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Why immunization coverage fails to catch up in India? A community-based analysis.

机译:为什么免疫覆盖率在印度无法赶上?基于社区的分析。

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BACKGROUND: An effort has been made in this paper to examine the impact of community and household vis-a-vis individual-level variables on immunization coverage among Indian children. METHODS: National Family Health Survey-2 data set has been used for the analysis. Multilevel regression analyses have been used to explore the relative effects of community-, household- and individual-level factors on immunization coverage. Three community-level variables, i.e. availability of health facilities, availability of all-weather roads and information, education and communication (IEC) activities conducted during last year, are included in this analysis. RESULTS: Availability of health facility and information, education and communication activities plays a significant role in determining the level of immunization coverage among children. Even with community-level variables in the model, individual-level variables, i.e. parent's education, birth order of child and number of antenatal care visits, retain their predictive role for the potential immunization coverage. CONCLUSIONS: Universal immunization can be achieved by providing services at community level and information about the available services and their benefits to the community. There is a considerable, unexplained variation in the immunization coverage between different communities, even in the most complex model used in this study, which could explain the entire heterogeneity of immunization coverage among Indian states.
机译:背景:本文已作出努力,以检验社区和家庭相对于个人水平变量对印度儿童免疫覆盖率的影响。方法:国家家庭健康调查2数据集已用于分析。多级回归分析已用于探索社区,家庭和个人因素对免疫覆盖率的相对影响。此分析包括三个社区级别的变量,即去年是否进行了卫生保健设施的可用性,全天候道路的可用性以及信息,教育和通讯(IEC)活动。结果:卫生机构的可用性以及信息,教育和交流活动在确定儿童的免疫覆盖水平方面起着重要作用。即使在模型中具有社区级别的变量,个人级别的变量(即,父母的受教育程度,孩子的出生顺序和产前检查的次数)仍对潜在的免疫覆盖率具有预测作用。结论:可以通过在社区一级提供服务以及有关可用服务及其对社区的好处的信息来实现全民免疫。即使在本研究中使用的最复杂的模型中,不同社区之间的免疫覆盖率也存在相当大的无法解释的差异,这可以解释印度各州免疫覆盖率的整体异质性。

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