Abstract
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.
Funding source: Medical College of Wisconsin
Award Identifier / Grant number: Unassigned
Acknowledgments
This work was supported by the Medical College of Wisconsin Department of Medicine.
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Research ethics: Informed consent was obtained from all subjects as outlined in the manuscript’s methods. Research involving human subjects complied with all relevant national regulations, institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013). This study was reviewed by the Medical College of Wisconsin/Froedtert Hospital Institutional Review Board (IRB) and was deemed exempt from full IRB review (internal project #34633).
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Informed consent: Informed consent was obtained from all individuals included in this study as outlined in the Methods.
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Author contributions: Neehal Shukla, Paul Bergl, Jayshil Patel, and Rahul Nanchal made substantial contributions to the study design and data analysis and interpretation. Jatan Shah and Marium Khan contributed substantially to the acquisition, analysis, and interpretation of the data. All authors contributed to the drafting and revising of the manuscript for intellectual content and approved this version. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest. The authors have no financial disclosures relevant to this study to report.
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Research funding: Author NS was provided a stipend of $3600.00 in July/August 2019 for her efforts via the Medical Student Summer Research Project Program. Funding came from the Department of Medicine, Medical College of Wisconsin. There is no other research funding to declare.
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Data availability: The raw data can be obtained upon request to the corresponding author.
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Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/dx-2023-0026).
© 2023 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Editorial
- The physical exam and telehealth: between past and future
- Review
- Features and functions of decision support systems for appropriate diagnostic imaging: a scoping review
- Mini Reviews
- The PRIDx framework to engage payers in reducing diagnostic errors in healthcare
- Tumor heterogeneity: how could we use it to achieve better clinical outcomes?
- Original Articles
- Factors influencing diagnostic accuracy among intensive care unit clinicians – an observational study
- Prevalence of atypical presentations among outpatients and associations with diagnostic error
- Preferred language and diagnostic errors in the pediatric emergency department
- Diurnal temperature variation and the implications for diagnosis and infectious disease screening: a population-based study
- What’s going well: a qualitative analysis of positive patient and family feedback in the context of the diagnostic process
- Assessing clinical reasoning skills following a virtual patient dizziness curriculum
- Interleukin-6, tumor necrosis factor-α, and high-sensitivity C-reactive protein for optimal immunometabolic profiling of the lifestyle-related cardiorenal risk
- Effect of syringe underfilling on the quality of venous blood gas analysis
- Short Communications
- How do patients and care partners describe diagnostic uncertainty in an emergency department or urgent care setting?
- Enhancing clinical reasoning with Chat Generative Pre-trained Transformer: a practical guide
- Letters to the Editor
- How to overcome hurdles in holding mortality and morbidity conferences on diagnostic error cases in Japan
- Medical history-taking by highlighting the time course: PODCAST approach
- Journal Reputation Factor
- Case Report
- Pre-analytical errors in coagulation testing: a case series
- Acknowledgement
- Acknowledgement