Suchergebnisse

Background and Objective: 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. Methods: 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. Results: 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 (ß = 2.427, p < 0.001) compared to the government hospital (ß = 0). Also, it is higher among caesarean or forceps deliveries (ß = 0. 617, p < 0.01), deliveries conducted on doctor advise (ß = 0.598, p < 0.01), than in normal deliveries (ß = 0) and self or family planned deliveries (ß = 0). Conclusions: 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.

SummaryThis study investigated the effect of family planning on the levels of women's anaemia and child undernutrition at the aggregate level using the compiled databases of the World Bank, UNICEF and the Economist Intelligence Unit. Correlation scatter matrix plots and multivariate OLS regression models were employed to assess the effect of family planning on women's anaemia and child nutritional status across countries. At the aggregate level, the bivariate correlation estimates found that the Contraceptive Prevalence Rate (CPR) was negatively associated with women's anaemia (r=−0.62, p<0.01), child underweight (r=−0.57, p<0.01) and child stunting (r=−0.63, p<0.01). The results of the OLS regression showed that the independent effect of CPR on women's anaemia (β=−0.35, p<0.01), child underweight (β=−0.13, p<0.01) and child stunting (β=−0.18, p<0.05) was negative, even after controlling for child marriage, female literacy, per capita GDP, poverty ratio, health expenditure and food security. The synthesis of these findings with the existing literature based on micro-data suggests pathways through which family planning influences the nutritional status of women and children. Family planning helps in avoiding shorter birth intervals, unintended pregnancy and unsafe abortion, which would otherwise result in nutrient depletion among mothers and further increase the risk of undernutrition in their children.