OBJECTIVE: To identify factors associated with granting or refusing intensive care unit (ICU) admission, to analyze ICU characteristics and triage decisions, and to describe mortality in admitted and refused patients. DESIGN: Observational, prospective, multiple-center study. SETTING: Four university hospitals and seven primary-care hospitals in France. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Age, underlying diseases (McCabe score and Knaus class), dependency, hospital mortality, and ICU characteristics were recorded. The crude ICU refusal rate was 23.8% (137/574), with variations from 7.1% to 63.1%. The reasons for refusal were too well to benefit (76/137, 55.4%), too sick to benefit (51/137, 37.2%), unit too busy (9/137, 6.5%), and refusal by the family (1/137). In logistic regression analyses, two patient-related factors were associated with ICU refusal: dependency (odds ratio [OR], 14.20; 95% confidence interval [CI], 5.27-38.25; p < .0001) and metastatic cancer (OR, 5.82; 95% CI, 2.22-15.28). Other risk factors were organizational, namely, full unit (OR, 3.16; 95% CI, 1.88-5.31), center (OR, 3.81; 95% CI, 2.27-6.39), phone admission (OR, 0.23; 95% CI, 0.14-0.40), and daytime admission (OR, 0.52; 95% CI, 0.32-0.84). The Standardized Mortality Ratio was 1.41 (95% CI, 1.19-1.69) for immediately admitted patients, 1.75 (95% CI, 1.60-1.84) for refused patients, and 1.03 (95% CI, 0.28-1.75) for later-admitted patients. CONCLUSIONS: ICU refusal rates varied greatly across ICUs and were dependent on both patient and organizational factors. Efforts to define ethically optimal ICU admission policies might lead to greater homogeneity in refusal rates, although case-mix variations would be expected to leave an irreducible amount of variation across ICUs.
OBJECTIVE: To identify factors associated with granting or refusing intensive care unit (ICU) admission, to analyze ICU characteristics and triage decisions, and to describe mortality in admitted and refused patients. DESIGN: Observational, prospective, multiple-center study. SETTING: Four university hospitals and seven primary-care hospitals in France. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Age, underlying diseases (McCabe score and Knaus class), dependency, hospital mortality, and ICU characteristics were recorded. The crude ICU refusal rate was 23.8% (137/574), with variations from 7.1% to 63.1%. The reasons for refusal were too well to benefit (76/137, 55.4%), too sick to benefit (51/137, 37.2%), unit too busy (9/137, 6.5%), and refusal by the family (1/137). In logistic regression analyses, two patient-related factors were associated with ICU refusal: dependency (odds ratio [OR], 14.20; 95% confidence interval [CI], 5.27-38.25; p < .0001) and metastatic cancer (OR, 5.82; 95% CI, 2.22-15.28). Other risk factors were organizational, namely, full unit (OR, 3.16; 95% CI, 1.88-5.31), center (OR, 3.81; 95% CI, 2.27-6.39), phone admission (OR, 0.23; 95% CI, 0.14-0.40), and daytime admission (OR, 0.52; 95% CI, 0.32-0.84). The Standardized Mortality Ratio was 1.41 (95% CI, 1.19-1.69) for immediately admitted patients, 1.75 (95% CI, 1.60-1.84) for refused patients, and 1.03 (95% CI, 0.28-1.75) for later-admitted patients. CONCLUSIONS: ICU refusal rates varied greatly across ICUs and were dependent on both patient and organizational factors. Efforts to define ethically optimal ICU admission policies might lead to greater homogeneity in refusal rates, although case-mix variations would be expected to leave an irreducible amount of variation across ICUs.
Authors: Matthew M Churpek; Blair Wendlandt; Frank J Zadravecz; Richa Adhikari; Christopher Winslow; Dana P Edelson Journal: J Hosp Med Date: 2016-06-28 Impact factor: 2.960