Dataset Information

Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods.

ABSTRACT:

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.

SUBMITTER: Costa LFL

PROVIDER: S-EPMC7650525 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Publications

Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods.

Costa Luiz Fernando Lima LFL de Mesquita Silva Montenegro Marli M Rabello Neto Dacio de Lyra DL de Oliveira Antonio Tadeu Ribeiro ATR Trindade Jose Eduardo de Oliveira JEO Adair Tim T Marinho Maria de Fatima MF

Population health metrics 20200904 1

<h4>Background</h4>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).<h4>Methods</h4>The 2015 and 2016 CR and SIM data were linked using deterministic methods. GLM with covariates ...[more]

PMID: 32887639

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Dataset Information

Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods.

Background

Methods

Results

Conclusions

Publications

Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods.

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