Background Studies have often ignored examining the role of community- and district-level factors in the utilization of maternity healthcare services, particularly in Indian contexts. The Social Determinants of Health framework emphasizes the role of governance and government policies, the measures for which are rarely incorporated in single-level individual analysis. This study examines factors associated with maternal healthcare utilization in nine high focus states in India, which shares more than half of the total maternal deaths in the country; accounting for individual-, household-, community- and district-level characteristics. Methods The required data are extracted from the third round of the nationally representative District Level Household and Facility Survey conducted during 2007–08. Multilevel analyses were applied to three maternity outcomes, namely, four or more antenatal care visits, skilled birth attendance and post-natal care after birth. Findings Results show that along with individual-/household-level factors, community and district-level factors influence the pattern of utilization of maternal healthcare services significantly. At the community level, the odds of maternal healthcare utilization were lower in rural areas and in communities with a high concentration of poor and illiterate women. Moreover, the average population coverage of primary health centres (PHCs), availability of labour room in PHC and percentage of registered pregnancies were significant factors at the district level that influenced the use of maternity care services. The study also found a strong association between the extent of previous use of maternal healthcare and its effect on subsequent usage patterns. Conclusion This study highlights the role of strengthening public health infrastructure at district level in the study area, and promoting awareness about available healthcare services and subsidized schemes in the community. To reach out to rural and underprivileged communities and to apply a participatory approach from the programme officials are issues to delve into.

This paper examines if, when controlling for biophysical and geographical variables (including rainfall, productivity of agricultural lands, topography/temperature, and market access through road networks), socioeconomic and health care indicators help to explain variations in the under-five mortality rate across districts from nine high focus states in India. The literature on this subject is inconclusive because the survey data, upon which most studies of child mortality rely, rarely include variables that measure these factors. This paper introduces these variables into an analysis of 284 districts from nine high focus states in India. Information on the mortality indicator was accessed from the recently conducted Annual Health Survey of 2011 and other socioeconomic and geographic variables from Census 2011, District Level Household and Facility Survey (2007–08), Department of Economics and Statistics Divisions of the concerned states. Displaying high spatial dependence (spatial autocorrelation) in the mortality indicator (outcome variable) and its possible predictors used in the analysis, the paper uses the Spatial-Error Model in an effort to negate or reduce the spatial dependence in model parameters. The results evince that the coverage gap index (a mixed indicator of district wise coverage of reproductive and child health services), female literacy, urbanization, economic status, the number of newborn care provided in Primary Health Centers in the district transpired as significant correlates of under-five mortality in the nine high focus states in India. The study identifies three clusters with high under-five mortality rate including 30 districts, and advocates urgent attention. Even after controlling the possible biophysical and geographical variables, the study reveals that the health program initiatives have a major role to play in reducing under-five mortality rate in the high focus states in India.

Increasing the coverage of key maternal, newborn and child health interventions is essential, if India has to attain Millennium Development Goals 4 and 5. This study assesses the coverage gap in maternal and child health services across states in India during 1992–2006 emphasizing the rural–urban disparities. Additionally, association between the coverage gap and under-5 mortality rate across states are illustrated. The three waves of National Family Health Survey (NFHS) conducted during 1992–1993 (NFHS-1), 1998–1999 (NFHS-2) and 2005–2006 (NFHS-3) were used to construct a composite index of coverage gap in four areas of health-care interventions: family planning, maternal and newborn care, immunization and treatment of sick children. The central, eastern and northeastern regions of India reported a higher coverage gap in maternal and child health care services during 1992–2006, while the rural–urban difference in the coverage gap has increased in Gujarat, Haryana, Rajasthan and Kerala over the period. The analysis also shows a significant positive relationship between the coverage gap index and under-five mortality rate across states. Region or area-specific focus in order to increase the coverage of maternal and child health care services in India should be the priority of the policy-makers and programme executors.

This study hypothesises that the presence of a third person during the interaction between the survey investigator and the woman respondent leads to underreporting of smokeless tobacco (SLT) use by Indian women, including pregnant and breastfeeding women. Cross-sectional data from the National Family Health Survey conducted in 2015–16 was analysed for SLT use among women aged 15–49. Multivariate logistic regression examined the odds of SLT use reporting by women respondents in the presence of their husbands and other male or female adults. SLT use reporting by women significantly varied by the presence of someone during the interview. The analysis shows that the odds of reporting SLT use among women who were neither pregnant nor lactating was 20.6% lower when they were interviewed in the presence of their husbands than when they were interviewed alone. Similarly, compared to those interviewed alone, the odds of women reporting SLT use was 16.5% lower among pregnant and breastfeeding women interviewed in the presence of any adult female. The odds of women under-reporting SLT use were higher in Central and Western India. This study argues that the current survey estimates misconstrue the authentic prevalence of tobacco use among women in India, including pregnant and lactating women. Due to social desirability or the presence of a third person during the survey interview, those respondents who do not report their tobacco use status are also more likely to forego essential support for successful tobacco cessation. Survey methodology must be strengthened to avert the presence of a third person during the interview to ensure better reporting and population health estimates.