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Estimating Hospital-Related Deaths Due to Medical Error: A Perspective From Patient Advocates

医学 患者安全 代理(哲学) 医疗保健 不利影响 未遂事故 医疗急救 质量(理念) 入射(几何) 样品(材料) 急诊医学 经济增长 哲学 经济 化学 工程类 内科学 物理 光学 认识论 法律工程学 色谱法
作者
Kevin T. Kavanagh,Daniel M. Saman,Rosie Bartel,Kim Westerman
出处
期刊:Journal of Patient Safety [Lippincott Williams & Wilkins]
卷期号:13 (1): 1-5 被引量:45
标识
DOI:10.1097/pts.0000000000000364
摘要

Abstract The authors present a viewpoint regarding the quality of data used in estimating the number of preventable hospital deaths in the United States. Data derived from countries with a nationalized healthcare system with well-defined and near uniform implementation of standards may not be applicable to the fragmented noncentralized delivery system found in the United States. Although U.S. studies evaluating preventable mortality have based their projections on a small sample size, it is unlikely that this observation is due to chance, because other studies evaluating adverse events, a precursor to preventable mortality, have a much larger sample size and also report an unacceptably high number of events. In addition, although these estimates involved adult and Medicare-eligible patients who may have a higher incidence of events and create a bias, but they also did not capture all events, taken into account of mortality, which occurs after hospitalization or from misdiagnoses. It is also important not to mitigate adverse events in patients whose death is imminent. Medicine does not have the moral authority to place differing values on days, weeks, or years of life. The contention that there are approximately 200,000 preventable hospital-related deaths each year in the United States is not unreasonable. Not all hospital systems in the United States make the same investment in patient safety. Recently, the Agency for Healthcare Research & Quality has demonstrated a decline in adverse events in hospitals, but until uniform implementation of safety standards takes place, our healthcare system as a whole may well lag behind other industrialized nations.
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