Co-creating and hosting PxP: a conference about patient engagement in research for and by patient partners
Bibliographic record
Abstract
Research projects, initiatives and conferences that include patients as partners rather than as participants are becoming more common. Including patients as partners (what we will call 'patient partners') is an approach called patient engagement or involvement in research, and we will call it patient engagement throughout this paper. Patient engagement moves traditional health research conferences and events to include a broader audience for their knowledge exchange and community building efforts, beyond academics and healthcare professionals. However, there are few examples of conferences where patients are given the opportunity to fully lead. Our conference went beyond patient engagement - it was patient-led. Patient partners conceived, planned, and decided on all aspects of a virtual conference.We present the work and processes we undertook throughout 2023 to create and produce a free conference called "PxP: For patients, by patients" or PxP for short, with a tagline of "Partnering to make research stronger." PxP was patient-led and about patient engagement in research rather than a specific disease or condition. PxP was supported by the Canadian Institutes of Health Research Institute of Musculoskeletal Health and Arthritis. The PxP website, known as the PxP Hub, now houses the conference recordings along with resources about patient engagement in research. These resources were recommended by the PxP Steering Committee members, speakers, and others who attended the 2023 conference. Here we lead you through how the idea for PxP was generated; how the international patient partner Steering Committee was convened and supported; how PxP was brought to life over nine months; the PxP 3-day event and feedback collected to improve future efforts; trade-offs, challenges and learnings; and resources required to support this type of event. We close with what the future holds for PxP in 2024 and beyond.It's time to elevate patients into leadership roles for conferences and events, and we encourage you to adopt the PxP ethos by using or adapting our approach and resources to support your opportunity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.010 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".