估计巴西国家和次国家死亡报告的完整性:记录关联方法的应用。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Population Health Metrics Pub Date : 2020-09-04 DOI:10.1186/s12963-020-00223-2
Luiz Fernando Lima Costa, Marli de Mesquita Silva Montenegro, Dacio de Lyra Rabello Neto, Antonio Tadeu Ribeiro de Oliveira, Jose Eduardo de Oliveira Trindade, Tim Adair, Maria de Fatima Marinho
{"title":"估计巴西国家和次国家死亡报告的完整性:记录关联方法的应用。","authors":"Luiz Fernando Lima Costa,&nbsp;Marli de Mesquita Silva Montenegro,&nbsp;Dacio de Lyra Rabello Neto,&nbsp;Antonio Tadeu Ribeiro de Oliveira,&nbsp;Jose Eduardo de Oliveira Trindade,&nbsp;Tim Adair,&nbsp;Maria de Fatima Marinho","doi":"10.1186/s12963-020-00223-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In Brazil, both the Civil Registry (CR) and Ministry of Health (MoH) Mortality Information System (SIM) are sources of routine mortality data, but neither is 100% complete. Deaths from these two sources can be linked to facilitate estimation of completeness of mortality reporting and measurement of adjusted mortality indicators using generalized linear modeling (GLM).</p><p><strong>Methods: </strong>The 2015 and 2016 CR and SIM data were linked using deterministic methods. GLM with covariates of the deceased's sex, age, state of residence, cause of death and place of death, and municipality-level education decile and population density decile, was used to estimate total deaths and completeness nationally, subnationally and by population sub-group, and to identify the characteristics of unreported deaths. The empirical completeness method and Global Burden of Disease (GBD) 2017 estimates were comparators at the national and state level.</p><p><strong>Results: </strong>Completeness was 98% for SIM and 95% for CR. The vast majority of deaths in Brazil were captured by either system and 94% were reported by both sources. For each source, completeness was lowest in the north. SIM completeness was consistently high across all sub-groups while CR completeness was lowest for deaths at younger ages, outside facilities, and in the lowest deciles of municipality education and population density. There was no clear municipality-level relationship in SIM and CR completeness, suggesting minimal dependence between sources. The empirical completeness method model 1 and GBD completeness estimates were each, on average, less than three percentage points different from GLM estimates at the state level. Life expectancy was lowest in the northeast and 7.5 years higher in females than males.</p><p><strong>Conclusions: </strong>GLM using socio-economic and demographic covariates is a valuable tool to accurately estimate completeness from linked data sources. Close scrutiny of the quality of variables used to link deaths, targeted identification of unreported deaths in poorer, northern states, and closer coordination of the two systems will help Brazil achieve 100% death reporting completeness. The results also confirm the validity of the empirical completeness method.</p>","PeriodicalId":51476,"journal":{"name":"Population Health Metrics","volume":"18 1","pages":"22"},"PeriodicalIF":3.2000,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12963-020-00223-2","citationCount":"19","resultStr":"{\"title\":\"Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods.\",\"authors\":\"Luiz Fernando Lima Costa,&nbsp;Marli de Mesquita Silva Montenegro,&nbsp;Dacio de Lyra Rabello Neto,&nbsp;Antonio Tadeu Ribeiro de Oliveira,&nbsp;Jose Eduardo de Oliveira Trindade,&nbsp;Tim Adair,&nbsp;Maria de Fatima Marinho\",\"doi\":\"10.1186/s12963-020-00223-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In Brazil, both the Civil Registry (CR) and Ministry of Health (MoH) Mortality Information System (SIM) are sources of routine mortality data, but neither is 100% complete. Deaths from these two sources can be linked to facilitate estimation of completeness of mortality reporting and measurement of adjusted mortality indicators using generalized linear modeling (GLM).</p><p><strong>Methods: </strong>The 2015 and 2016 CR and SIM data were linked using deterministic methods. GLM with covariates of the deceased's sex, age, state of residence, cause of death and place of death, and municipality-level education decile and population density decile, was used to estimate total deaths and completeness nationally, subnationally and by population sub-group, and to identify the characteristics of unreported deaths. The empirical completeness method and Global Burden of Disease (GBD) 2017 estimates were comparators at the national and state level.</p><p><strong>Results: </strong>Completeness was 98% for SIM and 95% for CR. The vast majority of deaths in Brazil were captured by either system and 94% were reported by both sources. For each source, completeness was lowest in the north. SIM completeness was consistently high across all sub-groups while CR completeness was lowest for deaths at younger ages, outside facilities, and in the lowest deciles of municipality education and population density. There was no clear municipality-level relationship in SIM and CR completeness, suggesting minimal dependence between sources. The empirical completeness method model 1 and GBD completeness estimates were each, on average, less than three percentage points different from GLM estimates at the state level. Life expectancy was lowest in the northeast and 7.5 years higher in females than males.</p><p><strong>Conclusions: </strong>GLM using socio-economic and demographic covariates is a valuable tool to accurately estimate completeness from linked data sources. Close scrutiny of the quality of variables used to link deaths, targeted identification of unreported deaths in poorer, northern states, and closer coordination of the two systems will help Brazil achieve 100% death reporting completeness. The results also confirm the validity of the empirical completeness method.</p>\",\"PeriodicalId\":51476,\"journal\":{\"name\":\"Population Health Metrics\",\"volume\":\"18 1\",\"pages\":\"22\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2020-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s12963-020-00223-2\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Population Health Metrics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12963-020-00223-2\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population Health Metrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12963-020-00223-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 19

摘要

背景:在巴西,民事登记处(CR)和卫生部(MoH)死亡率信息系统(SIM)都是常规死亡率数据的来源,但两者都不是100%完整。可以将这两种来源的死亡联系起来,以方便估计死亡率报告的完整性,并使用广义线性模型(GLM)测量调整后的死亡率指标。方法:采用确定性方法对2015年和2016年的CR和SIM数据进行关联。GLM的协变量包括死者的性别、年龄、居住州、死亡原因和死亡地点,以及市级教育十分位数和人口密度十分位数,用于估计全国、次全国和人口亚组的总死亡人数和完整性,并确定未报告死亡的特征。经验完备性方法和2017年全球疾病负担(GBD)估计值在国家和州一级进行比较。结果:SIM的完整性为98%,CR的完整性为95%。巴西绝大多数死亡病例均由任一系统捕获,94%由两种来源报告。对于每个来源,北部的完整性最低。在所有亚组中,SIM完整性始终较高,而年龄较小、设施外死亡以及市政教育和人口密度最低的十分位数的CR完整性最低。在SIM和CR完整性方面没有明确的市级关系,表明来源之间的依赖性很小。在国家层面上,经验完备性方法模型1和GBD完备性估计与GLM估计的平均差异小于3个百分点。东北地区的预期寿命最低,女性比男性高7.5岁。结论:使用社会经济和人口统计协变量的GLM是一种有价值的工具,可以准确估计关联数据源的完整性。密切审查用于联系死亡的变量的质量,有针对性地查明较贫穷的北部各州未报告的死亡情况,以及更密切地协调这两个系统,将有助于巴西实现100%的死亡报告完整性。研究结果也证实了经验完备性方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods.

Background: In Brazil, both the Civil Registry (CR) and Ministry of Health (MoH) Mortality Information System (SIM) are sources of routine mortality data, but neither is 100% complete. Deaths from these two sources can be linked to facilitate estimation of completeness of mortality reporting and measurement of adjusted mortality indicators using generalized linear modeling (GLM).

Methods: The 2015 and 2016 CR and SIM data were linked using deterministic methods. GLM with covariates of the deceased's sex, age, state of residence, cause of death and place of death, and municipality-level education decile and population density decile, was used to estimate total deaths and completeness nationally, subnationally and by population sub-group, and to identify the characteristics of unreported deaths. The empirical completeness method and Global Burden of Disease (GBD) 2017 estimates were comparators at the national and state level.

Results: Completeness was 98% for SIM and 95% for CR. The vast majority of deaths in Brazil were captured by either system and 94% were reported by both sources. For each source, completeness was lowest in the north. SIM completeness was consistently high across all sub-groups while CR completeness was lowest for deaths at younger ages, outside facilities, and in the lowest deciles of municipality education and population density. There was no clear municipality-level relationship in SIM and CR completeness, suggesting minimal dependence between sources. The empirical completeness method model 1 and GBD completeness estimates were each, on average, less than three percentage points different from GLM estimates at the state level. Life expectancy was lowest in the northeast and 7.5 years higher in females than males.

Conclusions: GLM using socio-economic and demographic covariates is a valuable tool to accurately estimate completeness from linked data sources. Close scrutiny of the quality of variables used to link deaths, targeted identification of unreported deaths in poorer, northern states, and closer coordination of the two systems will help Brazil achieve 100% death reporting completeness. The results also confirm the validity of the empirical completeness method.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
期刊最新文献
A new method for estimating recent adult mortality from summary sibling histories. Investigating the impact of the COVID-19 pandemic on the nutritional status of infants and toddlers: insights from China. Harmonizing measurements: establishing a common metric via shared items across instruments. Examining select sociodemographic characteristics of sub-county geographies for public health surveillance. Deriving disability weights for the Netherlands: findings from the Dutch disability weights measurement study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1