2019
DOI: 10.1186/s13049-019-0629-z
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Diagnostic error increases mortality and length of hospital stay in patients presenting through the emergency room

Abstract: Background Diagnostic errors occur frequently, especially in the emergency room. Estimates about the consequences of diagnostic error vary widely and little is known about the factors predicting error. Our objectives thus was to determine the rate of discrepancy between diagnoses at hospital admission and discharge in patients presenting through the emergency room, the discrepancies’ consequences, and factors predicting them. Methods Prospective observational clinical s… Show more

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Cited by 91 publications
(97 citation statements)
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References 70 publications
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“…A physician's diagnosis may not always be completely accurate and there is a possibility that the time between the preliminary and actual diagnosis and treatment given in the prehospital care may affect the patient's condition and symptoms, thus resulting in a different diagnosis. We wanted to use the diagnosis at the patient's discharge from ED and not the admission diagnosis due to the fact that the discharge diagnosis differs from the admittance diagnosis in every ninth patient [23]. Furthermore, the preliminary diagnoses were made by using the ICPC-2 classification, whereas the ED discharge diagnoses were made by using the ICD-10 classification.…”
Section: Limitationsmentioning
confidence: 99%
“…A physician's diagnosis may not always be completely accurate and there is a possibility that the time between the preliminary and actual diagnosis and treatment given in the prehospital care may affect the patient's condition and symptoms, thus resulting in a different diagnosis. We wanted to use the diagnosis at the patient's discharge from ED and not the admission diagnosis due to the fact that the discharge diagnosis differs from the admittance diagnosis in every ninth patient [23]. Furthermore, the preliminary diagnoses were made by using the ICPC-2 classification, whereas the ED discharge diagnoses were made by using the ICD-10 classification.…”
Section: Limitationsmentioning
confidence: 99%
“…The primary analysis investigated whether diagnostic error in the ED could be predicted by case or context variables available in the ED and whether such error affects outcome. 22 The ED under investigation is a level 1 trauma centre, part of the University Hospital of Bern, Switzerland, and treats over 48 000 patients annually. All patients admitted to a medical ward from the ED during the study period were eligible for study inclusion.…”
Section: Methodsmentioning
confidence: 99%
“…There is also an opportunity to leverage peer review programs to improve diagnostic self-assessment, feedback, and improvement [42]. Similarly, autopsy reports [43], diagnostic discrepancies at admission versus discharge [44,45], escalations of care [46,47], and malpractice claims [48][49][50][51] may be reviewed with special attention to opportunities to improve diagnosis. These data sources may not shed light on the frequency or scope of a problem, but they can help raise awareness of the impact and harm of diagnostic errors and, in some cases, specific opportunities for improvement.…”
Section: Learning From Known Incidents and Reportsmentioning
confidence: 99%
“…Administrative and billing data are widely available in most modern HCOs and have been proposed as one source of data for detecting missed opportunities for accurate and timely diagnosis [64][65][66]. For example, diagnosis codes assigned at successive clinical encounters may be used as a proxy for the evolution of a clinical diagnosis; if significant discrepancies are found, it may lead to a search for reasons [44]. Using symptom-disease-based dyads, such as abdominal pain followed by appendicitis a few days later or dizziness followed by stroke, are examples of this approach [66,67].…”
Section: Learning From Existing Large Datasetsmentioning
confidence: 99%