Real-world virtual patient simulation to improve diagnostic performance through deliberate practice : a prospective quasi-experimental study

© 2021 Walter de Gruyter GmbH, Berlin/Boston..

OBJECTIVES: Diagnostic errors are pervasive in medicine and most often caused by clinical reasoning failures. Clinical presentations characterized by nonspecific symptoms with broad differential diagnoses (e.g., dizziness) are especially prone to such errors.

METHODS: We hypothesized that novice clinicians could achieve proficiency diagnosing dizziness by training with virtual patients (VPs). This was a prospective, quasi-experimental, pretest-posttest study (2019) at a single academic medical center. Internal medicine interns (intervention group) were compared to second/third year residents (control group). A case library of VPs with dizziness was developed from a clinical trial (AVERT-NCT02483429). The approach (VIPER - Virtual Interactive Practice to build Expertise using Real cases) consisted of brief lectures combined with 9 h of supervised deliberate practice. Residents were provided dizziness-related reading and teaching modules. Both groups completed pretests and posttests.

RESULTS: For interns (n=22) vs. residents (n=18), pretest median diagnostic accuracy did not differ (33% [IQR 18-46] vs. 31% [IQR 13-50], p=0.61) between groups, while posttest accuracy did (50% [IQR 42-67] vs. 20% [IQR 17-33], p=0.001). Pretest median appropriate imaging did not differ (33% [IQR 17-38] vs. 31% [IQR 13-38], p=0.89) between groups, while posttest appropriateness did (65% [IQR 52-74] vs. 25% [IQR 17-36], p<0.001).

CONCLUSIONS: Just 9 h of deliberate practice increased diagnostic skills (both accuracy and testing appropriateness) of medicine interns evaluating real-world dizziness 'in silico' more than ∼1.7 years of residency training. Applying condensed educational experiences such as VIPER across a broad range of common presentations could significantly enhance diagnostic education and translate to improved patient care.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Diagnosis (Berlin, Germany) - 8(2021), 4 vom: 25. Nov., Seite 489-496

Sprache:

Englisch

Beteiligte Personen:

Kotwal, Susrutha [VerfasserIn]
Fanai, Mehdi [VerfasserIn]
Fu, Wei [VerfasserIn]
Wang, Zheyu [VerfasserIn]
Bery, Anand K [VerfasserIn]
Omron, Rodney [VerfasserIn]
Tevzadze, Nana [VerfasserIn]
Gold, Daniel [VerfasserIn]
Garibaldi, Brian T [VerfasserIn]
Wright, Scott M [VerfasserIn]
Newman-Toker, David E [VerfasserIn]

Links:

Volltext

Themen:

Diagnostic error
Dizziness
Journal Article
Medical education
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Simulation training
Stroke
Virtual patient education

Anmerkungen:

Date Completed 03.12.2021

Date Revised 26.11.2022

published: Electronic-Print

ClinicalTrials.gov: NCT02483429

Citation Status MEDLINE

doi:

10.1515/dx-2020-0127

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM322324564