The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Measuring Coverage in MNCH: Determining and Interpreting Inequalities in Coverage of Maternal, Newborn, and Child Health Interventions
Open accessAbstract
To monitor progress towards the Millennium Development Goals, it is essential to monitor the coverage of health interventions in subgroups of the population, because national averages can hide important inequalities. In this review, we provide a practical guide to measuring and interpreting inequalities based on surveys carried out in low- and middle-income countries, with a focus on the health of mothers and children. Relevant stratification variables include urban/rural residence, geographic region, and educational level, but breakdowns by wealth status are increasingly popular. For the latter, a classification based on an asset index is the most appropriate for national surveys. The measurement of intervention coverage can be made by single indicators, but the use of combined measures has important advantages, and we advocate two summary measures (the composite coverage index and the co-coverage indicator) for the study of time trends and for cross-country comparisons. We highlight the need for inequality measures that take the whole socioeconomic distribution into account, such as the relative concentration index and the slope index of inequality, although simpler measures such as the ratio and difference between the richest and poorest groups may also be presented for non-technical audiences. Finally, we present a framework for the analysis of time trends in inequalities, arguing that it is essential to study both absolute and relative indicators, and we provide guidance to the joint interpretation of these results.
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Maternal and child undernutrition and overweight in low-income and middle-income countries
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Self-citationEvery Newborn: progress, priorities, and potential beyond survival
Lawn, J. E., Blencowe, H., Oza, S., You, D., Lee, A. C., Waiswa, P., Lalli, M., Bhutta, Z., Barros, A. J., Christian, P., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60496-7 · Cited by 1,929
Self-citationBoerma, T., Requejo, J., Victora, C. G., Amouzou, A., George, A., Agyepong, I., Barroso, C., Barros, A. J. D., Bhutta, Z. A., Black, R. E., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30104-1 · Cited by 517
Self-citationColl, C. V. N., Ewerling, F., García-Moreno, C., Hellwig, F., & Barros, A. J. D. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2019-002208 · Cited by 240
Self-citationThe Inverse Equity Hypothesis: Analyses of Institutional Deliveries in 286 National Surveys
Victora, C. G., Joseph, G., Silva, I. C. M., Maia, F. S., Vaughan, J. P., Barros, F. C., & Barros, A. J. D. (2018) · American Journal of Public Health · doi:10.2105/ajph.2017.304277 · Cited by 166
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Metadata
- Authors
- Barros, A. J. D., & Victora, C. G.
- Venue
- PLoS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-05-07
- Volume
- 10
- Issue
- 5
- Pages
- e1001390
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- OpenAlex
- W1981910462
- Cited by
- 440
- References
- 46
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- gold
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