Patient and Family Member-Led Research in the Intensive Care Unit: A Novel Approach to Patient-Centered Research
Bibliographic record
Abstract
INTRODUCTION: Engaging patients and family members as partners in research increases the relevance of study results and enhances patient-centered care; how to best engage patients and families in research is unknown. METHODS: We tested a novel research approach that engages and trains patients and family members as researchers to see if we could understand and describe the experiences of patients admitted to the intensive care unit (ICU) and their families. Former patients and family members conducted focus groups and interviews with patients (n = 11) and families of surviving (n = 14) and deceased (n = 7) patients from 13 ICUs in Alberta Canada, and analyzed data using conventional content analysis. Separate blinded qualitative researchers conducted an independent analysis. RESULTS: Participants described three phases in the patient/family "ICU journey"; admission to ICU, daily care in ICU, and post-ICU experience. Admission to ICU was characterized by family shock and disorientation with families needing the presence and support of a provider. Participants described five important elements of daily care: honoring the patient's voice, the need to know, decision-making, medical care, and culture in ICU. The post-ICU experience was characterized by the challenges of the transition from ICU to a hospital ward and long-term effects of critical illness. These "ICU journey" experiences were described as integral to appropriate interactions with the care team and comfort and trust in the ICU, which were perceived as essential for a community of caring. Participants provided suggestions for improvement: 1) provide a dedicated family navigator, 2) increase provider awareness of the fragility of family trust, 3) improve provider communication skills, 4) improve the transition from ICU to hospital ward, and 5) inform patients about the long-term effects of critical illness. Analyses by independent qualitative researchers identified similar themes. CONCLUSIONS: Patient and family member-led research is feasible and can identify opportunities for improving care.
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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 | 0.085 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.032 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.005 | 0.018 |
| Research integrity | 0.005 | 0.006 |
| 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".