Factors influencing diagnostic accuracy among intensive care unit clinicians - an observational study
Paul A Bergl1,2, Neehal Shukla3, Jatan Shah4
1Department of Critical Care, Gundersen Health System, La Crosse, WI, USA.
Objectives:
Diagnostic errors are a source of morbidity and mortality in intensive care unit (ICU) patients. However, contextual factors influencing clinicians' diagnostic performance have not been studied in authentic ICU settings. We sought to determine the accuracy of ICU clinicians' diagnostic impressions and to characterize how various contextual factors, including self-reported stress levels and perceptions about the patient's prognosis and complexity, impact diagnostic accuracy. We also explored diagnostic calibration, i.e. the balance of accuracy and confidence, among ICU clinicians.
Methods:
We conducted an observational cohort study in an academic medical ICU. Between June and August 2019, we interviewed ICU clinicians during routine care about their patients' diagnoses, their confidence, and other contextual factors. Subsequently, using adjudicated final diagnoses as the reference standard, two investigators independently rated clinicians' diagnostic accuracy and on each patient on a given day ("patient-day") using 5-point Likert scales. We conducted analyses using both restrictive and conservative definitions of clinicians' accuracy based on the two reviewers' ratings of accuracy.
Results:
We reviewed clinicians' responses for 464 unique patient-days, which included 255 total patients. Attending physicians had the greatest diagnostic accuracy (77-90 %, rated as three or higher on 5-point Likert scale) followed by the team's primary fellow (73-88 %). Attending physician and fellows were also least affected by contextual factors. Diagnostic calibration was greatest among ICU fellows.
Conclusions:
Additional studies are needed to better understand how contextual factors influence different clinicians' diagnostic reasoning in the ICU.
Related Concept Videos
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
Assessment of Ventilation I: Respiratory Rate
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
Errors occurring during blood pressure monitoring
Several factors...
Bias in Epidemiological Studies
Receiver Operating Characteristic Plot


