Population with impoverishing health expenditures, at the 2011 PPP $1.90 a day poverty line

Percent

Health system

The proportion of the population pushed further below the poverty line by household health expenditures corresponds to the proportion of poor people spending any amount on health out-of-pocket in the total population. The poor are identified as those people living in households with total household consumption or income inclusive of any health spending below the poverty line. The household’s sample weight multiplied by the household size is used to obtain representative numbers per person. If the sample is self-weighting, then only the household size is used as the weight. The international poverty line of $1.90 a day in 2011 purchasing power parity (PPP) is used (shown as $1.90-a-day) to demonstrate the interdependency between SDG target 1.1, the eradication of extreme poverty and SDG target 3.8 (Universal Health Coverage). International poverty lines are converted to local currency units (LCUs) using 2011 purchasing power parity (PPP) exchange rates and consumer price indices (CPIs). Household consumption or income, out-of-pocket expenditures on health, and poverty lines are all measured by their daily value per capita.

Impoverishing health spending, Financial hardship, Financial protection, Out-of-pocket expenditure

Global, regional, national, place of residence (rural, urban), household age or sex, age composition of household

Impact

The proportion of the population pushed further below the poverty line by household health expenditures is computed as the ratio of the number of poor people spending any amount on health out-of-pocket in the total population. These poor people live in a household with consumption or income levels already below the poverty line before health payments and are thus further impoverished when incurring health out-of-pocket payments. The poor are identified as those people living in households with total household consumption or income inclusive of any out-of-pocket health spending below the poverty line. For global monitoring, international poverty lines are used. The international poverty line of $1.90-a-day is converted to local currency units (LCUs) using 2011 purchasing power parity (PPP) exchange rates and consumer price indices (CPIs). Household consumption expenditure or income, household expenditures on health, and poverty lines are all measured by their daily value per capita. Household expenditure on health is defined as formal and informal payments made at the time of getting any type of care (promotive, curative, rehabilitative, palliative or long-term care) provided by any type of provider. These payments include the part not covered by a third party such as the government, health insurance fund or private insurance but exclude insurance premiums as well as any reimbursement by a third party. They might be financed by income, including remittance, savings, or borrowings. With this definition, health expenditures are labelled Out-Of-Pocket (OOP) payments in the classification of health care financing schemes (HF) of the International Classification for Health Accounts (ICHA). The $1.90-a-day poverty line in the 2011 PPP updates the $1.25-a-day poverty line in the 2005 PPP and is often referred to as the “extreme poverty line”, which underlies SDG target 1.1. With this poverty line, the proportion of the population pushed further into extreme poverty by out-of-pocket payments is close to or equal to zero in upper-middle-income and high-income countries. Ultimately the choice of the poverty line should be tailored to inform evidence-based policy changes at global, regional and national levels. Using national and regional poverty lines is critical to fully understanding the impact of out-of-pocket payments on poverty at national and regional levels. The total population incurring impoverishing health expenditures correspond to those pushed* and pushed further into poverty by out-of-pocket health spending. The population pushed further below a poverty line can be disaggregated as follows if the survey has been designed to provide representative estimates and/or there are enough observations at such levels: “rural” and “urban”; sex of the head of the household (male/female); Age of the head of the household (below 60 years old/ 60 years or older); age composition of the household: “Adults only (20-59 years old)” - households that consist of members aged between 20 and 59 years old; “Adults with children and adolescents (below 60 years old members)” - households that consist of members aged below 60 only as follows: at least one member below 20 years old AND at least one member aged between 20 and 59 years old; “Multigenerational households (all ages)” - households that include at least one person below 20 years old AND at least one person aged between 20 and 59 years old AND at least one person >= 60 years old; “Adults with older persons (from 20 years old)” - households that consist of members aged >=20 only as follows: at least one person aged between 20 and 59 years old AND at least one person >= 60 years old; “Only older adults (>=60 years old)” - households that consist of members aged >=60 years old only; “Only members below 20 years old” - households that consist of members aged below 20 years old only. In this classification, children are defined as those aged below 10 years, adolescents are those between 10 and 19 years old, and older persons/adults are at least 60 years old. Other types of disaggregation are possible, for example, by quintiles of the household welfare measures (total household consumption expenditure or income). Indicators of impoverishment due to spending on health are not part of the official SDG indicator of Universal Health Coverage (UHC) per se but relate UHC to the first SDG goal, namely, ending poverty in all its forms everywhere. *See the metadata for the population pushed into poverty by out-of-pocket health spending.

Every 2-3 years

Every 1–5 years, depending on the implementation of population-based household expenditure surveys led by national statistics offices

uhc_stats@who.int

Dr. Gabriela Flores

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