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Virtual Patient Education From Real Cases (ViPER)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT04553640
Recruitment Status : Not yet recruiting
First Posted : September 17, 2020
Last Update Posted : November 17, 2020
Sponsor:
Information provided by (Responsible Party):
Johns Hopkins University

Brief Summary:
Misdiagnosis of neurological conditions is common in healthcare settings, sometimes with devastating consequences. Most diagnostic errors result from failures in bedside diagnostic reasoning. Dizziness is a symptom that is common, costly, and frequently associated with missed stroke. Too often healthcare providers have misconceptions about diagnostic approaches to dizziness. Current systems of medical education, residency training, and licensure requirements have proven insufficient to prevent harms from diagnostic error. Traditional lectures do not change physician behavior but active learning strategies with the use of simulation do. The investigators built and hope to expand a simulation-based curriculum to improve diagnosis of dizziness (SIDD) that will mirror real-world encounters and clinical practice. Using the tenets of deliberate practice with rapid, real-time feedback, the investigators hope to improve the approach to dizziness of healthcare providers and correct knowledge deficits that contribute to diagnostic errors. Investigators have chosen dizziness as the "model symptom" for this study. Future plans include expanding this approach to other symptoms that are also common, costly, and associated with a high misdiagnosis rate (e.g. abdominal pain, dyspnea, or chest pain).

Condition or disease Intervention/treatment Phase
Simulation Dizziness Vertigo Stroke Other: Group A/Intervention Curriculum Other: Group B/Control Curriculum Not Applicable

Detailed Description:

Diagnostic errors and resulting misdiagnosis-related harms represent a major public health problem. Most diagnostic errors result from failures in bedside diagnostic reasoning. Gaps in expertise (ultimately linked to faulty knowledge, inadequate training, or lack of feedback) account for many of these failures. Current systems of medical education, residency training, and licensure requirements have proven insufficient to prevent harms from diagnostic errors. The National Academy of Medicine recommends using simulation training with early exposure to a variety of typical/atypical cases to improve diagnostic performance. A systematic review found strong positive associations between simulation training and improved outcomes of knowledge, skills, and behaviors. Training in bedside diagnosis could be dramatically enhanced through symptom-specific virtual patient (VP) curricula that expose learners to real-world cases in a deliberate practice framework - practice that is motivated, purposeful, and systematic. This approach allows the appropriate mix of cases and difficulty to be presented to learners sequentially, potentially enhancing clinical skills.

Clinical presentations with nonspecific symptoms and diagnoses with wide differentials are especially prone to diagnostic errors; dizziness may be the epitome of this conundrum. Dizziness is a symptom that is common, costly, and associated with missed stroke. Isolated dizziness is the most common clinical context for missed stroke. Stroke is a leading cause of major long-term disability in the United States and an enormous source of global disease burden. It is listed as the fourth most common diagnostic errors among those reported by physicians. In fact, closed-claims analyses focused on neurologic conditions found stroke as the most common misdiagnosis, and more than 20% occurred in the ED. A hospital records analyses indicated that deaths due to cerebrovascular events result from diagnostic error far more frequently than those due to myocardial infarction. The ED is a high-risk site for diagnostic errors and indiscriminate use of neuroimaging for diagnosis of dizziness is neither accurate nor cost-effective. Risk stratification using symptoms and signs at the bedside offer the potential to provide cost-effective reductions in misdiagnosis-related harms. There is evidence to suggest that providers are currently ill-equipped and harbor misconceptions about the best approach to dizzy patients. Therefore, the investigators chose dizziness as the "model symptom" for study.

Even at Johns Hopkins Medicine, where dizziness diagnosis has been studied extensively, this remains a problem. The Center for Diagnostic Excellence group recently showed that (a) <5% of dizziness charts have correct documentation of standard bedside examination techniques; (b) 40% of patients leave the ED with a symptom-only diagnosis (at least half of whom could have been correctly diagnosed and treated); and (c) 39% receive a CT (>90% of which are inappropriate). Emergency medicine residents overwhelmingly express the need for better training in dizziness diagnosis.

The investigators recently demonstrated that <10 hours' worth of simulation-based deliberate practice training using a dizziness-focused ViPER (Virtual Patient Education from Real Cases) curriculum made internal medicine interns twice as accurate as senior resident colleagues on VP cases. The investigators now seek to do the same for emergency medicine residents and demonstrate real-world impact.

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Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 50 participants
Allocation: Randomized
Intervention Model: Crossover Assignment
Intervention Model Description: A randomized crossover pretest-posttest evaluation design to assess the effectiveness of the "intervention" relative to a "control" condition. Participants will undergo a pretest & then randomization to groups A or B. Participants in group A will be exposed to the intervention (virtual patient curriculum + Feedback) and participants in group B will be exposed to the control (Online articles on dizziness). After a "washout" period (2 months), the groups will reverse. Outcomes will be measured for all participants at T0 (pretest), T1 (crossover point), and T2 (intervention end).
Masking: None (Open Label)
Primary Purpose: Other
Official Title: Virtual Patient Education From Real Cases (ViPER) to Improve ED Diagnosis of Dizziness and Stroke
Estimated Study Start Date : February 2021
Estimated Primary Completion Date : October 1, 2021
Estimated Study Completion Date : December 1, 2021

Resource links provided by the National Library of Medicine


Arm Intervention/treatment
Experimental: Group A/Intervention Curriculum
Virtual patient (VP) cases and feedback available through solving VP cases and participants' self-report on the diagnosis of dizzy patients in the emergency department.
Other: Group A/Intervention Curriculum
Virtual patient cases and feedback
Other Name: Simulation-based curriculum to Improve Diagnosis of Dizziness (SIDD)

Other: Group B/Control Curriculum
Online articles on dizziness and emergency department clinical experience

Active Comparator: Group B/Control curriculum
Online articles on dizziness AND regular emergency department clinical rotations
Other: Group A/Intervention Curriculum
Virtual patient cases and feedback
Other Name: Simulation-based curriculum to Improve Diagnosis of Dizziness (SIDD)

Other: Group B/Control Curriculum
Online articles on dizziness and emergency department clinical experience




Primary Outcome Measures :
  1. Diagnostic accuracy as determined by the percentage of proportion of correct cases from the total number of cases [ Time Frame: 6 months ]
    Diagnostic accuracy on virtual patient cases in a pretest-posttest study and then participants will be exposed to a 2nd posttest after a time delay

  2. Diagnostic accuracy as determined by the percentage of proportion of correct dizzy cases from the total number of cases seen in the emergency department [ Time Frame: 12 months ]
    The investigators will compare participants' self-report on diagnosis of dizzy cases to results of Tele-Dizzy consultation by an oto-neurologist


Secondary Outcome Measures :
  1. Diagnostic Process as determined by percentage of participants' report on diagnostic behaviors and electronic health record review of diagnostic behaviors for dizzy patients in the emergency department [ Time Frame: 6 months ]
    participants' self-report of diagnostic behaviors and systematic chart review (electronic charts for patients with a coded chief symptom of dizziness or vertigo will be searched using validated keyword process metrics, then subjected to secondary human review/confirmation)

  2. Diagnostic Utilization as determined by percentage of consultation, imaging ordered, admissions recommended, and emergency department length of stay for dizzy patients [ Time Frame: 6 months ]
    electronic record review of consultation, imaging, admission, and ED length-of-stay

  3. Self-Confidence as determined by online self assessment survey [ Time Frame: 6 months ]
    at the beginning and end of the study, the investigators will use an online self assessment survey with a range of score of 1 to 5 (1=extremely incompetent, 2=somewhat incompetent, 3=neither incompetent nor competent, 4=somewhat competent, and 5=extremely competent) to gauge learners' confidence in evaluating dizzy patients and perceived strengths and weaknesses in diagnostic approach, history, and examination

  4. Satisfaction as determined by a self assessment score [ Time Frame: 6 months ]
    The self assessment survey score will range from1 to 5 (1=extremely dissatisfied, 2=somewhat dissatisfied, 3=neither satisfied nor dissatisfied, 4=somewhat satisfied, and 5=extremely satisfied) software usability and satisfaction data from participants and encounter experience from patients will be collated for this scoring system.



Information from the National Library of Medicine

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Ages Eligible for Study:   Child, Adult, Older Adult
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Criteria

Inclusion Criteria:

  • All internal medicine interns (PGY 1) and residents (PGY 2 and 3) at Johns Hopkins Hospital (JHH) and Johns Hopkins Bayview Medical Center (JHBMC) will be invited to participate voluntarily.
  • JHBMC and JHH Hospitalists, Physician Assistants, Nurse Practitioners, Emergency Medicine Residents.

Exclusion Criteria:

  • Interns and residents not associated with the internal medicine or emergency medicine residency programs at JHH and JHBMC.
  • Hospitalists, Physician Assistants, Nurse Practitioners not associated with JHBMC or JHH.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04553640


Contacts
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Contact: Susrutha Kotwal, MD 5708672288 skotwal1@jhmi.edu
Contact: Gina Kauffman 4105504534 rhess4@jhmi.edu

Sponsors and Collaborators
Johns Hopkins University
Investigators
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Principal Investigator: Susrutha Kotwal, MD Johns Hopkins University
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Responsible Party: Johns Hopkins University
ClinicalTrials.gov Identifier: NCT04553640    
Other Study ID Numbers: IRB00167998
First Posted: September 17, 2020    Key Record Dates
Last Update Posted: November 17, 2020
Last Verified: September 2020

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Johns Hopkins University:
virtual education
medical education
Additional relevant MeSH terms:
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Vertigo
Dizziness
Nervous System Diseases
Vestibular Diseases
Labyrinth Diseases
Ear Diseases
Otorhinolaryngologic Diseases
Neurologic Manifestations
Sensation Disorders