ArticleInternational journal for equity in health2022
Disease-specific distress healthcare financing and catastrophic out-of-pocket expenditure for hospitalization in Bangladesh.
Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Understanding variation in catastrophic health expenditure from socio-ecological aspect: a systematic review.BMC public health · 2024Pooled it
- Hidden out-of-pocket spending on health: A cross-sectional study on underestimation of catastrophic health spending in Vietnam.Public health in practice (Oxford, England) · 2026Article
- Catastrophic health expenditures and medical impoverishment in Bangladesh: evidence from the Household Income and Expenditure Survey.BMJ open · 2026Article
- The financial burden of cancer: A longitudinal analysis of out-of-pocket healthcare costs in Australia (2009-2021).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Catastrophic health expenditures associated with single admission for paediatric surgery in a low-resource setting: a multicentre study.BMJ global health · 2026Article
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- Cost Disparities Between Hospital Expenditures and Reimbursement Schemes in Indonesia: A Study on Chemotherapy for Breast Cancer.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Financial burden of noncommunicable diseases on households in Bangladesh: a quasi-experimental analysis using national survey data.Health economics review · 2026Article
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- Disease-specific distress healthcare financing and catastrophic out-of-pocket expenditure for hospitalization care in Bangladesh.Cost effectiveness and resource allocation : C/E · 2025Article
- Determinants of distress financing for healthcare service utilization: a convergent mixed-method study at a tertiary hospital in Malaysia.Health policy and planning · 2025Article
- Unmet healthcare needs, out-of-pocket payments and catastrophic health expenditures among hypertensive adults in Bangladesh.BMC health services research · 2025Article
- Out-of-pocket cost and financial catastrophe of patients with cancer: the alarming cost-of-illness in Bangladesh.International journal for equity in health · 2025Article
- Distribution of government health financing benefits among women who delivered in public institutions in Bangladesh: a nationally representative cross-sectional study.The Lancet regional health. Southeast Asia · 2025Article
- Willingness-to-pay for community-based health insurance among formal and informal doctors in Dhaka, Bangladesh: a comparative cross-sectional study.BMJ public health · 2025Article
- Assessing Household Out-of-Pocket Expenditures for Non-communicable Diseases in a 4Acta medica Philippina · 2025Article
- The financial burden of noncommunicable diseases from out-of-pocket expenditure in sub-Saharan Africa: a scoping review.Health promotion international · 2024Article
- The Economic Burden of Childhood Ocular Morbidity in Bangladesh.Advances in therapy · 2024Article
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Corrections and comments
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Authors and funding
8 authors at 6 institutions in 3 countries.
Funding
Abstract
backgroundFinancial risk protection and equity are two fundamental components of the global commitment to achieve Universal Health Coverage (UHC), which mandates health system reform based on population needs, disease incidence, and economic burden to ensure that everyone has access to health services without any financial hardship. We estimated disease-specific incidences of catastrophic out-of-pocket health expenditure and distress financing to investigate progress toward UHC financial risk indicators and investigated inequalities in financial risk protection indicators by wealth quintiles. In addition, we explored the determinants of financial hardship indicators as a result of hospitalization costs.
methodsIn order to conduct this research, data were extracted from the latest Bangladesh Household Income and Expenditure Survey (HIES), conducted by the Bangladesh Bureau of Statistics in 2016-2017. Financial hardship indicators in UHC were measured by catastrophic health expenditure and distress financing (sale/mortgage, borrowing, and family support). Concentration curves (CC) and indices (CI) were estimated to measure the pattern and severity of inequalities across socio-economic classes. Binary logistic regression models were used to assess the determinants of catastrophic health expenditure and distress financing.
resultsWe found that about 26% of households incurred catastrophic health expenditure (CHE) and 58% faced distress financing on hospitalization in Bangladesh. The highest incidence of CHE was for cancer (50%), followed by liver diseases (49.2%), and paralysis (43.6%). The financial hardship indicators in terms of CHE (CI = -0.109) and distress financing (CI = -0.087) were more concentrated among low-income households. Hospital admission to private health facilities, non-communicable diseases, and the presence of chronic patients in households significantly increases the likelihood of higher UHC financial hardship indicators.
conclusionsThe study findings strongly suggest the need for national-level social health security schemes with a particular focus on low-income households, since we identified greater inequalities between low- and high-income households in UHC financial hardship indicators. Regulating the private sector and implementing subsidized healthcare programmes for diseases with high treatment costs, such as cancer, heart disease, liver disease, and kidney disease are also expected to be effective to protect households from financial hardship. Finally, in order to reduce reliance on OOPE, the government should consider increasing its allocations to the health sector.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.