As we have been discussing in class there are two ways to approach healthcare policies rooted in beneficence: utilitarianism which aims to create policies that do the most good for the greatest amount of people versus libertarianism which aims to create policies that maximize individual choice. Within the approach of utilitarianism there is an economic component known as Cost-Effectiveness Analysis (CEA) which “measures the benefits in nonmonetary terms, such as years of life, quality-adjusted life-years, or cases of disease,” (Beauchamp and Childress 231) in order to better understand the different values of outcomes for all patients. Within CEA, one of the ways to help decide which patients should be saved or which medical treatments to utilize, healthcare professionals have measured HALYs, health-adjusted life-years, which combine longevity of life with health status. Specific types of HALYs are QALYs, quality-adjusted life-years which “are calculated by estimating the year of life remaining for a patient following a particular pathway and weighting each year with a quality of life score” (Beauchamp and Childress 239). Thus, what this means is in situations where physicians are trying to determine which path of medical treatment to use, they incorporate the calculation of QALYs to figure out which treatment will not only give the patient the longest life possible but also the best quality of life.
Although the main goal of QALYs is to bring good to the greatest amount of people, there are some challenges and problems that accompany these calculations. First of all, QALYs require the measurement of quality of life which is a discussion that was brought up earlier in class which highlighted that there are many different interpretations of quality of life so it can be difficult to standardize such measurements. Despite this challenge, “analysts start with rough measures, such as physical mobility, freedom from pain and distress, and the capacity to perform the activities of daily life and to engage in social interactions” (Beauchamp and Childress 239). Secondly, as QALYs are used to create public health policies it is important that the notion of egalitarianism is maintained that way “each healthy life-year is equally valuable for everyone” (Beauchamp and Childress 240).
Lastly, the concept of Rule of Rescue which according to David Hadorn is “people’s perceived duty to save endangered life whenever possible” directly conflicts with QALYs since this rule demands out of beneficence that all lives should be saved if possible while QALYs limit that to saving only those who will have better outcomes. An interesting idea brought up by Shepley Orr and Jonathan Wolff in their article is that of a “rescue-adjusted QALY.” In their article, they propose the idea that when QALYs are calculated there would be an “additional value of rescue [where] rescue could be given extra weight in our calculations but not the apparent absolute weight called for by adherents of the rule of rescue” (Orr and Wolff 531). According to this idea, both the principle of beneficence and the concept of QALY policy would be better served by incorporating the element of rescue to the measurement of outcomes. This would enable beneficence to be more easily recognizable since the act of doing good through physical rescue would become pronounced. Also, the QALY policy side of the situation would also be represented since this adaption would not be removing the calculations of life-years or the quality life of those life-years but rather adding an extra component to be considered.
Work Cited:
Beauchamp, Tom L., and James F. Childress. Principles of Biomedical Ethics. New York, NY: Oxford University Press, 2001.
Orr, Shepley, and Jonathan Wolffe. “Reconciling Cost-Effectiveness with the Rule of Rescue: the Institutional Division of Moral Labour,” Theory and Decision. http://link.springer.com/article/10.1007/s11238-014-9434-3