Facilitating Adaptive Expertise in Learning Computed Tomography (FAIL CT)
The FAIL CT Study: Facilitating Adaptive Expertise in Learning Computed Tomography, a Multi-center Randomized Controlled Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
California
-
Stanford, California, United States, 94305
- Stanford University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Study participation will be available to all current emergency medicine residents at Stanford and at thirteen external sites.
Exclusion Criteria:
- Adults unable to consent
- Pregnant women
- Individuals who are not yet adults (infants, children, teenagers)
- Prisoners
- Medical students
- Residents from specialties other than emergency medicine
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Error Management Training (Difficult)
Participants receive the learning strategy Error Management Training and encounter difficult questions.
|
Error Management Training is used to teach head computed tomography interpretation.
Participants encounter difficult questions.
|
|
Experimental: Error Management Training (Easy)
Participants receive the learning strategy Error Management Training and encounter easy questions.
|
Error Management Training is used to teach head computed tomography interpretation.
Participants encounter easy questions.
|
|
Active Comparator: Error Avoidance Training
Participants receive the learning strategy Error Avoidance Training.
|
Error Avoidance Training used to teach head computed tomography interpretation.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percent correct on an assessment of transfer of skills (adaptive expertise)
Time Frame: Immediately after instructional session (up to 60 minutes to complete the assessment)
|
Participants will have to demonstrate transfer of head computed tomography interpretation skills by interpreting novel radiology cases different from those used in the instructional session.
Performance will be assessed by percent score on a head computed tomography interpretation test using novel radiology content not addressed in the instructional session.
Score range is 0-100%.
|
Immediately after instructional session (up to 60 minutes to complete the assessment)
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percent correct on an assessment of post-session proficiency for learning objectives (routine expertise)
Time Frame: Immediately after instructional session (up to 60 minutes to complete the assessment)
|
Participants will have to demonstrate direct application of the intervention's learning objectives by interpreting radiology cases similar to those used in the instructional session.
Performance will be assessed by percent score on a head computed tomography interpretation test using radiology content similar to that used in the instructional session.
Score range is 0-100%.
|
Immediately after instructional session (up to 60 minutes to complete the assessment)
|
|
Effect of post-graduate year level on post-test performance
Time Frame: Immediately after instructional session (up to 60 minutes to complete the assessment)
|
Performance on a head computed tomography interpretation test (both adaptive expertise and routine expertise cases) will be assessed by percent score, stratified by post-graduate year level to show differences across residency training stage.
Score range is 0-100%.
|
Immediately after instructional session (up to 60 minutes to complete the assessment)
|
|
Mediation effect of errors on performance on the adaptive expertise cases
Time Frame: Number of errors will be measured during the educational intervention
|
The number of errors made during the educational intervention will be measured for both the Error Management Training (Difficult) arm and the Error Management Training (Easy) arm.
A mediation analysis will be conducted to assess the effect of committing errors during learning on subsequent performance in the cases measuring adaptive expertise.
|
Number of errors will be measured during the educational intervention
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Leonardo Aliaga, MD, Stanford University
Publications and helpful links
General Publications
- Mylopoulos M, Brydges R, Woods NN, Manzone J, Schwartz DL. Preparation for future learning: a missing competency in health professions education? Med Educ. 2016 Jan;50(1):115-23. doi: 10.1111/medu.12893.
- Aliaga L, Clarke SO. Rethinking Radiology: An Active Learning Curriculum for Head Computed Tomography Interpretation. West J Emerg Med. 2022 Jan 1;23(1):47-51. doi: 10.5811/westjem.2021.10.53665.
- Pusic MV, Santen SA, Dekhtyar M, Poncelet AN, Roberts NK, Wilson-Delfosse AL, Cutrer WB. Learning to balance efficiency and innovation for optimal adaptive expertise. Med Teach. 2018 Aug;40(8):820-827. doi: 10.1080/0142159X.2018.1485887. Epub 2018 Aug 9.
- Royce CS, Hayes MM, Schwartzstein RM. Teaching Critical Thinking: A Case for Instruction in Cognitive Biases to Reduce Diagnostic Errors and Improve Patient Safety. Acad Med. 2019 Feb;94(2):187-194. doi: 10.1097/ACM.0000000000002518.
- King A, Holder MG Jr, Ahmed RA. Errors as allies: error management training in health professions education. BMJ Qual Saf. 2013 Jun;22(6):516-9. doi: 10.1136/bmjqs-2012-000945. Epub 2013 Jan 3.
- Dyre L, Tabor A, Ringsted C, Tolsgaard MG. Imperfect practice makes perfect: error management training improves transfer of learning. Med Educ. 2017 Feb;51(2):196-206. doi: 10.1111/medu.13208. Epub 2016 Dec 12.
- Gardner AK, Abdelfattah K, Wiersch J, Ahmed RA, Willis RE. Embracing Errors in Simulation-Based Training: The Effect of Error Training on Retention and Transfer of Central Venous Catheter Skills. J Surg Educ. 2015 Nov-Dec;72(6):e158-62. doi: 10.1016/j.jsurg.2015.08.002. Epub 2015 Sep 8.
- Keith N, Frese M. Effectiveness of error management training: a meta-analysis. J Appl Psychol. 2008 Jan;93(1):59-69. doi: 10.1037/0021-9010.93.1.59.
- Keith N, Frese M. Self-regulation in error management training: emotion control and metacognition as mediators of performance effects. J Appl Psychol. 2005 Jul;90(4):677-91. doi: 10.1037/0021-9010.90.4.677.
- Kua J, Lim WS, Teo W, Edwards RA. A scoping review of adaptive expertise in education. Med Teach. 2021 Mar;43(3):347-355. doi: 10.1080/0142159X.2020.1851020. Epub 2020 Nov 28.
- Eva KW. Diagnostic error in medical education: where wrongs can make rights. Adv Health Sci Educ Theory Pract. 2009 Sep;14 Suppl 1:71-81. doi: 10.1007/s10459-009-9188-9. Epub 2009 Aug 11.
- Soderstrom NC, Bjork RA. Learning versus performance: an integrative review. Perspect Psychol Sci. 2015 Mar;10(2):176-99. doi: 10.1177/1745691615569000.
- Metcalfe J. Learning from Errors. Annu Rev Psychol. 2017 Jan 3;68:465-489. doi: 10.1146/annurev-psych-010416-044022. Epub 2016 Sep 14.
- Mylopoulos M, Kulasegaram K, Woods NN. Developing the experts we need: Fostering adaptive expertise through education. J Eval Clin Pract. 2018 Jun;24(3):674-677. doi: 10.1111/jep.12905. Epub 2018 Mar 8.
- Mylopoulos M, Steenhof N, Kaushal A, Woods NN. Twelve tips for designing curricula that support the development of adaptive expertise. Med Teach. 2018 Aug;40(8):850-854. doi: 10.1080/0142159X.2018.1484082. Epub 2018 Jul 15.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 64099
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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