Journal article Open Access
Local Burden of Disease Diarrhoea Collaborators*
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<foaf:name>Local Burden of Disease Diarrhoea Collaborators*</foaf:name>
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<dct:title>Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17</dct:title>
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<foaf:name>Zenodo</foaf:name>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-08-30</dct:issued>
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<dct:description><p><strong>Background</strong></p> <p>Oral rehydration solution (ORS) is a form of oral rehydration therapy (ORT) for diarrhoea that has the<br> potential to drastically reduce child mortality; yet, according to UNICEF estimates, less than half of children younger<br> than 5 years with diarrhoea in low-income and middle-income countries (LMICs) received ORS in 2016. A variety of<br> recommended home fluids (RHF) exist as alternative forms of ORT; however, it is unclear whether RHF prevent<br> child mortality. Previous studies have shown considerable variation between countries in ORS and RHF use, but<br> subnational variation is unknown. This study aims to produce high-resolution geospatial estimates of relative and<br> absolute coverage of ORS, RHF, and ORT (use of either ORS or RHF) in LMICs.<br> <strong>Methods </strong></p> <p>We used a Bayesian geostatistical model including 15 spatial covariates and data from 385 household surveys<br> across 94 LMICs to estimate annual proportions of children younger than 5 years of age with diarrhoea who received<br> ORS or RHF (or both) on continuous continent-wide surfaces in 2000&ndash;17, and aggregated results to policy-relevant<br> administrative units. Additionally, we analysed geographical inequality in coverage across administrative units and<br> estimated the number of diarrhoeal deaths averted by increased coverage over the study period. Uncertainty in the<br> mean coverage estimates was calculated by taking 250 draws from the posterior joint distribution of the model and<br> creating uncertainty intervals (UIs) with the 2&middot;5th and 97&middot;5th percentiles of those 250 draws.<br> <strong>Findings</strong></p> <p>While ORS use among children with diarrhoea increased in some countries from 2000 to 2017, coverage<br> remained below 50% in the majority (62&middot;6%; 12 417 of 19 823) of second administrative-level units and an estimated<br> 6 519 000 children (95% UI 5 254 000&ndash;7 733 000) with diarrhoea were not treated with any form of ORT in 2017.<br> Increases in ORS use corresponded with declines in RHF in many locations, resulting in relatively constant overall<br> ORT coverage from 2000 to 2017. Although ORS was uniformly distributed subnationally in some countries, withincountry<br> geographical inequalities persisted in others; 11 countries had at least a 50% difference in one of their units<br> compared with the country mean. Increases in ORS use over time were correlated with declines in RHF use and in<br> diarrhoeal mortality in many locations, and an estimated 52 230 diarrhoeal deaths (36 910&ndash;68 860) were averted by<br> scaling up of ORS coverage between 2000 and 2017. Finally, we identified key subnational areas in Colombia, Nigeria,<br> and Sudan as examples of where diarrhoeal mortality remains higher than average, while ORS coverage remains<br> lower than average.<br> <strong>Interpretation</strong></p> <p>To our knowledge, this study is the first to produce and map subnational estimates of ORS, RHF, and<br> ORT coverage and attributable child diarrhoeal deaths across LMICs from 2000 to 2017, allowing for tracking progress<br> over time. Our novel results, combined with detailed subnational estimates of diarrhoeal morbidity and mortality, can<br> support subnational needs assessments aimed at furthering policy makers&rsquo; understanding of within-country<br> disparities. Over 50 years after the discovery that led to this simple, cheap, and life-saving therapy, large gains in<br> reducing mortality could still be made by reducing geographical inequalities in ORS coverage.</p></dct:description>
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