2023
DOI: 10.3386/w30835
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Water Treatment And Child Mortality: A Meta-Analysis And Cost-effectiveness Analysis

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Cited by 6 publications
(3 citation statements)
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“…The contribution of this synthesis – to use participant flow data to provide estimates of changes in child mortality associated with WASH interventions – has been enabled by studies that use agreed standards of reporting such as CONSORT. There is potentially a large number of estimates of mortality in childhood from studies which do not use these methods of reporting, as a recent meta-analysis of household water treatment has indicated [101]. Going forward, the challenge will be for an author collaborative to provide sufficient incentives to obtain unpublished participant flow data, to ensure that future systematic reviews and meta-analyses are representative of the complete data available on mortality in WASH intervention studies.…”
Section: Conclusion and Suggested Research Directionsmentioning
confidence: 99%
“…The contribution of this synthesis – to use participant flow data to provide estimates of changes in child mortality associated with WASH interventions – has been enabled by studies that use agreed standards of reporting such as CONSORT. There is potentially a large number of estimates of mortality in childhood from studies which do not use these methods of reporting, as a recent meta-analysis of household water treatment has indicated [101]. Going forward, the challenge will be for an author collaborative to provide sufficient incentives to obtain unpublished participant flow data, to ensure that future systematic reviews and meta-analyses are representative of the complete data available on mortality in WASH intervention studies.…”
Section: Conclusion and Suggested Research Directionsmentioning
confidence: 99%
“…We join a growing number of meta-analyses of results from impact evaluations in economics and international education (Bandiera et al, 2021;Castaing and Gazeaud, 2022;Jackson and Mackevicius, 2021;Meager, 2019;Kremer et al, 2022;Vivalt, 2020). A meta-analysis allows us to rigorously aggregate effect sizes into a single average, boost the power of individual studies through pooling, and test important dimensions of heterogeneity.…”
Section: Introductionmentioning
confidence: 99%
“…Randomized controlled trials are often criticized on the basis that their results are drawn from specific contexts and may therefore lack external validity. 9 A rapidly growing literature relies on Bayesian hierarchical models to aggregate information from multiple settings and assess external validity Romero et al, 2020;Vivalt, 2020;Bandiera et al, 2021;Jackson and Mackevicius, 2021;Kremer et al, 2022;Meager, 2022). 10 We add to this body of literature by applying the method to a new question -the effect of index insurance on productive investments -and by showing the scope for preregistration when data are not publicly available.…”
Section: Introductionmentioning
confidence: 99%