Moderator: Heidi Prather, DO; Paul Hodges, PhD
It is universally accepted that chronic low back pain (CLBP) is multifactorial. Multiple models have been proposed to capture some of the complexity of key aspects of the biological, psychological and social domains. Although these efforts have described some of the complexity of CLBP, treatment effect sizes remain small and the burden of CLBP continues to grow.
Collaborative modeling was developed within the field of systems science specifically to enhance the understanding of multifactorial system dynamics. Within the back pain community, stakeholders have proposed important components relevant for CLBP and described relationships between them. The overall objective of this symposium is to demonstrate how direct input into the building of a comprehensive model can integrate diverse understandings of the multiple factors and inter-relationships that are important for the management of CLBP. Ultimately, systems models will help guide new clinical and research directions to address the problem of CLBP.
The symposium faculty present the overall collaborative model, including the input provided by the symposium participants to demonstrate how the system works. Interactions and predictions are tested in real-time using scenarios provided by the symposium presenters and provided from the symposium participants to test the robustness of the model. The model and the output from the tested scenarios are discussed with feedback used to modify and refine the interactions developing in the model.
Upon completion of this session, participants should gain strategies to:
- Recognize the complementary and divergent ways in which different stakeholders understand the dynamics of CLBP using individually developed models;
- Synthesize existing expert and stakeholder knowledge through collaborative modeling;
- Appreciate the complex dynamics underlying CLBP;
- Understand the components and complexity of formulating new research directions in CLBP that emerge from integrated knowledge.
Agenda
The Overall Collaborative Model and How the System Works
Jacek Cholewicki, PhD
Testing the Robustness of the Model in Real Time: Interactions and Predictions Tested
Payam Aminpor
Modifying and Refining the Interactions Developing in the Model
Paul Hodges, PhD
Discussion