Background: A key aim of Universal Health Coverage (UHC) is to protect individuals and households against the financial risk of illness, and large-scale health insurance expansions are a central focus of the UHC agenda. Importantly, however, health insurance does not protect against a key dimension of financial risk associated with illness: forgone wage income. In this paper, we quantify the economic burden of illness in India attributable - separately - to wage loss and to medical care spending, as well as differences in them across the socio-economic distribution.
Methods: We use data from two longitudinal Indian household surveys: (i) the Village Dynamics in South Asia (VDSA) survey (1300 households surveyed every month for 60 months between 2010 and 2015) and (ii) the Indian Human Development Survey (IHDS) (more than 40,000 households surveyed in 2005 and again in 2011). Our regression models include a series of fixed effects that account for time-invariant household- (or individual-) level and time-varying unobservables common across households.
Findings: We find that, in the VDSA sample, wage loss accounts for more than 80% of the total economic burden of illness among the poorest households, but only about 20% of the economic burden of illness among the most affluent. Estimates from the IHDS sample confirm that this socio-economic gradient is present in the Indian population generally.
Conclusions: Wage loss accounts for a substantial share of the total economic burden of illness in India - and disproportionately so among the poorest households. Our findings imply that if UHC is to achieve its objective of protecting households against the financial risk of illness - particularly poor households, the inclusion of wage loss insurance or another illness-related income replacement benefit is needed.
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http://dx.doi.org/10.1016/j.socscimed.2022.115583 | DOI Listing |
Trauma Surg Acute Care Open
January 2025
Dewitt Daughtry Family Department of Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA.
Background: Financial toxicity refers to financial hardship experienced because of illness or injury. Poverty is a known driver of community violence, but financial toxicity has not been studied in firearm violence survivors. The objective of our study was to explore the financial needs of firearm violence survivors enrolled in a hospital-based violence intervention program (HVIP).
View Article and Find Full Text PDFInt Nurs Rev
March 2025
College of Nursing, Keimyung University, Daegu, South Korea.
Aim: This study aimed to estimate the annual cost burden of productivity loss due to sickness presenteeism among hospital nurses in South Korea.
Background: Despite nurses being potentially more vulnerable to presenteeism, few studies have analyzed nurses' productivity losses due to sickness presenteeism.
Methods: This cross-sectional study employed an online survey in January 2023 with 607 nurses working in general/tertiary hospitals in South Korea.
Health Econ Rev
December 2024
Institute of Economic Studies, Charles University, Opletalova 26, Prague, 110 00, Czech Republic.
Background: The Statutory Health Insurance scheme is one of two main schemes of health care system financing in Europe. This scheme mainly relies on wage-based contributions from employers and employees and is thus prone to business cycle fluctuations. This turned out to be a problem especially after the 2008 crisis.
View Article and Find Full Text PDFCancer Epidemiol
February 2025
Health Economics and Policy Evaluation Research (HEPER), Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia; School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia. Electronic address:
Purpose: Breast cancer exerts a considerable burden on an individual's health, but also impacts society more broadly through lost work productivity. This study aimed to measure the quality of life and productivity burden among Australian females of working age diagnosed with breast cancer in 2022.
Methods: A Markov lifetable model was simulated twice; the initial simulation followed the progression of Australian females diagnosed with breast cancer in 2022 using current population incidence rates, whilst the second simulation hypothetically assumed there were no females living with breast cancer.
PLoS One
December 2024
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America.
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