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      Effect of health insurance program for the poor on out-of-pocket inpatient care cost in India: evidence from a nationally representative cross-sectional survey

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          Abstract

          Background

          In India, Out-of-pocket expenses accounts for about 62.6% of total health expenditure - one of the highest in the world. Lack of health insurance coverage and inadequate coverage are important reasons for high out-of-pocket health expenditures. There are many Public Health Insurance Programs offered by the Government that cover the cost of hospitalization for the people below poverty line (BPL), but their coverage is still not complete. The objective of this research is to examine the effect of Public Health Insurance Programs for the Poor on hospitalizations and inpatient Out-of-Pocket costs.

          Methods

          Data from the recent national survey by the National Sample Survey Organization, Social Consumption in Health 2014 are used. Propensity score matching was used to identify comparable non-enrolled individuals for individuals enrolled in health insurance programs. Binary logistic regression model, Tobit model, and a Two-part model were used to study the effects of enrolment under Public Health Insurance Programs for the Poor on the incidence of hospitalizations, length of hospitalization, and Out-of- Pocket payments for inpatient care.

          Results

          There were 64,270 BPL people in the sample. Individuals enrolled in health insurance for the poor have 1.21 higher odds of incidence of hospitalization compared to matched poor individuals without the health insurance coverage. Enrollment under the poor people health insurance program did not have any effect on length of hospitalization and inpatient Out-of-Pocket health expenditures. Logistic regression model showed that chronic illness, household size, and age of the individual had significant effects on hospitalization incidence. Tobit model results showed that individuals who had chronic illnesses and belonging to other backward social group had significant effects on hospital length of stay. Tobit model showed that days of hospital stay, education and age of patient, using a private hospital for treatment, admission in a paying ward, and having some specific comorbidities had significant positive effect on out-of-pocket costs.

          Conclusions

          Enrolment in the public health insurance programs for the poor increased the utilization of inpatient health care. Health insurance coverage should be expanded to cover outpatient services to discourage overutilization of inpatient services. To reduce out-of-pocket costs, insurance needs to cover all family members rather than restricting coverage to a specific maximum defined.

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          Most cited references52

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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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            Chronic diseases and injuries in India.

            Chronic diseases (eg, cardiovascular diseases, mental health disorders, diabetes, and cancer) and injuries are the leading causes of death and disability in India, and we project pronounced increases in their contribution to the burden of disease during the next 25 years. Most chronic diseases are equally prevalent in poor and rural populations and often occur together. Although a wide range of cost-effective primary and secondary prevention strategies are available, their coverage is generally low, especially in poor and rural populations. Much of the care for chronic diseases and injuries is provided in the private sector and can be very expensive. Sufficient evidence exists to warrant immediate action to scale up interventions for chronic diseases and injuries through private and public sectors; improved public health and primary health-care systems are essential for the implementation of cost-effective interventions. We strongly advocate the need to strengthen social and policy frameworks to enable the implementation of interventions such as taxation on bidis (small hand-rolled cigarettes), smokeless tobacco, and locally brewed alcohols. We also advocate the integration of national programmes for various chronic diseases and injuries with one another and with national health agendas. India has already passed the early stages of a chronic disease and injury epidemic; in view of the implications for future disease burden and the demographic transition that is in progress in India, the rate at which effective prevention and control is implemented should be substantially increased. The emerging agenda of chronic diseases and injuries should be a political priority and central to national consciousness, if universal health care is to be achieved. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              The lifetime distribution of health care costs.

              To estimate the magnitude and age distribution of lifetime health care expenditures. Claims data on 3.75 million Blue Cross Blue Shield of Michigan members, and data from the Medicare Current Beneficiary Survey, the Medical Expenditure Panel Survey, the Michigan Mortality Database, and Michigan nursing home patient counts. Data were aggregated and summarized in year 2000 dollars by service, age, and gender. We use life table models to simulate a typical lifetime's distribution of expenditures, employing cross-sectional data on age- and sex-specific health care costs and the mortality experience of the population. We determine remaining lifetime expenditures at each age for all initial members of a birth cohort. Separately, we calculate remaining expenditures for survivors at all ages. Using cross-sectional data, the analysis holds disease incidence, medical technology, and health care prices constant, thus permitting an exclusive focus on the role of age in health care costs. Per capita lifetime expenditure is USD $316,600, a third higher for females (USD $361,200) than males (USD $268,700). Two-fifths of this difference owes to women's longer life expectancy. Nearly one-third of lifetime expenditures is incurred during middle age, and nearly half during the senior years. For survivors to age 85, more than one-third of their lifetime expenditures will accrue in their remaining years. Given the essential demographic phenomenon of our time, the rapid aging of the population, our findings lend increased urgency to understanding and addressing the interaction between aging and health care spending.
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                Author and article information

                Contributors
                shyam.silverhawk@gmail.com
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                7 September 2020
                7 September 2020
                2020
                : 20
                : 839
                Affiliations
                GRID grid.254567.7, ISNI 0000 0000 9075 106X, Department of Health Services Policy and Management, , University of South Carolina, ; Columbia, SC USA
                Author information
                http://orcid.org/0000-0003-4906-1405
                Article
                5692
                10.1186/s12913-020-05692-7
                7487854
                32894118
                637fe388-c586-4ce0-b8ac-af78e281251f
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 2 January 2020
                : 31 August 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Health & Social care
                health insurance,financial protection,out-of-pocket health expenditure,inpatient

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