Faculty of Public Health - Andalas University - OCS, 13th IEA SEA Meeting and ICPH - SDev

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Factors associated with utilization of maternal health care services in India
Alok Kumar, Krishna Pandey

Last modified: 2018-08-07


Background: Worldwide, high quality health facility delivery services have been recommended as a solution to reduction in maternal and infant mortality. Utilization of maternal health care services is a complex behavioural phenomenon.  The focus of this study is to identify the factors that discriminate between the women who utilizing or non-utilizing health care services.

Material and Methods: This comparative study examines secondary data from fourth round of National Family Health Survey (NFHS-IV) conducted in 2015-16 in India. The big states  (constitute approx. 90 % of total population) in India are categorised on the basis of level of infant mortality rate in three groups i.e. high, middle and low infant mortality rate states. Discriminant analysis were used to identify the variables maximally discriminate between the women who utilizing or non-utilizing the health care services.

Results: Result shows that the wealth index (r= 0.710), parity (r= -0.561) and perception about ideal number of children (r= -0.508) in high IMR states; insurance coverage (r=0.528) and distance to health facility (r= -0.578) apart from wealth index and parity in middle and low IMR states strongly discriminate the women group who had 3 and above ANC visits and those who had less than 3 ANC visit. Also, the wealth index(r= 0.781) and parity (r= - 0.657) were found to be strong discriminators between the institutional and home delivery for high IMR states.

Conclusions: Overall, it has been noted in the study that women belong to low economic status and high parity were less utilising the maternal health care services, especially, in high IMR states. The maternal health care services should be more accessible and affordable to further bring down the IMR and MMR in India.

Keywords: Health care services, Antenatal care visits, Place of delivery, Discriminant analysis.