Patient and Family Engagement in the ICU: Untapped Opportunities and Underrecognized Challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The call for meaningful patient and family engagement in health care and research is gaining impetus. Healthcare institutions and research funding agencies increasingly encourage clinicians and researchers to work actively with patients and their families to advance clinical care and research. Engagement is increasingly mandated by healthcare organizations and is becoming a prerequisite for research funding. In this article, we review the rationale and the current state of patient and family engagement in patient care and research in the ICU. We identify opportunities to strengthen engagement in patient care by promoting greater patient and family involvement in care delivery and supporting their participation in shared decision-making. We also identify challenges related to patient willingness to engage, barriers to participation, participant risks, and participant expectations. To advance engagement, clinicians and researchers can develop the science behind engagement in the ICU context and demonstrate its impact on patient- and process-related outcomes. In addition, we provide practical guidance on how to engage, highlight features of successful engagement strategies, and identify areas for future research. At present, enormous opportunities remain to enhance engagement across the continuum of ICU care and research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it