Documents Erreurs systématiques 2 résultats

- 1 ressource en ligne (x, 394 pages)

Médecine d'urgence ; Erreurs médicales ; Erreurs systématiques

The book covers various scenarios when errors, biases and systemic barriers prevail in emergency medicine, discusses their impact, and then offers solutions to mitigate their undesired outcomes. The process of clinical reasoning in emergency medicine is a complex exercise in cognition, judgment and problem-solving that is prone to mistakes. The book presents various cases written by a team of emergency specialists and trainees in an engaging format that is helpful for the practicing and teaching emergency doctor and trainees. The book discusses 51 different types of biases and errors with clinical cases, and knowledge of strategies to mitigate them concept known as cognitive debiasing that has the potential to reduce diagnostic error, and therefore, morbidity and mortality. It aims to help the readers during assessment of patients in the emergency department. Each chapter includes 4 cases illustrating the bias, error or barrier discussed, followed by a potential solution. This book helps in polishing the thinking and behavior of the readers so to potentially enhance their clinical competence in emergency department

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- xi, 321 p. : ill.
Cote : WA 950 S267i 2003

Épidémiologie ; Erreurs systématiques

Evaluating the strenfth or persuasiveness of epidemiologic evidence ininherently challenging, both for those new to the field and for experienced researchers. There are myriad potential biases to consider, but little guidance about how to assess the likely impact on study results. This book offers a strategy for assessing epidemiologic study findings, explicitly describing the goals and products of epidemiolgic research in order to better evaluate its successes and limitations. The focus throughout is on practical tools for making optimal use of available data to assess whether hypothesized biases are operative and to anticipate concerns at the point of study design in order to ensure that needed information is generated, Specific tools for assessing the presence and impact of selection bias in both cohort and case-control studies, bias from non-response, confounding , exposure measurement error, disease measurement error, and random error, are identified and evaluated. The potential value of each approach and its limitations are discussed, using examples from te published literature. Such information should help those who generate and interpret epidemiolgic research to apply methodological principles more effectively to substantive issues, leading to a more accurate appraisal of the current evidence and greater clarity about research needs.

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