

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Autores principales: Sun, Jiandong, Guo, Xiaolei, Lu, Zilong, Fu, Zhentao, Li, Xiujun, Chu, Jie, Zhang, Gaohui, Kou, Kou, Xue, Fuzhong, Xu, Aiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013111/
https://www.ncbi.nlm.nih.gov/pubmed/29928033
http://dx.doi.org/10.1371/journal.pone.0199133
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author Sun, Jiandong
Guo, Xiaolei
Lu, Zilong
Fu, Zhentao
Li, Xiujun
Chu, Jie
Zhang, Gaohui
Kou, Kou
Xue, Fuzhong
Xu, Aiqiang
author_facet Sun, Jiandong
Guo, Xiaolei
Lu, Zilong
Fu, Zhentao
Li, Xiujun
Chu, Jie
Zhang, Gaohui
Kou, Kou
Xue, Fuzhong
Xu, Aiqiang
author_sort Sun, Jiandong
collection PubMed
description Underreporting is a quality concern in mortality statistics. The purpose of this study was to assess and adjust underreporting in the population-based cause-of-death statistics. The total population (96 million) in Shandong, China was divided into 262 subcounty level populations geographically and by residence type (urban/rural). For each subpopulation, the total number of deaths during the years 2011–2013 was determined using data from the Household Registration System (HRS), and was used as a reference to assess the underreporting rate (UR) in the cause-of-death data from the Shandong Death Registration System (SDRS). It was estimated that 454,615 deaths, or 21.5% (95% CI: 21.4–21.5%) were unreported. Underreporting was more pronounced in rural (22.1%) versus urban communities (20.0%), in economically underdeveloped regions (32% versus 16% in least disadvantaged areas), and in newly included sites with no prior experience in cause-of-death reporting (24% versus 17%). Geographic variation was large with a UR at the prefectural level ranging from 11.2% to 43.7%. A stratified analysis showed that UR was higher in rural populations in high-income regions, but in middle- and low-income regions, was higher in urban communities. An adjustment factor (AF) was calculated for each of the 262 subpopulations (ranging from 0.9 to 2.5 with an average of 1.27). The total morality rate was adjusted from 6.03 to 7.67 deaths per 1000 persons. Underreporting in the SDRS varies greatly between areas and populations and is related to residence type, prior experience and local economy. Correcting underreporting at a local level is needed especially for comparative analyses across geographical areas or populations.
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spelling pubmed-60131112018-07-06 The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations Sun, Jiandong Guo, Xiaolei Lu, Zilong Fu, Zhentao Li, Xiujun Chu, Jie Zhang, Gaohui Kou, Kou Xue, Fuzhong Xu, Aiqiang PLoS One Research Article Underreporting is a quality concern in mortality statistics. The purpose of this study was to assess and adjust underreporting in the population-based cause-of-death statistics. The total population (96 million) in Shandong, China was divided into 262 subcounty level populations geographically and by residence type (urban/rural). For each subpopulation, the total number of deaths during the years 2011–2013 was determined using data from the Household Registration System (HRS), and was used as a reference to assess the underreporting rate (UR) in the cause-of-death data from the Shandong Death Registration System (SDRS). It was estimated that 454,615 deaths, or 21.5% (95% CI: 21.4–21.5%) were unreported. Underreporting was more pronounced in rural (22.1%) versus urban communities (20.0%), in economically underdeveloped regions (32% versus 16% in least disadvantaged areas), and in newly included sites with no prior experience in cause-of-death reporting (24% versus 17%). Geographic variation was large with a UR at the prefectural level ranging from 11.2% to 43.7%. A stratified analysis showed that UR was higher in rural populations in high-income regions, but in middle- and low-income regions, was higher in urban communities. An adjustment factor (AF) was calculated for each of the 262 subpopulations (ranging from 0.9 to 2.5 with an average of 1.27). The total morality rate was adjusted from 6.03 to 7.67 deaths per 1000 persons. Underreporting in the SDRS varies greatly between areas and populations and is related to residence type, prior experience and local economy. Correcting underreporting at a local level is needed especially for comparative analyses across geographical areas or populations. Public Library of Science 2018-06-21 /pmc/articles/PMC6013111/ /pubmed/29928033 http://dx.doi.org/10.1371/journal.pone.0199133 Text en © 2018 Sun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Jiandong
Guo, Xiaolei
Lu, Zilong
Fu, Zhentao
Li, Xiujun
Chu, Jie
Zhang, Gaohui
Kou, Kou
Xue, Fuzhong
Xu, Aiqiang
The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
title The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
title_full The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
title_fullStr The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
title_full_unstemmed The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
title_short The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
title_sort gap between cause-of-death statistics and household registration reports in shandong, china during 2011-2013: evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013111/
https://www.ncbi.nlm.nih.gov/pubmed/29928033
http://dx.doi.org/10.1371/journal.pone.0199133
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