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. 2018 Feb 1;33(suppl_1):i24-i30.
doi: 10.1093/heapol/czx017.

Allocating external financing for health: a discrete choice experiment of stakeholder preferences

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Allocating external financing for health: a discrete choice experiment of stakeholder preferences

Karen A Grépin et al. Health Policy Plan. .

Abstract

Most donors of external financing for health use allocation policies to determine which countries are eligible to receive financial support and how much support each should receive. Currently, most of these policies place a great deal of weight on income per capita as a determinant of aid allocation but there is increasing interest in putting more weight on other country characteristics in the design of such policies. It is unclear, however, how much weight should be placed on other country characteristics. Using an online discrete choice experiment designed to elicit preferences over country characteristics to guide decisions about the allocation of external financing for health, we find that stakeholders assign a great deal of importance to health inequalities and the burden of disease but put very little weight on income per capita. We also find considerable variation in preferences across stakeholders, with people from low- and middle-income countries putting more weight on the burden of disease and people from high-income countries putting more weight on health inequalities. These findings suggest that stakeholders put more weight on burden of disease and health inequalities than on income per capita in evaluating which countries should received external financing for health and that that people living in aid recipient may have different preferences than people living in donor countries. Donors may wish to take these differences in preferences in mind if they are reconsidering their aid allocation policies.

Keywords: Development assistance for health; discrete choice; health policy; health politics; priority setting.

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Figures

Figure 1.
Figure 1.
Example of one of the choice sets presented to stakeholders
Figure 2.
Figure 2.
Predicted probabilities for full and split samples

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