“PPI? That sounds like Payment Protection Insurance”: Reflections and learning from a substance use and homelessness study Experts by Experience group
Bibliographic record
Abstract
BACKGROUND: Patient and Public Involvement in research is important for citizenship, accountability and transparency, and has the practical benefit of helping to ensure its quality and applicability. Involving members of the public in research is becoming increasingly commonplace, in the UK and internationally. It is essential that public involvement is inclusive of individuals and their diverse life experiences, including challenging experiences that may be associated with stigma and social exclusion. The involvement of people with lived/living experience of substance use and homelessness in research is increasing in response to increased recognition of the importance of inclusion and the benefits conferred to research. MAIN BODY: In this commentary, we share our own experiences of being part of a Patient and Public Involvement group that was convened during a feasibility study of a peer-delivered harm reduction intervention. We are a diverse group but share experience of the field of substance use/homelessness, as people with lived/living experience, and as researchers and practitioners. We share our reflections and learning, as well as offer recommendations for researchers working in our field. Our group worked together to make a positive and deliberate contribution to the study. This did not happen by chance but required the development of mutual trust and respect, with each member having a commitment to support the group for its two-year duration. SHORT CONCLUSION: It is important for researchers to appreciate that meaningful Patient and Public Involvement is very valuable but requires a commitment from all involved. Regarding our field of substance use and homelessness specifically, it is essential that people with these experiences have opportunities to contribute to research and can do so in a meaningful way. People with lived/living experience are able to bring to life the rich tapestry of others' experiences. However, the involvement must be neither tokenistic nor indifferent to the wider challenges common to these experiences.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.007 |
| 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".