Lars Klintwall talks with Nora Skjerdingstad, a DPhil student at the University of Oxford, about perceived causal problem networks (PECAN)

1. What is PECAN: In this first video Lars provides a description of Perceived Causal Problem Networks (PECAN).

2. The development of the PECAN model: Lars talks about his rationale behind the development of PECAN and how this relates to a network perspective of mental health.

3. Constructing PECAN models: In this third video Lars describes how he constructs a model in a clinical setting and the limitations of patient insight for this method

4. How can PECAN be used in clinical and research settings? In this fourth video Lars describes how PECAN is used in research. For example, in an intervention study to provide a treatment target or in research describing a specific population and in a clinical setting, where it could be used as a tool for discussion with patients. 

5. What are the next steps for developing the PECAN method? Lars talks about the importance of how to phrase the causal questions and what to include as nodes and what combination of different areas e.g., emotional, contextual factors and how to combine PECAN with other data sources e.g., EMA.

6. Demonstration of the PECAN tool: In this sixth video Lars runs through a demonstration of using PECAN

7. Benefits and Limitations of using PECAN: In this final video Lars discusses the downside of PECAN such as relying on patient insight however, the benefits include addressing some of the limitations of time series networks e.g., takes less time and can get to edges regardless of timescale.