Mental Health Interventions to Improve Psychological Outcomes in Informal Caregivers of Critically Ill Patients: A Systematic Review and Meta-Analysis*
Bibliographic record
Abstract
OBJECTIVES: Determine effect of mental health interventions on psychologic outcomes in informal caregivers of critically ill patients. DATA SOURCES: Searches conducted in MEDLINE, Embase, and other databases from inception to October 31, 2019. STUDY SELECTION: Interventions for informal caregivers of critically ill patients in adult ICU, PICU, or neonatal ICU. DATA EXTRACTION: Two independent, blinded reviewers screened citations and extracted data. Random-effects models with inverse variance weighting pooled outcome data when suitable. Psychologic outcomes categorized: 1) negative (anxiety, depression, post-traumatic stress disorder, distress, and burden) or 2) positive (courage, humanity, justice, transcendence, temperance, and wisdom and knowledge). Stratification according to intervention type and patient population was performed. DATA SYNTHESIS: Of 11,201 studies, 102 interventional trials were included (n = 12,676 informal caregivers). Interventions targeted caregiver experience (n = 58), role (n = 6), or support (n = 38). Meta-analysis (56 randomized controlled trials; n = 22 [39%] in adult ICUs; n = 34 [61%] in neonatal ICU or PICU) demonstrated reduced anxiety (ratio of means = 0.92; 95% CI, 0.87-0.97) and depression (ratio of means = 0.83; 95% CI, 0.69-0.99), but not post-traumatic stress disorder (ratio of means = 0.91; 95% CI, 0.80-1.04) or distress (ratio of means = 1.01; 95% CI, 0.95-1.07) among informal caregivers randomized to mental health interventions compared with controls within 3 months post-ICU discharge. Increased humanity (ratio of means = 1.11; 95% CI, 1.07-1.15), transcendence (ratio of means = 1.11; 95% CI, 1.07-1.15), and caregiver burden (ratio of means = 1.08; 95% CI, 1.05-1.12) were observed. No significant effects of mental health interventions observed after 3 months postdischarge. CONCLUSIONS: Mental health interventions for caregivers of critically ill patients improved short-term anxiety, depression, humanity, and transcendence while increasing burden. Clinicians should consider short-term prescriptions of mental health interventions to informal caregivers of critically ill patients with capacity to manage interventions.
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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 | 0.011 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.026 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".