Output list
Conference presentation
Comparison of Pregnancy-related Out-of-pocket Expenditure in Bangladesh and Pakistan
Date presented 21/07/2025
International Health Economics Association Congress 2025, 19/07/2025–23/07/2025, Bali, Indonesia
Abstract
Background
The burden of out-of-pocket (OOP) healthcare expenses for pregnancy-related conditions is a significant concern in resource-prone countries. Bangladesh and Pakistan, two historically connected countries with similar socioeconomic standings, rank among the highest globally in OOP share in total health expenditures. Excessive OOP costs pose financial barriers to maternal healthcare utilisation, leading to catastrophic health expenditures (CHE) and deepening poverty. Our study aims to compare pregnancy-related OOP expenditures between Bangladesh and Pakistan, examining key disparities in spending patterns and financial burden.
Methods
This study utilises data from the Bangladesh Household Income and Expenditure Survey (HIES) 2022 and published secondary evidence for Pakistan in the absence of primary data. For Bangladesh, we included all women of reproductive age who reported pregnancy-related health issues in the past 30 days or were hospitalised in the last 12 months. We estimated the share of OOP in total household expenditure on pregnancy-related healthcare, assessed CHE using budget share, actual, and normative food expenditure methods, and evaluated impoverishment effects. Descriptive and equity-based analyses were conducted to examine expenditure variations across socioeconomic groups.
Results
In Bangladesh, pregnancy-related OOP expenditures (USD 434.4) accounted for 50% of total household healthcare spending (USD 892.6). The share of OOP in total household expenditure was significantly higher for private healthcare facilities (USD 417.1) and among rural women (USD 384.8). Low-income households spent a greater proportion (two-thirds) of their total expenditure on pregnancy-related care. The CHE incidence was around 94.6%-80.9% among the lowest quintile households and 26.8%-66.5% among rural households under normative capacity-to-pay (CTP) method. Impoverishment rates were highest, with 31.7% low-income and 3.9% rural households falling into poverty due to OOP expenses. In Pakistan, OOP costs for pregnancy care were significantly higher in private facilities (USD 209.88-255.49) than in public facilities (USD 23.30-63.87).
Conclusion
Pregnancy-related OOP healthcare costs constitute a significant financial burden in Bangladesh and Pakistan, with higher expenses in private facilities. Low-income and rural families in Bangladesh face the greatest hardship, often leading to financial catastrophe and poverty. Strengthening public healthcare funding, expanding maternal health insurance, and regulating private sector pricing could reduce OOP costs and improve maternal healthcare equity.
Conference presentation
Urban-rural inequality in quality antenatal care in Bangladesh and Pakistan: decomposition analysis
Date presented 09/2024
Australian Public Health Conference 2024, 17/09/2024–19/09/2024, Perth, Western Australia
Conference poster
Date presented 13/07/2021
nternational Health Economics Association (iHEA) 2021 World Congress: Health Economics in a Time of Global Change, Virtual Conference, 12/07/2021–15/07/2021, Virtual
Background: All United Nations member countries, including Bangladesh, are committed to ensuring full financial risk protection to achieve Universal Health Coverage (UHC) by 2030. This study examines how Bangladesh is progressing to achieve financial risk protection in health care over time.
Method: We analyzed data from the latest three rounds of nationally representative Household Income and Expenditure Surveys (HIES) in Bangladesh (2005, 2010, and 2016) with sample sizes of 10,080, 12,240, and 46,076 households, respectively. We refined the normative food, housing (rent), and utilities approach developed by the WHO Barcelona Office for Health Systems Strengthening to measure the levels and distributions of catastrophic health expenditure (CHE) and impoverishment through a detailed exploration of households with zero out-of-pocket (OOP) health expenditure. We also examined the level and distribution of CHE through the traditional budget-share and capacity-to-pay approaches. Due to substantial differences between OOP health expenditures calculated from health (OOPh) and consumption modules (OOPc) in HIES, we employed three models for estimating incidences of financial risk protection indicators consisting of OOP in both their numerator and the denominator; Model 1: OOPh in the numerator but OOPc in the denominator; Model 2: OOPc in both numerator and denominator; Model 3: OOPh in both numerator and denominator.
Findings: OOP expenditure soared during the study period, particularly between 2010 and 2016 (from US$106.3 to US$243.8 in models 1 and 3; from US$68.5 to US$106.3 in model 2). CHE incidence showed increasing trend over three periods: 13.6%, 13.8%, 19.2% (model 1); and 11.5%, 11.9%, 16.6% (model 3) with a minor variation (model 2). Between 2005 and 2016, the incidence of impoverishment due to OOP also increased from 4%-5.8% (5.6-9.2 million individuals), 1.2%-1.3% (1.7-2.1 million), and 1.3%-2.6% (2.1-3.6 million) in model 1, 2, and 3, respectively. Further impoverishment of the poor households was a more severe problem than impoverishment of the non-poor. Additionally, at least 5% of households were at-risk of impoverishment in all three models during the study period. Households who did not spend on health care declined from about 50% in 2005 and 2010 separately to 25% (models 1 and 3). However, the proportion of households who forgo health care due to financial reasons always remained small (less than 1%). The poorest households were invariably the least financially protected group throughout the study period while in 2016, the burden on households with chronically ill individuals was also notable. CHE measured through 10% of budget share threshold (the Sustainable Development Goals indicator 3.8.2) shows the highest incidence among all methods in 2016 (25.6%, 10.4%, 24.6% in models 1, 2, and 3 respectively) but has a pro-rich distribution.
Conclusion: Financial protection in health care in Bangladesh exhibit deteriorated trajectory over 2005-2016. The poorest and chronically ill households bear a disproportionate burden of OOP expenditure. Reversing the worsening trends of CHE and impoverishment and addressing the inequities in their distributions in Bangladesh will require a significant shift from the country's excessive dependence on private OOP sources to public sources in financing health care.