Exploring patient and caregiver perceptions of the meaning of the patient partner role: a qualitative study
Bibliographic record
Abstract
BACKGROUND: The re-conceptualization of patients' and caregivers' roles in research from study participants to co-researchers ("patient partners") has led to growing pains within and outside the research community, such as how to effectively engage patients in research and as part of interdisciplinary teams. To support the growth of more successful research partnerships by developing a shared understanding of how patient partners conceptualize and contribute to their role, this study aimed to explore patient partners' motivations for engagement and understanding of their role. METHODS: We conducted semi-structured interviews with participants (n = 13) of an online survey of activities and impacts of patient engagement in Strategy for Patient-Oriented Research projects. Eligibility criteria included being a patient partner that indicated interest in interview participation upon survey completion, the ability to read/write in English and provide informed consent. Data were analyzed thematically using an inductive, codebook thematic analysis. RESULTS: Illuminating the lived/living patient and caregiver experience was central to how most patient partners conceptualized the role in terms of its definition, purpose, value, and responsibilities. Participants also identified four additional categories of motivations for becoming a patient partner and contributions that patient partners make to research that build upon and are in addition to sharing their lived/living experiences. Lastly, participants highlighted important connotations of the term patient partner, including temporal and context-specific considerations for the term "patient" and what "partner" may imply about the nature of the research relationship. CONCLUSIONS: At the onset of partnership, academic researchers and patient partners must create the space necessary to discuss and understand each other's underlying motivations for partnering and their perspectives on the purpose, value, and responsibilities of the patient partner role. These early conversations should help unearth what research partners hope to get out of and feel that they are able to contribute to engaging, and in such contribute to the development of reciprocal relationships that work towards shared and valued goals. Trial registration Not applicable.
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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 | 0.025 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".