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The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II

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TLDR
The high proportion that are due to management errors suggests that many others are potentially preventable now, and reducing the incidence of these events will require identifying their causes and developing methods to prevent error or reduce its effects.
Abstract
Background In a sample of 30,195 randomly selected hospital records, we identified 1133 patients (3.7 percent) with disabling injuries caused by medical treatment. We report here an analysis of these adverse events and their relation to error, negligence, and disability. Methods Two physician-reviewers independently identified the adverse events and evaluated them with respect to negligence, errors in management, and extent of disability. One of the authors classified each event according to type of injury. We tested the significance of differences in rates of negligence and disability among categories with at least 30 adverse events. Results Drug complications were the most common type of adverse event (19 percent), followed by wound infections (14 percent) and technical complications (13 percent). Nearly half the adverse events (48 percent) were associated with an operation. Adverse events during surgery were less likely to be caused by negligence (17 percent) than nonsurgical ones (37 percent). The proportion of adverse events due to negligence was highest for diagnostic mishaps (75 percent), noninvasive therapeutic mishaps ("errors of omission") (77 percent), and events occurring in the emergency room (70 percent). Errors in management were identified for 58 percent of the adverse events, among which nearly half were attributed to negligence. Conclusions Although the prevention of many adverse events must await improvements in medical knowledge, the high proportion that are due to management errors suggests that many others are potentially preventable now. Reducing the incidence of these events will require identifying their causes and developing methods to prevent error or reduce its effects.

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TL;DR: Boken presenterer en helhetlig strategi for hvordan myndigheter, helsepersonell, industri og forbrukere kan redusere medisinske feil.
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Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I.

TL;DR: There is a substantial amount of injury to patients from medical management, and many injuries are the result of substandard care.
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Incidence of Adverse Drug Events and Potential Adverse Drug Events: Implications for Prevention

TL;DR: Adverse drug events were common and often preventable; serious ADEs were more likely to be preventable and prevention strategies should target both stages of the drug delivery process.
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TL;DR: HAIs in hospitals are a significant cause of morbidity and mortality in the United States and the method described for estimating the number of HAIs makes the best use of existing data at the national level.
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The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada

TL;DR: The overall incidence rate of AEs of 7.5% in this study suggests that, of the almost 2.5 million annual hospital admissions in Canada similar to the type studied, about 185 000 are associated with an AE and close to 70 000 of these are potentially preventable.
References
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Book

Simultaneous Statistical Inference

TL;DR: In this article, the authors presented a case of two means regression method for the family error rate, which was used to estimate the probability of a family having a nonzero family error.
Journal ArticleDOI

Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I.

TL;DR: There is a substantial amount of injury to patients from medical management, and many injuries are the result of substandard care.
Journal ArticleDOI

Continuous improvement as an ideal in health care.

TL;DR: Imagine two assembly lines, monitored by two foremen, one of whom has the means to measure the work, and the other who watches, and finds those among you who are unprepared or unwilling to do their jobs.
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