Browsing by Author "Goudar, Shivaprasad"

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    Caesarean birth by maternal request: a poorly understood phenomenon in low- and middle-income countries
    (Oxford University Press, 2021-01-14) Harrison, Margo S.; Garces, Ana; Figueroa, Lester; Esamai, Fabian; Bucher, Sherri; Bose, Carl; Goudar, Shivaprasad; Derman, Richard; Patel, Archana; Hibberd, Patricia L.; Chomba, Elwyn; Mwenechanya, Miusaku; Hambidge, Michael; Krebs, Nancy F.; Medicine, School of Medicine
    Background: While trends in caesarean birth by maternal request in low- and middle-income countries are unclear, age, education, multiple gestation and hypertensive disease appear associated with the indication when compared with caesarean birth performed for medical indications. Methods: We performed a secondary analysis of a prospectively collected population-based study of home and facility births using descriptive statistics, bivariate comparisons and multilevel mixed-effects logistic regression. Results: Of 28 751 patients who underwent caesarean birth and had a documented primary indication for the surgery, 655 (2%) were attributed to caesarean birth by maternal request. The remaining 98% were attributed to maternal and foetal indications and prior caesarean birth. In a multilevel mixed effects logistic regression adjusted for site and cluster of birth, when compared with caesareans performed for medical indications, caesarean birth performed for maternal request had a higher odds of being performed among women ≥35 y of age, with a university or higher level of education, with multiple gestations and with pregnancies complicated by hypertension (P < 0.01). Caesarean birth by maternal request was associated with a two-times increased odds of breastfeeding within 1 h of delivery, but no adverse outcomes (when compared with women who underwent caesarean birth for medical indications; P < 0.01). Conclusion: Caesarean performed by maternal request is more common in older and more educated women and those with multifoetal gestation or hypertensive disease. It is also associated with higher rates of breastfeeding within 1 h of delivery.
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    A Prospective Cause of Death Classification System for Maternal Deaths in Low and Middle-Income Countries: Results from the Global Network Maternal Newborn Health Registry
    (Wiley, 2017) Pasha, Omrana; McClure, Elizabeth M.; Saleem, Sarah; Sunder, Shiyam; Lokangaka, Adrien; Tshefu, Antoinette; Bose, Carl L.; Bauserman, Melissa; Mwenechanya, Musaku; Chomba, Elwyn; Carlo, Waldemar A.; Garces, Ana L.; Figueroa, Lester; Hambidge, K. Michael; Krebs, Nancy F.; Goudar, Shivaprasad; Kodkany, Bhalachandra S.; Dhaded, Sangappa; Derman, Richard J.; Patel, Archana; Hibberd, Patricia L.; Esamai, Fabian; Tenge, Constance; Liechty, Edward A.; Moore, Janet L.; Wallace, Dennis D.; Koso-Thomas, Marion; Miodovnik, Menachem; Goldenberg, Robert L.; Pediatrics, School of Medicine
    Objective To describe the causes of maternal death in a population-based cohort in six low and middle-income countries using a standardized, hierarchical, algorithmic cause of death (COD) methodology. Design A population-based, prospective observational study. Setting Seven sites in six low-middle income countries including the Democratic Republic of the Congo (DRC), Guatemala, India (2), Kenya, Pakistan and Zambia. Population All deaths amongst pregnant women resident in the study sites from 2014 to December 2016. Methods For women who died, we used a standardized questionnaire to collect clinical data regarding maternal conditions present during pregnancy and delivery. These data were analyzed using a computer-based algorithm to assign cause of maternal death based on the International Classification of Disease - Maternal Mortality system (trauma, abortion-related, eclampsia, hemorrhage, pregnancy-related infection and medical conditions). We also compared the COD results to health care provider assigned maternal COD. Main Outcome Measures Assigned causes of maternal mortality. Results Amongst 158,205 women, there were 221 maternal deaths. The most common algorithm-assigned maternal COD were obstetric hemorrhage (38.6%), pregnancy-related infection (26.4%) and preeclampsia/eclampsia (18.2%). Agreement between algorithm-assigned COD and COD assigned by health care providers ranged from 75% for hemorrhage to 25% for medical causes coincident to pregnancy. Conclusions The major maternal COD in the Global Network sites were hemorrhage, pregnancy-related infection and preeclampsia/eclampsia. This system could allow public health programs in low and middle-income countries to generate transparent and comparable data for maternal COD across time or regions.