Geospatial analysis of utilization of maternal health care services in india

GeoJournal ◽  
2021 ◽  
Author(s):  
Navtez Singh ◽  
Ratna Patel ◽  
Shekhar Chauhan
Author(s):  
Shinjini Ray ◽  
Pravat Bhandari ◽  
Jang Bahadur Prasad

Background: Maternal health was one of the most important millennium development goals (MDGs), India didn’t achieve by the year 2015. Since, India is a multicultural, social and multiregional country, where some of the regions have good social and demographic achievement while some are poor. Haryana is one of them, which has 146 maternal mortality ratio. The level of receiving antenatal care (ANC) in Haryana is quite low as compared to other states of India. Objective of present study was to Understand the extent of use of maternal health care services in Haryana as well as examining the role of antenatal care and other socio-economic factors on the utilization of maternal health services.Methods: Bivariate analysis, chi-square test, and binary logistic regression have been used based on district level household and facility survey-4 data.Results: The utilization of ANC (any and full), institutional delivery and post-delivery treatment seeking varies among women by literacy, age at first marriage, age at women and place of residence. Literate women are two times more likely to access ANC [odds ratio (OR)=1.97 (any ANC), 1.95 (full ANC), p<0.01] and 1.52 times more likely to prefer institutional delivery [OR=1.52, p<0.01].Conclusions: Empowering women through the encouragement of mother’s education should be one of the most fundamental strategies to promote maternal health care services and reduce inequalities.


2017 ◽  
Vol 50 (6) ◽  
pp. 749-769 ◽  
Author(s):  
Srinivas Goli ◽  
Dipty Nawal ◽  
Anu Rammohan ◽  
T. V. Sekher ◽  
Deepshikha Singh

SummaryThe gap in access to maternal health care services is a challenge of an unequal world. In 2015, each day about 830 women died due to complications of pregnancy and childbirth. Almost all of these deaths occurred in low-resource settings, and most could have been prevented. This study quantified the contributions of the socioeconomic determinants of inequality to the utilization of maternal health care services in four countries in diverse geographical and cultural settings: Bangladesh, Ethiopia, Nepal and Zimbabwe. Data from the 2010–11 Demographic and Health Surveys of the four countries were used, and methods developed by Wagstaff and colleagues for decomposing socioeconomic inequalities in health were applied. The results showed that although the Concentration Index (CI) was negative for the selected indicators, meaning maternal health care was poorer among lower socioeconomic status groups, the level of CI varied across the different countries for the same outcome indicator: CI of −0.1147, −0.1146, −0.2859 and −0.0638 for <3 antenatal care visits; CI of −0.1338, −0.0925, −0.1960 and −0.2531 for non-institutional delivery; and CI of −0.1153, −0.0370, −0.1817 and −0.0577 for no postnatal care within 2 days of delivery for Bangladesh, Ethiopia, Nepal and Zimbabwe, respectively. The marginal effects suggested that the strength of the association between the outcome and explanatory factors varied across the different countries. Decomposition estimates revealed that the key contributing factors for socioeconomic inequalities in maternal health care varied across the selected countries. The findings are significant for a global understanding of the various determinants of maternal health care use in high-maternal-mortality settings in different geographical and socio-cultural contexts.


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