Self-Directed Learning for Pulmonary Ultrasound Education
"Scaling Up Ultrasound Education Without Scaling Up Tutors: A Randomized Controlled Equivalence Trial of Self-Directed Learning for Pulmonary Pathology Recognition"
1 other identifier
interventional
385
1 country
1
Brief Summary
This study compared two ways of teaching medical students how to recognize lung conditions using ultrasound images. All participants were third-year medical students taking part in a structured ultrasound training session at the University of Turin. Students were randomly assigned to one of two groups. One group learned lung ultrasound pathology recognition with direct guidance from a tutor. The other group used a self-directed digital learning tool called MEDQUIZ, which allowed students to review clinical cases and ultrasound videos independently. The main goal of the study was to determine whether self-directed learning was equivalent to tutor-guided instruction for recognizing pulmonary ultrasound findings. Students completed ultrasound image-based assessments before and after the training. The assessments evaluated their ability to recognize anatomical structures, distinguish normal from abnormal findings, and identify specific lung conditions such as pneumonia, pleural effusion, interstitial syndrome, and pneumothorax. The study also evaluated student satisfaction with the learning experience.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2026
Shorter than P25 for not_applicable
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
March 3, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2026
CompletedFirst Submitted
Initial submission to the registry
June 23, 2026
CompletedFirst Posted
Study publicly available on registry
July 1, 2026
CompletedJuly 1, 2026
June 1, 2026
2 months
June 23, 2026
June 29, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Anatomical Structure Recognition Accuracy
Percentage of pulmonary ultrasound cases in which participants correctly identified the anatomical structure shown in the ultrasound video clip.
Immediately before and immediately after the 3-hour ultrasound training session
Physiological Versus Pathological Discrimination Accuracy
Percentage of pulmonary ultrasound cases in which participants correctly classified the ultrasound finding as physiological or pathological.
Immediately before and immediately after the 3-hour ultrasound training session
Pulmonary Pathology Identification Accuracy
Percentage of pathological pulmonary ultrasound cases in which participants correctly identified the specific pulmonary condition shown in the ultrasound video clip, including pneumonia or consolidation, interstitial syndrome, pleural effusion, or pneumothorax.
Immediately before and immediately after the 3-hour ultrasound training session
Overall Pulmonary Ultrasound Case Resolution Score
Percentage of pulmonary ultrasound cases correctly resolved with the maximum score. A case was considered correctly resolved when the participant correctly identified the anatomical structure, correctly classified the finding as physiological or pathological, and, where applicable, correctly identified the specific pulmonary pathology.
Immediately before and immediately after the 3-hour ultrasound training session
Secondary Outcomes (1)
Student Satisfaction With the Simulation Experience
Immediately after the 3-hour ultrasound training session
Study Arms (2)
Tutor-Guided Learning
ACTIVE COMPARATORParticipants assigned to this arm completed the thoracic pathology recognition station with direct tutor guidance. During the session, students reviewed pulmonary ultrasound cases through structured case-based learning, received real-time clinical reasoning guidance, and were provided with immediate corrective feedback by a trained tutor. All other components of the ultrasound internship were identical to those completed by the self-directed learning group.
Self-Directed Learning
EXPERIMENTALParticipants assigned to this arm completed the thoracic pathology recognition station using MEDQUIZ, a purpose-built self-directed digital learning tool. Students independently reviewed clinical cases, patient information, and pulmonary ultrasound video clips without structured tutor guidance. The tool included learning materials that remained available during the session. All other components of the ultrasound internship were identical to those completed by the tutor-guided learning group.
Interventions
Participants used MEDQUIZ, a purpose-built digital learning tool, to complete the thoracic pathology recognition station independently. The tool presented clinical cases, patient information, learning materials, and pulmonary ultrasound video clips. Students reviewed the cases and answered independently without structured tutor guidance during the 30-minute station.
Participants completed the thoracic pathology recognition station with direct tutor guidance. During the 30-minute station, students reviewed pulmonary ultrasound cases through structured case-based learning, received real-time clinical reasoning guidance, and were provided with immediate corrective feedback by a trained tutor.
Eligibility Criteria
You may qualify if:
- Third-year medical students enrolled in the "Approach to Ultrasound" curricular internship at the University of Turin
- Limited or no prior ultrasound experience
- No previous formal specialized ultrasound training
- Provision of informed consent for data collection
You may not qualify if:
- Inability to attend the complete ultrasound training session and both assessment sessions
- Physical or medical conditions limiting participation in hands-on ultrasound practice
- Refusal to provide informed consent for data collection
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Advanced Medical Simulation Center- SimTO, School of Medicine, Turin, Italy
Turin, Italy, 10126, Italy
Related Publications (1)
Agostino S, Daga MA, Novello F, Daga FA, Papotti G, Veglio F, Milan A. Evaluating the efficacy of a cost-effective PC-based tool as an equivalent alternative to traditional ultrasound simulators in medical education. Anat Sci Educ. 2025 Nov;18(11):1203-1214. doi: 10.1002/ase.70115. Epub 2025 Aug 29.
PMID: 40883880BACKGROUND
Study Officials
- STUDY DIRECTOR
Alberto Milan, PhD
Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Participants could not be masked because they were aware of whether they received tutor-guided instruction or used the self-directed learning tool. Primary outcome assessment was computer-based and automatically recorded by EcoQuiz Med, reducing the possibility of assessor bias. Data analysis was performed using exported coded datasets.
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Research Technician, Department of Medical Sciences, University of Turin
Study Record Dates
First Submitted
June 23, 2026
First Posted
July 1, 2026
Study Start
March 3, 2026
Primary Completion
April 30, 2026
Study Completion
April 30, 2026
Last Updated
July 1, 2026
Record last verified: 2026-06
Data Sharing
- IPD Sharing
- Will not share
Individual participant data will not be made publicly available. Access to de-identified data may be considered only in the context of a formal scientific collaboration and after approval by the relevant institutional and ethics committee authorities, in accordance with applicable regulations.