scholarly journals Effect of home-based newborn care on neonatal and infant mortality: a cluster randomised trial in India

2020 ◽  
Vol 5 (9) ◽  
pp. e000680
Author(s):  
Reeta Rasaily ◽  
NC Saxena ◽  
Sushma Pandey ◽  
Bishan S Garg ◽  
Saraswati Swain ◽  
...  

BackgroundHome-based newborn care has been found to reduce neonatal mortality in rural areas. Study evaluated effectiveness of home-based care delivered by specially recruited newborn care workers- Shishu Rakshak (SR) and existing workers- anganwadi workers (AWW) in reducing neonatal and infant mortality rates.MethodsThis three-arm, community-based, cluster randomised trial was conducted in five districts in India. Intervention package consisted of pregnancy surveillance, health education, care at birth, care of normal/low birthweight neonates, identification and treatment of sick neonates and young infants using oral and injectable antibiotics and community mobilisation. The package was similar in both intervention arms—SR and AWW; difference being healthcare provider. The control arm received routine health services from the existing health system. Primary outcomes were neonatal and young infant mortality rates at ‘endline’ period (2008–2009) assessed by an independent team from January to April 2010 in the study clusters.FindingsA total of 6623, 6852 and 5898 births occurred in the SR, AWW and control arms, respectively, during the endline period; the proportion of facility births were 69.0%, 64.4% and 70.6% in the three arms. Baseline mortality rates were comparable in three arms. During the endline period, the risk of neonatal mortality was 25% lower in the SR arm (adjusted OR 0.75, 95% CI 0.57 to 0.99); the risks of early neonatal mortality, young infant mortality and infant mortality were also lower by 32%, 27%, and 33%, respectively. The risks of neonatal, early neonatal, young infant, infant mortality in the AWW arm were not different from that of the control arm.InterpretationHome-based care is effective in reducing neonatal and infant mortality rates, when delivered by a dedicated worker, even in settings with high rates of facility births.Trial registration numberThe study was registered with Clinical Trial Registry of India (CTRI/2011/12/002181).

2008 ◽  
Vol 40 (2) ◽  
pp. 183-201 ◽  
Author(s):  
PERIANAYAGAM AROKIASAMY ◽  
ABHISHEK GAUTAM

SummaryIn India, the eight socioeconomically backward states of Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Orissa, Rajasthan, Uttaranchal and Uttar Pradesh, referred to as the Empowered Action Group (EAG) states, lag behind in the demographic transition and have the highest infant mortality rates in the country. Neonatal mortality constitutes about 60% of the total infant mortality in India and is highest in the EAG states. This study assesses the levels and trends in neonatal mortality in the EAG states and examines the impact of bio-demographic compared with health care determinants on neonatal mortality. Data from India’s Sample Registration System (SRS) and National Family and Health Survey (NFHS-2, 1998–99) are used. Cox proportional hazard models are applied to estimate adjusted neonatal mortality rates by health care, bio-demographic and socioeconomic determinants. Variations in neonatal mortality by these determinants suggest that universal coverage of all pregnant women with full antenatal care, providing assistance at delivery and postnatal care including emergency care are critical inputs for achieving a reduction in neonatal mortality. Health interventions are also required that focus on curtailing the high risk of neonatal deaths arising from the mothers’ younger age at childbirth, low birth weight of children and higher order births with short birth intervals.


2018 ◽  
Vol 72 (9) ◽  
pp. 776-782
Author(s):  
Leif Eriksson ◽  
Nguyen T Nga ◽  
Dinh T Phuong Hoa ◽  
Duong M Duc ◽  
Anna Bergström ◽  
...  

BackgroundLittle is know about whether the effects of community engagement interventions for child survival in low-income and middle-income settings are sustained. Seasonal variation and secular trend may blur the data. Neonatal mortality was reduced in a cluster-randomised trial in Vietnam where laywomen facilitated groups composed of local stakeholders employing a problem-solving approach for 3 years. In this analysis, we aim at disentangling the secular trend, the seasonal variation and the effect of the intervention on neonatal mortality during and after the trial.MethodsIn Quang Ninh province, 44 communes were allocated to intervention and 46 to control. Births and neonatal deaths were assessed in a baseline survey in 2005, monitored during the trial in 2008–2011 and followed up by a survey in 2014. Time series analyses were performed on monthly neonatal mortality data.ResultsThere were 30 187 live births and 480 neonatal deaths. The intervention reduced the neonatal mortality from 19.1 to 11.6 per 1000 live births. The reduction was sustained 3 years after the trial. The control areas reached a similar level at the time of follow-up. Time series decomposition analysis revealed a downward trend in the intervention areas during the trial that was not found in the control areas. Neonatal mortality peaked in the hot and wet summers.ConclusionsA community engagement intervention resulted in a lower neonatal mortality rate that was sustained but not further reduced after the end of the trial. When decomposing time series of neonatal mortality, a clear downward trend was demonstrated in intervention but not in control areas.Trial registration numberISRCTN44599712, Post-results.


PLoS Medicine ◽  
2015 ◽  
Vol 12 (9) ◽  
pp. e1001881 ◽  
Author(s):  
Claudia Hanson ◽  
Fatuma Manzi ◽  
Elibariki Mkumbo ◽  
Kizito Shirima ◽  
Suzanne Penfold ◽  
...  

2001 ◽  
Vol 35 (3) ◽  
pp. 256-261 ◽  
Author(s):  
Marcelo Zubaran Goldani ◽  
Marco Antonio Barbieri ◽  
Heloisa Bettiol ◽  
Marisa Ramos Barbieri ◽  
Andrew Tomkins

OBJECTIVE: Data from municipal databases can be used to plan interventions aimed at reducing inequities in health care. The objective of the study was to determine the distribution of infant mortality according to an urban geoeconomic classification using routinely collected municipal data. METHODS: All live births (total of 42,381) and infant deaths (total of 731) that occurred between 1994 and 1998 in Ribeirão Preto, Brazil, were considered. Four different geoeconomic areas were defined according to the family head's income in each administrative urban zone. RESULTS: The trends for infant mortality rate and its different components, neonatal mortality rate and post-neonatal mortality rate, decreased in Ribeirão Preto from 1994 to 1998 (chi-square for trend, p<0.05). These rates were inversely correlated with the distribution of lower salaries in the geoeconomic areas (less than 5 minimum wages per family head), in particular the post-neonatal mortality rate (chi-square for trend, p<0.05). Finally, the poor area showed a steady increase in excess infant mortality. CONCLUSIONS: The results indicate that infant mortality rates are associated with social inequality and can be monitored using municipal databases. The findings also suggest an increase in the impact of social inequality on infant health in Ribeirão Preto, especially in the poor area. The monitoring of health inequalities using municipal databases may be an increasingly more useful tool given the continuous decentralization of health management at the municipal level in Brazil.


1998 ◽  
Vol 28 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Sheryl Thorburn Bird ◽  
Karl E. Bauman

Reducing infant mortality in the United States is a national priority. States' infant mortality rates vary substantially. Public health researchers, practitioners, and leaders have long argued that social and other structural factors must be addressed if health outcomes are to be improved. A knowledge of which structural variables are most strongly related to state-level infant mortality is needed to guide the development of policies and programs to reduce this mortality. The authors examine the importance of several structural (social, economic, and political) variables for state-level infant, neonatal, and postneonatal mortality. With the state as the unit of analysis, data for all 50 states were analyzed using multiple regression. Together, the structural variables accounted for two-thirds of the variance in infant and neonatal mortality rates and over half of the variance in postneonatal mortality rates. States with proportionately larger black populations had higher infant, neonatal, and postneonatal mortality rates. States with greater percentages of high school graduates had lower neonatal mortality rates but higher postneonatal mortality rates. The findings suggest that a better understanding of the relationship between states' social structure and infant health outcomes is needed if state-level infant mortality is to be reduced.


2013 ◽  
Vol 86 ◽  
pp. 9-16 ◽  
Author(s):  
Knut Fylkesnes ◽  
Ingvild Fossgard Sandøy ◽  
Marte Jürgensen ◽  
Peter J. Chipimo ◽  
Sheila Mwangala ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kaajal Patel ◽  
Sopheakneary Say ◽  
Daly Leng ◽  
Manila Prak ◽  
Koung Lo ◽  
...  

Abstract Background Neonatal mortality remains unacceptably high. Many studies successful at reducing neonatal mortality have failed to realise similar gains at scale. Effective implementation and scale-up of interventions designed to tackle neonatal mortality is a global health priority. Multifaceted programmes targeting the continuum of neonatal care, with sustainability and scalability built into the design, can provide practical insights to solve this challenge. Cambodia has amongst the highest neonatal mortality rates in South-East Asia, with rural areas particularly affected. The primary objective of this study is the design, implementation, and assessment of the Saving Babies’ Lives programme, a package of interventions designed to reduce neonatal mortality in rural Cambodia. Methods This study is a five-year stepped-wedge cluster-randomised trial conducted in a rural Cambodian province with an estimated annual delivery rate of 6615. The study is designed to implement and evaluate the Saving Babies’ Lives programme, which is the intervention. The Saving Babies’ Lives programme is an iterative package of neonatal interventions spanning the continuum of care and integrating into the existing health system. The Saving Babies’ Lives programme comprises two major components: participatory learning and action with community health workers, and capacity building of primary care facilities involving facility-based mentorship. Standard government service continues in control arms. Data collection covering the whole study area includes surveillance of all pregnancies, verbal and social autopsies, and quality of care surveys. Mixed methods data collection supports iteration of the complex intervention, and facilitates impact, outcome, process and economic evaluation. Discussion Our study uses a robust study design to evaluate and develop a holistic, innovative, contextually relevant and sustainable programme that can be scaled-up to reduce neonatal mortality. Trial registration ClinicalTrials.gov: NCT04663620. Registered on 11th December 2020, retrospectively registered.


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