Related Experiment Video
Updated: Aug 8, 2026

10:00
Measurement of Lifespan in Drosophila melanogaster
Published on: January 7, 2013
QALYfying the value of life
1Centre for Social Ethics and Policy, University of Manchester.
Journal of Medical Ethics
|September 1, 1987
Summary
The Quality Adjusted Life Year (QALY) metric is fundamentally flawed for healthcare resource allocation and priority setting. This paper critiques QALYs and proposes alternative ethical frameworks for managing scarce health resources.
Area of Science:
- Health Economics
- Bioethics
- Public Health Policy
Background:
- The Quality Adjusted Life Year (QALY) is a widely used metric for health-related quality of life.
- QALYs are instrumental in healthcare priority setting and resource allocation decisions.
- Concerns exist regarding the ethical implications and practical limitations of QALY-based assessments.
Purpose of the Study:
- To critically evaluate the Quality Adjusted Life Year (QALY) as a tool for healthcare priority setting.
- To demonstrate the inherent flaws in using QALYs for allocating scarce health resources.
- To propose an alternative ethical framework for health resource allocation and a revised perspective on health budgeting.
Main Methods:
- Conceptual analysis of the QALY metric.
- Ethical critique of resource allocation principles.
- Development of an alternative moral framework for health budgeting.
Main Results:
- The paper argues that QALYs are fatally flawed for healthcare priority setting.
- Identifies fundamental ethical and practical shortcomings of the QALY approach.
- Presents a novel view on the moral constraints governing health resource allocation.
Conclusions:
- QALYs should not be the sole basis for healthcare priority setting due to inherent flaws.
- An alternative ethical framework is necessary for equitable and just allocation of scarce health resources.
- A re-evaluation of attitudes towards health budgets is recommended to reflect broader moral considerations.
Keywords:
Health Care and Public HealthRelated Concept Videos
Life Histories
Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
Critical Values
A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
Critical Region, Critical Values and Significance Level
The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the test...
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the test...
Decision Making: P-value Method
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Ethical Dilemmas II
Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
Kaplan-Meier Approach
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...

