Identifying and Valuing the Injury in Lost Chance Cases
Author(s) -
Todd S. Aagaard
Publication year - 1998
Publication title -
michigan law review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.41
H-Index - 51
eISSN - 1939-8557
pISSN - 0026-2234
DOI - 10.2307/1290180
Subject(s) - law and economics , economics , psychology , actuarial science
Any plaintiff seeking to recover in tort must prove that the defendant has breached the duty of care.' Even after the plaintiff has established the defendant's breach of duty, however, issues of causation and damages remain.2 These two issues are frequently vexing, both conceptually and in terms of evidentiary demonstration. For example, if a plaintiff proves that a defendant acted negligently, it still may be unclear whether the plaintiff would have been injured even in the absence of the defendant's negligence. Similarly, in assessing damages, factfinders often find it difficult to attach a monetary value to a plaintiff's nonpecuniary losses such as pain and suffering. So-called "loss of chance" cases medical-malpractice cases in which a defendant's negligence injures a plaintiff who has a preexisting medical condition by reducing the plaintiff's likelihood of recovering from the condition pose a particularly difficult challenge to courts seeking to define the scope of and place a value on a defendant's liability.3 According to traditional tort doctrine, in such cases the plaintiff must prove that the decreased likelihood of recovery attributable to the defendant's negligence as opposed to the preexisting condition itself more likely than not directly caused her subsequent failure to recover.4 A person suffering from a preexisting condition with less than a fifty-percent chance of recovery even before diagnosis thus would have no cause of action against a doctor who negligently failed to diagnose the condition, even if the delay brought about by the missed diagnosis caused the person to lose a significant chance of recovering from the condition.5 For example, a person with a thirty-five percent chance of
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