Trial reportIntensive care medicine2025
Discussing expected long-term quality of life in the ICU: effect on experiences and outcomes of patients, family, and clinicians-a randomized clinical trial.
Trial report in Intensive care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05155150 (Improving Shared-Decision Making in the Intensive Care Unit Using Patient-reported Outcome Information), which is not on this map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Improving Shared-Decision Making in the Intensive Care Unit Using Patient-reported Outcome Information
Who cites it
4 citing papers in PubMed.
- Acute Respiratory Failure Survivors' Perspectives on Patient-Centered Communication: A Mixed Methods Study.Critical care explorations · 2026Observational
- Interventions to improve mental health in caregivers of adult intensive care patients: a systematic review.BMC nursing · 2026Article
- Post-Intensive Care Syndrome Awareness and Communication: Surveys of ICU Providers and Patients.Chest · 2026Article
- Getting valuable and valid insight in life after ICU: evaluating the representativeness of a large cohort of ICU survivors.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
purposeTo evaluate the effect of discussing personalized predictions of long-term quality of life (QoL) on patient and family experiences and outcomes, and on experiences of ICU clinicians.
methodsWe conducted a randomized clinical trial in two Dutch hospitals, assigning adult ICU patients to receive usual care or the intervention: discussing the expected long-term QoL based on a validated prediction model, during a family meeting in the ICU. Primary outcome was patient and family experience with shared decision-making (CollaboRATE, range 0-100), evaluated < 3 days after the family meeting. Secondary outcomes included ICU professionals' experiences (Collaboration and Satisfaction about Care Decisions [CSACD] and Ethical Decision-Making Climate Questionnaire [EDMCQ]), symptoms of anxiety and depression among patients and family, and patients' QoL 3 months and 1 year post-ICU.
results160 patients were included, of whom 81 were randomized to receive the intervention and 79 to receive usual care. No significant differences were seen in patients' and family members' experiences (median CollaboRATE score 89 [IQR 85-100] in the intervention arm vs 93 [IQR 85-100] in the usual care arm, p = 0.6). The outcomes of patients did not differ, whereas at 1 year post-ICU family members in the usual care group reported a larger increase in depression symptoms (mean 2.3 [SD 4.2] vs 0.2 [SD 3.9], p = 0.04). Regarding ICU professionals' experiences, an improvement in CSACD score was observed post-intervention (median 40 [IQR 34-45] vs 37 [IQR 32-43], p = 0.01), while no significant change in EDMCQ was found.
conclusionIncorporating personalized predictions of long-term QoL in family meetings had no measurable effect on patients' and family members' experiences. However, a positive effect on family members' symptoms of depression and ICU professionals' experienced collaboration was observed.
trial registrationThis study was registered at ClinicalTrials.gov: NCT05155150.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.