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Abstract


               Given the limited evidence on the effect of socio-cultural practices on a child’s birth size, the study aims to identify
               the sociocultural risk factors of smaller than average birth size in an ethnically homogenous tribal population in
               India. We used the data from the National Family Health Survey (NFHS)-4 conducted in India in 2015-16. We used
               Fearon’s (2003) index of Ethno-linguistic fractionalization (ELF) for dividing tribal populations into homogeneous
               and  heterogeneous  groups.  We  applied  a  multivariable  binary  logistic  regression  model  to  identify  the
               sociocultural risk factors. The prevalence of smaller than average birth size was 17% in an ethnically homogenous
               tribal population in India. The women being polygynous union were 1.60 (95% CI: 1.31-1.95), those having blood-
               related consanguineous marriage were 1.26 (95% CI: 1.07-1.48), and women using alcohol were 1.24 times (95%
               CI:  1.10-1.40)  as  likely  to  deliver  smaller  than  average  size  births  compared  to  their  counterparts.  The  study
               identifies polygynous union, consanguineous marriage, and maternal use of alcohol are significant sociocultural
               risk factors of smaller than average birth size in India. The significant reduction in the prevalence of smaller than
               average birth size can be achieved through the activities addressing sociocultural practices in tribal populations.


               1556 Gender Differential in Health Care Expenditure in India: Evidences from
               National Sample Surveys 2004 and 2014, 2017-18


               Sumedha Sumedha, Moradhvaj Moradhvaj

               Jawaharlal Nehru University, New Delhi, India

               Categories


               13. Others (Education, Wellbeing and Happiness etc.)

               Abstract


               Despite the presence of a vast literature on health-care expenditure (HCE) in low- and middle income countries,
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               there is limited evidence of gender disparity in HCE for in-patient care. Using three rounds (60  [2004] and 71
               [2014], 75  [2017-18]) of the National Sample Survey Data, we examines gender disparity in average HCE and the
                        th
               effect of socioeconomic and healthcare factors on gender disparity in HCE. Oaxaca-Blinder decomposition used to
               understand the contribution of these factors on gender gap in HCE. Results shows average HCE is higher for male’s
               compared  to  female’s  in  2004  (male=11045  INR,  Female=9701),  2014  (male=12815,  female=9346) 2014
               (male=13798, female=10325) and 2017-18 , the gender gap is increasing from 2004 to 2017-18.  Patients who used
               private health facility show higher disparity compared to public health service users. Non-communicable disease
               shows higher disparity because of more expensive/higher cost of treatment compared to communicable disease.
               Decomposition  results  suggest  that  about  84%  gender  difference  explains  through  the  Endowment  factors.
               Education, type of disease, level of care and duration of stay are widening male-female gap. To improve Women’s
               health status need to economically empower by improving education and changes in gender attitude.


               220 Investigating Determinants of Public and Private Health Spending on Maternal
               Health Care Services in India


               Monirujjaman BISWAS

               Jawaharlal Nehru University, New Delhi, India





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