Socioeconomic inequality in neonatal mortality in countries of low and middle income: a multicountry analysis
Open accessAbstract
BACKGROUND: Neonatal mortality rates (NMRs) in countries of low and middle income have been only slowly decreasing; coverage of essential maternal and newborn health services needs to increase, particularly for disadvantaged populations. Our aim was to produce comparable estimates of changes in socioeconomic inequalities in NMR in the past two decades across these countries. METHODS: We used data from Demographic and Health Surveys (DHS) for countries in which a survey was done in 2008 or later and one about 10 years previously. We measured absolute inequalities with the slope index of inequality and relative inequalities with the relative index of inequality. We used an asset-based wealth index and maternal education as measures of socioeconomic position and summarised inequality estimates for all included countries with random-effects meta-analysis. FINDINGS: 24 low-income and middle-income countries were eligible for inclusion. In most countries, absolute and relative wealth-related and educational inequalities in NMR decreased between survey 1 and survey 2. In five countries (Cameroon, Nigeria, Malawi, Mozambique, and Uganda), the difference in NMR between the top and bottom of the wealth distribution was reduced by more than two neonatal deaths per 1000 livebirths per year. By contrast, wealth-related inequality increased by more than 1·5 neonatal deaths per 1000 livebirths per year in Ethiopia and Cambodia. Patterns of change in absolute and relative educational inequalities in NMR were similar to those of wealth-related NMR inequalities, although the size of educational inequalities tended to be slightly larger. INTERPRETATION: Socioeconomic inequality in NMR seems to have decreased in the past two decades in most countries of low and middle income. However, a substantial survival advantage remains for babies born into wealthier households with a high educational level, which should be considered in global efforts to further reduce NMR. FUNDING: Canadian Institutes of Health Research.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The NM program was able to reach a population where a greater burden of neonatal mortality has been documented.
“Interestingly, a greater proportion of more marginalized women utilized services at the NM PHCs, suggesting that the NM program was able to reach a population where a greater burden of neonatal mortality has been documented [17–19].”
Cites
Evidence-based, cost-effective interventions: How many newborn babies can we save?
Darmstadt, G. L., Bhutta, Z. A., Cousens, S., Adam, T., Walker, N., & de Bernis, L. (2005) · The Lancet · doi:10.1016/s0140-6736(05)71088-6 · Cited by 1,541 · see citing works
Houweling, T. A., Ronsmans, C., Campbell, O. M., & Kunst, A. E. (2007) · Bulletin of the World Health Organization · doi:10.2471/blt.06.038588 · Cited by 388 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Parental education and inequalities in child mortality: a global systematic review and meta-analysis
Balaj, M., York, H. W., Sripada, K., Besnier, E., Vonen, H. D., Aravkin, A., Friedman, J., Griswold, M., Jensen, M. R., Mohammad, T., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00534-1 · Cited by 274 · see citing works
Coates, M. M., Kamanda, M., Kintu, A., Arikpo, I., Chauque, A., Mengesha, M. M., Price, A. J., Sifuna, P., Wamukoya, M., Sacoor, C. N., et al. (2019) · Global Health Action · doi:10.1080/16549716.2019.1608013 · Cited by 25 · see citing works
Banadakoppa Manjappa, R., Kar, A., Jayanna, K., Hallad, J. S., Cunningham, T., Potty, R., Mohan, H. L., Crockett, M., Bradley, J., Fischer, E., et al. (2020) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-020-02942-8 · Cited by 2 · see citing works
- Authors
- McKinnon, B., Harper, S., Kaufman, J. S., & Bergevin, Y.
- Affiliations
- McGill University (CA)
- United Nations Population Fund (US)
- Corresponding author
- McKinnon, Britt
- Venue
- The Lancet Global Health
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 2
- Issue
- 3
- Pages
- e165-e173
- ISSN
- 2214-109X (ISSN-L)
- OpenAlex
- W2149446222
- Cited by
- 133
- References
- 2
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 11 · 2023: 9 · 2022: 11 · 2021: 14 · 2020: 20 · 2019: 6 · 2018: 18 · 2017: 6 · 2016: 4 · 2015: 11 · 2014: 1
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- The Lancet Global Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship@McGill (McGill) (submittedVersion, cc-by-nc)
- Funders
- Canada Research Chairs
- Canadian Institutes of Health Research (HOA80072)
- Fonds de Recherche du Québec - Santé (Junior 1)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
- Health Sciences › Health Professions › General Health Professions › Maternal and Neonatal Healthcare
- Health Sciences › Nursing › Nutrition and Dietetics › Child Nutrition and Water Access
- Keywords
- neonatal mortality, socioeconomic disparities, wealth-related inequality, educational inequality, slope index of inequality, relative index of inequality, maternal education, household wealth, low- and middle-income countries, maternal and newborn health services
- MeSH terms
- Adolescent, Adult, Developing Countries, Female, Health Surveys, Humans, Infant, Infant Mortality, Middle Aged, Socioeconomic Factors, Health Status Disparities, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review