Investigating public preferences on ‘severity of health’ as a relevant condition for setting healthcare priorities
Introduction
When setting health policy or planning for the delivery of health care, at a national or devolved decision-making level, there is a need to set priorities when allocating resources. Those involved in making such difficult priority-setting decisions have increasingly explored the notions of fairness and equity to inform the decision making process (e.g. PBAC (Australian Pharmaceutical Benefits Advisory Committee), 2004, Rawlins and Culyer, 2004, NICE(UK National Institute for Health and Clinical Excellence), 2005). Yet there remains considerable ambiguity, and a lack of operational guidance, on what might be meant by fairness and equity (Newdick, 2005). Definitions against these distributive ideals are generally given at an abstract theoretical level (e.g. vertical and horizontal equity), or they are commonly confused with aspirational notions of equality (e.g. equality of health, equality of access according to need) (Sassi et al., 2001, Sen, 2002, Hauck et al., 2003).
One source of guidance, when setting priorities, is the growing literature on the incorporation of distributive preferences when making resource allocation decisions (e.g. whether to fund technology X for patient group Y), especially the empirical literature that examines a range of potential social considerations. This literature includes empirical research to assess, and often quantify, the importance of factors such as patient characteristics, characteristics of health care interventions, and broader societal considerations (e.g. reducing inequalities), when making resource allocation decisions. This type of research has been referred to as ‘empirical ethics’ (Culyer, 2001, Richardson, 2002, Richardson and McKie, 2005), and there have been a number of informative reviews (Sassi et al., 2001, Schwappach, 2002, Dolan et al., 2005, Green, 2007).
In the empirical ethics literature, studies are mostly considering one particular concern for fairness at a time, and contrasting it with prominent efficiency objectives related to cost-effectiveness, and the maximisation of quality-adjusted life-years (QALYs). One such concern for fairness is the consideration of the severity of a health condition (pre-treatment health state). The empirical studies informing the severity of health approach (e.g. Nord, 1993a, Nord, 1993b, Nord et al., 1995, Dolan, 1998, Ubel, 1999, Cookson and Dolan, 1999, Oddsson, 2003, Gyrd-Hansen, 2004), have been widely cited in the health care literature to support a hypothesis that health state values (e.g. QALYs) often fail to capture and represent the nature of public preferences. But, more specifically, they have been used to support a ‘severity hypothesis’ where the basic premise is that the social value of a health improvement (of a given size) is greater the greater the severity of the initial health condition (Nord, 2005).
The severity hypothesis may be a fair reflection of public preferences, and a reasonable approach for setting priorities. But current empirical research in this area, as with almost all notions of distributive preference, comprises studies that are mostly simple experimental studies, often without clear policy implications, and further research is required against a severity of health criterion in the context of a broader range of distributive preferences.
In this paper, as well as considering the empirical support for the use of severity of health as a priority-setting criterion, a further aim is to explore the broader interpretation of the empirical evidence reporting a stated preference to treat those groups regarded as more severely affected by their health status. This latter aim is informed by a recent systematic review of the literature around fairness and equity considerations, in health care priority-setting dilemmas (Green, 2007), covering over 100 empirical studies. This review, in a very diverse and difficult to interpret literature, noted that in many studies respondents favoured the worst-off groups (e.g. those with worse health condition, poorer prognosis, those subject to greater inequality), from a set of groups competing for the same scarce resources. This observation was visible across a range of different study settings (contexts), and in studies employing a range of methodological approaches, with those groups that would be regarded as ‘worst-off’ being given equal or priority-preferences, regardless of their more limited capacity to benefit (e.g. lower health gains). This notion of ‘worse-offness’ has been referred to in the literature (Nord, 2005), but has not been considered directly, in the context of preferences around treatment of those more severely affected by their health. Therefore, one hypothesis explored here is that a preference registered for the more severe of two competing groups in an allocation problem, reflects a preference to treat ‘the worst-off group’. With such a preference reflecting not only a social value to treat severely affected groups (in specific studies), but a broader and general preference for ‘fairness’ in the treatment of worse-off groups. The motivation here is not to disprove the specific hypothesis of a preference for severity in such instances, but to further investigate the meaning of the preferences reported to support a severity of health argument.
Section snippets
Severity of health as a basis for setting healthcare priorities
The empirical ethics literature does provide support for the potential use of severity of health (severity of illness) as a basis for informing healthcare priorities (see above). For example, studies by Nord (1993a) and Ubel (1999) have suggested respondents have a preference to prioritise either equally or in favour of the most severely ill patient groups, regardless of the potential efficiency gains (health output) forgone. These two commonly cited studies are used in the current paper as a
Methods: Empirical study
This study examines the preferences of a sample of the UK general public in the allocation of healthcare resources, where groups competing for limited resources are described using differences in severity of health, and alternatively differences in level of disadvantage. The aims of the study were: (a) to add to the empirical evidence on the role of severity of health in the priority setting debate, using a sample of the general public; (b) to explore a general hypothesis that a preference to
Results
Interviews were completed by 261 respondents. The socio-demographic characteristics of the sample are presented in Table 2. The sample is generally representative of the population in the Southampton City area, being similar in gender, age profile, work status, ethnicity, home ownership, experience of illness/disability, and health status in general (Southampton City Council, 2004). However, the sample includes a higher proportion of retired households, part-time workers, and home workers than
Discussion
This study has elicited the preferences of a sample of the UK general public over healthcare priority setting scenarios. It used a random representative sample, and face-to-face interviews, and it extends the methodology previously reported by Ubel (1999) through the use of alternative descriptions for groups competing for the same healthcare resources. The study adds to the empirical ethics literature, providing insights on the preferences of the public over the use of severity of health as a
Conclusions
This study presents evidence to support the importance of severity of health when allocating health care resources, and the setting of health care priorities. It also provides empirical insights into the interpretation of a commonly reported stated preference, in studies around distributive preferences, to allocate resources equally across competing groups. Findings presented suggest that such a preference may indeed be a true preference for equality rather than respondents avoiding difficult
Acknowledgements
I would like to thank the Ipsos MORI Social Research Institute for undertaking data collection, especially Gregor Jackson. I acknowledge financial support from the Wessex Institute for Health Research and Development, University of Southampton, for funding to undertake data collection. Early versions of this paper have benefited from comments from Dr Karen Gerard, and Professor James Raftery, University of Southampton, and special thanks for helpful comments from Dr Erik Nord, Norwegian
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