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Background Neonatal mortality comprises an increasing proportion of childhood deaths in the developing world. Essential newborn care practices as recommended by the WHO may improve neonatal outcomes in resource limited settings. Our objective was to pilot a Helping Babies Breathe and Essential Care for Every Baby (HBB and ECEB) implementation package using HBB-ECEB training combined with supportive supervision in rural Nicaragua. Methods We employed an HBB-ECEB implementation package in El Ayote and Santo Domingo, two rural municipalities in Nicaragua and used a pre- and post- data collection design for comparison. Following a period of pre-intervention data collection (June–August 2015), care providers were trained in HBB and ECEB using a train-the- trainer model. An external supportive supervisor monitored processes of care and collected data. Data on newborn care processes and short-term outcomes such as hypothermia were collected from facility medical records and analyzed using standard run charts. Home visits were used to determine breastfeeding rates at 7, 30 and 60 days. Results There were 480 institutional births during the study period (June 2015–June 2016). Following the HBB-ECEB implementation package, cord care improved (pre-intervention median 66%; post-intervention shift to ≥85%) and early skin-to-skin care improved (pre-intervention median 0%; post-intervention shift to ≥56%, with a high of 92% in June 2016). Rates of administration of ophthalmic ointment and vitamin K were high pre-intervention (median 97%) and remained high. Early initiation of breastfeeding increased with a pre-intervention median of 25% and post-intervention shift to ≥28%, with a peak of 81% in June 2016. Exclusive breastfeeding rates increased short-term but were not significantly different by 60-days of life (9% pre-intervention versus 21% post-intervention). Conclusions The implementation of the HBB-ECEB programs combined with supportive supervision improved the quality of care for newborns in terms of cord care, early skin-to-skin care and early initiation of breastfeeding. The rates of administration of ophthalmic ointment and vitamin K were high pre- intervention and remained high afterwards. These findings show that HBB-ECEB programs implemented with supportive supervision can improve quality of care for newborns.

One-quarter of neonatal and infant deaths are due to infection, and the majority of these deaths occur in developing countries. Standard treatment for infection, which includes parenteral treatment only, is often not available in low-resource settings. Infant mortality will not be reduced in developing countries without a reduction in deaths due to infection. We participated in a multi-site trial that demonstrated the effectiveness of three simplified antibiotic regimens compared to standard treatment (The AFRINEST Trial: parent study). For this report, we examined the site-specific data for the Democratic Republic Congo (DRC), the most impoverished of the countries that participated in the study, to determine if outcomes in the DRC were similar to outcomes across all sites., info:eu-repo/semantics/published

Background Maternal stature and body mass indices (BMI) of non-pregnant women (NPW) of child bearing age are relevant to maternal and offspring health. The objective was to compare anthropometric indices of NPW in four rural communities in low- to low-middle income countries (LMIC). Methods Anthropometry and maternal characteristics/household wealth questionnaires were obtained for NPW enrolled in the Women First Preconception Maternal Nutrition Trial. Body mass index (BMI, kg/m2) was calculated. Z-scores were determined using WHO reference data. Results A total of 7268 NPW participated in Equateur, DRC (n = 1741); Chimaltenango, Guatemala (n = 1695); North Karnataka, India (n = 1823); and Thatta, Sindh, Pakistan (n = 2009). Mean age was 23 y and mean parity 1.5. Median (P25-P75) height (cm) ranged from 145.5 (142.2–148.9) in Guatemala to 156.0 (152.0–160.0) in DRC. Median weight (kg) ranged from 44.7 (39.9–50.3) in India to 52.7 (46.9–59.8) in Guatemala. Median BMI ranged from 19.4 (17.6–21.9) in India to 24.9 (22.3–28.0) in Guatemala. Percent stunted (

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

Background Because of a physician shortage in many low-income countries, the use of nonphysicians to classify perinatal mortality (stillbirth and early neonatal death) using verbal autopsy could be useful. Objective To determine the extent to which underlying perinatal causes of deaths assigned by nonphysicians in Guatemala, Pakistan, Zambia, and the Democratic Republic of the Congo using a verbal autopsy method are concordant with underlying perinatal cause of death assigned by physician panels. Methods Using a train-the-trainer model, 13 physicians and 40 nonphysicians were trained to determine cause of death using a standardized verbal autopsy training program. Subsequently, panels of two physicians and individual nonphysicians from this trained cohort independently reviewed verbal autopsy data from a sample of 118 early neonatal deaths and 134 stillbirths. With the cause of death assigned by the physician panel as the reference standard, sensitivity, specificity, positive and negative predictive values, and cause-specific mortality fractions were calculated to assess nonphysicians' coding responses. Robustness criteria to assess how well nonphysicians performed were used. Results Causes of early neonatal death and stillbirth assigned by nonphysicians were concordant with physician-assigned causes 47% and 57% of the time, respectively. Tetanus filled robustness criteria for early neonatal death, and cord prolapse filled robustness criteria for stillbirth. Conclusions There are significant differences in underlying cause of death as determined by physicians and nonphysicians even when they receive similar training in cause of death determination. Currently, it does not appear that nonphysicians can be used reliably to assign underlying cause of perinatal death using verbal autopsy.