Shrivastwa Nijika, Gillespie Brenda W, Kolenic Giselle E, Lepkowski James M, Boulton Matthew L
Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan.
Am J Prev Med. 2015 Dec;49(6 Suppl 4):S435-44. doi: 10.1016/j.amepre.2015.05.008. Epub 2015 Aug 18.
India has one of the lowest immunization rates worldwide despite a longstanding Universal Immunization Program (UIP) that provides free childhood vaccines. This study characterizes the predictors for under- and non-vaccination among Indian children aged 12-36 months.
This study utilized District Level Household and Facility Survey Data, 2008 (DLHS3), from India. DLHS3 is a nationally representative sample collected from December 2007 through December 2008; this analysis was conducted during 2014. Children's vaccination status was categorized as fully, under-, and non-vaccinated based on whether children received all, some, or none of the UIP-recommended vaccines (one dose each of bacillus Calmette-Guérin and measles, and three doses of diphtheria-pertussis-tetanus). A multinomial logistic regression model estimated the odds of under-vaccination compared with full vaccination, and odds of non-vaccination compared with full vaccination. Analytic predictors included socioeconomic, cultural, household, maternal, and childhood characteristics.
The analysis included 108,057 children; the estimated proportions of fully, under-, and non-vaccinated children were 57%, 31%, and 12%, respectively. After adjusting for state of residence, age, gender, household wealth, and maternal education, additional significant predictors of children's vaccination status were religion, caste, place of delivery, number of antenatal care visits, and maternal tetanus vaccination, all of which demonstrated large effect sizes.
India's immunization coverage remained low in 2008, with just slightly more than half of all children aged 12-36 months fully vaccinated with UIP-recommended vaccines. A better understanding of the predictors for vaccination can help shape interventions to reduce disparities in full vaccination among children of differing demographic/cultural groups.
尽管印度长期实施提供免费儿童疫苗的全国免疫规划(UIP),但其免疫接种率却是全球最低的国家之一。本研究对印度12至36个月大儿童未充分接种疫苗和未接种疫苗的预测因素进行了特征分析。
本研究使用了来自印度的2008年地区级家庭与设施调查数据(DLHS3)。DLHS3是2007年12月至2008年12月期间收集的具有全国代表性的样本;本分析于2014年进行。根据儿童是否接种了所有、部分或未接种UIP推荐的疫苗(卡介苗和麻疹疫苗各一剂,白喉-百日咳-破伤风疫苗三剂),将儿童的疫苗接种状况分为完全接种、未充分接种和未接种。一个多项逻辑回归模型估计了未充分接种与完全接种相比的几率,以及未接种与完全接种相比的几率。分析预测因素包括社会经济、文化、家庭、母亲和儿童特征。
该分析纳入了108,057名儿童;完全接种、未充分接种和未接种儿童的估计比例分别为57%、31%和12%。在对居住州、年龄、性别、家庭财富和母亲教育程度进行调整后,儿童疫苗接种状况的其他重要预测因素包括宗教、种姓、分娩地点、产前检查次数和母亲破伤风疫苗接种情况,所有这些因素均显示出较大的效应量。
2008年印度的免疫接种覆盖率仍然很低,12至36个月大的儿童中只有略超过一半的儿童完全接种了UIP推荐的疫苗。更好地了解疫苗接种的预测因素有助于制定干预措施,以减少不同人口/文化群体儿童在完全接种疫苗方面的差距。