Moradhvaj Dhakad
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Moradhvaj Dhakad has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Nandita Saikia
Department of Public Health and Mortality Studies, International Institute for Population Sciences (IIPS), Mumbai, India
2 shared publications - Srinivas Goli
Department of Fertility and Social Demography, International Institute for Population Sciences, Mumbai, India
2 shared publications - Anu Rammohan
Department of Economics, University of Western Australia, Perth, 6009, Australia
1 shared publication - Jalandhar Pradhan
Department of Humanities and Social Sciences, National Institute of Technology (NIT), Rourkela, India
1 shared publication - Tamal Reja
National Institute of Technology
1 shared publication
Latest Publications
- Open Access
- 15 September 2026
- Published by Max Planck Institute for Demographic Research in Demographic Research
- Vol. 55, 465-490
Social and economic inequalities in adult mortality in India
Volume 55 - Article 16 | Pages 465–490
- 15 September 2026
- Published by Max Planck Institute for Demographic Research in Demographic Research
- Vol. 55, 465-490
Open AccessSocial and economic inequalities in adult mortality in India
Volume 55 - Article 16 | Pages 465–490
- 1 April 2021
- Published by Elsevier in Public Health
- Vol. 193, 43-47
The unending burden of high out-of-pocket expenditure on institutional deliveries in India
- 1 April 2021
- Published by Elsevier in Public Health
- Vol. 193, 43-47
The unending burden of high out-of-pocket expenditure on institutional deliveries in India
- Open Access
- 1 December 2019
- Published by Elsevier in SSM - Population Health
- Vol. 9, 100372
Gender disparities in health care expenditures and financing strategies (HCFS) for inpatient care in India
- 1 December 2019
- Published by Elsevier in SSM - Population Health
- Vol. 9, 100372
Open AccessGender disparities in health care expenditures and financing strategies (HCFS) for inpatient care in India
- Open Access
- 27 February 2018
- Published by Springer Nature in Health Economics Review
- Vol. 8 (1) , 1-16
Out-of-pocket expenditure on maternity care for hospital births in Uttar Pradesh, India
The studies measured Out-of-Pocket Expenditure (OOPE) for hospital births previously suffer from serious data limitations. To overcome such limitations, we designed a hospital-based study for measuring the levels and factors of OOPE on maternity care for hospital births by its detailed components. Data were collected from women for non-complicated deliveries 24-h before the survey and complicated deliveries 48-h prior to the survey at the hospital settings in Uttar Pradesh, India during 2014. The simple random sampling design was used in the selection of respondents. Bivariate analyses were used to estimate mean expenditure on Antenatal care services (ANCs), Delivery care and Total Maternity Expenditure (TME). Multivariate linear regression was employed to examine the factor associated with the absolute and relative share of expenditure in couple’s annual income on ANCs, delivery care, and TME. The findings show that average expenditure on maternal health care is high ($155) in the study population. Findings suggest that factors such as income, place, and number of ANCs, type, and place of institutional delivery are significantly associated with both absolute and relative expenditure on maternity care. The likelihood of incidence of catastrophic expenditure on maternity care is significantly higher for women delivered in private hospitals (β = 2.427, p < 0.001) compared to the government hospital (β = 0). Also, it is higher among caesarean or forceps deliveries (β = 0.617, p < 0.01), deliveries conducted on doctor advise (β = 0.598, p < 0.01), than in normal deliveries (β = 0) and self or family planned deliveries (β = 0). The findings of this study suggest that the OOPE on maternity care for hospital births reported in this study is much higher as it was collected with a better methodology, although with smaller sample size. Therefore, ongoing maternity benefit scheme in India in general and Uttar Pradesh in particular need to consider the levels of OOPE on maternity care and demand-side and supply-side factors determining it for a more effective policy to reduce the catastrophic burden on households and help women to achieve better maternity health outcomes in poor regional settings like Uttar Pradesh in India.
- 27 February 2018
- Published by Springer Nature in Health Economics Review
- Vol. 8 (1) , 1-16
Open AccessOut-of-pocket expenditure on maternity care for hospital births in Uttar Pradesh, India
The studies measured Out-of-Pocket Expenditure (OOPE) for hospital births previously suffer from serious data limitations. To overcome such limitations, we designed a hospital-based study for measuring the levels and factors of OOPE on maternity care for hospital births by its detailed components. Data were collected from women for non-complicated deliveries 24-h before the survey and complicated deliveries 48-h prior to the survey at the hospital settings in Uttar Pradesh, India during 2014. The simple random sampling design was used in the selection of respondents. Bivariate analyses were used to estimate mean expenditure on Antenatal care services (ANCs), Delivery care and Total Maternity Expenditure (TME). Multivariate linear regression was employed to examine the factor associated with the absolute and relative share of expenditure in couple’s annual income on ANCs, delivery care, and TME. The findings show that average expenditure on maternal health care is high ($155) in the study population. Findings suggest that factors such as income, place, and number of ANCs, type, and place of institutional delivery are significantly associated with both absolute and relative expenditure on maternity care. The likelihood of incidence of catastrophic expenditure on maternity care is significantly higher for women delivered in private hospitals (β = 2.427, p < 0.001) compared to the government hospital (β = 0). Also, it is higher among caesarean or forceps deliveries (β = 0.617, p < 0.01), deliveries conducted on doctor advise (β = 0.598, p < 0.01), than in normal deliveries (β = 0) and self or family planned deliveries (β = 0). The findings of this study suggest that the OOPE on maternity care for hospital births reported in this study is much higher as it was collected with a better methodology, although with smaller sample size. Therefore, ongoing maternity benefit scheme in India in general and Uttar Pradesh in particular need to consider the levels of OOPE on maternity care and demand-side and supply-side factors determining it for a more effective policy to reduce the catastrophic burden on households and help women to achieve better maternity health outcomes in poor regional settings like Uttar Pradesh in India.