Intensive care unit family satisfaction survey
Bibliographic record
Abstract
OBJECTIVES: To examine the level of family satisfaction in a local intensive care unit and its performance in comparison with international standards, and to determine the factors independently associated with higher family satisfaction. DESIGN: Questionnaire survey. SETTING: A medical-surgical adult intensive care unit in a regional hospital in Hong Kong. PARTICIPANTS: Adult family members of patients admitted to the intensive care unit for 48 hours or more between 15 June 2012 and 31 January 2014, and who had visited the patient at least once during their stay. RESULTS: Of the 961 eligible families, 736 questionnaires were returned (response rate, 76.6%). The mean (± standard deviation) total satisfaction score, and subscores on satisfaction with overall intensive care unit care and with decision-making were 78.1 ± 14.3, 78.0 ± 16.8, and 78.6 ± 13.6, respectively. When compared with a Canadian multicentre database with respective mean scores of 82.9 ± 14.8, 83.5 ± 15.4, and 82.6 ± 16.0 (P<0.001), there was still room for improvement. Independent factors associated with complete satisfaction with overall care were concern for patients and families, agitation management, frequency of communication by nurses, physician skill and competence, and the intensive care unit environment. A performance-importance plot identified the intensive care unit environment and agitation management as factors that required more urgent attention. CONCLUSIONS: This is the first intensive care unit family satisfaction survey published in Hong Kong. Although comparable with published data from other parts of the world, the results indicate room for improvement when compared with a Canadian multicentre database. Future directions should focus on improving the intensive care unit environment, agitation management, and communication with families.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".