Family satisfaction with critical care: measurements and messages
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
PURPOSE OF REVIEW: Family satisfaction in the ICU reflects the extent to which perceived needs and expectations of family members of critically ill patients are met by healthcare professionals. Here, we present recently developed tools to assess family satisfaction, with a special focus on their psychometric properties. Assessing family satisfaction, however, is not of much use if it is not followed by interpretation of the results and, if needed, consecutive measures to improve care of the patients and their families, or improvement in communication and decision-making. Accordingly, this review will outline recent findings in this field. Finally, possible areas of future research are addressed. RECENT FINDINGS: To assess family satisfaction in the ICU, several domains deserve attention. They include, among others, care of the patient, counseling and emotional support of family members, information and decision-making. Overall, communication between physicians or nurses and members of the family remains a key topic, and there are many opportunities to improve. They include not only communication style, timing and appropriate wording but also, for example, assessments to see if information was adequately received and also understood. Whether unfulfilled needs of individual members of the family or of the family as a social system result in negative long-term sequels remains an open question. SUMMARY: Assessing and analyzing family satisfaction in the ICU ultimately will support healthcare professionals in their continuing effort to improve care of critically ill patients and their families.
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 | 0.000 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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