Measuring the burden of accidental injuries in India: a cross-sectional analysis of the National Sample Survey (2017–18)

Author:

Ram Bhed,Thakur RamnaORCID

Abstract

AbstractGlobally, injuries are the leading cause of premature deaths and disability and account for nearly 9 per cent of total deaths worldwide. Like other countries, India also faces a very high burden of injuries, with the second most common cause of death and disability. Annually, 0.15 million people lose their lives due to accidental injuries/road traffic accidents in India, which is 11 per cent of the accident-related death worldwide. This study aims to analyse the socio-economic and demographic differentials in the magnitude of economic burden and coping strategies associated with accidental injuries in India. The study used the nationally representative cross-sectional data on the ‘Key Indicators of Social Consumption in India: Health, (2017–18)’ of the National Sample Survey Organisation (NSSO). Simple descriptive statistics have been used to measure the incidence and intensity of accidental injuries. The economic burden is estimated through out-of-pocket (OOP) health expenditure on accidental injuries and the use of different sources of finance to cope with the same. In addition, the logistic regression analysis has been used to analyse the association between socio-economic covariates and the likelihood of suffering from accidental injuries in India. The findings reveal that, unlike outpatient care, the high incidence in inpatient care reveals that hospitalisation is inevitable in most cases after accidental injuries. Among various socio-economic variables, the incidence of accidental cases is higher among individuals residing in urban areas, males, educated persons, and economically better-off sections of society. Also, the mean monthly OOP expenditure on the accidental injuries-affected population has been estimated at INR 2672 .46 (US$ 41.06) and INR 3041.64 (US$ 47.09) in inpatient and outpatient care, respectively. Almost the same sections and the individuals who received insurance spend more OOP expenditure on accidental injuries. However, OOP expenditure as a share of total consumption expenditure (TCE) is significantly high among their counterparts, such as rural inhabitants, illiterates, scheduled castes, the very poor and those who do not have any kind of health insurance coverage. In addition to savings/income, individuals depend more on the distress sources such as borrowings and selling of household assets to meet their OOP health expenditure in India. In conclusion, the high incidence of accidental injuries threatens people more than some of the other ailments in India. A strict motor vehicle act, administrative and political determination, awareness campaigns through various media platforms, diverse road lane systems and traffic norms can help reduce accidental fatalities in the country. Reducing the economic burden of accidental injuries requires increasing public spending on healthcare services as a percentage share of the country’s GDP. Furthermore, comprehensive universal health insurance coverage for all, including each component of healthcare expenditure, is the need of the hour.

Publisher

Springer Science and Business Media LLC

Subject

General Economics, Econometrics and Finance,General Psychology,General Social Sciences,General Arts and Humanities,General Business, Management and Accounting

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3