Equity in Health and Health Care11This chapter was written when Marc Fleurbaey was research associate at CORE. We thank Chiara Canta, Tom McGuire, Tom van Ourti and Fred Schrogen for their useful comments.

Fleurbaey, Marc; Schokkaert, Erik

doi:10.1016/b978-0-444-53592-4.00016-5

Cited by 61 publications

(10 citation statements)

References 134 publications

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“…A ccording to the BVA Barometer carried out by DREES (the statistical directorate of the Ministry of social affairs) in 2017, 27% of French people believe that inequality in access to healthcare is the least acceptable inequality, ahead of housing and income inequalities (Antunez & Papuchon, 2018). This concern is in line with the objective of horizontal equity in access to healthcare that the French healthcare system has had since its creation, in accordance with the maxim "to each according to his needs" (Fleurbaey & Schokkaert, 2011;Rochaix & Tubeuf, 2009;Wagstaff & van Doorslaer, 2000). However, many studies show the existence of inequalities in the use of healthcare for given needs in both France and Europe (Bago d'Uva & Jones, 2009;Devaux, 2015).…”

Section: * * *mentioning

confidence: 71%

“…Respect for the principle of horizontal equity leads, first of all, to considering inequalities linked to healthcare needs as fair. Indeed, respect for human dignity requires that more healthcare be offered to those who need it most, regardless of the causes of the deterioration of their state of health (Fleurbaey & Schokkaert, 2011;Rochaix & Tubeuf, 2009;Schokkaert, 2018;Wagstaff & van Doorslaer, 2000).…”

Section: Fair and Unfair Inequalities In The Non-use Of Healthcarementioning

confidence: 99%

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Risk of Social Exclusion and Resources of Young NEETs

Bonnard¹,

Giret²,

Kossi³

2020

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Section: * * *mentioning

confidence: 71%

Section: Fair and Unfair Inequalities In The Non-use Of Healthcarementioning

confidence: 99%

Risk of Social Exclusion and Resources of Young NEETs

Bonnard¹,

Giret²,

Kossi³

2020

Ecostat

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“…Erreygers' goes from being s-relative to h-relative, while Wagstaff's goes in the opposite direction. This relationship explains the ranking pattern often seen in empirical applications (e.g., Erreygers, 2009b;Fleurbaey and Schokkaert, 2011;Kjellsson and Gerdtham, 2013a). For µ h > 0.5, the absolute and the s-relative indices, on the one hand, and Wagstaff's and the h-relative indices, on the other hand, tend to rank populations similarly.…”

Section: This Position Is Different From What Is Presented By Erreygementioning

confidence: 73%

Lost in Translation: Rethinking the Inequality Equivalence Criteria for Bounded Health Variables

Kjellsson¹,

Gerdtham²

2013

Health and Inequality

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What change in the distribution of a population's health preserves the level of inequality? The answer to the analogous question in the context of income inequality lies somewhere between a uniform and a proportional change. These polar positions represent the absolute and the relative Inequality Equivalence Criterion (IEC), respectively. A bounded health variable may be presented in terms of both health attainments and shortfalls. As a distributional change cannot simultaneously be proportional to attainments and to shortfalls, relative inequality measures may rank populations differently from the two perspectives. In contrast to the literature that stresses the importance of measuring inequality in attainments and shortfalls consistently using an absolute IEC, this paper formalizes a new compromise concept for a bounded variable by explicitly considering the two relative IECs, defined with respect to attainments and shortfalls, to represent the polar cases of defensible positions.We use a surplus-sharing approach to provide new insights on commonly used inequality indices by evaluating the underpinning IECs in terms of how infinitesimal surpluses of health must be successively distributed to preserve the level of inequality. We derive a one-parameter IEC that, unlike those implicit in commonly used indices, assigns constant weights to the polar cases independent of the health distribution.

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“…However, the health determinant variable can also be a continuous individual level social variable, such as income, or a variable with a blend of ‘natural’ and ‘social’ connotations, such as age or disability. More recently a hybrid ‘multivariate’ approach has been proposed, which allows simultaneously for multiple unfair determinants of health inequality (Fleurbaey and Schokkaert 2009, 2011). As Asada explains, the multivariate approach focuses on inequality in the distribution of a single health outcome variable that has been adjusted using multiple health determinant variables, in a ‘fairness standardization’ process that aims to retain all the unjust variation while removing variation that is not unjust.…”

Section: Summary Of the Contentsmentioning

confidence: 99%