Annually, over 300,000 US patients survive an acute critical illness but fail to recover sufficiently to permit ventilator liberation, a syndrome knownas prolonged mechanical ventilation (PMV). PMV is associated with high mortality, prolonged disability, and extraordinary resource utilization. Because these patients are incapacitated due to illness, their surrogates must make life support decisions on their behalf. However, the quality of the decision making process is seriously deficient and may lead to decisions that are inconsistent with a patient's preferences, prolonged life support that is extraordinarily costly an ineffective, and psychological distress among patients'surrogate decision makers. To address these problems, we developed a decision aid for PMV surrogate decision makers that promotes shared decision making between surrogate decision makers and clinicians. In a recent pilot study, we found that compared to usual care control, the decision aid improved surrogate-clinician concordance for prognosis, the quality of communication, and the likelihood that clinicians and surrogates engaged in life support discussions. It also improved surrogates'decisional conflict and trust in clinicians. To confirm and extend our promising results, we now propose a multicenter randomized controlled trial (RCT) to test the efficacy of the PMV decision aid vs. usual care control in improving: (1) decision making quality, defined as clinician-surrogate concordance for prognosis, quality of communication, and medical comprehension;(2) surrogates'psychological distress;and (3) patients'health care utilization.
We aim to enroll 600 surrogate decision makers for PMV patients, as well as patients'ICU physicians and nurses, from five diverse centers that make up an existing PMV research network. We will use generalized linear models to test for differences in outcomes between decision aid and usual care control groups over a 6-month follow up period. The proposed study addresses key research needs in decision making highlighted by the NIH and the Institute of Medicine, and also meets a call for innovation in decision aids specified by the 2010 Affordable Care Act. Innovative aspects of this pragmatic intervention include: (a) its use of web-based tablet computer technology to address surrogates'informational needs;(b) its function as a family meeting adjunct to promote individualized shared decision making, (c) the targeting of communication-associated risk factors for psychological distress, (d) its potential for inexpensive dissemination and adaptation to broader populations, (f) its ability to accommodate updates in component clinical risk estimates, and (g) the inclusion of an economic evaluation of effect. Overall, this research could have a significant, sustained impact on critical care's future clinica and research approach.

Public Health Relevance

The process of making a decision about whether or not to provide prolonged life support is seriously deficient among clinicians and the surrogate decision makers for critically ill patients. To address this problem, we propose a randomized, controlled trial to determine if an innovative web-based decision aid compared to usual care control can improve the quality of decision making, reduce surrogates'psychological distress, and reduce patients'health care costs. This study-based on strong preliminary work-has the potential both to improve how clinicians and surrogates interact in intensive care units and to increase the likelihood that life support decisions are aligned with patients'values.

National Institute of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)
Research Project (R01)
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Special Emphasis Panel (ZRG1-NRCS-G (08))
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Harabin, Andrea L
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Duke University
Internal Medicine/Medicine
Schools of Medicine
United States
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Austin, Charles A; Choudhury, Summer; Lincoln, Taylor et al. (2018) Rapid Response Events in Hospitalized Patients: Patient Symptoms and Clinician Communication. J Pain Symptom Manage 55:946-952
Cox, Christopher E; Jones, Derek M; Reagan, Wen et al. (2018) Palliative Care Planner: A Pilot Study to Evaluate Acceptability and Usability of an Electronic Health Records System-integrated, Needs-targeted App Platform. Ann Am Thorac Soc 15:59-68
Wysham, Nicholas G; Hua, May; Hough, Catherine L et al. (2017) Improving ICU-Based Palliative Care Delivery: A Multicenter, Multidisciplinary Survey of Critical Care Clinician Attitudes and Beliefs. Crit Care Med 45:e372-e378
Cox, Christopher E; Jensen, Hanne I (2017) The unmet need of information access for family members of ICU patients. Intensive Care Med 43:240-242
Wysham, Nicholas G; Hochman, Michael J; Wolf, Steven P et al. (2016) Performance of Consultative Palliative Care Model in Achieving Quality Metrics in the ICU. J Pain Symptom Manage 52:873-877
Nadig, Nandita; Huff, Nidhi G; Cox, Christopher E et al. (2016) Coping as a Multifaceted Construct: Associations With Psychological Outcomes Among Family Members of Mechanical Ventilation Survivors. Crit Care Med 44:1710-7
Cox, Christopher E; Wysham, Nicholas G; Walton, Brenda et al. (2015) Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation. Ann Intensive Care 5:6
Hough, Catherine L; Caldwell, Ellen S; Cox, Christopher E et al. (2015) Development and Validation of a Mortality Prediction Model for Patients Receiving 14 Days of Mechanical Ventilation. Crit Care Med 43:2339-45
Huff, Nidhi G; Nadig, Nandita; Ford, Dee W et al. (2015) Therapeutic Alliance between the Caregivers of Critical Illness Survivors and Intensive Care Unit Clinicians. Ann Am Thorac Soc 12:1646-53
Wysham, Nicholas G; Abernethy, Amy P; Cox, Christopher E (2014) Setting the vision: applied patient-reported outcomes and smart, connected digital healthcare systems to improve patient-centered outcomes prediction in critical illness. Curr Opin Crit Care 20:566-72

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