NDLI: How within-country inequalities and co-coverage may affect LiST estimates of lives saved by scaling up interventions.

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How within-country inequalities and co-coverage may affect LiST estimates of lives saved by scaling up interventions.

Content Provider	Europe PMC
Author	Victora, Cesar G Barros, Aluisio J D Malpica-Llanos, Tanya Walker, Neff
Copyright Year	2013
Abstract	Lives-saved estimates calculated by LiST include the implicit assumptions that there are no inequalities among different socioeconomic groups, and also that the likelihood of a mother or child receiving a given intervention is independent from the probability of receiving any other interventions. It is reasonable to assume that, as a consequence of these assumptions, LiST estimates may exaggerate the numbers of lives saved in a population, by ignoring the fact that coverage is likely to be lower and mortality higher among the poor than the rich, and also by failing to take into account that coverage with different interventions may be clustered at individual mothers and children – a phenomenon described as co-coverage. We used data from 127 DHS surveys to estimate how much these two assumptions may bias estimates produced by LiST, and conclude that under real-life conditions bias occurred in both directions, with LiST results either over or underestimating the more complex estimates. With few exceptions, bias tended to be small (less than 10% in either direction).
Journal	BMC Public Health
Volume Number	13 Suppl 3
PubMed Central reference number	PMC3847580
Issue Number	Suppl 3
PubMed reference number	24564259
e-ISSN	14712458
DOI	10.1186/1471-2458-13-s3-s24
Language	English
Publisher	BioMed Central
Publisher Date	2013-09-17
Access Restriction	Open
Rights License	This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2013 Victora et al; licensee BioMed Central Ltd.
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health

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