A Study to Evaluate Strategies for Teaching Effective Use of Diagnostic Tests
1 other identifier
interventional
65
1 country
1
Brief Summary
A recent Institute of Medicine monograph brought attention to high rates of diagnostic error and called for better educational efforts to improve diagnostic accuracy.1 Educational methods, however, are rarely tested and some educational efforts may be ineffective and wasteful.2 In this study, we plan to examine whether explicit instruction on diagnostic methods will have an effect on diagnostic accuracy of 2nd-year medical students and internal medicine residents.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started May 2018
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 15, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2019
CompletedFirst Submitted
Initial submission to the registry
October 15, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
October 15, 2019
CompletedFirst Posted
Study publicly available on registry
October 17, 2019
CompletedOctober 17, 2019
October 1, 2019
8 months
October 15, 2019
October 15, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Accuracy of participants probability revisions were compared to posttest probability revisions that were calculated using Bayes Rule. An effect size was calculated to measure how close students matched the calculated revision.
To perform the effect size analysis, two transformations were performed. First, the difference between the subjective estimate and the Bayesian calculation of post-test probability was squared to remove negative differences and permit combining of the effects of positive and negative test results. Second, a correction based on the intrinsic error of a probability estimate was applied by dividing each squared difference by p(1-p). In this manner, we transformed each raw difference to a squared effect size (difference / error of difference). Finally, the square root was computed, to transform the data back to an effect size. The resulting effect size was then used for statistical analysis. For this primary analysis, a mixed model ANOVA was used.
Post-test was taken within 72 hours of instructional phase completion.
Study Arms (3)
Analytical
EXPERIMENTALStudents will receive brief instruction in probability, sensitivity, specificity, and likelihood ratios, with distributions and calculations. Pretest and posttest probabilities will be computed for two cases for each of the three conditions listed above.
Experiential
ACTIVE COMPARATORStudents will receive a brief instruction conceptually discussing sensitivity and specificity (e.g. "a sensitive test will be positive at even low levels of disease. However, this can lead to a number of false positive errors, when the test is positive even when there is no disease. As a result, it is most useful for ruling out a diagnosis"). They will then work through a total of 30 cases, 10 for each condition, in blocked sequence. For each brief written case they will be asked for a probability of diagnosis after the clinical information is presented. The test result will then be given and they will be asked for a post-test probability. Their estimate will be compared to the computed value based on published estimates of sensitivity and specificity and feedback provided.
No Explicit Instruction or Examples
PLACEBO COMPARATORStudents will receive 3 passages from a clinical text related to each of the 3 conditions in the study and asked to study them for 15 min each.
Interventions
The present study is designed to contrast two instructional methods - explicit instruction in likelihood ratios and pretest/posttest probabilities versus implicit instruction based on presentation of multiple cases. These will be compared to a "no intervention" control group.
Eligibility Criteria
You may qualify if:
- Medical Student at McMaster University or Eastern Virginia Medical School
- Completed 18 months of coursework
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Sentara Norfolk General Hospitallead
- McMaster Universitycollaborator
Study Sites (1)
Sentara Norfolk General Hospital
Norfolk, Virginia, 23507, United States
Related Publications (1)
Brush JE Jr, Lee M, Sherbino J, Taylor-Fishwick JC, Norman G. Effect of Teaching Bayesian Methods Using Learning by Concept vs Learning by Example on Medical Students' Ability to Estimate Probability of a Diagnosis: A Randomized Clinical Trial. JAMA Netw Open. 2019 Dec 2;2(12):e1918023. doi: 10.1001/jamanetworkopen.2019.18023.
PMID: 31860107DERIVED
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Participants are not aware of the other arms in the trial
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Cardiologist
Study Record Dates
First Submitted
October 15, 2019
First Posted
October 17, 2019
Study Start
May 15, 2018
Primary Completion
January 1, 2019
Study Completion
October 15, 2019
Last Updated
October 17, 2019
Record last verified: 2019-10
Data Sharing
- IPD Sharing
- Will not share