2021
DOI: 10.1002/hpm.3275
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Households' out‐of‐pocket expenditure for healthcare in Bangladesh: A health financing incidence analysis

Abstract: Background: Despite improvements in many health indicators, providing access to affordable healthcare remains a considerable challenge in Bangladesh. Financing incidence analysis will enable an evaluation of how well the healthcare system performs to achieve equity in health financing. The objective of this study is to assess the burden of out-ofpocket (OOP) cost on different socio-economic groups by assessing the health financing incidence because OOP cost dominates household expenditure on health in Banglade… Show more

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Cited by 14 publications
(18 citation statements)
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“…Arcaya et al systematically reviewed the methodological, theoretical, and philosophical aspects of health inequalities, which provides scientific guidance for the study of health ( 11 ). To better assess the equity of healthcare service, a series of indicators, such as the Kakwani index ( 12 , 13 ), the concentration index (CI) ( 14 , 15 ), and the horizontal inequity (HI) ( 16 , 17 ), are introduced to measure inequity in healthcare resource utilization and determine the contribution of different influences to the overall unfairness. Moreover, machine learning techniques are increasingly used to optimize health and social systems to ensure equality in healthcare delivery outcomes, performance, and resource allocation ( 18 , 19 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Arcaya et al systematically reviewed the methodological, theoretical, and philosophical aspects of health inequalities, which provides scientific guidance for the study of health ( 11 ). To better assess the equity of healthcare service, a series of indicators, such as the Kakwani index ( 12 , 13 ), the concentration index (CI) ( 14 , 15 ), and the horizontal inequity (HI) ( 16 , 17 ), are introduced to measure inequity in healthcare resource utilization and determine the contribution of different influences to the overall unfairness. Moreover, machine learning techniques are increasingly used to optimize health and social systems to ensure equality in healthcare delivery outcomes, performance, and resource allocation ( 18 , 19 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…73 OOPE is the most important component of health care financing in many countries and a leading cause of impoverishment. [74][75][76] A high OOPE on health care increases the financial load of households and pushes them deeper into poverty. 15,77,78 OOPE includes expenses on medicines, transportation, stay, meal, paperwork, etc.…”
Section: Out-of-pocket Expenditurementioning
confidence: 99%
“…Achieving Universal health coverage requires careful monitoring of out‐of‐pocket expenditure (OOPE) 73 . OOPE is the most important component of health care financing in many countries and a leading cause of impoverishment 74–76 . A high OOPE on health care increases the financial load of households and pushes them deeper into poverty 15,77,78 .…”
Section: Literature Reviewmentioning
confidence: 99%
“…Such consequences of OOPE often induce intractable stress on the household's economic security. 3,4 This has narrated the policymakers to implement various financial protective interventions, at national and subnational levels to curb the despicable repercussions of OOPE. 5,6 Health policy researchers have evaluated the effectiveness of such interventional strategies, sans space and time.…”
Section: Introductionmentioning
confidence: 99%