Publication: A low-cost uterine balloon tamponade for management of postpartum hemorrhage: modeling the potential impact on maternal mortality and morbidity in sub-Saharan Africa
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Date
2017
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BioMed Central
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Citation
Herrick, Tara, Mercy Mvundura, Thomas F. Burke, and Elizabeth Abu-Haydar. 2017. “A low-cost uterine balloon tamponade for management of postpartum hemorrhage: modeling the potential impact on maternal mortality and morbidity in sub-Saharan Africa.” BMC Pregnancy and Childbirth 17 (1): 374. doi:10.1186/s12884-017-1564-5. http://dx.doi.org/10.1186/s12884-017-1564-5.
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Abstract
Background: Postpartum hemorrhage (PPH) is the leading cause of maternal deaths worldwide. This study sought to quantify the potential health impact (morbidity and mortality reductions) that a low-cost uterine balloon tamponade (UBT) could have on women suffering from uncontrolled PPH due to uterine atony in sub-Saharan Africa. Methods: The Maternal and Neonatal Directed Assessment of Technology (MANDATE) model was used to estimate maternal deaths, surgeries averted, and cases of severe anemia prevented through UBT use among women with PPH who receive a uterotonic drug but fail this therapy in a health facility. Estimates were generated for the year 2018. The main outcome measures were lives saved, surgeries averted, and severe anemia prevented. Results: The base case model estimated that widespread use of a low-cost UBT in clinics and hospitals could save 6547 lives (an 11% reduction in maternal deaths), avert 10,823 surgeries, and prevent 634 severe anemia cases in sub-Saharan Africa annually. Conclusions: A low-cost UBT has a strong potential to save lives and reduce morbidity. It can also potentially reduce costly downstream interventions for women who give birth in a health care facility. This technology may be especially useful for meeting global targets for reducing maternal mortality as identified in Sustainable Development Goal 3.
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Keywords
Maternal mortality, Postpartum hemorrhage, Uterine balloon tamponade, Sub-Saharan Africa, Health impact modeling, Low-income countries
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