Reducing infant and child mortality: assessing the social inclusiveness of child health care policies and programmes in three states of India.

BACKGROUND: Even though the overall infant mortality rate and child mortality rate have considerably declined in India, the marginalised groups-Scheduled Caste, and Scheduled Tribe, continue to have higher mortality rates. This study looks at the changes in IMR and CMR amongst disadvantaged and advanced social groups at the national level and in three states of India. DATA AND METHODS: Data from five rounds of National Family Health Survey spanning nearly three decades have been used to measure IMR and CMR according to the social groups for India and for selected states-Bihar, West Bengal, and Tamil Nadu. The relative hazard curves were drawn to understand which social group's children face a higher risk of dying in the first year of birth and between first year and age four in those three states. Further, a log-rank test was applied to examine whether the differences between the survival curves or distributions of the three social groups are statistically significant. Finally, the binary logit regression model was applied to investigate the effect of ethnicity, and other socio-economic and demographic covariates on the risk of infant and child deaths (1-4 years) in the country and in selected states. RESULTS: Hazard curve shows the probability of death within one year of birth was highest among the children belonging to the ST families, followed by SCs in India. And, the CMR was found to be higher amongst the STs compared to all other social groups as well at the national level. While Bihar had a remarkably high infant and child mortality rates, Tamil Nadu possessed the lowest child death rates irrespective of class, caste, and religion. The regression model revealed that most of the caste/tribe gaps in infant and child deaths might be attributed to the place of residence, mother's level of education, economic status, and the number of children in a family. Notably, the multivariate analysis showed that ethnicity was an independent risk factor, when controlled for socioeconomic status. CONCLUSION: The study detects the persistence of significant caste/tribe differentials in infant and child mortality in India. Poverty, education and health care access issues could be the possible reasons for the premature deaths of the children from deprived castes and tribes. There is a need to critically analyse the current health programmes aimed at reducing IMR and CMR to make them attuned to the needs of the marginalised communities.

Corrigendum: Social and regional disparities in utilization of maternal and child healthcare services in india: A study of the post-national health mission period.

[This corrects the article DOI: 10.3389/fped.2022.895033.].

Social and Regional Disparities in Utilization of Maternal and Child Healthcare Services in India: A Study of the Post-National Health Mission Period.

Background: India has enjoyed enhanced economic growth, but has fared poorly in human development indicators and health outcomes, over the last two decades. Significant health inequities and access to healthcare continue to exist and have widened within communities across states. This study examine the changes and disparities in maternal and child healthcare (MCH) among disadvantaged and advanced social groups in three states of India. Data and Methods: Four rounds of National Family Health Survey data were used to measure infant mortality rate (IMR) and under-five mortality rate (U5MR) according to the social groups for the selected states. This study investigates the socio-economic inequities manifested into caste and class differentials and inequities in availability, utilization, and affordability of maternal and healthcare services. Descriptive statistics and the logistic regression model were used. Individual- and household-level covariates were employed to understand the differentials in healthcare utilization. Results: The probability of not receiving full antenatal care (ANC) or full immunization for the children was highest among the Scheduled Caste/Scheduled Tribe (SC/ST) families, followed by economic class, mother's education and residence. Tamil Nadu showed the highest utilization of public health facilities, while Bihar was the poorest in terms of health outcomes and utilization of MCH care services even after the pre-National Health Mission (NHM) period. Bihar and West Bengal also showed private healthcare dependence. Conclusion: This study detected the presence of significant caste/tribe differentials in the utilization of MCH care services in the selected states of India. Limited accessibility and unavailability of complete healthcare were the foremost reasons for the under-utilization of these services, especially for people from disadvantaged social groups. The result also suggested that it is perilous to confirm "Health for All" immediately. It will be the efficiency with which India addresses inequities in providing healthcare services and guarantees quality care of health services.

Age heaping among individuals in selected South Asian countries: evidence from Demographic and Health Surveys.

Age misreporting is a common phenomenon in Demographic and Health Surveys, and there are numerous reasons for this. The trend and pattern of disparity in age heaping vary between countries. The present study assesses age heaping in the selected South Asian countries of Afghanistan, India, Nepal, Bangladesh and Pakistan using data from the most recent round of the Demographic and Health Survey. The respondent sample sizes were 203,703 for Afghanistan, 2,869,043 for India, 49,064 for Nepal, 81,618 for Bangladesh and 100,868 for Pakistan. Age heaping was assessed by respondent's age, education level, sex and level of education. Whipple's index was calculated to assess systematic heaping on certain ages as a result of digit preference. Bangladesh, Afghanistan and India showed stronger preference for ages ending with the digits '0' and '5' compared with Pakistan and Nepal among uneducated respondents. On the other hand, strong avoidance of ages ending in the digits '1', '4' and '9' was observed in Bangladesh, Afghanistan and India. However, urban-rural place of residence was not found to be associated with digit preference in the study countries. Among males, age misreporting with the final digits '0' and '5' was highest in Bangladesh, followed by Afghanistan and India, and Nepal showed the least displacement. Strong digit preference and avoidance, and upper age displacement, were witnessed in the surveys conducted in Bangladesh, Afghanistan and India on the parameters of sex and education level. Innovative methods of data collection with the measurement and minimization of errors using statistical techniques should be used to ensure accuracy of age data.