Health inequality aversion parameters are used in distributional cost-effectiveness analysis, direct equity-based weighting to reflect societal preferences for improving total health (“efficiency”), and reducing health inequality between more and less socially advantaged groups (“equity”). We elicited a health inequality aversion parameter for the US population.
We adapted a benefit trade-off (BTO) instrument used in a UK study. Participants comprised the adult general public from June to December 2023. The online survey comprised (1) demographics and health views questions, (2) instructional videos, and (3) BTO exercise. The BTO asked participants to trade off quality-adjusted life expectancy from the better-off to worse-off quintiles of the US population, described by indicators of social vulnerability. Response patterns were classified into 15 ranks with corresponding inequality aversion parameters and implied equity weights.
Among 1864 complete responses, inequality aversion was assessed for 1290 participants. The sample approximated US Census data for gender, race/ethnicity, and income. The median Atkinson parameter was 12.12, the corresponding equity weight was 6.7, and 88% were willing to trade off total health to reduce health inequality. Multivariable regression indicated no significant subgroup variation in trade-off responses by age or region; however, lower income groups and ethnic minority groups were slightly more averse to health inequality.
The inequality aversion statistics derived from this sample illustrate support for more robust and routine integration of equity concerns into healthcare decisions in the policy and health technology assessment arenas to advance distributional cost-effectiveness analysis in the United States.
What is it about? The study explores the public's willingness in the United States to trade overall health improvements for reducing inequalities between socially advantaged and disadvantaged groups. This topic is significant because it addresses societal preferences for fairness in health outcomes. Researchers sought to understand how much people are willing to compromise on total health gains to achieve more equitable health distribution. There was a lack of specific data on health inequality preferences in the United States, which this study aimed to fill. The paper suggests incorporating public preferences into healthcare decision making may better align policies with societal values. The central contribution of this study is quantifying the US public's aversion to health inequality, providing a basis for policy and assessment frameworks.
How was the research conducted? The study used a benefit trade-off method, a technique that asks participants to make choices between different health interventions affecting various social groups. This method was adapted from a similar UK study and applied through an online survey targeting the US adult public. Researchers conducted an exercise asking participants to decide how to distribute health improvements between better-off and worse-off groups. The method involved analyzing survey responses to estimate inequality aversion parameters. The study focused on the US adult population, aiming to reflect the general public's preferences. This method was chosen for its ability to quantify preferences in a structured manner.
What were the results? The main finding was that 88% of participants were willing to trade some overall health gains to reduce health inequality, indicating a strong preference for equity. The median inequality aversion parameter was found to be 12.12, suggesting that health improvements for disadvantaged groups were valued 6 to 7 times more than for advantaged groups. An unexpected finding was that there was no significant variation in trade-off responses by age or region, but lower-income and ethnic minority groups showed slightly higher aversion to inequality.
Why are the results important? These findings demonstrate that the US public values health equity. These results are crucial for health technology assessment agencies and other healthcare decision makers, indicating a need to integrate equity considerations into their analyses. In practice, this could lead to healthcare policies that prioritize health improvements for disadvantaged groups. Those who stand to benefit specifically are individuals in socially vulnerable positions, as the findings support efforts to reduce health disparities. In the long term, these results could influence future healthcare policies to better reflect societal values regarding fairness and equity.
What are the strengths and weaknesses of this study? A key strength of this study is its adaptation of an established method to a new context, providing reliable data on US public preferences. However, a limitation is the potential bias introduced by using an online format, which may not fully capture the diversity of the US population. Future research could expand by exploring preferences using other methods or in different settings to validate these findings and address potential biases.
Note: This content was created with assistance from artificial intelligence (AI) and has been reviewed and edited by ISPOR staff. For more information or for inquiries on ISPOR’s AI policy, click here or contact us at info@ispor.org.