scholarly journals Comparative analysis of completeness of death registration, adult mortality and life expectancy at birth in Brazil at the subnational level

2020 ◽  
Vol 18 (S1) ◽  
Author(s):  
Bernardo L Queiroz ◽  
Marcos R. Gonzaga ◽  
Ana M. N. Vasconcelos ◽  
Bruno T. Lopes ◽  
Daisy M. X. Abreu
Keyword(s):  
Comparative Analysis ◽  
Life Expectancy ◽  
Comparative Studies ◽  
Adult Mortality ◽  
Population Projections ◽  
Spatial And Temporal Variation ◽  
Mortality Data ◽  
Death Registration ◽  
National Statistics

Abstract Background Estimates of completeness of death registration are crucial to produce estimates of life tables and population projections and to estimate the burden of disease. They are an important step in assessing the quality of data. In the case of subnational data analysis in Brazil, it is important to consider spatial and temporal variation in the quality of mortality data. There are two main sources of data quality evaluation in Brazil, but there are few comparative studies and how they evolve over time. The aim of the paper is to compare and discuss alternative estimates of completeness of death registration, adult mortality (45q15) and life expectancy estimates produced by the National Statistics Office (IBGE), Institute for Health Metrics and Evaluation (IHME), and estimates presented in Queiroz et al. (2017) and Schmertmann and Gonzaga (2018), for 1980 and 2010. Methods We provide a descriptive and comparative analysis of aforementioned estimates from four (4) sources of estimates at subnational level (26 states and one Federal District) in Brazil from two different points in time. Results We found significant differences in estimates that affect both levels and trends of completeness of adult mortality in Brazil and states. IHME and Queiroz et al. (2017) estimates converge by 2010, but there are large differences when compared to estimates from the National Statistics Office (IBGE). Larger differences are observed for less developed states. We have showed that the quality of mortality data in Brazil has improved steadily overtime, but with large regional variations. However, we have observed that IBGE estimates show the lowest levels of completeness for the Northern of the country compared to other estimates. Choice of methods and approaches might lead to very unexpected results. Conclusion We produced a detailed comparative analysis of estimates of completeness of death registration from different sources and discuss the main results and possible explanations for these differences. We have also showed that new improved methods are still needed to study adult mortality in less developed countries and at a subnational level. More comparative studies are important in order to improve quality of estimates in Brazil.

scholarly journals Life expectancy, adult mortality and completeness of death counts in Brazil and regions: comparative analysis of IHME, IBGE and other researchers estimates of levels and trends

2019 ◽  
Author(s):  
Bernardo L Queiroz ◽  
Marcos Roberto Gonzaga ◽  
Ana Maria Nogales ◽  
Bruno Torrente ◽  
Daisy Maria Xavier de Abreu
Keyword(s):  
Life Expectancy ◽  
State Level ◽  
Adult Mortality ◽  
Population Projections ◽  
Spatial And Temporal Variation ◽  
Mortality Data ◽  
Death Registration ◽  
Quality Of Data ◽  
National Statistics

Estimates of completeness of death registration are crucial to produce estimates of life tables, population projections and to the global burden of diseases study. They are an imperative step in quality of data analysis. In the case of state level data in Brazil, it is important to consider spatial and temporal variation in the quality of mortality data. In this paper, we compare and discuss alternative estimates of completeness of death registration, adult mortality (45q15) and life expectancy estimates produced by the National Statistics Office (IBGE), Institute for Health Metrics and Evaluation (IHME) and estimates presented in Queiroz, et.al (2017) and Schmertmann and Gonzaga (2018), for 1980 and 2010. We find significant differences in estimates that affect both levels and trends of completeness of adult mortality in Brazil and states. IHME and Queiroz, et.al (2017) estimates converge in 2010, but there are large differences when compared to estimates from the National Statistics Office (IBGE). Larger differences are observed for less developed states.

scholarly journals Temporal and spatial estimates of adult mortality for small areas in Brazil, 1980-2010

2017 ◽  
Author(s):  
Bernardo L Queiroz ◽  
Everton Lima ◽  
Flávio Freire ◽  
Marcos Roberto Gonzaga
Keyword(s):  
Health Planning ◽  
Population Data ◽  
Adult Mortality ◽  
Vital Statistics ◽  
Mortality Data ◽  
Mortality Pattern ◽  
Registration System ◽  
Small Areas ◽  
Over Time

BACKGROUNDThe study of mortality level and trends in developing countries is limited by the quality of vital registration system and population data, especially for small areas. However, understanding regional differences in data quality and mortality is crucial for public health planning. OBJECTIVEThe paper aims to estimate adult mortality levels for small-areas in Brazil and to examine variations and spatial patterns of adult mortality across regions, overtime and by sex in the countryMETHODSWe combine a three-method strategy. We apply a standardization technique to smooth rates in small areas. We then obtained measures of completeness of death counts coverage using Death Distribution Methods. And spatial analysis to investigate variations and patterns of adult mortality in small areas of the country.RESULTSWe find that completeness of death counts coverage improved overtime across the country. We observed that regions in the south and southeast have complete death registration systems and areas in the less developed regions are improving. We observe a large and constant differential in adult mortality by sex and regions.CONCLUSIONSWe find that the quality of mortality data in Brazil and regions is improving over time. The improvement is mostly explain by public investments in collection health data. Gender differences remained high over the period of analysis due to the increase in external causes of deaths for males. This increase also explains the concentration of high mortality levels for males in some areas of the country. CONTRIBUTIONA new methodological procedure on estimating and analyzing the evolutions on adult mortality pattern over time and across smaller areas on the presence of defective data, on both vital statistics and population data.

scholarly journals Are there sex differences in completeness of death registration and quality of cause of death statistics? Results from a global analysis

2021 ◽  
Vol 6 (10) ◽  
pp. e006660
Author(s):  
Tim Adair ◽  
U S H Gamage ◽  
Lene Mikkelsen ◽  
Rohina Joshi
Keyword(s):  
Sex Differences ◽  
Cause Of Death ◽  
Global Analysis ◽  
Age Distribution ◽  
Mortality Data ◽  
Death Registration ◽  
Quality Of Data ◽  
Uncertainty Interval ◽  
Death Data

IntroductionRecent studies suggest that more male than female deaths are registered and a higher proportion of female deaths are certified as ‘garbage’ causes (ie, vague or ill-defined causes of limited policy value). This can reduce the utility of sex-specific mortality statistics for governments to address health problems. To assess whether there are sex differences in completeness and quality of data from civil registration and vital statistics systems, we analysed available global death registration and cause of death data.MethodsCompleteness of death registration for females and males was compared in 112 countries, and in subsets of countries with incomplete death registration. For 64 countries with medical certificate of cause of death data, the level, severity and type of garbage causes was compared between females and males, standardised for the older age distribution and different cause composition of female compared with male deaths.ResultsFor 42 countries with completeness of less than 95% (both sexes), average female completeness was 1.2 percentage points (p.p.) lower (95% uncertainty interval (UI) −2.5 to –0.2 p.p.) than for males. Aggregate female completeness for these countries was 7.1 p.p. lower (95% UI −12.2 to −2.0 p.p.; female 72.9%, male 80.1%), due to much higher male completeness in nine countries including India. Garbage causes were higher for females than males in 58 of 64 countries (statistically significant in 48 countries), but only by an average 1.4 p.p. (1.3–1.6 p.p.); results were consistent by severity and type of garbage.ConclusionAlthough in most countries analysed there was no clear bias against females in death registration, there was clear evidence in a few countries of systematic undercounting of female deaths which substantially reduces the utility of mortality data. In countries with cause of death data, it was only of marginally poorer quality for females than males.

scholarly journals Quality of death counts and adult mortality registration in Suriname and its main regions

2019 ◽  
Vol 36 ◽  
pp. 1-20
Author(s):  
Andrea Fernand Jubithana ◽  
Bernardo Lanza Queiroz
Keyword(s):  
Data Quality ◽  
Population Data ◽  
Adult Mortality ◽  
Primary Objective ◽  
Mortality Data ◽  
Central Regions ◽  
Quality Of Death ◽  
Demographic Methods ◽  
Better Than

Suriname statistical office assumes that mortality data in the country is of good quality and does not perform any test before producing life table estimates. However, lack of data quality is a concern in the less developed areas of the world. The primary objective of this article is to evaluate the quality of death counts registration in the country and its main regions from 2004 to 2012 and to produce estimates of adult mortality by sex. We use data from population, by age and sex, from the last censuses and death counts from the Statistical office. We use traditional demographic methods to perform the analysis. We find that the quality of the death countregistration in Suriname and its central regions is reasonably good. We also find that population data can be considered good. The results reveal a small difference in the completeness for males and females and that for the sub-national population the choice of method has implication on the results. To sum up, data quality in Suriname is better than in most countries in the region, but there are considerable regional differences as observed in other locations.

scholarly journals Improving the Quality of Adult Mortality Data Collected in Demographic Surveys: Validation Study of a New Siblings' Survival Questionnaire in Niakhar, Senegal

PLoS Medicine ◽  
2014 ◽  
Vol 11 (5) ◽  
pp. e1001652 ◽  
Author(s):  
Stéphane Helleringer ◽  
Gilles Pison ◽  
Bruno Masquelier ◽  
Almamy Malick Kanté ◽  
Laetitia Douillot ◽  
...  
Keyword(s):  
Validation Study ◽  
Adult Mortality ◽  
Mortality Data ◽  
Demographic Surveys

scholarly journals Mortality in Tonga over three triennia, 2010–2018

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Carah Figueroa ◽  
Christine Linhart ◽  
Latu Fusimalohi ◽  
Sioape Kupu ◽  
Gloria Mathenge ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Mortality Rates ◽  
Adult Mortality ◽  
Statistical Testing ◽  
International Agency ◽  
Mortality Data ◽  
Local Health ◽  
Mortality Trends ◽  
Substantial Impact ◽  
International Agencies

Abstract Background Tonga is a South Pacific Island country with a population of 100,651 (2016 Census). This study examines Tongan infant mortality rates (IMR), under-five mortality rates (U5MR), adult mortality and life expectancy (LE) at birth from 2010 to 2018 using a recent collation of empirical mortality data over the past decade for comparison with other previously published mortality estimates. Methods Routinely collected mortality data for 2010–2018 from the Ministry of Health, national (Vaiola) hospital, community nursing reports, and the Civil Registry, were consolidated by deterministic and probabilistic linkage of individual death records. Completeness of empirical mortality reporting was assessed by capture-recapture analysis. The reconciled data were aggregated into triennia to reduce stochastic variation, and used to estimate IMR and U5MR (per 1000 live births), adult mortality (15–59, 15–34, 35–59, and 15–64 years), and LE at birth, employing the hypothetical cohort method (with statistical testing). Mortality trends and differences were assessed by Poisson regression. Mortality findings were compared with published national and international agency estimates. Results Over the three triennia in 2010–2018, levels varied minimally for IMR (12–14) and U5MR (15–19) per 1000 births (both ns, p > 0.05), and also for male LE at birth of 64–65 years, and female LE at birth 69–70 years. Cumulated risks of adult mortality were significantly higher in men than women; period mortality increases in 15–59-year women from 18 to 21% were significant (p < 0.05). Estimated completeness of the reconciled data was > 95%. International agencies reported generally comparable estimates of IMR and U5MR, with varying uncertainty intervals; but they reported significantly lower adult mortality and higher LE than the empirical estimates from this study. Conclusions Life expectancy in Tonga over 2010–2018 has remained relatively low and static, with low IMR and U5MR, indicating the substantial impact from premature adult mortality. This analysis of empirical data (> 95% complete) indicates lower LE and higher premature adult mortality than previously reported by international agencies using indirect and modelled methods. Continued integration of mortality recording and data systems in Tonga is important for improving the completeness and accuracy of mortality estimation for local health monitoring and planning.

Socio-Economic Factors Influencing Life Expectancy in Russia and Abroad in the Context of Digitalization

2019 ◽  
pp. 74-82
Author(s):  
Yu. A. Morozova
Keyword(s):  
Comparative Analysis ◽  
Life Expectancy ◽  
Russian Federation ◽  
Information Society ◽  
Economic Security ◽  
Living Standards ◽  
Digital Culture ◽  
Factors Influencing ◽  
The Russian Federation

The presented study is relevant due to the need to improve the living standards of the population as a social indicator of economic security in the context of digitalization.Aim. The study aims to formulate directions for solving the problems of improving the living standards of the information society through a comparative analysis of factors influencing life expectancy in the Russian Federation and abroad.Tasks. The authors analyze the living indicators of the information society in major countries to reveal shortcomings in the measures taken by the public sector to ensure the quality of life of the population and to define the role of digitalization and digital economy in the improvement of living standards; identify problems of declining life expectancy in Russia to develop appropriate government policy measures.Methods. The methodological basis of this study includes modern general scientific research methods, such as comparative analysis, statistical and structural-logical methods.Results. The fundamental factors influencing life expectancy in the regions of the Russian Federation under modern conditions include lifestyle, genetics, level of education, level of information development, and level of digitalization in healthcare. Russia is lagging far behind developed countries in many of these respects. At the same time, there is a positive dynamics of improving living standards through the adoption of a strategy for the development of the economy and digital society in our country. With a direct correlation between living standards and economic development, global informatization, mobile communication, and digital technologies significantly increase the availability of information and opportunities to use it in healthcare.Conclusions. As a major trend in the development of modern society, digitalization is particularly important when it comes to ensuring the socio-economic efficiency of the healthcare system. Therefore, an increase in the quality of digitalization brings about an improvement in the living standards of the population in terms of its interaction with the government as well as preservation of life and health. Implementation of a policy in the field of digitalization requires a high degree of digital culture and health literacy, including literacy in digital medicine, and active development of digital competencies among health professionals.

Evaluation of civil registration and vital statistics system in the Maldives: Focus on mortality statistics

2020 ◽  
Vol 36 (4) ◽  
pp. 933-941
Author(s):  
Sofoora Kawsar Usman ◽  
Sheena Moosa
Keyword(s):  
Cause Of Death ◽  
Causes Of Death ◽  
Time Lag ◽  
International Classification Of Diseases ◽  
Vital Statistics ◽  
Mortality Data ◽  
Death Registration ◽  
Quality Of Data ◽  
Civil Registration

An efficient Civil Registration and Vital Statistics (CRVS) system is a development imperative. Data on death registration and causes of death are important for measuring health outcomes. This paper evaluates the completeness and quality of data on death registration and causes of death (CoD) based on analysis of the registration records on death and causes of death for the period 2009–2018. Using established methods and approaches, we observed that CRVS system performed well on death registration completeness, quality of age and sex reporting. However, the quality of cause of death data was poor with 50% of the International Classification of Diseases (ICD) codes classified as “major garbage codes” and significant time lag was observed in the transmission and production of vital statistics. The CRVS system in Maldives is complete with all deaths occurring within its territory registered and causes of death recorded. The two areas that require attention are the time taken for publication of vital statistics and quality of cause of death reporting. Appropriate re-engineering of the existing business process can build real-time mortality data, and regular quality assessment of death certificates with feedback to health facilities can bring sustained improvements in quality of vital statistics.

scholarly journals Life expectancy with negative physical oral health impact on quality of life in older adults

2020 ◽  
Vol 36 (6) ◽  
Author(s):  
Eduardo José Pereira Oliveira ◽  
Luciana Correia Alves ◽  
Yeda Aparecida de Oliveira Duarte ◽  
Fabíola Bof de Andrade
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Oral Health ◽  
Life Expectancy ◽  
Well Being ◽  
Health Impact ◽  
Education Level ◽  
Mortality Data ◽  
Total Life Expectancy

Abstract: Oral impairments can affect overall health and life expectancy in older adults. Our study evaluates the life expectancy with negative physical oral health impact on quality of life (POHIQoL) among older adults. Life expectancy with negative POHIQoL was estimated by the Sullivan method, using the prevalence of POHIQoL - obtained in the Health, Well-being and Ageing (SABE Study); and official mortality data for adults aged 60 years or older living in São Paulo, Brazil. Between 2000 and 2010, negative POHIQoL increased from 23.4% (95%CI: 20.2-26.9) to 30.4% (95%CI: 27.0-34.3) among older adults; total life expectancy increased from 22 and 17.5 to 23.7 and 19.4 years among 60-year-old women and men, respectively; and the proportion of remaining years to be lived with negative POHIQoL increased from 25.1% to 32.1% for the same age group. In both years, individuals aged 60 years with lower education level were expected to live more years with negative POHIQoL when compared with the most schooled ones (2000: 15.9 [95%CI: 15.0-16.8] vs. 14.3 [95%CI: 13.7-14.8]; 2010: 16.3 [95%CI: 15.1-17.4] vs. 14.1 [95%CI: 13.2-15.1]). Similarly, women were expected to live more years with negative POHIQoL than men. Within ten years, life expectancy with negative POHIQoL increased, as well as the existence of inequalities in sex and education level among Brazilian older adults. Expansion in coverage and focus on equity in dental care are still necessary to overcome persistent dental-related problems and inequalities and, therefore, contribute to healthy ageing.

scholarly journals Income Mobility, Income Inequality and Mortality in the U.S.

2018 ◽  
Author(s):  
Sebastian Daza ◽  
Alberto Palloni
Keyword(s):  
Income Inequality ◽  
Life Expectancy ◽  
Causal Effect ◽  
Adult Mortality ◽  
Mortality Data ◽  
Income Mobility ◽  
Data Set ◽  
Intergenerational Income Mobility ◽  
Race Ethnicity ◽  
The U.S

We assess the magnitude of the association between intergenerational income mobility and US adult mortality by gender, age group, race/ethnicity and the causes of death. We use a data set from The Health Inequality Project and CDC mortality data at the county level. We find that under different model specifications the association between income mobility and adult mortality is strong, properly signed, and consistent with our hypotheses. If the association we find reflects a causal effect it would translate into shifts in life expectancy at age 40 of as much as 2.0-4.8 years among males and 0.1-2.0 among females, equivalent to 5.1-12.5 and 0.2-4.7 percent of the U.S. male and female life expectancy at age 40 respectively. On average, these effects are 1.5 to 2.5 times as large as those of income inequality and represent between 40 (males) and 25 (females) percent of the magnitude of an income shift from the lowest to the highest quartile of the U.S. income distribution.

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