Engagement of people with lived experience in studies published in high-impact psychiatry journals: meta-research review
Bibliographic record
Abstract
BACKGROUND: We evaluated studies published in high-impact psychiatry journals to assess (1) the proportion that reported in articles whether they engaged people with lived experience; (2) the proportion that likely engaged people with lived experience; and, if engagement occurred, (3) stages of research (planning, conduct, interpretation, dissemination); and (4) engagement level (consult, involve, partner). METHODS: We searched PubMed on December 14, 2022, for articles in psychiatry journals with impact factor ≥ 10 and reviewed articles in reverse chronological order until 141 were included, based on pre-study precision estimation. We contacted authors to obtain information on engagement. RESULTS: Three of 141 (2%) studies reported engagement of people with lived experience in articles. Of the other 138 studies, 74 authors responded to follow-up emails and 22 reported they engaged people with lived experience but did not report in the article. Depending on assumptions about engagement by non-responders, we estimated, overall, 18-31% of studies may have engaged people with lived experience. Engagement occurred in research planning (70%) and rarely interpretation (35%). Most involved consultation (providing opinions or perspectives, 53%) and few involved partnership (11%). CONCLUSIONS: Engagement of people with lived experience in psychiatry research is uncommon, and when it does occur people are typically consulted but not engaged in roles with influence on decision-making. Funding agencies, ethics committees, journals, and academic institutions should take steps to support engagement of people with lived experience in psychiatry research.
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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 | 0.093 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".