Background Training of birth attendants in neonatal resuscitation is likely to reduce birth asphyxia and neonatal mortality. We performed a systematic review and meta-analysis to assess the impact of neonatal resuscitation training (NRT) programme in reducing stillbirths, neonatal mortality, and perinatal mortality Methods We considered studies where any NRT was provided to healthcare personnel involved in delivery process and handling of newborns. We searched MEDLINE, CENTRAL, ERIC and other electronic databases. We also searched ongoing trials and bibliographies of the retrieved articles, and contacted experts for unpublished work. We undertook screening of studies and assessment of risk of bias in duplicates. We performed review according to Cochrane Handbook. We assessed the quality of evidence using the GRADE approach. Results We included 20 trials with 1 653 805 births in this meta-analysis. The meta-analysis of NRT versus control shows that NRT decreases the risk of all stillbirths by 21% (RR 0.79, 95% CI 0.44 to 1.41), 7-day neonatal mortality by 47% (RR 0.53, 95% CI 0.38 to 0.73), 28-day neonatal mortality by 50% (RR 0.50, 95% CI 0.37 to 0.68) and perinatal mortality by 37% (RR 0.63, 95% CI 0.42 to 0.94). The meta-analysis of pre-NRT versus post-NRT showed that post-NRT decreased the risk of all stillbirths by 12% (RR 0.88, 95% CI 0.83 to 0.94), fresh stillbirths by 26% (RR 0.74, 95% CI 0.61 to 0.90), 1-day neonatal mortality by 42% (RR 0.58, 95% CI 0.42 to 0.82), 7-day neonatal mortality by 18% (RR 0.82, 95% CI 0.73 to 0.93), 28-day neonatal mortality by 14% (RR 0.86, 95% CI 0.65 to 1.13) and perinatal mortality by 18% (RR 0.82, 95% CI 0.74 to 0.91). Conclusions Findings of this review show that implementation of NRT improves neonatal and perinatal mortality. Further good quality randomised controlled trials addressing the role of NRT for improving neonatal and perinatal outcomes may be warranted. Trial registration number PROSPERO 2016:CRD42016043668

India has a higher number of deaths due to acute lower respiratory infections (ALRIs) in children <5 years than any other country. The underlying cause of half of ALRI deaths is household air pollution from burning of solid fuels, according to the World Health Organization. If there is a direct association between duration of exposure and increased ALRI risk, a potential strategy might be to limit the child’s exposure to burning solid fuel. Children born to pregnant women participating in the Global Network for Women and Children's Health Maternal and Newborn Health Registry near Nagpur, India were followed every two weeks from birth to six months to diagnose ALRI. The number of hours per day that the child’s mother spent in front of a burning solid fuel cookstove was recorded. Children of mothers using only clean cookstoves were classified as having zero hours of exposure. Odds Ratios with 95% confidence intervals were obtained from Generalized Estimating Equations logistic models that assessed the relationship of exposure to solid fuels with risk of ≥1 ALRI, adjusted for sex of the child, household smoking, wealth, maternal age, birth weight and parity. Between August 2013 and March 2014, 302 of 1,586 children (19%) had ≥1 episode of ALRI. Results from the multivariable analysis indicate that the odds of ALRI significantly increased from 1.2 (95% CI: 0.7–2.2) for 3 hours of exposure to solid fuel cookstoves compared with no exposure (p<0.01). Additionally, decreasing wealth [middle: 1.2 (0.9, 1.6); poor: 1.4 (1.2–1.7); p<0.001] was associated with ALRIs. Our study findings indicate that increasing the time mothers spend cooking near solid fuel cookstoves while children are in the house may be associated with development of ≥1 ALRI in children <6 months.

The World Health Organization identifies pregnant women as at high-risk for severe influenza, but influenza vaccines are underutilized among pregnant women. Data on influenza burden during pregnancy are largely limited to high-income countries and data on the impact of influenza on birth and perinatal outcomes are scarce. This prospective, longitudinal cohort study of pregnant women in middle-income countries is designed to address three primary objectives: 1) to evaluate the effect of laboratory-confirmed influenza during pregnancy on pregnancy and perinatal outcomes; 2) to estimate the incidences of all-cause acute respiratory illness and laboratory-confirmed influenza during pregnancy; and 3) to examine the clinical spectrum of illness associated with influenza viruses. Through a multi-country network approach, three sites aim to enroll cohorts of 1500–3000 pregnant women just before local influenza seasons. Women aged ≥ 18 years with expected delivery dates ≥ 8 weeks after the start of the influenza season are eligible. Women are followed throughout pregnancy through twice weekly surveillance for influenza symptoms (≥ 1 of myalgia, cough, runny nose, sore throat, or difficulty breathing) and have mid-turbinate nasal swabs collected for influenza virus testing during illness episodes. Primary outcomes include relative risk of preterm birth and mean birth weight among term singleton infants of women with and without reverse transcription polymerase chain reaction-confirmed influenza during pregnancy. Gestational age is determined by ultrasound at < 28 weeks gestation and birth weight is measured by digital scales using standardized methods. Sites are primarily urban in Bangkok, Thailand; Lima, Peru; and Nagpur, India. All sites recruit from antenatal clinics at referral hospitals and conduct surveillance using telephone calls, messaging applications, or home visits. Nasal swabs are self-collected by participants in Thailand and by study staff in Peru and India. During the first year (2017), sites enrolled participants during March–May in Peru and May–July in India and Thailand; 4779 women were enrolled. This study aims to generate evidence of the impact of influenza during pregnancy to inform decisions by Ministries of Health, healthcare providers, and pregnant women in middle-income countries about the value of influenza vaccination during pregnancy.

Introduction: We evaluated knowledge, attitudes, and practices (KAP) related to influenza and influenza vaccination among pregnant women in three selected countries. Methods: During 2017, pregnant women seeking antenatal care at hospitals at participating sites were enrolled. We described characteristics and responses to KAP questions. We also evaluated predictors associated with influenza vaccination during pregnancy at sites with substantial influenza vaccine uptake by multivariable logistic regression. Results: Overall, 4,648 pregnant women completed the survey. There were substantial differences among the three survey populations; only 8% of the women in Nagpur had heard of influenza, compared to 90% in Lima and 96% in Bangkok (p-value<0.01). Despite significant differences in sociodemographic characteristics in the three populations, most participants across sites who were aware of influenza prior to study enrollment believe they and their infants are at risk of influenza and related complications and believe influenza vaccination is safe and effective. Half of women in Lima had verified receipt of influenza vaccine compared to <5% in Bangkok and Nagpur (p < .05). For further analysis conducted among women in Lima only, household income above the poverty line (aOR: 1.38; 95%CI: 1.01, 1.88), having 8+ antenatal visits, compared to 0–4 (aOR: 2.41; 95%CI: 1.39, 2.87, respectively), having 0 children, compared to 2+ (aOR: 1.96; 95%CIs: 1.23, 3.12), and vaccination recommended by a health-care provider (aOR: 8.25; 95%CI: 6.11, 11.14) were strongly associated with receipt of influenza vaccine during pregnancy. Conclusions: Our findings identify opportunities for targeted interventions to improve influenza vaccine uptake among pregnant women in these settings.

The Helping Babies Breathe (HBB) educational program focuses on training of first-level birth attendants in neonatal resuscitation skills for the first minute of life (The Golden Minute). Pre-post studies of HBB implementation in sub-Saharan Africa and Asia have shown reductions in facility-based very early neonatal mortality and stillbirth rates. However, the Global Network pre-post HBB Implementation Study (GN-HBB-IS) found no difference in day 7 perinatal mortality rates (PMR-D7) among births to women participating in the Global Network’s Maternal and Newborn Health Registry. To address potential differences in perinatal outcomes in births occurring in facilities that implemented HBB vs. all births occurring in the communities served by facilities that implemented HBB, we compared day-1 perinatal mortality rates (PMR-D1) among births occurring pre and post HBB implementation in facilities in Nagpur, India, one of the 3 sites participating in the GN-HBB-IS. We hypothesized that there would be a 20% decrease in the Nagpur facility based PMR-D1 in the 12 months post GN HBB implementation from the pre-period. We explored pre-post differences in stillbirth rates (SBR) and day-1 neonatal mortality rates (NMR-D1). Of the 15 facilities trained for the GN-HBB-IS, 13 participated in the Nagpur HBB Facility Study (Nagpur-HBB-FS). There were 38,078 facility births in the 12 months before the GN-HBB-IS and 40,870 facility births in the 12 months after the GN-HBB-IS. There was 11% overlap between the registry births analyzed in the GN-HBB-IS and the facility births analyzed in the Nagpur-HBB-FS. In the Nagpur-HBB-FS, there was a pre-post reduction of 16% in PMR-D1 (p = 0.0001), a 14% reduction in SBR (p = 0.002) and a 20% reduction NMR-D1 (p = 0.006). In the Nagpur-HBB-FS, PMR-D1, stillbirths and NMR-D1 were significantly lower after HBB implementation. These benefits did not translate to improvements in PMR-D7 in communities served by these facilities, possibly because facilities in which HBB was implemented covered an insufficient proportion of community births or because additional interventions are needed after day 1 of life. Further studies are needed to determine how to translate facility-based improvements in PMR-D1 to improved neonatal survival in the community. The Global Network HBB Implementation Study (GN-HBB-IS) was registered at ClinicalTrials.gov: NCT01681017 .

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Although rates of preterm birth continue to increase globally, identification of preterm from low birth weight infants (LBW) remains a challenge. The burden of LBW vs. preterm is greatest in low resource settings, where gestational age (GA) prior to delivery is frequently not known because ultrasound in early pregnancy is not available and estimates of the date of the last menstrual period (LMP) may not be reliable. An alternative is to assess GA at birth to optimize referral and care of preterm newborns. We had previously developed and pilot tested a simplified gestational age scoring system (SGAS) based on 4 easily observable neonatal characteristics. Objective: The objective of this study is to adapt the scoring system as a tablet app (potentially scalable approach), to assess feasibility of use and to validate whether it accurately predicts prematurity by itself, over and above birth weight in a large sample of newborns. Methods: The study is based in Nagpur, India, at the Research Unit of the National Institute of Child Health and Human Development’s Global Network for Women’s and Children’s Health Research. The android Tablet app for SGAS (T-SGAS) displays de-identified photographs of skin, breasts and genitalia across a range of GAs and line drawings of infant posture, each item associated with a score. The user is trained to choose the photograph or line drawing that most closely matches a newborn being evaluated and the app determines the neonate’s GA category (preterm or term) from the cumulative score. The validation study will be conducted in 3 secondary care hospitals (most deliveries in India occur in hospitals, and women known to be at risk of preterm birth are referred to secondary facilities). Within 24 hours of delivery, women and their babies who are stable will be enrolled in the study. Two Auxiliary Nurse Midwives (ANM) blinded to prior GA assessments will use T-SGAS to estimate the GA status of the newborn. An independent data collector will abstract the GA from the ultrasound recorded in the hospital chart and record the date of the mother’s LMP. Eligibility for analysis is determined by the ultrasound and LMP data being within 1 week of each other to have a rigorous assessment of true GA. Results: Publication of the results of the study is anticipated in 2018. Conclusions: Until GA dating by ultrasound is universally available and easy to use in resource limited settings and where use of ultrasound is restricted due to use of ultrasound for sex determination and abortion of female fetuses, this study will determine whether the T-SGAS app can accurately assess GA in risk categories at birth. Clinical Trial: NCT02408783