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Innovative approaches for improving maternal and newborn health - A landscape analysis
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“An assessment of the effect of mHealth interventions on improving maternal and neonatal care and health showed that mHealth interventions targeting pregnant women would promote maternal and neonatal health service use [273,274,275].”
From A Comprehensive Review on Social Inequalities and Pregnancy Outcome—Identification of Relevant Pathways and Mechanisms (2022) · cites this paper as [275]
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Strategies for reducing maternal mortality: getting on with what works
Campbell, O. M., & Graham, W. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69381-1 · Cited by 1,785
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 · cited 1×
“Proven interventions that reduce maternal and newborn mortality and morbidity are well established [5, 6], yet these essential interventions are not delivered at scale in low- and middle income countries (LMICs) [7].”
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Community participation: lessons for maternal, newborn, and child health
Rosato, M., Laverack, G., Grabman, L. H., Tripathy, P., Nair, N., Mwansambo, C., Azad, K., Morrison, J., Bhutta, Z., Perry, H., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61406-3 · Cited by 379
Tamrat, T., & Kachnowski, S. (2012) · Maternal and Child Health Journal · doi:10.1007/s10995-011-0836-3 · Cited by 312
Towards Universal Health Coverage: An Evaluation of Rwanda Mutuelles in Its First Eight Years
Lu, C., Chin, B., Lewandowski, J. L., Basinga, P., Hirschhorn, L. R., Hill, K., Murray, M., & Binagwaho, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039282 · Cited by 263
Mullany, L. C., Lee, T. J., Yone, L., Lee, C. I., Teela, K. C., Paw, P., Shwe Oo, E. K., Maung, C., Kuiper, H., Masenior, N. F., et al. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000317 · Cited by 92
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Cited by
Simoncic, V., Deguen, S., Enaux, C., Vandentorren, S., & Kihal-Talantikite, W. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416592 · Cited by 83
Ginsburg, A. S., Kinshella, M.-L. W., Naanyu, V., Rigg, J., Chomba, D., Coleman, J., Hwang, B., Ochieng, R., Ansermino, J. M., & Macharia, W. M. (2021) · Journal of Medical Internet Research · doi:10.2196/29755 · Cited by 11
Metadata
- Authors
- Lunze, K., Higgins-Steele, A., Simen-Kapeu, A., Vesel, L., Kim, J., & Dickson, K.
- Venue
- BMC Pregnancy and Childbirth
- Published
- 2015-12
- Volume
- 15
- Issue
- 1
- ISSN
- 1471-2393
- Cited by
- 72
- References
- 9
- Language
- en
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.