Dataset Information

Gender differences in infant survival: a secondary data analysis in rural North India.

ABSTRACT: To examine gender differences in infant survival on the first day of life, in the first week of life, and in the neonatal and post-neonatal periods by socio-demographic and economic variables.Secondary data analysis was performed on data from a cluster randomised trial on the effect of implementation of the Integrated Management of Neonatal and Childhood Illness programme, India.The study setting was Palwal and Faridabad, districts of Haryana, a state in North India.Multiple logistic regression models taking the cluster design into account were used to estimate gender differences in mortality in different periods of infancy.A total of 60?480 infants were included in these analyses. Of 4060 infant deaths, 2054 were female (7.2% of all females born) and 2006 were male (6.3% of all males born). The death rate was significantly higher in females in the post-neonatal period but not during the neonatal period. The odds of death at 29-180 days and at 181-365 days were 1.4 (95% CI 1.3 to 1.6) and 1.7 (95% CI: 1.4 to 2.0) higher in females compared with males, respectively. This increase was seen across all socio-demographic and economic strata.Gender differences during the post-neonatal period are a major threat to the survival and health of female infants in India. Programmes need to identify measures that can specifically reduce female mortality.Clinical trials NCT00474981.

SUBMITTER: Chowdhury R

PROVIDER: S-EPMC5724117 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Gender differences in infant survival: a secondary data analysis in rural North India.

Chowdhury Ranadip R Taneja Sunita S Mazumder Sarmila S Bhandari Nita N Strand Tor A TA

BMJ open 20170811 8

<h4>Objective</h4>To examine gender differences in infant survival on the first day of life, in the first week of life, and in the neonatal and post-neonatal periods by socio-demographic and economic variables.<h4>Design</h4>Secondary data analysis was performed on data from a cluster randomised trial on the effect of implementation of the Integrated Management of Neonatal and Childhood Illness programme, India.<h4>Settings</h4>The study setting was Palwal and Faridabad, districts of Haryana, a ...[more]

PMID: 28801386

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Project description:BackgroundLow birth weight (LBW) infants constitute a vulnerable subset of infants with impaired immunity in early life. In India, there is scarcity of studies that focus on immunization practices in such infants. This analysis aimed to examine immunization practices in LBW infants with the intention to identify areas requiring intervention.MethodsData on immunization status of LBW infants enrolled in an individually randomized, double-masked, placebo-controlled trial of neonatal vitamin A supplementation were analysed. Study outcomes were full immunization by one year of age and delayed vaccination with DPT1 and DPT3. Multivariable logistic regression was performed to identify factors associated with the outcome(s).FindingsOut of 10 644 LBW infants enrolled in trial, immunization data were available for 10 517 (98.8%). Less than one-third (29.7%) were fully immunized by one year of age. Lowest wealth quintile (adjusted odds ratio (AOR) 0.39, 95% confidence interval (CI) 0.32-0.47), Muslim religion (AOR 0.41, 95% CI 0.35-0.48) and age of mother <20 years (AOR 0.62, 95% CI 0.52-0.73) were associated with decreased odds of full immunization. Proportion of infants with delayed vaccination for DPT1 and DPT3 were 52% and 81% respectively. Lowest wealth quintiles (AOR 1.51, 95% CI 1.25-1.82), Muslim religion (AOR 1.41, 95% CI 1.21-1.65), mother aged <20 years (AOR 1.31, 95% CI 1.11-1.53) and birth weight <2000 g (AOR 1.20, 95% CI 1.03-1.40) were associated with higher odds of delayed vaccination for DPT-1. Maternal education (≥12 years of schooling) was associated with high odds of full immunization (AOR 2.39, 95% CI 1.97-2.91) and low odds of delayed vaccination for both DPT-1 (AOR 0.59, 95% CI 0.49-0.73) and DPT-3 (AOR 0.57, 95% CI 0.43-0.76).ConclusionIn this population, LBW infants are at a risk of delayed and incomplete immunization and therefore need attention. The risks are even higher in identified subgroups that should specifically be targeted.

Project description:BackgroundThe mixed-gender community health worker (CHW) program in Mozambique is a window into the different experiences that male and female CHWs may face in their work. The objective of this study is to investigate how gender influenced the experiences of community health workers using the PIERS on the Move (POM) mHealth app in Mozambique.MethodsThis is a secondary analysis by gender of health care workers involved in the Mozambique Community Level Intervention for Pre-eclampsia (CLIP) cluster randomized trial (NCT01911494). A structured survey with 10 open-ended questions was used to elicit CHW experiences using the POM app. Data collection took place in 2017 after completion of the CLIP trial. This analysis examined emergent themes to consider how experiences may have been shaped by health worker gender.ResultsOf the 43 CHWs who used the POM app, there were 31 (72%) women and 12 (28%) men. Gender differences emerged in descriptions of how using POM increased their value and respect by pregnant women and community members. Fifty-eight percent of female CHWs (18/31) said that POM positively influenced their status in the community in comparison to 33% of their male counterparts (4/12). While the small sample sizes, particularly of male CHWs who used POM, preclude conclusions, these findings were supported by qualitative results. Female CHWs tended to elaborate more about community perceptions of their increased value and status as health care providers than male CHWs.ConclusionCHWs work within existing gender norms. While gender norms are perceived to support the comfort of women to speak to another woman about their maternal and child health issues, gender norms also work against female CHWs as their professionalism may be questioned more than for their male counterparts. CHW's narratives suggested that the mHealth intervention was valued beyond the technology itself because it also added symbolic clinical value and demonstrated a tangible investment in their professional capacities, which may have been especially appreciated by the female CHWs.

Dataset Information

Gender differences in infant survival: a secondary data analysis in rural North India.

Publications

Gender differences in infant survival: a secondary data analysis in rural North India.

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