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How Should We Model Rare Disease Allocation Decisions?
Author(s) -
JOHN LONDON ALEX
Publication year - 2012
Publication title -
hastings center report
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.515
H-Index - 63
eISSN - 1552-146X
pISSN - 0093-0334
DOI - 10.1002/hast.3
Subject(s) - resource allocation , economic justice , health care , frame (networking) , operations research , economics , business , public economics , computer science , microeconomics , economic growth , management , telecommunications , engineering
When health budgets are insufficient to provide care for all, allocating resources to treat a person with a rare and expensive disorder entails that we cannot treat at least one person with a more common, less expensive disorder. Since any allocation scheme will entail such trade‐offs, how should prudent policy‐makers, concerned about justice and fairness, allocate their community's health resources? In their article in this issue of the Hastings Center Report, Emily Largent and Steven Pearson frame this problem as a conflict between the “rule of rescue” and utilitarian allocation schemes that try to maximize the benefits produced by a given budget. In his article, Norman Daniels discusses the related problem of the “identified victim bias.” I doubt that the problem of crafting an equitable health policy regarding orphan diseases maps onto either of these factors in a way that sheds light on the key moral issues .

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