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Out-of-pocket expenditure on maternity care for hospital births in Uttar Pradesh, India

Overview of attention for article published in Health Economics Review, February 2018
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Title
Out-of-pocket expenditure on maternity care for hospital births in Uttar Pradesh, India
Published in
Health Economics Review, February 2018
DOI 10.1186/s13561-018-0189-3
Pubmed ID
Authors

Srinivas Goli, Anu Rammohan, Moradhvaj

Abstract

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.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 14%
Researcher 19 14%
Student > Master 17 12%
Student > Postgraduate 12 9%
Student > Bachelor 8 6%
Other 23 16%
Unknown 42 30%
Readers by discipline Count As %
Medicine and Dentistry 33 24%
Social Sciences 17 12%
Economics, Econometrics and Finance 12 9%
Nursing and Health Professions 9 6%
Business, Management and Accounting 4 3%
Other 16 11%
Unknown 49 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 March 2018.
All research outputs
#14,377,572
of 23,025,074 outputs
Outputs from Health Economics Review
#221
of 436 outputs
Outputs of similar age
#187,673
of 330,058 outputs
Outputs of similar age from Health Economics Review
#8
of 9 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 436 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.