• Med Decis Making · May 2014

    Multicenter Study

    Advance care planning norms may contribute to hospital variation in end-of-life ICU use: a simulation study.

    • Amber E Barnato, Deepika Mohan, Rondall K Lane, Yue Ming Huang, Derek C Angus, Coreen Farris, and Robert M Arnold.
    • Center for Research on Health Care, University of Pittsburgh, Pittsburgh, PA (AEB, RMA).
    • Med Decis Making. 2014 May 1;34(4):473-84.

    BackgroundThere is wide variation in end-of-life (EOL) intensive care unit (ICU) use among academic medical centers (AMCs). Our objective was to develop hypotheses regarding medical decision-making factors underlying this variation.MethodsThis was a high-fidelity simulation experiment involving a critically and terminally ill elder, followed by a survey and debriefing cognitive interview and evaluated using triangulated quantitative-qualitative comparative analysis. The study was conducted in 2 AMCs in the same state and health care system with disparate EOL ICU use. Subjects were hospital-based physicians responsible for ICU admission decisions. Measurements included treatment plan, prognosis, diagnosis, qualitative case perceptions, and clinical reasoning.ResultsSixty-seven of 111 (60%) eligible physicians agreed to participate; 48 (72%) could be scheduled. There were no significant between-AMC differences in 3-month prognosis or treatment plan, but there were systematic differences in perceptions of the case. Case perceptions at the low-intensity AMC seemed to be influenced by the absence of a do-not-resuscitate order in the context of norms of universal code status discussion and documentation upon admission, whereas case perceptions at the high-intensity AMC seemed to be influenced by the patient's known metastatic gastric cancer in the context of norms of oncologists' avoiding code status discussions.ConclusionsIn this simulation study of 2 AMCs, hospital-based physicians had different perceptions of an identical case. We hypothesize that different advance care planning norms may have influenced their decision-making heuristics.

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