24
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Progress toward eliminating TB and HIV deaths in Brazil, 2001–2015: a spatial assessment

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Brazil has high burdens of tuberculosis (TB) and HIV, as previously estimated for the 26 states and the Federal District, as well as high levels of inequality in social and health indicators. We improved the geographic detail of burden estimation by modelling deaths due to TB and HIV and TB case fatality ratios for the more than 5400 municipalities in Brazil.

          Methods

          This ecological study used vital registration data from the national mortality information system and TB case notifications from the national communicable disease notification system from 2001 to 2015. Mortality due to TB and HIV was modelled separately by cause and sex using a Bayesian spatially explicit mixed effects regression model. TB incidence was modelled using the same approach. Results were calibrated to the Global Burden of Disease Study 2016. Case fatality ratios were calculated for TB.

          Results

          There was substantial inequality in TB and HIV mortality rates within the nation and within states. National-level TB mortality in people without HIV infection declined by nearly 50% during 2001 to 2015, but HIV mortality declined by just over 20% for males and 10% for females. TB and HIV mortality rates for municipalities in the 90th percentile nationally were more than three times rates in the 10th percentile, with nearly 70% of the worst-performing municipalities for male TB mortality and more than 75% for female mortality in 2001 also in the worst decile in 2015. The same municipality ranking metric for HIV was observed to be between 55% and 61%. Within states, the TB mortality rate ratios by sex for municipalities in the worst decile versus the best decile varied from 1.4 to 2.9, and HIV varied from 1.4 to 4.2. The World Health Organization target case fatality rate for TB of less than 10% was achieved in 9.6% of municipalities for males versus 38.4% for females in 2001 and improved to 38.4% and 56.6% of municipalities for males versus females, respectively, by 2014.

          Conclusions

          Mortality rates in municipalities within the same state exhibited nearly as much relative variation as within the nation as a whole. Monitoring the mortality burden at this level of geographic detail is critical for guiding precision public health responses.

          Electronic supplementary material

          The online version of this article (10.1186/s12916-018-1131-6) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references28

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Algorithms for enhancing public health utility of national causes-of-death data

          Background Coverage and quality of cause-of-death (CoD) data varies across countries and time. Valid, reliable, and comparable assessments of trends in causes of death from even the best systems are limited by three problems: a) changes in the International Statistical Classification of Diseases and Related Health Problems (ICD) over time; b) the use of tabulation lists where substantial detail on causes of death is lost; and c) many deaths assigned to causes that cannot or should not be considered underlying causes of death, often called garbage codes (GCs). The Global Burden of Disease Study and the World Health Organization have developed various methods to enhance comparability of CoD data. In this study, we attempt to build on these approaches to enhance the utility of national cause-of-death data for public health analysis. Methods Based on careful consideration of 4,434 country-years of CoD data from 145 countries from 1901 to 2008, encompassing 743 million deaths in ICD versions 1 to 10 as well as country-specific cause lists, we have developed a public health-oriented cause-of-death list. These 56 causes are organized hierarchically and encompass all deaths. Each cause has been mapped from ICD-6 to ICD-10 and, where possible, they have also been mapped to the International List of Causes of Death 1-5. We developed a typology of different classes of GCs. In each ICD revision, GCs have been identified. Target causes to which these GCs should be redistributed have been identified based on certification practice and/or pathophysiology. Proportionate redistribution, statistical models, and expert algorithms have been developed to redistribute GCs to target codes for each age-sex group. Results The fraction of all deaths assigned to GCs varies tremendously across countries and revisions of the ICD. In general, across all country-years of data available, GCs have declined from more than 43% in ICD-7 to 24% in ICD-10. In some regions, such as Australasia, GCs in 2005 are as low as 11%, while in some developing countries, such as Thailand, they are greater than 50%. Across different age groups, the composition of GCs varies tremendously - three classes of GCs steadily increase with age, but ambiguous codes within a particular disease chapter are also common for injuries at younger ages. The impact of redistribution is to change the number of deaths assigned to particular causes for a given age-sex group. These changes alter ranks across countries for any given year by a number of different causes, change time trends, and alter the rank order of causes within a country. Conclusions By mapping CoD through different ICD versions and redistributing GCs, we believe the public health utility of CoD data can be substantially enhanced, leading to an increased demand for higher quality CoD data from health sector decision-makers.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Income-specific trends in obesity in Brazil: 1975-2003.

            We sought to update income-specific secular trends in obesity in Brazil to assess the hypothesis that the disease burden is shifting toward the poor. We compared overall and income-specific obesity prevalence rates estimated for Brazilian men and women from national surveys conducted in 1975, 1989, and 2003. We calculated age-adjusted prevalence ratios to assess time trends. In the first 14-year period examined (1975-1989), obesity rates among men and women increased by 92% and 63%, respectively, and increases were relatively higher among individuals in lower income groups. In the second 14-year period (1989-2003), there were further increases in obesity among men, and again increases were larger among the poor. In this second period, the obesity rate remained virtually stable in the overall female population, but it increased by 26% among women in the 2 lower income quintiles and decreased by 10% among women in the 3 higher income quintiles. The burden of obesity is shifting toward the poor and can no longer be considered a disease of the socioeconomic elite. Policymakers need to design policy and programs that reach all members of society, but especially the poor.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              US County-Level Trends in Mortality Rates for Major Causes of Death, 1980-2014.

              County-level patterns in mortality rates by cause have not been systematically described but are potentially useful for public health officials, clinicians, and researchers seeking to improve health and reduce geographic disparities.
                Bookmark

                Author and article information

                Contributors
                sihay@uw.edu
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                6 September 2018
                6 September 2018
                2018
                : 16
                : 144
                Affiliations
                [1 ]ISNI 0000000122986657, GRID grid.34477.33, Division of Allergy and Infectious Diseases, Department of Medicine, , University of Washington, ; Seattle, Washington, USA
                [2 ]ISNI 0000000122986657, GRID grid.34477.33, Institute for Health Metrics and Evaluation, , University of Washington, ; 2301 5th Ave Suite 600, Seattle, WA 98121 USA
                [3 ]ISNI 0000 0001 2238 5157, GRID grid.7632.0, Department of Public Health, , University of Brasilia, ; Distrito Federal, Brazil
                [4 ]ISNI 0000 0004 0602 9808, GRID grid.414596.b, Department of Health Surveillance, Ministry of Health, ; Brasilia, Brazil
                Article
                1131
                10.1186/s12916-018-1131-6
                6125942
                30185204
                7d574252-ee69-4b67-b1e3-140134210d81
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 28 February 2018
                : 17 July 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1132415
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Medicine
                tuberculosis,hiv,small area estimation,geospatial,geographic,brazil,case fatality,mortality
                Medicine
                tuberculosis, hiv, small area estimation, geospatial, geographic, brazil, case fatality, mortality

                Comments

                Comment on this article