2019
DOI: 10.1136/bmjgh-2019-001475
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Coping with healthcare costs for chronic illness in low-income and middle-income countries: a systematic literature review

Abstract: BackgroundExperiencing illness in low-income and middle-income countries (LMICs) can incur very high out-of-pocket (OOP) payments for healthcare and, while the existing literature typically focuses on levels of expenditure, it rarely examines what happens when households do not have the necessary money. Some will adopt one or more ‘coping strategies’, such as borrowing money, perhaps at exorbitant interest rates, or selling assets, some necessary for their future income, with detrimental long-term effects. Thi… Show more

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Cited by 48 publications
(38 citation statements)
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“…Several studies in especially in low-income and middle-income countries found that households and patients adopt different strategies in the face of health expenditures. [31][32][33] The findings in the study showed that 94% of primary caregivers were highly burdened. The findings are supported by Chua et al 34 who reported a ZBI mean total score of 17.81 indicating high burden among more than half of informal caregivers in Singapore.…”
Section: Discussionmentioning
confidence: 82%
“…Several studies in especially in low-income and middle-income countries found that households and patients adopt different strategies in the face of health expenditures. [31][32][33] The findings in the study showed that 94% of primary caregivers were highly burdened. The findings are supported by Chua et al 34 who reported a ZBI mean total score of 17.81 indicating high burden among more than half of informal caregivers in Singapore.…”
Section: Discussionmentioning
confidence: 82%
“…Assessing monetary poverty is often an unreliable and inaccurate measure of well-being in low-income countries [42]. Further, measuring spending alone does not capture the long-term detrimental impact of difficult coping strategies including borrowing money with high interest rates, removing children from school, reducing expenses on food and education, or quitting work to give care [43]. Traditional spending measures may underestimate the impact on families as they adjust spending in response to medical financial shocks [14,15].…”
Section: Discussionmentioning
confidence: 99%
“…In Equation (1 ), we capture the effects of financial inclusion on financial hardship in healthcare coverage by looking at the individuals’ probability of borrowing for medical purposes. Based on literature regarding how individuals cope with health shocks, 32 , 46 , 47 we hypothesise that, if an individual borrows for medical purposes, they are more likely to have financial hardships that can lead to catastrophic health expenditure. Included in the matrix are the variables we control for, largely motivated by the literature, which are age groups, education and income quintiles.…”
Section: Methodsmentioning
confidence: 99%