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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    Can the date of last menstrual period be trusted in the first trimester? Comparisons of gestational age measures from a prospective cohort study in six low-income to middle-income countries
    (BMJ, 2023-09-20) Patel, Archana; Bann, Carla M.; Thorsten, Vanessa R.; Rao, Sowmya R.; Lokangaka, Adrien; Tshefu Kitoto, Antoinette; Bauserman, Melissa; Figueroa, Lester; Krebs, Nancy F.; Esamai, Fabian; Bucher, Sherri; Saleem, Sarah; Goldenberg, Robert L.; Chomba, Elwyn; Carlo, Waldemar A.; Goudar, Shivaprasad; Derman, Richard; Koso-Thomas, Marion; McClure, Elizabeth; Hibberd, Patricia L.; Pediatrics, School of Medicine
    Objectives: We examined gestational age (GA) estimates for live and still births, and prematurity rates based on last menstrual period (LMP) compared with ultrasonography (USG) among pregnant women at seven sites in six low-resource countries. Design: Prospective cohort study SETTING AND PARTICIPANTS: This study included data from the Global Network's population-based Maternal and Newborn Health Registry which follows pregnant women in six low-income and middle-income countries (Democratic Republic of the Congo, Guatemala, India, Kenya, Pakistan and Zambia). Participants in this analysis were 42 803 women, including their 43 230 babies, who registered for the study in their first trimester based on GA estimated either by LMP or USG and had a live or stillbirth with an estimated GA of 20-42 weeks. Outcome measures: GA was estimated in weeks and days based on LMP and/or USG. Prematurity was defined as GA of 20 weeks+0 days through 36 weeks+6 days, calculated by both USG and LMP. Results: Overall, average GA varied ≤1 week between LMP and USG. Mean GA for live births by LMP was lower than by USG (adjusted mean difference (95% CI) = -0.23 (-0.29 to -0.17) weeks). Among stillbirths, a higher GA was estimated by LMP than USG (adjusted mean difference (95% CI)= 0.42 (0.11 to 0.72) weeks). Preterm birth rates for live births were significantly higher when dated by LMP (adjusted rate difference (95% CI)= 4.20 (3.56 to 4.85)). There was no significant difference in preterm birth rates for stillbirths. Conclusion: The small differences in GA for LMP versus USG in the Guatemalan and Indian sites suggest that LMP may be a useful alternative to USG for GA dating during the first trimester until availability of USG improves in those areas. Further research is needed to assess LMP for first-trimester GA dating in other regions with limited access to USG.
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    Home birth attendants in low income countries: who are they and what do they do?
    (Springer Nature, 2012-05-14) Garces, Ana; McClure, Elizabeth M.; Chomba, Elwyn; Patel, Archana; Pasha, Omrana; Tshefu, Antoinette; Esamai, Fabian; Goudar, Shivaprasad; Lokangaka, Adrien; Hambidge, K. Michael; Wright, Linda L.; Koso-Thomas, Marion; Bose, Carl; Carlo, Waldemar A.; Liechty, Edward A.; Hibberd, Patricia L.; Bucher, Sherri; Whitworth, Ryan; Goldenberg, Robert L.; Pediatrics, School of Medicine
    Background: Nearly half the world's babies are born at home. We sought to evaluate the training, knowledge, skills, and access to medical equipment and testing for home birth attendants across 7 international sites. Methods: Face-to-face interviews were done by trained interviewers to assess level of training, knowledge and practices regarding care during the antenatal, intrapartum and postpartum periods. The survey was administered to a sample of birth attendants conducting home or out-of-facility deliveries in 7 sites in 6 countries (India, Pakistan, Guatemala, Democratic Republic of the Congo, Kenya and Zambia). Results: A total of 1226 home birth attendants were surveyed. Less than half the birth attendants were literate. Eighty percent had one month or less of formal training. Most home birth attendants did not have basic equipment (e.g., blood pressure apparatus, stethoscope, infant bag and mask manual resuscitator). Reporting of births and maternal and neonatal deaths to government agencies was low. Indian auxilliary nurse midwives, who perform some home but mainly clinic births, were far better trained and differed in many characteristics from the birth attendants who only performed deliveries at home. Conclusions: Home birth attendants in low-income countries were often illiterate, could not read numbers and had little formal training. Most had few of the skills or access to tests, medications and equipment that are necessary to reduce maternal, fetal or neonatal mortality.
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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.
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    The Global Network Socioeconomic Status Index as a predictor of stillbirths, perinatal mortality, and neonatal mortality in rural communities in low and lower middle income country sites of the Global Network for Women’s and Children’s Health Research
    (PLOS, 2022-08-16) Patel, Archana B.; Bann, Carla M.; Kolhe, Cherryl S.; Lokangaka, Adrien; Tshefu, Antoinette; Bauserman, Melissa; Figueroa, Lester; Krebs, Nancy F.; Esamai, Fabian; Bucher, Sherri; Saleem, Sarah; Goldenberg, Robert L.; Chomba, Elwyn; Carlo, Waldemar A.; Goudar, Shivaprasad; Derman, Richard J.; Koso-Thomas, Marion; McClure, Elizabeth M.; Hibberd, Patricia L.; Pediatrics, School of Medicine
    Background Globally, socioeconomic status (SES) is an important health determinant across a range of health conditions and diseases. However, measuring SES within low- and middle-income countries (LMICs) can be particularly challenging given the variation and diversity of LMIC populations. Objective The current study investigates whether maternal SES as assessed by the newly developed Global Network-SES Index is associated with pregnancy outcomes (stillbirths, perinatal mortality, and neonatal mortality) in six LMICs: Democratic Republic of the Congo, Guatemala, India, Kenya, Pakistan, and Zambia. Methods The analysis included data from 87,923 women enrolled in the Maternal and Newborn Health Registry of the NICHD-funded Global Network for Women’s and Children’s Health Research. Generalized estimating equations models were computed for each outcome by SES level (high, moderate, or low) and controlling for site, maternal age, parity, years of schooling, body mass index, and facility birth, including sampling cluster as a random effect. Results Women with low SES had significantly higher risks for stillbirth (p < 0.001), perinatal mortality (p = 0.001), and neonatal mortality (p = 0.005) than women with high SES. In addition, those with moderate SES had significantly higher risks of stillbirth (p = 0.003) and perinatal mortality (p = 0.008) in comparison to those with high SES. Conclusion The SES categories were associated with pregnancy outcomes, supporting the validity of the index as a non–income-based measure of SES for use in studies of pregnancy outcomes in LMICs.