75 research outputs found
Accelerating Malnutrition Reduction in Orissa
Orissa has performed better than the Indian average in terms of the rate of malnutrition reduction. This positive trend is supported by NFHS data, independent survey data and the State's own monitoring data. Despite this good news, absolute rates remain high with 40 per cent of children under five malnourished, rising to 54 per cent amongst the tribal population. Encouraging progress but recognition of a long way to go has triggered the Department of Women and Child Development to develop a new operational plan to accelerate the pace of malnutrition reduction. The Nutrition Plan is based on five principles, the key being targeting the most vulnerable in high burden districts. Review of national and international experience, analysis of the Department's data, plus primary data collection to fill information gaps, have created an evidence?based Plan which provides a challenging but realistic map for reaching an average annual malnutrition reduction of 3.5 percent
The puzzle of Muslim advantage in child survival in India.
The socio-economic status of Indian Muslims is, on average, considerably lower than that of upper caste Hindus. Muslims have higher fertility and shorter birth spacing and are a minority group that, it has been argued, have poorer access to public goods. They nevertheless exhibit substantially higher child survival rates, and have done for decades. This paper documents and analyses this seeming puzzle. The religion gap in survival is much larger than the gender gap but, in contrast to the gender gap, it has not received much political or academic attention. A decomposition of the survival differential reveals that some compositional effects favour Muslims but that, overall, differences in characteristics between the communities and especially the Muslim deficit in parental education predict a Hindu advantage. Alternative outcomes and specifications support our finding of a Muslim fixed effect that favours survival. The results of this study contribute to a recent literature that debates the importance of socioeconomic status (SES) in determining health and survival. They augment a growing literature on the role of religion or culture as encapsulating important unobservable behaviours or endowments that influence health, indeed, enough to reverse the SES gradient that is commonly observed
Woman-centered research on access to safe abortion services and implications for behavioral change communication interventions: a cross-sectional study of women in Bihar and Jharkhand, India
<p>Abstract</p> <p>Background</p> <p>Unsafe abortion in India leads to significant morbidity and mortality. Abortion has been legal in India since 1971, and the availability of safe abortion services has increased. However, service availability has not led to a significant reduction in unsafe abortion. This study aimed to understand the gap between safe abortion availability and use of services in Bihar and Jharkhand, India by examining accessibility from the perspective of rural, Indian women.</p> <p>Methods</p> <p>Two-stage stratified random sampling was used to identify and enroll 1411 married women of reproductive age in four rural districts in Bihar and Jharkhand, India. Data were collected on women's socio-demographic characteristics; exposure to mass media and other information sources; and abortion-related knowledge, perceptions and practices. Multiple linear regression models were used to explore the association between knowledge and perceptions about abortion.</p> <p>Results</p> <p>Most women were poor, had never attended school, and had limited exposure to mass media. Instead, they relied on community health workers, family and friends for health information. Women who had knowledge about abortion, such as knowing an abortion method, were more likely to perceive that services are available (β = 0.079; p < 0.05) and have positive attitudes toward abortion (β = 0.070; p < 0.05). In addition, women who reported exposure to abortion messages were more likely to have favorable attitudes toward abortion (β = 0.182; p < 0.05).</p> <p>Conclusions</p> <p>Behavior change communication (BCC) interventions, which address negative perceptions by improving community knowledge about abortion and support local availability of safe abortion services, are needed to increase enabling resources for women and improve potential access to services. Implementing BCC interventions is challenging in settings such as Bihar and Jharkhand where women may be difficult to reach directly, but interventions can target individuals in the community to transfer information to the women who need this information most. Interpersonal approaches that engage community leaders and influencers may also counteract negative social norms regarding abortion and associated stigma. Collaborative actions of government, NGOs and private partners should capitalize on this potential power of communities to reduce the impact of unsafe abortion on rural women.</p
Perceptions of antenatal iron-folic acid supplements in urban and rural Pakistan: a qualitative study
Impact of low fertility and early age at sterilisation on women’s formal education and skill development in South India
Biological, Programmatic and Sociopolitical Dimensions of Child Undernutrition in Three States in India
The recently developed India State Hunger Index 2008 highlights the continuing sorry state of hunger in India, and shows that children underweight makes the largest contribution to hunger index scores for most of India. In this article, we apply an assessment framework developed by the Mainstreaming Nutrition Initiative to understand three dimensions of child undernutrition in India: (1) the biological/epidemiological aspects of the nutrition situation, (2) the programmatic interventions and environment and (3) the sociopolitical environment for nutrition. We conduct this assessment for three states in India, each of which offers a distinct typology: (a) Bihar, an extremely poor northern state with high levels of undernutrition; (b) Karnataka, a southern state with high economic growth, but high child undernutrition rates; (c) Tamil Nadu, a southern state portrayed as an example of successful health and nutrition programming, but with rates of undernutrition that are still very high
Demographic, socio-economic, and cultural factors affecting fertility differentials in Nepal
<p>Abstract</p> <p>Background</p> <p>Traditionally Nepalese society favors high fertility. Children are a symbol of well-being both socially and economically. Although fertility has been decreasing in Nepal since 1981, it is still high compared to many other developing countries. This paper is an attempt to examine the demographic, socio-economic, and cultural factors for fertility differentials in Nepal.</p> <p>Methods</p> <p>This paper has used data from the Nepal Demographic and Health Survey (NDHS 2006). The analysis is confined to ever married women of reproductive age (8,644). Both bivariate and multivariate analyses have been performed to describe the fertility differentials. The bivariate analysis (one-way ANOVA) was applied to examine the association between children ever born and women's demographic, socio-economic, and cultural characteristics. Besides bivariate analysis, the net effect of each independent variable on the dependent variable after controlling for the effect of other predictors has also been measured through multivariate analysis (multiple linear regressions).</p> <p>Results</p> <p>The mean numbers of children ever born (CEB) among married Nepali women of reproductive age and among women aged 40-49 were three and five children, respectively. There are considerable differentials in the average number of children ever born according to women's demographic, socio-economic, and cultural settings. Regression analysis revealed that age at first marriage, perceived ideal number of children, place of residence, literacy status, religion, mass media exposure, use of family planning methods, household headship, and experience of child death were the most important variables that explained the variance in fertility. Women who considered a higher number of children as ideal (β = 0.03; p < 0.001), those who resided in rural areas (β = 0.02; p < 0.05), Muslim women (β = 0.07; p < 0.001), those who had ever used family planning methods (β = 0.08; p < 0.001), and those who had a child-death experience (β = 0.31; p < 0.001) were more likely to have a higher number of CEB compared to their counterparts. On the other hand, those who married at a later age (β = -0.15; p < 0.001), were literate (β = -0.05; p < 0.001), were exposed to both (radio/TV) mass media (β = -0.05; p < 0.001), were richest (β = -0.12; p < 0.001), and were from female-headed households (β = -0.02; p < 0.05) had a lower number of children ever born than their counterparts.</p> <p>Conclusion</p> <p>The average number of children ever born is high among women in Nepal. There are many contributing factors for the high fertility, among which are age at first marriage, perceived ideal number of children, literacy status, mass media exposure, wealth status, and child-death experience by mothers. All of these were strong predictors for CEB. It can be concluded that programs should aim to reduce fertility rates by focusing on these identified factors so that fertility as well as infant and maternal mortality and morbidity will be decreased and the overall well-being of the family maintained and enhanced.</p
A randomized controlled trial of hospital versus home based therapy with oral amoxicillin for severe pneumonia in children aged 3 – 59 months: The IndiaCLEN Severe Pneumonia Oral Therapy (ISPOT) Study
A population-based study of human immunodeficiency virus in south India reveals major differences from sentinel surveillance-based estimates
BACKGROUND: The human immunodeficiency virus (HIV) burden among adults in India is estimated officially by direct extrapolation of annual sentinel surveillance data from public-sector antenatal and sexually transmitted infection (STI) clinics and some high-risk groups. The validity of these extrapolations has not been systematically examined with a large sample population-based study. METHODS: We sampled 13838 people, 15–49 years old, from 66 rural and urban clusters using a stratified random method to represent adults in Guntur district in the south Indian state of Andhra Pradesh. We interviewed the sampled participants and obtained dried blood spots from them, and tested blood for HIV antibody, antigen and nucleic acid. We calculated the number of people with HIV in Guntur district based on these data, compared it with the estimate using the sentinel surveillance data and method, and analysed health services use data to understand the differences. RESULTS: In total, 12617 people (91.2% of the sampled group) gave a blood sample. Adjusted HIV prevalence was 1.72% (95% confidence interval 1.35–2.09%); men 1.74% (1.27–2.21%), women 1.70% (1.36–2.04%); rural 1.64% (1.10–2.18%), urban 1.89% (1.39–2.39%). HIV prevalence was 2.58% and 1.20% in people in the lower and upper halves of a standard of living index (SLI). Of women who had become pregnant during the past 2 years, 21.1% had used antenatal care in large public-sector hospitals participating in sentinel surveillance. There was an over-representation of the lowest SLI quartile (44.7%) in this group, and 3.61% HIV prevalence versus 1.08% in the remaining pregnant women. HIV prevalence was higher in that group even when women were matched for the same SLI half (lower half 4.39%, upper 2.63%) than in the latter (lower 1.06%, upper 1.05%), due to referral of HIV-positive/suspected women by private practitioners to public hospitals. The sentinel surveillance method (HIV prevalence: antenatal clinic 3%, STI clinic 22.8%, female sex workers 12.8%) led to an estimate of 112635 (4.38%) people with HIV, 15–49 years old, in Guntur district, which was 2.5 times the 45942 (1.79%) estimate based on our population-based study. CONCLUSION: The official method in India leads to a gross overestimation of the HIV burden in this district due to addition of substantial extra HIV estimates from STI clinics, the common practice of referral of HIV-positive/suspected people to public hospitals, and a preferential use of public hospitals by people in lower socioeconomic strata. India may be overestimating its HIV burden with the currently used official estimation method
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