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Background India has made substantial progress in improving child health in recent years. However, the country continues to account for a large number of vaccine preventable child deaths. We estimated wealth-related full immunization inequalities in India. We also calculated the degree to which predisposing, reinforcing, and enabling factors contribute to these inequalities. Methods We used data from the two rounds of a large nationally representative survey done in all states in India in 2005–06 (n = 9582) and 2015–16 (n = 49,284). Full immunization status was defined as three doses of diphtheria-tetanus-pertussis vaccine, three doses of polio vaccine, one dose of Bacillus Calmette–Guérin vaccine, and one dose of measles vaccine in children 12–23 months. We compared full immunization coverage by wealth quintiles using descriptive statistics. We calculated concentration indices for full immunization coverage at the national and state levels. Using predisposing, reinforcing, and enabling factors associated with full immunization status identified from the literature, we applied a generalized linear model (GLM) framework with a binomial distribution and an identity link to decompose the concentration index. Results National full immunization coverage increased from 43.65% in 2005–06 to 62.46% in 2015–16. Overall, full immunization coverage in both 2005–06 and 2015–16 in all states was lowest in children from poorer households and improved with increasing socioeconomic status. The national concentration index decreased from 0.36 to 0.13 between the two study periods, indicating a reduction in poor-rich inequality. Similar reductions were observed for most states, except in states where inequalities were already minimal (i.e., Tamil Nadu) and in some northeastern states (i.e., Meghalaya and Manipur). In 2005–06, the contributors to wealth-related full immunization inequality were antenatal care, maternal education, and socioeconomic status. The same factors contributed to full immunization inequality in 2015–16 in addition to difficulty reaching a health facility. Conclusions Immunization coverage and wealth-related equality have improved nationally and in most states over the last decade in India. Targeted, context-specific interventions could help address overall wealth-related full immunization inequalities. Intensified government efforts could help in this regard, particularly in high-focus states where child mortality remains high.

Introduction Few studies have described the drivers of vaccine hesitancy and acceptance in India from the perspective of those involved in the design and implementation of vaccine campaigns–such as government officials and civil society stakeholders–a prerequisite to developing approaches to address this barrier to high immunization coverage and further child health improvements. Methods We conducted a qualitative study to understand government officials and civil society stakeholders’ perceptions of the drivers of vaccine hesitancy in India. We conducted in-depth phone interviews using a structured guide of open-ended questions with 21 participants from international and national non-governmental organizations, professional associations, and universities, and state and national government–six national-level stakeholders in New Delhi, six state-level stakeholders in Uttar Pradesh, six in Kerala, and three in Gujarat–from July 2020 to October 2020. We analyzed data through a multi-stage process following Grounded Theory. We present findings on individual-level, contextual, and vaccine/vaccination program-specific factors influencing vaccine hesitancy. Results We identified multiple drivers and complex ways they influence vaccine beliefs, attitudes, and behaviors from the perspective of government officials and civil society stakeholders involved in vaccine campaigns. Important individual-level influences were low awareness of the benefits of vaccination, safety concerns, especially related to mild adverse events following immunization, and mistrust in government and health service quality. Contextual-level factors included communications, the media environment, and social media, which serves as a major conduit of misinformation and driver of hesitancy, as well as sociodemographic factors–specific drivers varied widely by income, education, urban/rural setting, and across religious and cultural groups. Among vaccine/vaccination-level issues, vaccine program design and delivery and the role of health care professionals emerged as the strongest determinants of hesitancy. Conclusions Drivers of vaccine hesitancy in India, as elsewhere, vary widely by local context; successful interventions should address individual, contextual, and vaccine-specific factors. While previous studies focused on individual-level factors, our study demonstrates the equal importance of contextual and vaccine-specific influences, especially the communication and media environment, influential leaders, sociodemographic factors, and frontline health workers.

Highlights Immunization inequities persist in India despite substantial gains. Sociodemographic characteristics contribute to non-immunization or under-immunization. Tailored interventions can improve immunization coverage for those at high risk.