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Local Burden of Disease Diarrhoea Collaborators_2020_Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17.pdf 5,81MB
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1000 Titel
  • Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17
1000 Autor/in
  1. Wiens, Kirsten E. |
  2. Lindstedt, Paulina A. |
  3. Blacker, Brigitte F. |
  4. Johnson, Kimberly B. |
1000 Mitwirkende/r
  1. Kebede, Mihiretu |
  2. Local Burden of Disease Diarrhoea Collaborators |
1000 Erscheinungsjahr 2020
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-22
1000 Erschienen in
1000 Quellenangabe
  • 8(8):e1038-e1060
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/S2214-109X(20)30230-8 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/32710861/ |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S2214109X20302308?via%3Dihub#sec1 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Oral rehydration solution (ORS) is a form of oral rehydration therapy (ORT) for diarrhoea that has the potential to drastically reduce child mortality; yet, according to UNICEF estimates, less than half of children younger than 5 years with diarrhoea in low-income and middle-income countries (LMICs) received ORS in 2016. A variety of recommended home fluids (RHF) exist as alternative forms of ORT; however, it is unclear whether RHF prevent child mortality. Previous studies have shown considerable variation between countries in ORS and RHF use, but subnational variation is unknown. This study aims to produce high-resolution geospatial estimates of relative and absolute coverage of ORS, RHF, and ORT (use of either ORS or RHF) in LMICs. METHODS: We used a Bayesian geostatistical model including 15 spatial covariates and data from 385 household surveys across 94 LMICs to estimate annual proportions of children younger than 5 years of age with diarrhoea who received ORS or RHF (or both) on continuous continent-wide surfaces in 2000–17, and aggregated results to policy-relevant administrative units. Additionally, we analysed geographical inequality in coverage across administrative units and estimated the number of diarrhoeal deaths averted by increased coverage over the study period. Uncertainty in the mean coverage estimates was calculated by taking 250 draws from the posterior joint distribution of the model and creating uncertainty intervals (UIs) with the 2·5th and 97·5th percentiles of those 250 draws. FINDINGS: While ORS use among children with diarrhoea increased in some countries from 2000 to 2017, coverage remained below 50% in the majority (62·6%; 12 417 of 19 823) of second administrative-level units and an estimated 6 519 000 children (95% UI 5 254 000–7 733 000) with diarrhoea were not treated with any form of ORT in 2017. Increases in ORS use corresponded with declines in RHF in many locations, resulting in relatively constant overall ORT coverage from 2000 to 2017. Although ORS was uniformly distributed subnationally in some countries, within-country geographical inequalities persisted in others; 11 countries had at least a 50% difference in one of their units compared with the country mean. Increases in ORS use over time were correlated with declines in RHF use and in diarrhoeal mortality in many locations, and an estimated 52 230 diarrhoeal deaths (36 910–68 860) were averted by scaling up of ORS coverage between 2000 and 2017. Finally, we identified key subnational areas in Colombia, Nigeria, and Sudan as examples of where diarrhoeal mortality remains higher than average, while ORS coverage remains lower than average. INTERPRETATION: To our knowledge, this study is the first to produce and map subnational estimates of ORS, RHF, and ORT coverage and attributable child diarrhoeal deaths across LMICs from 2000 to 2017, allowing for tracking progress over time. Our novel results, combined with detailed subnational estimates of diarrhoeal morbidity and mortality, can support subnational needs assessments aimed at furthering policy makers' understanding of within-country disparities. Over 50 years after the discovery that led to this simple, cheap, and life-saving therapy, large gains in reducing mortality could still be made by reducing geographical inequalities in ORS coverage.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V2llbnMsIEtpcnN0ZW4gRS4=|https://frl.publisso.de/adhoc/uri/TGluZHN0ZWR0LCBQYXVsaW5hIEEu|https://frl.publisso.de/adhoc/uri/QmxhY2tlciwgQnJpZ2l0dGUgRi4=|https://frl.publisso.de/adhoc/uri/Sm9obnNvbiwgS2ltYmVybHkgQi4=|https://orcid.org/0000-0002-5599-2823|https://frl.publisso.de/adhoc/uri/TG9jYWwgQnVyZGVuIG9mIERpc2Vhc2UgRGlhcnJob2VhIENvbGxhYm9yYXRvcnM=
1000 Label
1000 Förderer
  1. Bill and Melinda Gates Foundation |
  2. National Health and Medical Research Council |
  3. Wellcome Trust |
  4. National Institutes of Health |
  5. National Heart Foundation of Australia |
  6. Deakin University |
  7. U.S. Environmental Protection Agency |
  8. Institute for Physical Activity and Nutrition |
  9. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
  10. Conselho Nacional de Desenvolvimento Científico e Tecnológico |
  11. Fundação de Amparo à Pesquisa do Estado de Minas Gerais |
  12. South African Department of Science and Innovation |
  13. National Research Foundation |
  14. Kuwait University |
  15. Universiti Kebangsaan Malaysia |
  16. Aksum University |
  17. CNDS-UEFISCDI |
  18. National Health and Medical Research Council |
  19. Public Health Agency of Canada |
  20. Alexander von Humboldt-Stiftung |
  21. Bundesministerium für Bildung und Forschung |
  22. Secretaría Nacional de Ciencia, Tecnología e Innovación |
  23. Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja |
  24. NIHR Oxford Biomedical Research Centre |
  25. Fundação para a Ciência e a Tecnologia |
  26. Ministério da Ciência, Tecnologia e Ensino Superior |
  27. Chiba University |
  28. Institute for the Study of Social Change, University of Tasmania |
  29. U.S. Food and Drug Administration |
  30. Health Data Research UK |
  31. Instituto de Salud Carlos III |
1000 Fördernummer
  1. OPP1132415; OPP1127433
  2. -
  3. 201900/Z/16/Z
  4. R01-HD084233; P01-AG041710; R01-AI124389; R01-AI112339; D43-TW009775; K43-TW010716-03
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  17. PN-III-P4-ID-PCCF-2016-0084
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  23. III45005; OI175014; 175087
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  25. DL57/2016/CP1334/CT0006; UID/MULTI/04378/2019; UID/QUI/50006/2019
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  27. P_40_382
  28. XMUMRF/2018-C2/ITCM/0001
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1000 Förderprogramm
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  2. Fellowship
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  27. Operational Program for Competitiveness
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  29. Egyptian Fulbright Mission programme
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  31. -
1000 Dateien
  1. Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bill and Melinda Gates Foundation |
    1000 Förderprogramm -
    1000 Fördernummer OPP1132415; OPP1127433
  2. 1000 joinedFunding-child
    1000 Förderer National Health and Medical Research Council |
    1000 Förderprogramm Fellowship
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust |
    1000 Förderprogramm -
    1000 Fördernummer 201900/Z/16/Z
  4. 1000 joinedFunding-child
    1000 Förderer National Institutes of Health |
    1000 Förderprogramm -
    1000 Fördernummer R01-HD084233; P01-AG041710; R01-AI124389; R01-AI112339; D43-TW009775; K43-TW010716-03
  5. 1000 joinedFunding-child
    1000 Förderer National Heart Foundation of Australia |
    1000 Förderprogramm Fellowship
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Deakin University |
    1000 Förderprogramm Fellowship
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer U.S. Environmental Protection Agency |
    1000 Förderprogramm -
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer Institute for Physical Activity and Nutrition |
    1000 Förderprogramm -
    1000 Fördernummer -
  9. 1000 joinedFunding-child
    1000 Förderer Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
    1000 Förderprogramm -
    1000 Fördernummer 001
  10. 1000 joinedFunding-child
    1000 Förderer Conselho Nacional de Desenvolvimento Científico e Tecnológico |
    1000 Förderprogramm -
    1000 Fördernummer -
  11. 1000 joinedFunding-child
    1000 Förderer Fundação de Amparo à Pesquisa do Estado de Minas Gerais |
    1000 Förderprogramm -
    1000 Fördernummer -
  12. 1000 joinedFunding-child
    1000 Förderer South African Department of Science and Innovation |
    1000 Förderprogramm -
    1000 Fördernummer -
  13. 1000 joinedFunding-child
    1000 Förderer National Research Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  14. 1000 joinedFunding-child
    1000 Förderer Kuwait University |
    1000 Förderprogramm -
    1000 Fördernummer -
  15. 1000 joinedFunding-child
    1000 Förderer Universiti Kebangsaan Malaysia |
    1000 Förderprogramm -
    1000 Fördernummer -
  16. 1000 joinedFunding-child
    1000 Förderer Aksum University |
    1000 Förderprogramm -
    1000 Fördernummer -
  17. 1000 joinedFunding-child
    1000 Förderer CNDS-UEFISCDI |
    1000 Förderprogramm -
    1000 Fördernummer PN-III-P4-ID-PCCF-2016-0084
  18. 1000 joinedFunding-child
    1000 Förderer National Health and Medical Research Council |
    1000 Förderprogramm -
    1000 Fördernummer -
  19. 1000 joinedFunding-child
    1000 Förderer Public Health Agency of Canada |
    1000 Förderprogramm -
    1000 Fördernummer -
  20. 1000 joinedFunding-child
    1000 Förderer Alexander von Humboldt-Stiftung |
    1000 Förderprogramm -
    1000 Fördernummer -
  21. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer -
  22. 1000 joinedFunding-child
    1000 Förderer Secretaría Nacional de Ciencia, Tecnología e Innovación |
    1000 Förderprogramm -
    1000 Fördernummer -
  23. 1000 joinedFunding-child
    1000 Förderer Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja |
    1000 Förderprogramm -
    1000 Fördernummer III45005; OI175014; 175087
  24. 1000 joinedFunding-child
    1000 Förderer NIHR Oxford Biomedical Research Centre |
    1000 Förderprogramm -
    1000 Fördernummer -
  25. 1000 joinedFunding-child
    1000 Förderer Fundação para a Ciência e a Tecnologia |
    1000 Förderprogramm -
    1000 Fördernummer DL57/2016/CP1334/CT0006; UID/MULTI/04378/2019; UID/QUI/50006/2019
  26. 1000 joinedFunding-child
    1000 Förderer Ministério da Ciência, Tecnologia e Ensino Superior |
    1000 Förderprogramm -
    1000 Fördernummer -
  27. 1000 joinedFunding-child
    1000 Förderer Chiba University |
    1000 Förderprogramm Operational Program for Competitiveness
    1000 Fördernummer P_40_382
  28. 1000 joinedFunding-child
    1000 Förderer Institute for the Study of Social Change, University of Tasmania |
    1000 Förderprogramm -
    1000 Fördernummer XMUMRF/2018-C2/ITCM/0001
  29. 1000 joinedFunding-child
    1000 Förderer U.S. Food and Drug Administration |
    1000 Förderprogramm Egyptian Fulbright Mission programme
    1000 Fördernummer -
  30. 1000 joinedFunding-child
    1000 Förderer Health Data Research UK |
    1000 Förderprogramm -
    1000 Fördernummer -
  31. 1000 joinedFunding-child
    1000 Förderer Instituto de Salud Carlos III |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6426266.rdf
1000 Erstellt am 2021-03-18T13:49:48.371+0100
1000 Erstellt von 266
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Tue Mar 23 13:10:43 CET 2021
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1000 Oai Id
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