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      Disease-specific out-of-pocket and catastrophic health expenditure on hospitalization in India: Do Indian households face distress health financing?

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          Abstract

          Background

          Rising non-communicable diseases (NCDs) coupled with increasing injuries have resulted in a significant increase in health spending in India. While out-of-pocket expenditure remains the major source of health care financing in India (two-thirds of the total health spending), the financial burden varies enormously across diseases and by the economic well-being of the households. Though prior studies have examined the variation in disease pattern, little is known about the financial risk to the families by type of diseases in India. In this context, the present study examines disease-specific out-of-pocket expenditure (OOPE), catastrophic health expenditure (CHE) and distress health financing.

          Methods and materials

          Unit data from the 71 st round of the National Sample Survey Organization (2014) was used for this study. OOPE is defined as health spending on hospitalization net of reimbursement, and CHE is defined as household health spending exceeding 10% of household consumption expenditure. Distress health financing is defined as a situation when a household has to borrow money or sell their property/assets or when it gets contributions from friends/relatives to meet its health care expenses. OOPE was estimated for 16 selected diseases and across three broad categories- communicable diseases, NCDs and injuries. Multivariate logistic regression was used to understand the determinants of distress financing and CHE.

          Results

          Mean OOPE on hospitalization was INR 19,210 and was the highest for cancer (INR 57,232) followed by heart diseases (INR 40,947). About 28% of the households incurred CHE and faced distress financing. Among all the diseases, cancer caused the highest CHE (79%) and distress financing (43%). More than one-third of the inpatients reported distressed financing for heart diseases, neurological disorders, genito urinary problems, musculoskeletal diseases, gastro-intestinal problems and injuries. The likelihood of incurring distress financing was 3.2 times higher for those hospitalized for cancer (OR 3.23; 95% CI: 2.62–3.99) and 2.6 times for tuberculosis patients (OR 2.61; 95% CI: 2.06–3.31). A large proportion of households who had reported distress financing also incurred CHE.

          Recommendations

          Free treatment for cancer and heart diseases is recommended for the vulnerable sections of the society. Risk-pooling and social security mechanisms based on contributions from both households as well as the central and state governments can reduce the financial burden of diseases and avert households from distress health financing.

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          Most cited references29

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          What are the economic consequences for households of illness and of paying for health care in low- and middle-income country contexts?

          This paper presents the findings of a critical review of studies carried out in low- and middle-income countries (LMICs) focusing on the economic consequences for households of illness and health care use. These include household level impacts of direct costs (medical treatment and related financial costs), indirect costs (productive time losses resulting from illness) and subsequent household responses. It highlights that health care financing strategies that place considerable emphasis on out-of-pocket payments can impoverish households. There is growing evidence of households being pushed into poverty or forced into deeper poverty when faced with substantial medical expenses, particularly when combined with a loss of household income due to ill-health. Health sector reforms in LMICs since the late 1980s have particularly focused on promoting user fees for public sector health services and increasing the role of the private for-profit sector in health care provision. This has increasingly placed the burden of paying for health care on individuals experiencing poor health. This trend seems to continue even though some countries and international organisations are considering a shift away from their previous pro-user fee agenda. Research into alternative health care financing strategies and related mechanisms for coping with the direct and indirect costs of illness is urgently required to inform the development of appropriate social policies to improve access to essential health services and break the vicious cycle between illness and poverty.
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            Herd immunity and serotype replacement 4 years after seven-valent pneumococcal conjugate vaccination in England and Wales: an observational cohort study.

            The seven-valent pneumococcal conjugate vaccine (PCV7) has reduced vaccine-type (VT) invasive pneumococcal disease but increases in non-vaccine-type (NVT) disease have varied between countries. We assess the effect of the PCV7 vaccination on VT and NVT disease in England and Wales. The study cohort was the population of England and Wales from July, 2000, to June, 2010. We calculated incidence rate ratios (IRRs) to compare incidences of VT and NVT disease before (2000-06) and after (2009-10) the introduction of PCV7. We used data from the national surveillance database. Cases included in our analysis were restricted to those confirmed by culture linked with isolates referred for serotyping at the national reference centre by laboratories in England and Wales. We adjusted for potential bias from missing data (serotype and age of patient) and changes in case ascertainment rates during the study period. 5809 cases of invasive pneumococcal disease were reported in 2009-10, giving an incidence of 10·6 per 100,000 population in 2009-10, which, when compared with the adjusted average annual incidence of 16·1 in 2000-06, gives an overall reduction of 34% (95% CI 28-39). VT disease decreased in all age groups, with reductions of 98% in individuals younger than 2 years and 81% in those aged 65 years or older. NVT disease increased by 68% in individuals younger than 2 years and 48% in those aged 65 years or older, giving an overall reduction in invasive pneumococcal disease of 56% in those younger than 2 years and 19% in those aged 65 years or older. After vaccine introduction, more NVT serotypes increased in frequency than decreased, which is consistent with vaccine-induced replacement. Key serotypes showing replacement were 7F, 19A, and 22F. Increases in NVT invasive pneumococcal disease were not associated with antimicrobial resistance. Despite much serotype replacement, a substantial reduction in invasive pneumococcal disease in young children can be achieved with PCV7 vaccination, with some indirect benefit in older age groups. Further reductions should be achievable by use of higher valency vaccines. Robust surveillance data are needed to properly assess the epidemiological effect of multivalent pneumococcal disease vaccines. Health Protection Agency. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Extending health insurance to the poor in India: An impact evaluation of Rashtriya Swasthya Bima Yojana on out of pocket spending for healthcare

              India launched the ‘Rashtriya Swasthya Bima Yojana’ (RSBY) health insurance scheme for the poor in 2008. Utilising 3 waves (1999–2000, 2004–05 and 2011–12) of household level data from nationally representative surveys of the National Sample Survey Organisation (NSSO) (N = 346,615) and district level RSBY administrative data on enrolment, we estimated causal effects of RSBY on out-of-pocket expenditure. Using ‘difference-in-differences’ methods on households in matched districts we find that RSBY did not affect the likelihood of inpatient out-of-pocket spending, the level of inpatient out of pocket spending or catastrophic inpatient spending. We also do not find any statistically significant effect of RSBY on the level of outpatient out-of-pocket expenditure and the probability of incurring outpatient expenditure. In contrast, the likelihood of incurring any out of pocket spending (inpatient and outpatient) rose by 30% due to RSBY and was statistically significant. Although out of pocket spending levels did not change, RSBY raised household non-medical spending by 5%. Overall, the results suggest that RSBY has been ineffective in reducing the burden of out-of-pocket spending on poor households.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 May 2018
                2018
                : 13
                : 5
                : e0196106
                Affiliations
                [001]Department of Fertility Studies, International Institute for Population Sciences (IIPS), Deonar, Mumbai, India
                National Institute of Technology Rourkela, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4626-332X
                Article
                PONE-D-17-20702
                10.1371/journal.pone.0196106
                5945043
                29746481
                528077ff-e3c1-48cb-a190-3c49a0f81c16
                © 2018 Kastor, Mohanty

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 May 2017
                : 6 April 2018
                Page count
                Figures: 3, Tables: 7, Pages: 18
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Social Sciences
                Economics
                Finance
                Social Sciences
                Economics
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                Hospitalizations
                Medicine and Health Sciences
                Cardiovascular Medicine
                Cardiovascular Diseases
                People and Places
                Geographical Locations
                Asia
                India
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Infectious Diseases
                Bacterial Diseases
                Tuberculosis
                Medicine and Health Sciences
                Tropical Diseases
                Tuberculosis
                Medicine and Health Sciences
                Infectious Diseases
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                All relevant data are within the paper and its Supporting Information files.

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