Hostname: page-component-745bb68f8f-g4j75 Total loading time: 0 Render date: 2025-02-06T19:11:34.979Z Has data issue: false hasContentIssue false

Making fair choices on the path to universal health coverage: a précis

Published online by Cambridge University Press:  10 February 2015

Alex Voorhoeve*
Affiliation:
Philosophy, Logic, and Scientific Method, London School of Economics, UK
Trygve Ottersen
Affiliation:
Department of Global Public Health and Primary Care, University of Bergen, Norway
Ole F. Norheim
Affiliation:
Department of Global Public Health and Primary Care, University of Bergen, Norway
*
*Correspondence to: Alex Voorhoeve, Philosophy, Logic, and Scientific Method, London School of Economics, UK. Email: a.e.voorhoeve@lse.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

We outline key conclusions of the World Health Organisation's report 'Making Fair Choices on the Path to Universal Health Coverage (UHC)'. The Report argues that three principles should inform choices on the path to UHC: I. Coverage should be based on need, with extra weight given to the needs of the worse off; II. One aim should be to generate the greatest total improvement in health; III. Contributions should be based on ability to pay and not need. We describe how these principles determine which trade-offs are (un)acceptable. We also discuss which institutions contribute to fair and accountable choices.

Type
Special Section
Copyright
© Cambridge University Press 2015 

1. Background and aims

Universal Health Care (UHC) is high on the global agenda and on many countries’ national agendas (WHO, 2010; Lagomarsino et al., Reference Lagomarsino, Garabrant, Adyas, Muga and Otoo2012). The World Health Organisation (WHO) has defined UHC as ‘all people receiving quality health services that meet their needs without being exposed to financial hardship in paying for them’ (WHO, 2013). This definition leaves room for interpretation. On our understanding, given resource constraints, UHC does not require that all possibly effective services are provided to everyone. Rather, UHC requires that a comprehensive range of services, well-aligned with other social goals, is available to all at bearable cost.

The compelling case for UHC as a goal derives from the value of fairness (or equity). This value is also critical on the path to that goal. Motivated by this insight, and as part of the response to requests from more than 70 countries for support and advice for UHC reform, the WHO set up a Consultative Group on Equity and Universal Health Coverage in 2012. The group consisted of philosophers, economists, health policy experts and clinical doctors of 12 nationalities. The group’s report, Making Fair Choices on the Path to Universal Health Coverage, was published in May 2014 (WHO, 2014b).

The Report aims to clarify issues of fairness that arise on the path to UHC. It also offers recommendations for how countries can address them. It is premised on the fact that decision makers face (sometimes severe) resource constraints. It aims to outline acceptable ways to proceed given these restrictions. (This does not imply that the constraints themselves are justified – in many countries, there is a strong case for mobilizing more internal and external resources (Røttingen et al., Reference Røttingen, Otttersen, Ablo, Arhin-Tenkorang, Benn, Elovainio, Evans, Fonseca, Frenk, McCoy, McIntyre, Moon, Ooms, Palu, Rao, Sridhar, Vega, Wibulpolprasert, Wright and Yang2014).) Of course, what a decision maker can implement may be determined by factors other than resource constraints, such as political limitations imposed by the interests of particular groups. In such cases, the Report can play a twofold role. First, it can help evaluate the fairness of the policies favoured by such interest groups. Second, it can provide guidance on how to choose from the set of options that remain feasible given the joint operation of resource and political constraints. (We imagine that of these two roles, the latter will be most helpful to policy makers.)

In recognition of these feasibility constraints, variations in local context and the diverse values that should determine policy choice, the Report takes a pluralist, comparative and incremental approach to policy evaluation (Sen, Reference Sen2009).

2. Critical choices and guiding principles

To achieve UHC, countries must expand priority services, include more people, and reduce out-of-pocket payments. In doing so, they confront critical choices:

  1. i. Which services to expand first?

  2. ii. Whom to include first?

  3. iii. How to shift from out-of-pocket payment towards prepayment?

The Report argues that the following principles should play a central role in making these choices:

  1. I. Fairness in coverage and service provision: coverage and use should be based on need; extra weight should be given to the needs of the worse off.

  2. II. Benefit maximization: one aim should be to generate the greatest sum of health-related well-being in a given population.

  3. III. Fair contribution: contributions should be based on ability to pay and not need.

In what follows, we outline the Report’s recommendations, which draw on these principles.

3. Which services to expand first?

The Report advises sorting health services into three priority tiers: high, medium and low. It proposes to accomplish this by first creating a partial classification on the basis of cost-effectiveness (defined as cost per healthy life year), and then rendering the classification more complete by an appeal to other principles. Of central importance among these are improving the situation of the worse off and financial risk protection. Box 1 illustrates this procedure.

Box 1 Application of the procedure to hypothetical cases in Kenya.

Using regional or developing-country estimates of cost-effectiveness and national income data for Kenya, four services (A, B, C and D) have been placed on a scale denoting cost per healthy life year in multiples of GDP per capita (Teerawattananon, et al. Reference Teerawattananon, Mugford and Tangcharoensathien2007; WHO, 2014a). The arrows indicate which priority class the services are initially associated with. Green, yellow and red arrows are associated with high, medium and low priority, respectively. A service located in an overlapping interval needs further assessment against other criteria. (The exact cut-offs between classes in the figure are illustrative only and need to be determined within each country.) With cut-offs established, the decision maker may reason as follows.

Cost per healthy life year in multiples of GDP per capita

A: Tuberculosis diagnosis and treatment

Costing <10% of GDP per capita per healthy life year, this is a high-priority service.

B: Traffic safety regulation

At a cost of 80% of GDP per capita per healthy life year, this falls in a region where cost-effectiveness alone is not determinative. Assessment against additional criteria is therefore required. Priority to the worse off is relevant here, as traffic accidents often cut down people in their youth (Murray et al., Reference Murray, Ezzati, Flaxman, Lim, Lozano, Michaud, Naghavi, Salomon, Shibuya, Vos, Wikler and Lopez2012). We would therefore expect the service to receive high priority.

C: Treatment for mild asthma

Costing 149% of GDP per capita per healthy life year, treatment for mild asthma is only just within a range in which cost-effectiveness alone is not determinative. Moreover, the typical disease burden is moderate (Murray et al., Reference Murray, Ezzati, Flaxman, Lim, Lozano, Michaud, Naghavi, Salomon, Shibuya, Vos, Wikler and Lopez2012). In order to be placed in the high-priority category, it would therefore have to score especially well on additional criteria, such as financial risk protection.

D: Dialysis for renal failure

Costing >30 times the GDP per capita per healthy life year, dialysis falls in the low-priority category. Money spent on dialysis could save 300 times as many healthy life years if spent on tuberculosis control.

There are several reasons for using such a procedure. Cost-effectiveness is strongly linked to maximizing the sum-total of health gained in a population, which should be a key (though not the only) policy objective. For a given budget, prioritizing services by cost-effectiveness provides the greatest health improvement. Moreover, there is extreme variability between health services: the cost-effectiveness of interventions in the WHO Choice database, for example, is spread over four orders of magnitude (WHO, 2014a). A failure to prioritize on cost-effectiveness can therefore imply forgoing large health gains. Moreover, focusing on the expansion of highly cost-effective services will often disproportionately benefit the poor. Nonetheless, there are cases in which pursuing only maximal cost-effectiveness would come at a cost to the worst off (for example, because providing services to poor, remote areas is more expensive) or to financial risk protection. In such cases, the procedure permits concern for the worse off or for financial risk protection (and other relevant concerns) to determine into which priority class a service should fall. The Report does not specify exactly how much weight should be assigned to each of the relevant concerns, rather stressing that many ways of weighing these concerns may be reasonable. Nonetheless, it is clear from Box 1 that the Report envisions that concerns for properties other than cost-effectiveness may be given considerable weight. Moreover, it argues that certain ways of weighing competing values are (im)plausible. (For example, it argues that since for a given individual, it is plausibly worse to die than to become impoverished, in a trade-off between lives saved and financial risk protection, one should favour saving a life over averting one case of poverty; see Box 3.2 in the Report.) It also describes processes of and institutions for priority setting. Once sufficient progress has been made in classifying services, the Report argues that (near) universal coverage for high-priority services should be at the top of countries’ lists.

4. Whom to include first?

In many countries, progress towards this aim must take place against a background of significant coverage gaps, especially among the poor, rural populations and groups marginalized due to race, gender or social status. For example, in Ethiopia in the five-year period up to 2011, the proportion of live births attended by skilled health personnel was 10%. Moreover, there were clear social and geographical differences: in the lowest wealth quintile, 2% of all births were attended by a skilled provider, as opposed to 46% in the highest wealth quintile; in the rural population, attendance was 4%, whereas in the urban population, this was 51% (Central Statistical Agency, 2012).

In expanding coverage for such high-priority services against a backdrop of inequality, the Report argues that disadvantaged groups should get extra weight in policy formulation. This implies that an expansion of such services to an underserved poor and rural population should take priority over an expansion to a well-off, urban population, at least where other things are roughly equal.

5. How to shift from out-of-pocket payments to prepayment?

In countries without UHC, many face a risk of catastrophic health service payments. To use the example of Ethiopia again, in recent years, nearly a quarter of the Ethiopian population have faced annual health care payments of >40% of non-food expenditure (World Bank, 2014). A shift from out-of-pocket payment to mandatory prepayment with pooling of funds can alleviate these risks. When making this shift, the Report argues that countries should first reduce out-of-pocket payments for high-priority services. This is because such payments are barriers to access for these services, the provision of which is of primary importance for reasons related to health benefits, costs, the situation of the worst off and financial risk protection. At the same time, countries should strive to make prepayments depending on ability to pay. Together, these two moves help ensure that everyone has affordable access to the most important services based on need.

In some environments, the latter goal may be difficult to achieve. For example, a lack of reliable income data for individuals in the informal sector is cited by Dr Addis Tamire Waldemariam as a reason for the 2014 Ethiopian decision to make enrolment for informal sector, community-based health insurance subject to a flat fee (from which the very poorest are exempted) (Tamire Woldemariam, 2015). Nonetheless, a fully progressive prepayment system should remain a goal. Rwanda, which started with a flat fee for community-based insurance and then, with donor subsidies, moved to an income-dependent fee, indicates that advance towards this aim may be possible (Kalk et al., Reference Kalk, Groos, Karasi and Girrbach2010).

6. Unacceptable ways of making trade-offs

There is no single right path to UHC. However, the Report argues that some ways of making trade-offs are generally unacceptable (inconsistent with the principles outlined). They include the following:

  • Choosing to expand coverage for low- or medium-priority services before there is near-universal coverage for high-priority services.

  • Choosing to give high priority to very costly services whose coverage will provide substantial financial risk protection when the health benefits are small compared with alternative, less costly services.

  • To expand coverage only for formal sector workers and others with the ability to pay and not include informal workers and the poor, when it is feasible to simultaneously expand coverage for the latter.

In some settings, political pressures to make such choices may exist, even though they are typically unfair. However, experience indicates that progress can be made while avoiding such unfairness. For example, by simultaneously expanding a formal-sector insurance plan and scaling up community-based health insurance for the informal sector, Ethiopia is aiming to make progress for disadvantaged groups as well as for the better off.

7. Accountability

When pursuing UHC, reasonable decisions and their enforcement can be facilitated by robust public accountability and participation mechanisms. The Report advocates institutionalization of these mechanisms. Institution-building of this kind is challenging, but the Report outlines many strategies that can be pursued, and it provides examples of countries that have made progress. For example, it emphasizes how accountability and participation can be strengthened through a standing national committee on priority setting and how the design of this and other institutions can be informed by the Accountability for Reasonableness framework (Daniels and Sabin, Reference Daniels and Sabin2008). Moreover, the Report highlights how a strong system for monitoring and evaluation can promote accountability and the effective pursuit of UHC.

8. Conclusion

The Report proposes a three-part strategy for countries seeking fair progressive realization of UHC:

  1. a. Categorize services into priority classes. Relevant criteria include cost-effectiveness, improving the lot of the worse off and financial risk protection.

  2. b. First expand coverage for high-priority services to everyone. This includes eliminating out-of-pocket payments while increasing mandatory, progressive prepayment with pooling of funds.

  3. c. While doing so, ensure that disadvantaged groups are not left behind.

The Report also recommends that countries set up systems to monitor results and design institutions that can help strengthen public accountability and participation.

As members of the Consultative Group, we hope that this guidance will assist countries in moving towards UHC. We also hope that our arguments will stimulate debate about the difficult choices that arise on the path to that goal.

Acknowledgements

The authors thank Michael Gusmano and Albert Weale for comments. The Report is the joint work of Trygve Ottersen (lead author and member of the consultative group), Ole F. Norheim (lead author and member of the consultative group), Bona M. Chitah (member of the consultative group), Richard Cookson (member of the consultative group), Norman Daniels (member of the consultative group), Frehiwot B. Defaye (member of the consultative group), Nir Eyal (member of the consultative group), Walter Flores (member of the consultative group), Axel Gosseries (member of the consultative group), Daniel Hausman (member of the consultative group), Samia A. Hurst (member of the consultative group), Lydia Kapiriri (member of the consultative group), Toby Ord (member of the consultative group), Andreas Reis (WHO staff), Ritu Sadana (WHO staff), Carla Saenz (WHO staff), Shlomi Segall (member of the consultative group), Gita Sen (member of the consultative group), Tessa T.T. Edejer (WHO staff), Alex Voorhoeve (member of the consultative group), Daniel Wikler (member of the consultative group) and Alicia E. Yamin (member of the consultative group).

References

Central Statistical Agency (2012), Ethiopia Demographic and Health Survey 2011, Addis Ababa, Ethiopia: Central Statistical Agency.Google Scholar
Daniels, N. and Sabin, J. E. (2008), Setting Limits Fairly: Learning to Share Resources for Health, 2nd edn. Oxford: Oxford University Press.Google Scholar
Kalk, A., Groos, N., Karasi, J. C. and Girrbach, E. (2010), ‘Health systems strengthening through insurance subsidies: the GFATM experience in Rwanda’, Tropical Medicine and International Health, 15(1): 9497.Google ScholarPubMed
Lagomarsino, G., Garabrant, A., Adyas, A., Muga, R. and Otoo, N. (2012), ‘Moving towards universal health coverage: health insurance reforms in nine developing countries in Africa and Asia’, Lancet, 380(9845): 933943.Google Scholar
Murray, C. J. L., Ezzati, M., Flaxman, A. D., Lim, S., Lozano, R., Michaud, C., Naghavi, M., Salomon, J. A., Shibuya, K., Vos, T., Wikler, D. and Lopez, A. D. (2012), ‘GBD 2010: design, definitions, and metrics’, Lancet, 380(9859): 20632066.CrossRefGoogle ScholarPubMed
Røttingen, J. A., Otttersen, T., Ablo, A., Arhin-Tenkorang, D., Benn, C., Elovainio, R., Evans, D. B., Fonseca, L. E., Frenk, J., McCoy, D., McIntyre, D., Moon, S., Ooms, G., Palu, T., Rao, S., Sridhar, D., Vega, J., Wibulpolprasert, S., Wright, S. and Yang, B. M. (2014), Shared Responsibilities for Health: A Coherent Global Framework for Health Financing Final Report of the Centre on Global Health Security Working Group on Health Financing London: Chatham House.Google Scholar
Sen, A. (2009), The Idea of Justice, Cambridge, MA: Harvard University Press.Google Scholar
Tamire Woldemariam, A. (2015), ‘The administrator’s perspective’, Health Economics, Policy and Law, this issue.Google Scholar
Teerawattananon, Y., Mugford, M. and Tangcharoensathien, V. (2007), ‘Economic evaluation of palliative management versus peritoneal dialysis and hemodialysis for end-stage renal disease: evidence for coverage decisions in Thailand’, Value in Health, 10(1): 6172.Google Scholar
WHO (2010), The World Health Report 2010. Health Systems Financing: The Path to Universal Coverage, Geneva: World Health Organization.Google Scholar
WHO (2013), Universal Health Coverage: Supporting Country Needs, Geneva: World Health Organization.Google Scholar
WHO (2014a), Cost effectiveness and strategic planning (WHO-CHOICE). http://www.who.int/choice/cost-effectiveness/en/ [28 April 2014].Google Scholar
WHO (2014b), ‘Making Fair Choices on the Path to Universal Health Coverage’, Final Report of the WHO Consultative Group on Equity and Universal Health Coverage, Geneva.Google Scholar