Economic burden of accidents and injuries in India: What does 75th round of national sample survey imply?

Background: Accidents and injuries constitute a sizable share of mortality and morbidity in low- and middle-income countries. This affects the most productive age group and increases disability-adjusted life years (DALYs). It results in a substantial financial burden on the households. To explore th...

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Main Authors: M Benson Thomas (Author), Anuj K Pandey (Author), Diksha Gautam (Author), Sandeep Gopinathan (Author), Sajna Panolan (Author)
Format: Book
Published: Wolters Kluwer Medknow Publications, 2024-01-01T00:00:00Z.
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100 1 0 |a M Benson Thomas  |e author 
700 1 0 |a Anuj K Pandey  |e author 
700 1 0 |a Diksha Gautam  |e author 
700 1 0 |a Sandeep Gopinathan  |e author 
700 1 0 |a Sajna Panolan  |e author 
245 0 0 |a Economic burden of accidents and injuries in India: What does 75th round of national sample survey imply? 
260 |b Wolters Kluwer Medknow Publications,   |c 2024-01-01T00:00:00Z. 
500 |a 0970-0218 
500 |a 1998-3581 
500 |a 10.4103/ijcm.ijcm_457_23 
520 |a Background: Accidents and injuries constitute a sizable share of mortality and morbidity in low- and middle-income countries. This affects the most productive age group and increases disability-adjusted life years (DALYs). It results in a substantial financial burden on the households. To explore the economic burden of accidents and Injuries on Indian households and to find how the catastrophic health expenditure (CHE) from accidents and injuries affects the population. Another objective is to explore Catastrophic out-of-pocket expenditures (OOPE) patterns and distressed financing of households in India. Materials and Methods: The study used data from the 75th round of nationally representative surveys, that is, the National Sample Survey (NSS). Authors have analyzed the data using descriptive binary logistic regression analysis to estimate the rate and average days of hospitalization, average OOPE, and share of the population experiencing the catastrophic impact from the health expenditure separately from the public and private healthcare institutions. Results: The study observed that hospitalization in the private sector imposes 72% of households incur CHE at more than 10% cut-off and 41% at more than 25% cut-off. In comparison, it is less in the public sector, with 22% of households incurring CHE at more than 10% of annual per capita household income and 9% at more than 25%. Conclusion: The increasing incidence of road traffic accidents (RTA) is a concern for the overstretched health system. The government should provide better healthcare facilities and universal health insurance coverage to ensure patients' speedy recovery and financial security. 
546 |a EN 
690 |a accident 
690 |a che 
690 |a economics 
690 |a oope 
690 |a road-traffic 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Indian Journal of Community Medicine, Vol 49, Iss 1, Pp 181-188 (2024) 
787 0 |n http://www.ijcm.org.in/article.asp?issn=0970-0218;year=2024;volume=49;issue=1;spage=181;epage=188;aulast=Thomas 
787 0 |n https://doaj.org/toc/0970-0218 
787 0 |n https://doaj.org/toc/1998-3581 
856 4 1 |u https://doaj.org/article/aa61d96ffac84f27a13f826cb9f50bfc  |z Connect to this object online.