A rapid realist review of patient engagement in patient-oriented research and health care system impacts: part one
Bibliographic record
Abstract
BACKGROUND: Patient-oriented research affords individuals with opportunities to genuinely contribute to health care research as members of research teams. While checklists and frameworks can support academic researchers' awareness of patient engagement methods, less guidance appears available to support their understanding of how to develop and maintain collaborative relationships with their patient partners. This knowledge is essential as patient partners report that the social atmospheres of research teams significantly impacts the quality of their experiences. This study sought to develop theory regarding how academic researchers support and sustain patient engagement in patient-oriented research. METHODS: A six-step, rapid realist review was conducted: (1) research question development, (2) preliminary theory development, (3) search strategy development; (4) study selection and appraisal, (4) data extraction, analysis and synthesis (5) identification of relevant formal theories, and (6) theory refinement with stakeholders. Findings were additionally distilled by collective competence theory. RESULTS: A program theory was developed from 62 international studies which illuminated mechanisms supporting academic researchers to engage patient partners, contexts supporting these mechanisms, and resources that enabled mechanism activation. Interaction between seven contexts (patient-oriented research belief, prior interaction with a healthcare system, prior interaction with a particular academic researcher, educational background of patient partner, prior experience with patient-oriented research, study type, and time lived in a rural-urban setting) and seven mechanisms (deciding to become involved in patient-oriented research, recognizing valuable experiential knowledge, cultural competence, reducing power differentials, respectful team environment, supporting patient partners to feel valued, and readiness to research) resulted in an intermediate outcome (sense of trust). Trust then acted as an eighth mechanism which triggered the final-level outcome (empowered patient-centred lens). CONCLUSIONS: Our theory posits that if patient partners trust they are a member of a supportive team working alongside academic researchers who authentically want to incorporate their input, then they are empowered to draw upon their experiential knowledge of health care systems and contribute as researchers in patient-oriented research. Our theory extends conceptual thinking regarding the importance of trust on patient-oriented research teams, how patient partners' trust is shaped by team interactions, and the role that academic researchers have within those interactions.
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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 | 0.190 | 0.443 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.038 | 0.027 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".