The relationship between organizational culture and family satisfaction in critical care*
Bibliographic record
Abstract
OBJECTIVES: Family satisfaction with critical care is influenced by a variety of factors. We investigated the relationship between measures of organizational and safety culture, and family satisfaction in critical care. We further explored differences in this relationship depending on intensive care unit survival status and length of intensive care unit stay of the patient. DESIGN: Cross-sectional surveys. SETTING: Twenty-three tertiary and community intensive care units within three provinces in Canada. SUBJECTS: One thousand two-hundred eighty-five respondents from 2374 intensive care unit clinical staff, and 880 respondents from 1381 family members of intensive care unit patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Intensive care unit staff completed the Organization and Management of Intensive Care Units survey and the Hospital Survey on Patient Safety Culture. Family members completed the Family Satisfaction in the Intensive Care Unit 24, a validated survey of family satisfaction. A priori, we analyzed adjusted relationships between each domain score from the culture surveys and either satisfaction with care or satisfaction with decision-making for each of four subgroups of family members according to patient descriptors: intensive care unit survivors who had length of intensive care unit stay <14 days or >14 days, and intensive care unit nonsurvivors who had length of stay <14 days or ≥14 days. We found strong positive relationships between most domains of organizational and safety culture, and satisfaction with care or decision-making for family members of intensive care unit nonsurvivors who spent at least 14 days in the intensive care unit. For the other three groups, there were only a few weak relationships between domains of organizational and safety culture and family satisfaction. CONCLUSIONS: Our findings suggest that the effect of organizational culture on care delivery is most easily detectable by family members of the most seriously ill patients who interact frequently with intensive care unit staff, who are intensive care unit nonsurvivors, and who spend a longer time in the intensive care unit. Positive relationships between measures of organizational and safety culture and family satisfaction suggest that by improving organizational culture, we may also improve family satisfaction.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".