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Prognosticating Outcomes and Nudging Decisions with Electronic Records in the Intensive Care Unit Trial Protocol.
Courtright, Katherine R; Dress, Erich M; Singh, Jaspal; Bayes, Brian A; Chowdhury, Marzana; Small, Dylan S; Hetherington, Timothy; Plickert, Lindsay; Detsky, Michael E; Doctor, Jason N; Harhay, Michael O; Burke, Henry L; Green, Michael B; Huynh, Toan; Sullivan, D Matthew; Halpern, Scott D.
Affiliation
  • Courtright KR; Palliative and Advanced Illness Research Center, and.
  • Dress EM; Department of Medicine, Perelman School of Medicine.
  • Singh J; Palliative and Advanced Illness Research Center, and.
  • Bayes BA; Critical Care Network and.
  • Chowdhury M; Palliative and Advanced Illness Research Center, and.
  • Small DS; Palliative and Advanced Illness Research Center, and.
  • Hetherington T; Department of Statistics, The Wharton School, and.
  • Plickert L; Center for Outcomes Research & Evaluation.
  • Detsky ME; Information and Analytics Services, and.
  • Doctor JN; Department of Medicine, Mount Sinai Health System, Toronto, Ontario, Canada; and.
  • Harhay MO; Department of Health Policy and Management, Sol Price School of Public Policy, University of Southern California, Los Angeles, California.
  • Burke HL; Palliative and Advanced Illness Research Center, and.
  • Green MB; Department of Medicine, Perelman School of Medicine.
  • Huynh T; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Sullivan DM; Division of Palliative Care, Adult Acute Division and Department of Medicine.
  • Halpern SD; Critical Care Network and.
Ann Am Thorac Soc ; 18(2): 336-346, 2021 02.
Article in En | MEDLINE | ID: mdl-32936675
ABSTRACT
Expert recommendations to discuss prognosis and offer palliative options for critically ill patients at high risk of death are variably heeded by intensive care unit (ICU) clinicians. How to best promote such communication to avoid potentially unwanted aggressive care is unknown. The PONDER-ICU (Prognosticating Outcomes and Nudging Decisions with Electronic Records in the ICU) study is a 33-month pragmatic, stepped-wedge cluster randomized trial testing the effectiveness of two electronic health record (EHR) interventions designed to increase ICU clinicians' engagement of critically ill patients at high risk of death and their caregivers in discussions about all treatment options, including care focused on comfort. We hypothesize that the quality of care and patient-centered outcomes can be improved by requiring ICU clinicians to document a functional prognostic estimate (intervention A) and/or to provide justification if they have not offered patients the option of comfort-focused care (intervention B). The trial enrolls all adult patients admitted to 17 ICUs in 10 hospitals in North Carolina with a preexisting life-limiting illness and acute respiratory failure requiring continuous mechanical ventilation for at least 48 hours. Eligibility is determined using a validated algorithm in the EHR. The sequence in which hospitals transition from usual care (control), to intervention A or B and then to combined interventions A + B, is randomly assigned. The primary outcome is hospital length of stay. Secondary outcomes include other clinical outcomes, palliative care process measures, and nurse-assessed quality of dying and death.Clinical trial registered with clinicaltrials.gov (NCT03139838).
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Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 Database: MEDLINE Main subject: Critical Illness / Intensive Care Units Type of study: Clinical_trials / Guideline / Prognostic_studies Limits: Adult / Humans Language: En Journal: Ann Am Thorac Soc Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 Database: MEDLINE Main subject: Critical Illness / Intensive Care Units Type of study: Clinical_trials / Guideline / Prognostic_studies Limits: Adult / Humans Language: En Journal: Ann Am Thorac Soc Year: 2021 Document type: Article