Maternal Health Care (MHC) is very essential for improvement in the health status of the mother and children. The present study attempts to show the role of mass media on the utilization of MHC services in India. The entire study depends on secondary data collected from the National Family Health Survey (NFHS-4, 2015-16). Initially, the data has been analyzed by some descriptive statistics and for the proper depiction of the result, binary logistic regression has been conducted. The unadjusted odds ratio (UOR) has shown media exposure positively and significantly associated with the utilization of the majority of MHC services. The adjusted odds ratio has a less effective association with the MHC services compare to the unadjusted odds ratio. Other controlling variables including maternal age, age at marriage, birth order, education, caste, religion, wealth index, place of residence, and the region has also affect the health care services.

The socioeconomic variables have a strong impact on the decision-making and physical movement of women, worldwide studies suggest the same. In this study, we have tried to know the various determinants of women’s autonomy. We have taken the data from the fourth round National Family Health Survey (NFHS) (2015-16), published by the International Institution on Population Sciences (IIPS). For the statistical analysis, we used basic descriptive statistics and cross-tabulation between the socioeconomic variables and autonomy responses. Later to predict the occurrence of various autonomy aspects, binary logistic regression has been used with various socioeconomic variables. After getting the results, it has come to know that women’s decision-making and freedom of movement-related autonomy are largely influenced by socioeconomic variables. Major findings stated that with increasing age of women, autonomy increases. Women who belong to the rural setup have a low level of autonomy. From a religious perspective, women from the Muslim community have lower autonomy. Apart from these women have higher education, employed and in rich households have a higher likelihood of autonomy. Based on the outcomes, it is clear to us that women’s autonomy is largely influenced by their socioeconomic condition.