BackgroundSkilled birth attendance and institutional delivery have been advocated for reducing maternal, perinatal and neonatal mortality (PMR and NMR). India has successfully implemented various strategies to promote skilled attendance and incentivize institutional deliveries in the last 5 years.ObjectivesThe study evaluates the trends in institutional delivery, PMR, NMR, and their risk factors in two Eunice Kennedy Shriver NICHD Global Network for Women’s and Children’s Health Research sites, in Belgaum and Nagpur, India, between January 2010 and December 2013.Design/methodsDescriptive data stratified by level of delivery care and key risk factors were analyzed for 36 geographic clusters providing 48 months of data from a prospective, population-based surveillance system that registers all pregnant permanent residents in the study area, and their pregnancy outcomes irrespective of where they deliver. Log binomial models with generalized estimating equations to control for correlation of clustered observations were used to test the trends significanceResults64,803 deliveries were recorded in Belgaum and 39,081 in Nagpur. Institutional deliveries increased from 92.6% to 96.1% in Belgaum and from 89.5% to 98.6% in Nagpur (both p<0.0001); hospital rates increased from 63.4% to 71.0% (p=0.002) and from 63.1% to 72.0% (p<0.0001), respectively. PMR declined from 41.3 to 34.6 (p=0.008) deaths per 1,000 births in Belgaum and from 47.4 to 40.8 (p=0.09) in Nagpur. Stillbirths also declined, from 22.5 to 16.3 per 1,000 births in Belgaum and from 29.3 to 21.1 in Nagpur (both p=0.002). NMR remained unchanged.ConclusionsSignificant increases in institutional deliveries, particularly in hospitals, were accompanied by reductions in stillbirths and PMR, but not by NMR.
BackgroundApproximately 3 million neonatal deaths occur each year worldwide. Simple interventions have been tested and found to be effective in reducing the neonatal mortality. In order to effectively implement public health interventions, it is important to know the rates of neonatal mortality and understand the contributing risk factors. Hence, this prospective, population-based, observational study was carried out to inform these needs.MethodsThe Global Network’s Maternal Newborn Health Registry was initiated in the seven sites in 2008. Registry administrators (RAs) attempt to identify and enroll all eligible women by 20 weeks gestation and collect basic health data, and outcomes after delivery and at 6 weeks post-partum. All study data were collected, reviewed, and edited by staff at each study site. The study was reviewed and approved by each sites’ ethics review committee.ResultsOverall, the 7-day neonatal mortality rate (NMR) was 20.6 per 1000 live births and the 28-day NMR was 25.7 per 1000 live births. Higher neonatal mortality was associated with maternal age > 35 and <20 years relative to women 20-35 years of age. Preterm births were at increased risk of both early and 28-day neonatal mortality (RR 8.1, 95% CI 7.5-8.8 and 7.5, 95% CI 6.9-8.1) compared to term as were those with low birth weight (<2500g). Neonatal resuscitation rates were 4.8% for hospital deliveries compared to 0.9% for home births. In the hospital, 26.5% of deliveries were by cesarean section with an overall cesarean section rate of 12.5%. Neonatal mortality rates were highest in the Pakistan site and lowest in Argentina.ConclusionsUsing prospectively collected data with high follow up rates (99%), we documented characteristics associated with neonatal mortality. Low birth weight and prematurity are among the strongest predictors of neonatal mortality. Other risk factors for neonatal deaths included male gender, multiple gestation and major congenital anomalies. Breech presentation/transverse lie, and no antenatal care were also significant risk factors for neonatal death. Coverage of interventions varied by setting of delivery, with the overall population rate of most evidence-based interventions low. This study informs about risk factors for neonatal mortality which can serve to design strategies/interventions to reduce risk of neonatal mortality.Trial registrationThe trial is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475
Introduction The World Health Organization’s (WHO) Labour Care Guide (LCG) is a “next‐generation” partograph based on WHO’s latest intrapartum care recommendations. It aims to optimize clinical care provided to women and their experience of care. We evaluated the LCG’s usability, feasibility, and acceptability among maternity care practitioners in clinical settings. Methods Mixed‐methods evaluation with doctors, midwives, and nurses in 12 health facilities across Argentina, India, Kenya, Malawi, Nigeria, and Tanzania. Purposively sampled and trained practitioners applied the LCG in low‐risk women during labor and rated experiences, satisfaction, and usability. Practitioners were invited to focus group discussions (FGDs) to share experiences and perceptions of the LCG, which were subjected to framework analysis. Results One hundred and thirty‐six practitioners applied the LCG in managing labor and birth of 1,226 low‐risk women. The majority of women had a spontaneous vaginal birth (91.6%); two cases of intrapartum stillbirths (1.63 per 1000 births) occurred. Practitioner satisfaction with the LCG was high, and median usability score was 67.5%. Practitioners described the LCG as supporting precise and meticulous monitoring during labor, encouraging critical thinking in labor management, and improving the provision of woman‐centered care. Conclusions The LCG is feasible and acceptable to use across different clinical settings and can promote woman‐centered care, though some design improvements would benefit usability. Implementing the LCG needs to be accompanied by training and supportive supervision, and strategies to promote an enabling environment (including updated policies on supportive care interventions, and ensuring essential equipment is available).
Data sharing is increasingly mandated by health research funders and publishers. In the context of data collected in low-resource settings, concerns have been raised regarding inequitable opportunities to engage in secondary use of data between researchers in well-resourced and resource-limited settings. In this context, we present three case studies and their issues related to equity: the multicountry Antenatal Corticosteroid Trial, health research in the Dominican Repulic and the WorldWide Antimalarial Resistance Network. These case studies were discussed at the 2018 Global Forum for Bioethics in Research in South Africa, focussing on the theme “The ethics of data sharing and biobanking in health research”. The case studies provide concrete examples of real challenges such as lack of prior consent for data sharing, potential for misinterpretation of data by secondary users and limited capacity of researchers in low-resource settings to conduct secondary analyses. We conclude by suggesting ways forward. We stress the importance of capacity building and investments in data management and data science skills, and in data sharing platforms supporting poverty-related disease research. In addition, we recommend that there should be incentives to promote data sharing and that research groups and institutions establish their own data sharing policies tailored to their context, data and community while persuing harmonization with existing policies as much as possible. We also think that international guidelines on authorship criteria should be revisited. For new studies, researchers should obtain consent for sharing of participants’ data with secondary users. Lastly we recommend that community and stakeholder engagement be conducted to improve the consent process and identify what might be sensitive data to mitigate any potential harms to data subjects and their communities.
IntroductionEnding preventable deaths of newborns and children under 5 will not be possible without evidence-based strategies addressing the health and care of low birthweight (LBW, <2.5 kg) infants. The majority of LBW infants are born in low- and middle-income countries (LMICs) and account for more than 60%–80% of newborn deaths. Feeding promotion tailored to meet the nutritional needs of LBW infants in LMICs may serve a crucial role in curbing newborn mortality rates and promoting growth. The Low Birthweight Infant Feeding Exploration (LIFE) study aims to establish foundational knowledge regarding optimal feeding options for LBW infants in low-resource settings throughout infancy.Methods and analysisLIFE is a formative, multisite, observational cohort study involving 12 study facilities in India, Malawi and Tanzania, and using a convergent parallel, mixed-methods design. We assess feeding patterns, growth indicators, morbidity, mortality, child development and health system inputs that facilitate or hinder care and survival of LBW infants.Ethics and disseminationThis study was approved by 11 ethics committees in India, Malawi, Tanzania and the USA. The results will be disseminated through peer-reviewed publications and presentations targeting the global and local research, clinical, programme implementation and policy communities.Trial registration numbersNCT04002908 and CTRI/2019/02/017475.
South Asia has >50% of the global burden of low birth weight (LBW). The objective was to determine the extent to which maternal nutrition interventions commenced before conception or in the 1 st trimester improved fetal growth in this region. This was a secondary analysis of combined newborn anthropometric data for the South Asian sites (India and Pakistan) in the Women First Preconception Maternal Nutrition Trial. Participants were 972 newborn of mothers who were poor, rural, unselected on basis of nutritional status, and had been randomized to receive a daily lipid-based micronutrient supplement commencing �3 months prior to conception (Arm 1), in the 1 st trimester (Arm 2), or not at all (Arm 3). An additional protein-energy supplement was provided if BMI <20 kg/m 2 or gestational weight gain was less than guidelines. Gestational age was established in the 1 st trimester and newborn anthropometry obtained <48-hours post-delivery. Mean differences at birth between Arm 1 vs. 3 were length +5.3mm and weight +89g. Effect sizes (ES) and relative risks (RR) with 95% CI for Arm 1 vs.
Background Neonatal mortality causes a substantial proportion of the under-5 mortality in low and middle-income countries (LMIC). Methods We undertook a prospective, population-based research study of pregnant women residing in defined geographic areas in the Karnataka State of India, a research site of the Global Network for Women’s and Children’s Health Research. Study staff collected demographic and health care characteristics on eligible women enrolled with neonatal outcomes obtained at delivery and day 28. Cause of neonatal mortality at day 28 was assigned by algorithm using prospectively defined variables. Results From 2014 to 2018, the neonatal mortality rate was 24.5 per 1,000 live births. The cause of the 28-day neonatal deaths was attributed to prematurity (27.9%), birth asphyxia (25.1%), infection (23.7%) and congenital anomalies (18.4%). Four or more antenatal care (ANC) visits was associated with a lower risk of neonatal death compared to fewer ANC visits. In the adjusted model, compared to liveborn infants ≥ 2500 g, infants born weighing < 1000 g RR for mortality was 25.6 (95%CI 18.3, 36.0), for 1000-1499 g infants the RR was 19.8 (95% CI 14.2, 27.5) and for 1500–2499 g infants the RR was 3.1 (95% CI 2.7, 3.6). However, more than one-third (36.8%) of the deaths occurred among infants with a birthweight ≥ 2500 g. Infants born preterm (< 37 weeks) were also at higher risk for 28-day mortality (RR 7.9, 95% CI 6.9, 9.0) compared to infants ≥ 37 weeks. A one-week decrease in gestational age at delivery was associated with a higher risk of mortality with a RR of 1.3 (95% CI 1.3, 1.3). More than 70% of all the deliveries occurred at a hospital. Among infants who died, 50.3% of the infants had received bag/mask ventilation, 47.3% received antibiotics, and 55.6% received oxygen. Conclusions Consistent with prior research, the study found that infants who were preterm and low-birth weight remained at highest risk for 28-day neonatal mortality in India. Although most of births now occur within health facilities, a substantial proportion are not receiving basic life-saving interventions. Further efforts to understand the impact of care on infant outcomes are needed. Study registration The trial is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475
BackgroundAs per the World Health Organization, the nutritional status of women of reproductive age is important, as effects of undernutrition are propagated to future generations. More than one-third of Indian women in the reproductive age group are in a state of chronic nutritional deficiency during the preconception period leading to poor health and likely resulting in low birth weight babies. This study was aimed to assess the food insecurity and nutritional status of preconception women in a rural population of north Karnataka.MethodsA total of 770 preconception women were enrolled across a district in Karnataka from selected primary health centre areas by a cluster sampling method. Data on socioeconomic status, food insecurity and obstetric history were collected by trained research assistants, interviewing women at home. In half of the participants, a 1 day 24 –hour dietary recalls were conducted by dietary assistants to assess the dietary intakes. Anthropometric measurements and haemoglobin estimation were carried out at the health centres.ResultsIn the present study, a majority of the participants (64.8%) belonged to the lower socio-economic classes and the prevalence of food insecurity was 27.4%. A majority of the participants had mild (15.5%) to moderate (78.6%) anaemia. About one-third of the participants (36.6%) were underweight. Significant associations were found between socio-economic status and anaemia (p = 0.0006) and between food insecurity and anaemia (p = 0.0001).ConclusionThe nutritional status of preconception women was poor and anemia was more prevalent in low-socioeconomic and food insecure population.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.