Perceived Significance of Engagement in Research Prioritization Among Chronic Kidney Disease Patients, Caregivers, and Health Care Professionals: A Qualitative Study
Bibliographic record
Abstract
BACKGROUND: Patients and other stakeholders are increasingly engaging as partners in research, although how they perceive such experiences, particularly over the long term, is not well understood. OBJECTIVE: To characterize how participants from a nondialysis chronic kidney disease (CKD) research priority-setting project conducted 2 years previously perceived the significance of their involvement. DESIGN: Qualitative descriptive study with semi-structured, individual interviews. SETTING: Participants resided across Canada. PARTICIPANTS: Eligible participants included stakeholders (ie, patients with nondialysis CKD, caregivers, health care professionals, and policy makers) who had taken part in a prior CKD research priority-setting project. MEASUREMENTS: We explored stakeholder experiences and perspectives on engagement in CKD research prioritization. METHODS: We purposively sampled across stakeholder roles and engagement types (ie, involvement in the priority-setting workshop, wiki online tool, and/or steering committee). All interviews were conducted by a single investigator by telephone or face-to-face, and audio-recordings were transcribed verbatim. The data were inductively coded and analyzed by 2 investigators using a thematic analysis approach. RESULTS: We conducted 23 interviews across stakeholder roles and engagement types. Participants appreciated the integration of distinct stakeholder communities of patients, researchers, and health care professionals that occurred through engagement in research priority setting. Their opportunity to interact with patients and others directly impacted by CKD outside of the clinical setting contributed to an enhanced understanding of the CKD lived experience and value of patient-oriented research. This interaction helped participants refine and refocus their commitment to patient-centered CKD care and research, characterized by enhanced knowledge and confidence (patients/caregivers), adaptations to existing clinical practices and policies (health care providers/policy makers), and subsequent research engagement. LIMITATIONS: The views of participants may not reflect those of individuals in other research or health care settings. CONCLUSIONS: Stakeholder engagement in nondialysis CKD research prioritization encouraged the integration of stakeholder communities, an appreciation of the CKD experience, and a refocusing of participants' commitment to research and care. Findings highlight considerations for future health research engaging stakeholders, particularly those living with CKD, as research partners.
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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 | 0.030 | 0.037 |
| 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 | 0.009 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".