Outcomes of Patient- and Family-Centered Care Interventions in the ICU: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVE: To determine whether patient- and family-centered care interventions in the ICU improve outcomes. DATA SOURCES: We searched MEDLINE, EMBASE, PsycINFO, CINAHL, and the Cochrane Library databases from inception until December 1, 2016. STUDY SELECTION: We included articles involving patient- and family-centered care interventions and quantitative, patient- and family-important outcomes in adult ICUs. DATA EXTRACTION: We extracted the author, year of publication, study design, population, setting, primary domain investigated, intervention, and outcomes. DATA SYNTHESIS: There were 46 studies (35 observational pre/post, 11 randomized) included in the analysis. Seventy-eight percent of studies (n = 36) reported one or more positive outcome measures, whereas 22% of studies (n = 10) reported no significant changes in outcome measures. Random-effects meta-analysis of the highest quality randomized studies showed no significant difference in mortality (n = 5 studies; odds ratio = 1.07; 95% CI, 0.95-1.21; p = 0.27; I = 0%), but there was a mean decrease in ICU length of stay by 1.21 days (n = 3 studies; 95% CI, -2.25 to -0.16; p = 0.02; I = 26%). Improvements in ICU costs, family satisfaction, patient experience, medical goal achievement, and patient and family mental health outcomes were also observed with intervention; however, reported outcomes were heterogeneous precluding formal meta-analysis. CONCLUSIONS: Patient- and family-centered care-focused interventions resulted in decreased ICU length of stay but not mortality. A wide range of interventions were also associated with improvements in many patient- and family-important outcomes. Additional high-quality interventional studies are needed to further evaluate the effectiveness of patient- and family-centered care in the intensive care setting.
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.
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 | 0.021 | 0.050 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.043 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".