The Impact of an Informational Website on Behavioural Intentions and Attitudes about Patient Engagement in Research: A Mixed Methods Evaluation
Bibliographic record
Abstract
Patient engagement in research (PER) is a rapidly emerging practice and resources are needed to prepare patients and researchers for collaboration. This study asked: What are the perceptions of patients and researchers about an informational website about PER, and how did it impact intentions and attitudes toward PER? A mixed methods approach was used, entailing pre-post surveys, focus groups, and web analytics. 49 patients and researchers participated. The findings revealed 1) intentions and attitudes toward PER decreased after viewing the website, however participants reported that the website did not impact, or positively impacted, their attitudes and intentions, and 2) overall satisfaction with the website, with variation in preferences for design, and a desire for more PER guidance, easily accessible information, and detail regarding diversity in engagement and compensation for participants. These findings reveal considerations for the development of online resources about PER and understanding divergent findings within mixed methods research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.057 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".