A normative foundation for equity‐sensitive health evaluation: The role of relative comparisons of health gains

AuthorJuan D. Moreno‐Ternero,Lars Peter Østerdal
Date01 October 2017
Published date01 October 2017
DOIhttp://doi.org/10.1111/jpet.12233
Received: 12 May2016 Accepted: 2 July 2016
DOI: 10.1111/jpet.12233
ARTICLE
A normative foundation for equity-sensitive health
evaluation: The role of relative comparisons
of health gains
Juan D. Moreno-Ternero1Lars Peter Østerdal2
1UniversidadPablo de Olavide, and CORE, Uni-
versitécatholique de Louvain
2Universityof Southern Denmark
JuanD. Moreno-Ternero,Department of
Economics,Universidad Pablo de Olavide,
andCORE, Université catholique de Louvain
(jdmoreno@upo.es).
LarsPeter Østerdal, Department of Economics,
CopenhagenBusiness School, Porcelæn-
shaven16A, 2000 Frederiksberg, Denmark
(lpo.eco@cbs.dk).
Anearlier version of this work circulated under
thetitle “Normative foundations for equity-
sensitivepopulation health evaluation.” We thank
JensLeth Hougaard, Erik Schokkaert and the
anonymousreferees of this journal for helpful
commentsand suggestions. We also thank partici-
pantsat the World Congress in Health Economics
(Dublin),the Workshop on New Trends in Health
EquityResearch (Odense), and the Health Eco-
nomicsWorkshop (Alicante), as well as seminar
audiencesat the University of Glasgow, the Public
Universityof Navarra, and the ToulouseSchool
ofEconomics for their comments. Financial sup-
portfrom the Spanish Ministry of Economics and
Competitiveness(ECO2011-22919, ECO2014-
57413-P),the Andalusian Department of Econ-
omy,Innovation and Science (SEJ-5980), and
theDanish Council for Independent Research |
SocialSciences (Grant ID: DFF–6109–000132) is
gratefullyacknowledged.
We explore in this paper the relationship between equity-sensitive
population health evaluation measures and normative concerns for
relative comparisons of health gains. Such a relationship allows us
to characterize focal equity-sensitive models for the evaluation of
population health. Instances are the so-called multiplicative Quality
Adjusted Life Years(QALYs) and multiplicativeHealthy Years Equiv-
alents (HYEs), as well as generalizations of the two. Our axiomatic
approach assumes social preferences overdistributions of individual
health states experienced in a given period of time. It conveysinfor-
mational simplicity,as it does not require information about individ-
ual preferences on health.
1INTRODUCTION
It is frequently argued that the benefit a patient derives from a particular health care interventionis defined according
to two dimensions: quality of life and quantity of life (e.g., Pliskin, Shepard, & Weinstein, 1980). The so-called Quality
Adjusted Life Years (in short, QALYs) constitute the standard currency to deal with both health dimensions in the
methodology of cost–utility analyses, probably the most widely accepted methodology in the economic evaluation
Journal of Public Economic Theory.2017;19:1009–1025. wileyonlinelibrary.com/journal/jpet c
2017 Wiley Periodicals,Inc. 1009
1010 MORENO-TERNERO AND ØSTERDAL
of health care nowadays (e.g., Drummond, Sculpher, Torrance, O'Brien, & Stoddart, 2005). Nevertheless, addition
of QALYs is usually criticized on equity grounds (e.g., Harris, 1987; Smith, 1987) and the importance of considering
alternative (equity-sensitive) measures of population health in cost–utility analyses is widely accepted (e.g., Anand,
2003; Nord, 1999; Wagstaff,1991; Williams, 1997).1
The purpose of this paper is to explorethe relationship between equity-sensitive population health evaluation mea-
sures and normative concerns for relativecomparisons of health gains. To do so, we follow the new axiomatic approach
to the evaluation of population health, recently introduced by Hougaard, Moreno-Ternero, and Østerdal (2013a). In
such an approach, the health of an individual in the population is defined according to the two dimensions mentioned
above (quality of life and quantity of life). Quantity of life is given by number of life years, while no assumptions are
made on how quality of life is described. The approach is informationally simple, as it does not makeassumptions about
individual preferences over length and quality of life, which might not be available information, either for practical or
ethical reasons.2This is in contrast with the more standard approach to population health evaluation, where cardinal
individual health utilities are assumed to be available as the basic input of the model (e.g., Bleichrodt, 1997; Dolan,
1998), or where structured individual preferences for quality and quantity of life, implying QALY-like individual utility
functions, are assumed to exist (e.g., Harvey& Østerdal, 2010; Østerdal, 2005). We here, instead, address population
health evaluation grounding directly on normative concerns oversocial preferences (on health gains).
One of the equity-sensitive population health evaluation functions for which we provide normative foundations is
the so-called multiplicative QALYs function, which evaluates the health of a population by the product of the QALYs
each individual in the population is endowed with. Multiplicative forms of the QALY model have been frequently
endorsed in the literature (e.g., Bleichrodt, 1997; Dolan, 1998). A multiplicative form induces an obvious concern for
equity, because it penalizes uneven distributions of QALYs,whereas an additive form is not sensitive to such uneven
distributions.3
QALYs can be seen as a specific computation of the so-called Healthy YearsEquivalent (in short, HYEs), which refer
to the socially equivalent population health distribution to a given one, in which the health outcome of one (and only
one) agent is replaced by that of full health, for some quantity of time.4The additive HYE model evaluates population
health by means of the unweighted sum of HYEs. As such, it is subject to the same criticism, on equity grounds, of its
counterpartadditive QALY model. Wealso derive in this paper normative foundations for the multiplicative HYE model
in which the health of a population is evaluatedby the product of the HYEs each individual in the population is enjoying.
One might argue that, for large populations, a multiplicative evaluation function might be too equity–sensitive.For
that reason, we also derive normative foundations for two families of population health evaluation functions, each
generalizing the multiplicative QALY and HYE models, respectively. In such families, individual QALYs (respectively,
HYEs) are submitted to an arbitrary (but increasing) function before being added. When such a function is logarithmic,
we recover,precisely, the multiplicative QALY(respectively, HYE) model.
Another focal contribution within the health economics literature to developequity-sensitive forms of evaluating a
distribution of health is the so-called fair innings notion (e.g., Williams, 1997). Essentially,the notion reflects the feeling
that everyoneis entitled to some normal span of health. In some sense, one could consider that the multiplicative QALY
and HYE models characterized in this paper are implementing a variant of the fair innings notion: they both aim to give
afair number (actually, the average) of QALYs, or HYE, to each person. Nevertheless, one might also argue that the
fair innings notion is captured by Williams (1997) upon endorsing a Bergsonian functional form to evaluate the health
distribution of a population. We shall also derive normative foundations for such functional forms in this paper.
1For discussions on the related issue of the conceptual foundations of measuring (in)equality in health and health care, the reader is referred to Wagstaff
andvan Doorslaer (2000), Williams and Cookson (2000),and, more recently, Fleurbaey and Schokkaert (2012) and Hougaard, Moreno-Ternero,and Østerdal
(2013b).
2See, for instance, Dolan (2000) and Dolan and Kahneman (2008) for a discussion of the numerous conceptual and empirical challenges concerning the esti-
mationand interpretation of individual health utility.
3This isarguably the main reason whythe United Nations Development Programme unveiled a new methodology for the calculation of the so-called Human
DevelopmentIndex (e.g., Zambrano, 2013).
4Thisnotion can be traced back to Mehrez and Gafni (1989) who propose it as a plausible way to reflect a patient's preferences over health.

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