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Prior studies have suggested that obstetrical (OB) ultrasound in low- and middle-income countries has aided in detection of high-risk conditions, which in turn could improve OB management. We are participating in a cluster-randomized clinical trial of OB ultrasound, which is designed to assess the effect of basic OB ultrasound on maternal mortality, fetal mortality, neonatal mortality, and maternal near-miss in 5 low-income countries. We designed a 2-week course in basic OB ultrasound, followed by 12 weeks of oversight, to train health care professionals with no prior ultrasound experience to perform basic OB ultrasound to screen for high-risk pregnancies. All patients with high-risk pregnancies identified by the trainees were referred to higher-level health facilities where fully trained sonographers confirmed the diagnoses before any actions were taken. Although there have been several published studies on basic OB ultrasound training courses for health care workers in low- and middle-income countries, quality control reporting has been limited. The purpose of this study is to report on quality control results of these trainees. Health care workers trained in similar courses could have an adjunctive role in ultrasound screening for high-risk OB conditions where access to care is limited. After completion of the ultrasound course, 41 trainees in 5 countries performed 3801 ultrasound examinations during a 12-week pilot period. Each examination was reviewed by ultrasound trainers for errors in scanning parameters and errors in diagnosis, using predetermined criteria. Of the 32,480 images comprising the 3801 examinations, 94.8% were rated as satisfactory by the reviewers. There was 99.4% concordance between trainee and reviewer ultrasound diagnosis. The results suggest that trained health care workers could play a role in ultrasound screening for high-risk OB conditions.

Background: In high-resource settings, obstetric ultrasound is a standard component of prenatal care used to identify pregnancy complications and to establish an accurate gestational age in order to improve obstetric care. Whether or not ultrasound use will improve care and ultimately pregnancy outcomes in low-resource settings is unknown. Methods/Design: This multi-country cluster randomized trial will assess the impact of antenatal ultrasound screening performed by health care staff on a composite outcome consisting of maternal mortality and maternal near-miss, stillbirth and neonatal mortality in low-resource community settings. The trial will utilize an existing research infrastructure, the Global Network for Women's and Children's Health Research with sites in Pakistan, Kenya, Zambia, Democratic Republic of Congo and Guatemala. A maternal and newborn health registry in defined geographic areas which documents all pregnancies and their outcomes to 6 weeks post-delivery will provide population-based rates of maternal mortality and morbidity, stillbirth, neonatal mortality and morbidity, and health care utilization for study clusters. A total of 58 study clusters each with a health center and about 500 births per year will be randomized (29 intervention and 29 control). The intervention includes training of health workers (e.g., nurses, midwives, clinical officers) to perform ultrasound examinations during antenatal care, generally at 18–22 and at 32–36 weeks for each subject. Women who are identified as having a complication of pregnancy will be referred to a hospital for appropriate care. Finally, the intervention includes community sensitization activities to inform women and their families of the availability of ultrasound at the antenatal care clinic and training in emergency obstetric and neonatal care at referral facilities. Discussion: In summary, our trial will evaluate whether introduction of ultrasound during antenatal care improves pregnancy outcomes in rural, low-resource settings. The intervention includes training for ultrasound-naïve providers in basic obstetric ultrasonography and then enabling these trainees to use ultrasound to screen for pregnancy complications in primary antenatal care clinics and to refer appropriately. Trial registration: Clinicaltrials.gov (NCT # 01990625)

INTRODUCTION: Cesarean section (CS) rates are increasing globally with an unclear effect on pregnancy outcomes. The study objective was to quantify maternal and perinatal morbidity and mortality associated with CS compared with vaginal delivery (VD) both within and across sites in low- and middle-income countries. MATERIAL AND METHODS: A prospective population-based study including home and facility births in 337 153 women with a VD and 47 308 women with a CS from 2010 to 2015 was performed in Guatemala, India, Kenya, Pakistan, Zambia and Democratic Republic of Congo. Women were enrolled during pregnancy; delivery and 6-week follow-up data were collected. RESULTS: Across all sites, CS rates increased from 8.6% to 15.2%, but remained low in African sites. Younger, nulliparous women were more likely to have a CS, as were women with higher education and those delivering an infant weighing 1500-2499 g. Across all sites, maternal and neonatal mortality was higher, and stillbirths were lower, in pregnancies delivered by CS. Antepartum and postpartum complications as well as obstetric interventions and treatments were more common among women who underwent CS. In stratified analyses, all outcomes were worse in women with a CS compared with VD in African compared to non-African sites. CONCLUSIONS: CS rates increased across all sites during the study period, but at more pronounced rates in the non-African sites. CS was associated with reduced postpartum hemorrhage and lower rates of stillbirths in the non-African sites. In the African sites, CS was associated with an increase in all adverse outcomes. Further studies are necessary to better understand the increase in adverse outcomes with CS in the African sites.

Introduction Cesarean section (CS) rates are increasing globally with an unclear effect on pregnancy outcomes. The study objective was to quantify maternal and perinatal morbidity and mortality associated with CS compared with vaginal delivery (VD) both within and across sites in low- and middle-income countries. Material and methods A prospective population-based study including home and facility births in 337 153 women with a VD and 47 308 women with a CS from 2010 to 2015 was performed in Guatemala, India, Kenya, Pakistan, Zambia and Democratic Republic of Congo. Women were enrolled during pregnancy; delivery and 6-week follow-up data were collected. Results Across all sites, CS rates increased from 8.6% to 15.2%, but remained low in African sites. Younger, nulliparous women were more likely to have a CS, as were women with higher education and those delivering an infant weighing 1500–2499 g. Across all sites, maternal and neonatal mortality was higher, and stillbirths were lower, in pregnancies delivered by CS. Antepartum and postpartum complications as well as obstetric interventions and treatments were more common among women who underwent CS. In stratified analyses, all outcomes were worse in women with a CS compared with VD in African compared to non-African sites. Conclusions CS rates increased across all sites during the study period, but at more pronounced rates in the non-African sites. CS was associated with reduced postpartum hemorrhage and lower rates of stillbirths in the non-African sites. In the African sites, CS was associated with an increase in all adverse outcomes. Further studies are necessary to better understand the increase in adverse outcomes with CS in the African sites.

INTRODUCTION: Cesarean section (CS) rates are increasing globally with an unclear effect on pregnancy outcomes. The study objective was to quantify maternal and perinatal morbidity and mortality associated with CS compared with vaginal delivery (VD) both within and across sites in low- and middle-income countries. MATERIAL AND METHODS: A prospective population-based study including home and facility births in 337 153 women with a VD and 47 308 women with a CS from 2010 to 2015 was performed in Guatemala, India, Kenya, Pakistan, Zambia and Democratic Republic of Congo. Women were enrolled during pregnancy; delivery and 6-week follow-up data were collected. RESULTS: Across all sites, CS rates increased from 8.6% to 15.2%, but remained low in African sites. Younger, nulliparous women were more likely to have a CS, as were women with higher education and those delivering an infant weighing 1500-2499 g. Across all sites, maternal and neonatal mortality was higher, and stillbirths were lower, in pregnancies delivered by CS. Antepartum and postpartum complications as well as obstetric interventions and treatments were more common among women who underwent CS. In stratified analyses, all outcomes were worse in women with a CS compared with VD in African compared to non-African sites. CONCLUSIONS: CS rates increased across all sites during the study period, but at more pronounced rates in the non-African sites. CS was associated with reduced postpartum hemorrhage and lower rates of stillbirths in the non-African sites. In the African sites, CS was associated with an increase in all adverse outcomes. Further studies are necessary to better understand the increase in adverse outcomes with CS in the African sites.

BACKGROUND: To describe quantitative data quality monitoring and performance metrics adopted by the Global Network´s (GN) Maternal Newborn Health Registry (MNHR), a maternal and perinatal population-based registry (MPPBR) based in low and middle income countries (LMICs). METHODS: Ongoing prospective, population-based data on all pregnancy outcomes within defined geographical locations participating in the GN have been collected since 2008. Data quality metrics were defined and are implemented at the cluster, site and the central level to ensure data quality. Quantitative performance metrics are described for data collected between 2010 and 2013. RESULTS: Delivery outcome rates over 95% illustrate that all sites are successful in following patients from pregnancy through delivery. Examples of specific performance metric reports illustrate how both the metrics and reporting process are used to identify cluster-level and site-level quality issues and illustrate how those metrics track over time. Other summary reports (e.g. the increasing proportion of measured birth weight compared to estimated and missing birth weight) illustrate how a site has improved quality over time. CONCLUSION: High quality MPPBRs such as the MNHR provide key information on pregnancy outcomes to local and international health officials where civil registration systems are lacking. The MNHR has measures in place to monitor data collection procedures and improve the quality of data collected. Sites have increasingly achieved acceptable values of performance metrics over time, indicating improvements in data quality, but the quality control program must continue to evolve to optimize the use of the MNHR to assess the impact of community interventions in research protocols in pregnancy and perinatal health. ; Fil: Goudar, Shivaprasad S. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Stolka, Kristen B. Research Triangle Institute International; Estados Unidos ; Fil: Koso Thomas, Marion. Eunice Kennedy Shriver National Institute of Child Health and Human Development; Estados Unidos ; Fil: Honnungar, Narayan V. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Mastiholi, Shivanand C. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Ramadurg, Umesh Y. S. Nijalingappa Medical College; India ; Fil: Dhaded, Sangappa M. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Pasha, Omrana. Aga Khan University; Pakistán ; Fil: Patel, Archana. Indira Gandhi Government Medical College and Lata Medical Research Foundation; India ; Fil: Esamai, Fabian. University School of Medicine; Kenia ; Fil: Chomba, Elwyn. University of Zambia; Zambia ; Fil: Garces, Ana. Universidad de San Carlos; Guatemala ; Fil: Althabe, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Carlo, Waldemar A. University of Alabama at Birmingahm; Estados Unidos ; Fil: Goldenberg, Robert L. Columbia University; Estados Unidos ; Fil: Hibberd, Patricia L. Massachusetts General Hospital for Children; Estados Unidos ; Fil: Liechty, Edward A. Indiana University; Estados Unidos ; Fil: Krebs, Nancy F. University of Colorado School of Medicine; Estados Unidos ; Fil: Hambidge, Michael K. University of Colorado School of Medicine; Estados Unidos ; Fil: Moore, Janet L. Research Triangle Institute International; Estados Unidos ; Fil: Wallace, Dennis D. Research Triangle Institute International; Estados Unidos ; Fil: Derman, Richard J. Christiana Care Health Services; Estados Unidos ; Fil: Bhalachandra, Kodkany S. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Bose, Carl L. University of North Carolina; Estados Unidos

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.