TY - JOUR T1 - Quality of end-of-life communication in 2 high-risk ICU cohorts: a retrospective cohort study JF - CMAJ Open JO - CMAJ SP - E570 LP - E575 DO - 10.9778/cmajo.20200146 VL - 9 IS - 2 AU - Tammy L. Pham AU - Allan Garland Y1 - 2021/04/01 UR - http://www.cmajopen.ca/content/9/2/E570.abstract N2 - Background: Factors influencing the quality of end-of-life communication are relevant to improving end-of-life care. We assessed the quality of end-of-life communication and influencing factors in 2 intensive care unit (ICU) cohorts at high risk of death: patients living in nursing homes and those on extracorporeal membrane oxygenation (ECMO).Methods: This retrospective cohort study included admissions to 4 ICUs in Winnipeg, Manitoba, from 2000 to 2017. We identified cohorts and influencing factors from the Winnipeg ICU database and by manual chart review. We assessed quality of end-of-life communication using 18 validated, binary quality indicators to calculate a weighted, scaled, composite score (range 0–100). We used median regression to identify factors associated with the composite score.Results: The ECMO cohort (n = 109) was younger than the nursing home cohort (n = 230), with longer hospital stays and higher disease severity. Mean composite scores of end-of-life communication were extremely low in both cohorts (mean 48.5 [standard error of the mean (SEM) 1.7] for the nursing home cohort, 49.1 [SEM 2.5] for the ECMO cohort). Patient characteristics associated with higher median composite scores were older age (5.0 per decade, 95% confidence interval [CI] 2.1–7.8) and lower (worse) Glasgow Coma Scale (GCS) scores (1.8 per GCS point, 95% CI 0.5–3.2). The median composite score rose significantly over time (1.7 per year, 95% CI 0.5–2.8).Interpretation: The quality of end-of-life communication in ICUs is poor, and factors associated with better prognosis are also associated with worse communication. Direct and early communication should occur with all patients in the ICU and their surrogates, not just those who are believed most likely to die. ER -