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Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa

Background: The Global Burden of Disease (GBD) approach estimates disease burden by combining fatal (years of life lost) and non-fatal burden prevalence-based years of life lived with disability (PYLDs) estimates. Although South Africa has data to estimate mortality, prevalence data to estimate non-...

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Autores principales: Pillay-van Wyk, Victoria, Roomaney, Rifqah Abeeda, Nglazi, Mweete Debra, Awotiwon, Oluwatoyin Folashade, Katzenellenbogen, Judith M, Glass, Tracy, Joubert, Janetta Debora, Bradshaw, Debbie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801091/
https://www.ncbi.nlm.nih.gov/pubmed/33393896
http://dx.doi.org/10.1080/16549716.2020.1856471
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author Pillay-van Wyk, Victoria
Roomaney, Rifqah Abeeda
Nglazi, Mweete Debra
Awotiwon, Oluwatoyin Folashade
Katzenellenbogen, Judith M
Glass, Tracy
Joubert, Janetta Debora
Bradshaw, Debbie
author_facet Pillay-van Wyk, Victoria
Roomaney, Rifqah Abeeda
Nglazi, Mweete Debra
Awotiwon, Oluwatoyin Folashade
Katzenellenbogen, Judith M
Glass, Tracy
Joubert, Janetta Debora
Bradshaw, Debbie
author_sort Pillay-van Wyk, Victoria
collection PubMed
description Background: The Global Burden of Disease (GBD) approach estimates disease burden by combining fatal (years of life lost) and non-fatal burden prevalence-based years of life lived with disability (PYLDs) estimates. Although South Africa has data to estimate mortality, prevalence data to estimate non-fatal burden are sparse. PYLD estimates from the GBD study for South Africa can potentially be used. However, there is a divergence in mortality estimates for South Africa between the second South African National Burden of Disease (SANBD2) and 2013 GBD studies. Objective: We investigated the feasibility of utilising GBD PYLD estimates for stroke and diabetes by exploring different disease modelling scenarios. Method: DisMod II software-generated South African stroke and diabetes PYLDs for 2010 from models using local epidemiological parameters and demographic data for people 20–79 years old. We investigated the impact on PYLD estimates of 1) differences in the cause-of-death envelope, 2) differences in the cause-specific mortality estimates (increase/decrease by 15% for stroke and 30% for diabetes), and 3) difference using local disease parameters compared to other country or region parameters. Differences were expressed as ratios, average ratios and ratio ranges. Results: Using the GBD cause-of-death envelope (16% more deaths than SANBD2) and holding other parameters constant yielded age-specific ratios of PYLDs for stroke and diabetes ranging between 0.89 and 1.07 (average 0.98) for males. Similar results were observed for females. A 15% change in age-specific stroke mortality showed little difference in the ratio comparison of PYLDs (range 0.98–1.02) while a 30% change in age-specific diabetes mortality resulted in a ratio range of 0.96–1.07 for PYLDs depending on age. Conclusion: This study showed that GBD non-fatal burden estimates (PYLDs) can be used for stroke and diabetes non-fatal burden in the SANBD2 study.
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spelling pubmed-78010912021-01-21 Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa Pillay-van Wyk, Victoria Roomaney, Rifqah Abeeda Nglazi, Mweete Debra Awotiwon, Oluwatoyin Folashade Katzenellenbogen, Judith M Glass, Tracy Joubert, Janetta Debora Bradshaw, Debbie Glob Health Action Original Article Background: The Global Burden of Disease (GBD) approach estimates disease burden by combining fatal (years of life lost) and non-fatal burden prevalence-based years of life lived with disability (PYLDs) estimates. Although South Africa has data to estimate mortality, prevalence data to estimate non-fatal burden are sparse. PYLD estimates from the GBD study for South Africa can potentially be used. However, there is a divergence in mortality estimates for South Africa between the second South African National Burden of Disease (SANBD2) and 2013 GBD studies. Objective: We investigated the feasibility of utilising GBD PYLD estimates for stroke and diabetes by exploring different disease modelling scenarios. Method: DisMod II software-generated South African stroke and diabetes PYLDs for 2010 from models using local epidemiological parameters and demographic data for people 20–79 years old. We investigated the impact on PYLD estimates of 1) differences in the cause-of-death envelope, 2) differences in the cause-specific mortality estimates (increase/decrease by 15% for stroke and 30% for diabetes), and 3) difference using local disease parameters compared to other country or region parameters. Differences were expressed as ratios, average ratios and ratio ranges. Results: Using the GBD cause-of-death envelope (16% more deaths than SANBD2) and holding other parameters constant yielded age-specific ratios of PYLDs for stroke and diabetes ranging between 0.89 and 1.07 (average 0.98) for males. Similar results were observed for females. A 15% change in age-specific stroke mortality showed little difference in the ratio comparison of PYLDs (range 0.98–1.02) while a 30% change in age-specific diabetes mortality resulted in a ratio range of 0.96–1.07 for PYLDs depending on age. Conclusion: This study showed that GBD non-fatal burden estimates (PYLDs) can be used for stroke and diabetes non-fatal burden in the SANBD2 study. Taylor & Francis 2021-01-04 /pmc/articles/PMC7801091/ /pubmed/33393896 http://dx.doi.org/10.1080/16549716.2020.1856471 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Pillay-van Wyk, Victoria
Roomaney, Rifqah Abeeda
Nglazi, Mweete Debra
Awotiwon, Oluwatoyin Folashade
Katzenellenbogen, Judith M
Glass, Tracy
Joubert, Janetta Debora
Bradshaw, Debbie
Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa
title Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa
title_full Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa
title_fullStr Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa
title_full_unstemmed Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa
title_short Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa
title_sort can non-fatal burden estimates from the global burden of disease study be used locally? an investigation using models of stroke and diabetes for south africa
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801091/
https://www.ncbi.nlm.nih.gov/pubmed/33393896
http://dx.doi.org/10.1080/16549716.2020.1856471
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