Does Sociological background influence the choice of Availing of Maternity Care facilities? A study on North-Eastern region of India using hybrid models of Multi-Criteria Decision Analysis

Q2 Social Sciences
Debasis Neogi
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引用次数: 0

Abstract

Background: The north-eastern part of India, dominated by a population belonging to various tribal communities, possesses diverse socioeconomic characteristics. The variation across communities in terms of availing maternity care is linked to socioeconomic traits. Objective: To conduct a comparative performance appraisal of all 16 regions in North-East India regarding the availing of maternity care and explore the linkage between each state’s socioeconomic characteristics and its relative success in delivering maternity care. Methods: The study is based on the data from India’s National Family Health Survey (NFHS – 4). We considered a total of 16 geographical areas, 11 criteria of maternity care, and 17 socioeconomic characteristics. We utilized hybrid models of AHP-TOPSIS and Entropy-TOPSIS for the ordinal evaluation of the regions concerning the delivery of maternity care and socioeconomic attainments. Finally, we analysed the associations between the two. Results: The ordinal evaluations rank all 16 regions regarding socioeconomic attainments and the delivery of maternity care. The study finds that Manipur, as a state, excels in delivering maternity care, while Meghalaya is the poorest performer. Female literacy, female educational attainment, male literacy, and female fertility are critical factors significantly impacting women’s availing of maternity care.
社会学背景是否影响产妇护理设施的选择?基于多准则决策分析混合模型的印度东北部地区研究
背景:印度东北部以各部落社区人口为主,具有多种社会经济特征。各社区在利用产妇保健方面的差异与社会经济特征有关。目的:对印度东北部所有16个地区的产妇保健利用情况进行比较绩效评估,并探讨每个州的社会经济特征与其在提供产妇保健方面的相对成功之间的联系。方法:该研究基于印度国家家庭健康调查(NFHS - 4)的数据。我们考虑了总共16个地理区域、11个产妇保健标准和17个社会经济特征。我们利用AHP-TOPSIS和熵- topsis的混合模型对有关产妇保健和社会经济成就的地区进行了有序评价。最后,我们分析了两者之间的关联。结果:对所有16个地区的社会经济成就和产妇保健服务进行了顺序评价。研究发现,作为一个邦,曼尼普尔邦在提供产妇护理方面表现出色,而梅加拉亚邦表现最差。女性识字率、女性受教育程度、男性识字率和女性生育率是显著影响妇女获得产妇护理的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Naselenie i ekonomika
Naselenie i ekonomika Social Sciences-Gender Studies
CiteScore
2.10
自引率
0.00%
发文量
19
审稿时长
12 weeks
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