Team-Based Learning Versus Lecture-Based Instruction for Chest Radiograph Interpretation in Physician Associate Education: A Quasi-Experimental Study

This quasi-experimental study found that while Team-Based Learning and lecture-based instruction yielded comparable academic performance in chest radiograph interpretation for physician associate students, Team-Based Learning significantly enhanced learner engagement, peer interaction, and self-efficacy.

The Gist

Imagine you are learning how to read a map to find hidden treasure. In this case, the "treasure" is finding diseases inside a patient's body, and the "map" is a chest X-ray.

This study asked a simple question: Is it better to learn how to read these maps by sitting quietly and listening to an expert talk, or by working in small groups to solve puzzles together?

Here is the breakdown of the study, explained with some everyday analogies.

The Setup: Two Different Classrooms

The researchers took two groups of future Physician Associates (PAs)—basically, doctors' partners who help diagnose and treat patients. Both groups had to learn how to read chest X-rays.

• Group A (The Lecture Group): They sat in a big hall like students in a high school history class. A teacher stood at the front, showed slides of X-rays, and explained what to look for. The students listened, took notes, and asked questions. It was a classic "sage on the stage" approach.
• Group B (The Team-Based Learning Group): They were put into small teams of 4 or 5. Before class, they watched short videos on their own (like homework). During class, they didn't just listen; they had to do things. They took a quick quiz alone, then took the same quiz with their team. Then, they looked at tricky X-rays together, argued about what they saw, and had to agree on an answer before showing it to the teacher. It was more like a "huddle" in sports than a lecture.

The Test: Who Learned More?

After the 90-minute session, both groups took a test to see how well they could spot problems on an X-ray.

The Result: It was a tie.
Both groups improved their scores by about the same amount. Whether they listened to a lecture or worked in a team, they learned the facts equally well. The "Team" method didn't make them smarter on the test, but it didn't make them dumber either.

The Real Difference: The "Vibe" and Confidence

While the test scores were the same, the feeling of the two classes was very different.

• The Lecture Group: Felt like a standard classroom. They were satisfied, but they were mostly passive listeners.
• The Team Group: Felt like a workshop or a strategy meeting.
  • Engagement: The team group felt much more "in the game." They were talking, debating, and interacting.
  • Confidence: This is where the magic happened. The students in the team group felt much more confident in their ability to actually look at an X-ray and say, "I know what that is."

The Analogy:
Think of learning to drive.

• The Lecture is like sitting in a classroom watching a video of someone driving a car and listening to an instructor explain the rules of the road. You know the theory.
• The Team Approach is like getting in the car with a few friends, trying to parallel park, arguing about who should turn the wheel, and getting immediate feedback when you hit the curb. You might not know the rules any better than the lecture group, but you feel braver and more ready to actually get behind the wheel.

Why This Matters

The study found that the "Team" method (Team-Based Learning) is a win-win for medical schools:

1. It works just as well for teaching the hard facts (the test scores were the same).
2. It builds confidence. In medicine, knowing the facts isn't enough; you need the confidence to make a decision when a patient is waiting.
3. It's practical. You don't need more teachers to do it. You just need to rearrange the chairs and let students talk to each other.

The Bottom Line

If you want to teach someone to read an X-ray, you can give them a lecture, and they will pass the test. But if you put them in a team to practice together, they will pass the test AND they will feel like they can actually do the job when they graduate.

The researchers concluded that for future doctors and PAs, collaboration is just as important as the lecture itself. It turns passive listeners into active problem-solvers.

Technical Summary

1. Problem Statement

Chest radiograph interpretation is a foundational skill for Physician Associates (PAs) and a mandated accreditation standard by the Accreditation Review Commission on Education for the Physician Assistant (ARC-PA). However, radiology education in PA curricula often relies on traditional, passive lecture-based instruction, which may not adequately foster the higher-order cognitive skills required for clinical image interpretation. While active learning strategies (like Team-Based Learning or TBL) show promise in medical education generally, there is a paucity of literature evaluating their specific efficacy in PA radiology education compared to traditional lectures. The study seeks to determine if TBL can match the academic performance of lectures while enhancing student engagement and self-efficacy.

2. Methodology

Study Design:
A mixed-methods, quasi-experimental cohort comparison using a pre-post design.

Participants:

• Population: Two consecutive cohorts of PA students in the didactic year at Wake Forest University School of Medicine.
• Control Group (2024 Cohort): $n=90$ (72% survey response rate; 84% test completion). Received traditional instruction.
• Intervention Group (2025 Cohort): $n=87$ (90% survey response rate; 86% test completion). Received TBL instruction.
• Baseline Comparability: No statistically significant differences were found between cohorts regarding age, GPA, GRE scores, or prior clinical hours ($p > 0.05$).

Interventions:
Both groups received 90 minutes of instruction covering identical learning objectives and chest radiograph content, delivered by the same instructor.

• Lecture-Based (Control): Synchronous, instructor-led PowerPoint presentation with case examples. No pre-class preparation.
• Team-Based Learning (Intervention): Structured around seven core TBL elements:
  1. Pre-class: Students reviewed three short recorded lectures and resources.
  2. Readiness Assurance: Individual (iRAT) and Team (tRAT) readiness tests with immediate feedback.
  3. Application: Teams analyzed chest radiographs using the "4S" framework (Significant problem, Same problem, Specific choice, Simultaneous reporting) via whiteboards.
  4. Debrief: Instructor-led clarification and inter-team discussion.
  • Note: Peer evaluation was omitted due to the single-session format.

Data Collection & Analysis:

• Academic Performance: Validated multiple-choice questions (ACR/AMSER banks) administered via ExamSoft as pre- and post-tests.
• Satisfaction & Self-Efficacy: Post-session surveys using 5-point Likert scales (adapted from SEEQ, SSES, and Bandura's Self-Efficacy Theory).
• Qualitative Data: Open-ended questions regarding factors contributing to self-efficacy, analyzed thematically by two independent investigators.
• Statistics: Independent sample t-tests for quantitative data; thematic analysis for qualitative data. Power analysis indicated 80% power to detect a medium effect size ($d=0.5$).

3. Key Results

Academic Performance:

• Both cohorts showed significant improvement from pre-test to post-test.
• No significant difference was found between groups in post-test scores ($p=0.094$) or mean score improvement ($p=0.841$).
• Conclusion: TBL is non-inferior to lecture-based instruction regarding objective knowledge acquisition.

Student Satisfaction & Engagement:

• Both groups rated sessions favorably (means > 4.0/5.0).
• The TBL group reported significantly higher scores in:
  • Engagement ($p < 0.001$)
  • Peer/Instructor interaction ($p < 0.001$)
  • Instructor clarity ($p=0.015$)
  • Effectiveness of the instructional method ($p=0.001$)
  • Overall satisfaction ($p=0.001$)

Self-Efficacy:

• TBL participants reported significantly higher confidence in specific areas:
  • Recognizing common pathological findings ($p=0.003$).
  • Understanding enhanced by observing peers/instructors ($p=0.021$).
  • Confidence boosted by peer constructive feedback ($p < 0.001$).
• Qualitative Themes:
  • Lecture Group: Cited "practice cases," "systematic approaches," and "structured explanations" as key to confidence.
  • TBL Group: Cited "peer discussion," "active engagement," and "immediate feedback" as primary drivers of self-efficacy.

4. Key Contributions

• Evidence for PA Education: This is one of the first studies to specifically evaluate TBL for radiology education within Physician Associate programs, addressing a gap in the literature where most data exists for medical students.
• Non-Inferiority Confirmation: Demonstrates that shifting from passive lectures to active TBL does not compromise short-term test performance, alleviating concerns that active learning might reduce academic rigor.
• Holistic Learning Metrics: Highlights that while test scores may be equivalent, TBL significantly outperforms lectures in "soft" but critical competencies: engagement, collaboration, and clinical confidence (self-efficacy).
• Feasibility Analysis: Shows that TBL can be implemented in large cohorts without increasing faculty-to-student ratios, provided the physical environment (grouped tables) and digital tools (Intedashboard) are utilized effectively.

5. Significance and Implications

• Curricular Reform: The findings support the integration of TBL into PA radiology curricula to meet ARC-PA accreditation standards more effectively. It offers a scalable model for active learning that does not require additional faculty resources.
• Competency-Based Education: The study aligns with the shift toward competency-based medical education (CBME). While lectures test knowledge retention, TBL fosters the behaviors required for practice: collaborative reasoning, systematic interpretation, and the confidence to apply skills in ambiguous clinical scenarios.
• Clinical Readiness: By enhancing self-efficacy and peer interaction, TBL may better prepare PAs for the realities of clinical practice, where diagnostic imaging interpretation is often a collaborative and iterative process.
• Future Directions: The authors recommend longitudinal studies to assess long-term retention and the generalizability of TBL to other imaging modalities (CT, Ultrasound, Musculoskeletal).

Limitations Noted:

• Quasi-experimental design (consecutive cohorts rather than randomization).
• Single-institution, single-instructor setting limits generalizability.
• Short-term assessment (pre/post immediately following one session) does not measure long-term retention.