UTC +1
90 Minute
EOK: György Békésy Lecture Hall
This Community of Practice (COP) session will explore challenges associated with Performance Assessment of Clinical Skills (PACS) in dentistry. The session will build on our 2025 session which identified a need for practical training around running an OSCE.
During the in-person workshop, we will explore at a basic and practical level how to make sense of OSCE data after the examination. We will discuss how to undertake a Borderline Regression Analysis to confirm, or otherwise, the pass mark. We will consider issues with this method and strategies for when it doesn’t work. We will then explore how to check if the examination is fair - in terms of station, examiner and circuit performance. Participants will be invited to participate in small group exercises to build on their expertise and help embed practical skills. We anticipate workshop participation to encourage collaborative partnerships and training initiatives, forming the foundation for future COP activities.
| Approx. Duration | Topic | Detail |
|---|---|---|
| 0 - 5 mins | Introduction | Introduce the team, outline aims and objectives |
| 20 min | Introduction to standard setting using the Borderline Regression method | Short talk introducing participants to the Borderline Regression method |
| 20 min | Workshop - Scrutinising the output of borderline regression | Small group workshop - Members discuss / scrutinise the output of Borderline Regression – discussing the effectiveness / decision making process. |
| 20 mins | Introduction to station, examiner and circuit analysis | Broad overview of Cronbachs alpha, examiner analysis / circuit analysis. |
| 20 mins | Workshop - making sense of the data | Practical exercise in small groups examining the data and making sense of the output. Small group discussions about decision making processes following the data analysis. |
| 5 mins | Session close | Summary, thanks, and next steps |
During the session, delegates will:
- Understand and describe a method for post-hoc standard setting (Borderline Regression).
- Explain the importance of post-hoc analysis to assess station performance and fairness.
- Develop practical skills in managing OSCE data.






