Christopher E Cox1, Isaretta L Riley2, Deepshikha C Ashana3, Krista Haines4, Maren K Olsen5, Jessie Gu6, Elias H Pratt7, Mashael Al-Hegelan8, Robert W Harrison9, Colleen Naglee10, Allie Frear11, Hongqiu Yang12, Kimberly S Johnson13, Sharron L Docherty14. 1. Department of Medicine, Division of Pulmonary & Critical Care Medicine and the Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, United States of America. Electronic address: christopher.cox@duke.edu. 2. Department of Medicine, Division of Pulmonary & Critical Care Medicine and the Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, United States of America. Electronic address: isaretta.riley@duke.edu. 3. Department of Medicine, Division of Pulmonary & Critical Care Medicine and the Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, United States of America. Electronic address: deepshikha.ashana@duke.edu. 4. Department of Surgery, Division of Trauma and Critical Care and Acute Care Surgery, Duke University, Durham, North Carolina, United States of America. Electronic address: krista.haines@duke.edu. 5. Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States of America; Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, United States of America. Electronic address: maren.olsen@duke.edu. 6. Department of Medicine, Division of Pulmonary & Critical Care Medicine and the Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, United States of America. Electronic address: jessie.gu@duke.edu. 7. Department of Medicine, Division of Pulmonary & Critical Care Medicine and the Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, United States of America. Electronic address: elias.pratt@duke.edu. 8. Department of Medicine, Division of Pulmonary & Critical Care Medicine and the Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, United States of America. Electronic address: mashael.alhegelan@duke.edu. 9. Department of Medicine, Division of Cardiology, Duke University, Durham, NC, United States of America. Electronic address: robert.w.harrison@duke.edu. 10. Department of Anesthesia, Division of Neurology, Duke University, Durham, NC, United States of America. Electronic address: colleen.naglee@duke.edu. 11. Department of Medicine, Division of Pulmonary & Critical Care Medicine and the Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, United States of America. Electronic address: allie.frear@duke.edu. 12. Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States of America; Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, United States of America. Electronic address: honqiu.yang@duke.edu. 13. Department of Medicine, Division of Geriatrics, Center for the Study of Aging and Human Development, Duke University, Durham, NC, United States of America; Durham Veterans Affairs Geriatrics Research Education and Clinical Center (GRECC), United States of America. Electronic address: kimberly.s.johnson@duke.edu. 14. School of Nursing, Duke University, Durham, NC, United States of America. Electronic address: sharron.docherty@duke.edu.
Abstract
INTRODUCTION: The technologies used to treat the millions who receive care in intensive care unit (ICUs) each year have steadily advanced. However, the quality of ICU-based communication has remained suboptimal, particularly concerning for Black patients and their family members. Therefore we developed a mobile app intervention for ICU clinicians and family members called ICUconnect that assists with delivering need-based care. OBJECTIVE: To describe the methods and early experiences of a clustered randomized clinical trial (RCT) being conducted to compare ICUconnect vs. usual care. METHODS AND ANALYSIS: The goal of this two-arm, parallel group clustered RCT is to determine the clinical impact of the ICUconnect intervention in improving outcomes overall and for each racial subgroup on reducing racial disparities in core palliative care outcomes over a 3-month follow up period. ICU attending physicians are randomized to either ICUconnect or usual care, with outcomes obtained from family members of ICU patients. The primary outcome is change in unmet palliative care needs measured by the NEST instrument between baseline and 3 days post-randomization. Secondary outcomes include goal concordance of care and interpersonal processes of care at 3 days post-randomization; length of stay; as well as symptoms of depression, anxiety, and post-traumatic stress disorder at 3 months post-randomization. We will use hierarchical linear models to compare outcomes between the ICUconnect and usual care arms within all participants and assess for differential intervention effects in Blacks and Whites by adding a patient-race interaction term. We hypothesize that both compared to usual care as well as among Blacks compared to Whites, ICUconnect will reduce unmet palliative care needs, psychological distress and healthcare resource utilization while improving goal concordance and interpersonal processes of care. In this manuscript, we also describe steps taken to adapt the ICUconnect intervention to the COVID-19 pandemic healthcare setting. ENROLLMENT STATUS: A total of 36 (90%) of 40 ICU physicians have been randomized and 83 (52%) of 160 patient-family dyads have been enrolled to date. Enrollment will continue until the end of 2021.
RCT Entities:
INTRODUCTION: The technologies used to treat the millions who receive care in intensive care unit (ICUs) each year have steadily advanced. However, the quality of ICU-based communication has remained suboptimal, particularly concerning for Black patients and their family members. Therefore we developed a mobile app intervention for ICU clinicians and family members called ICUconnect that assists with delivering need-based care. OBJECTIVE: To describe the methods and early experiences of a clustered randomized clinical trial (RCT) being conducted to compare ICUconnect vs. usual care. METHODS AND ANALYSIS: The goal of this two-arm, parallel group clustered RCT is to determine the clinical impact of the ICUconnect intervention in improving outcomes overall and for each racial subgroup on reducing racial disparities in core palliative care outcomes over a 3-month follow up period. ICU attending physicians are randomized to either ICUconnect or usual care, with outcomes obtained from family members of ICU patients. The primary outcome is change in unmet palliative care needs measured by the NEST instrument between baseline and 3 days post-randomization. Secondary outcomes include goal concordance of care and interpersonal processes of care at 3 days post-randomization; length of stay; as well as symptoms of depression, anxiety, and post-traumatic stress disorder at 3 months post-randomization. We will use hierarchical linear models to compare outcomes between the ICUconnect and usual care arms within all participants and assess for differential intervention effects in Blacks and Whites by adding a patient-race interaction term. We hypothesize that both compared to usual care as well as among Blacks compared to Whites, ICUconnect will reduce unmet palliative care needs, psychological distress and healthcare resource utilization while improving goal concordance and interpersonal processes of care. In this manuscript, we also describe steps taken to adapt the ICUconnect intervention to the COVID-19 pandemic healthcare setting. ENROLLMENT STATUS: A total of 36 (90%) of 40 ICU physicians have been randomized and 83 (52%) of 160 patient-family dyads have been enrolled to date. Enrollment will continue until the end of 2021.
Keywords:
Critical illness; Electronic health record (EHR) systems; Intensive care units; Mobile app; Palliative care; Racial health disparities; Randomized clinical trial (RCT)
Authors: Karen E A Burns; Cheryl Misak; Margaret Herridge; Maureen O Meade; Simon Oczkowski Journal: Am J Respir Crit Care Med Date: 2018-08-01 Impact factor: 21.405
Authors: J Randall Curtis; Patsy D Treece; Elizabeth L Nielsen; Lois Downey; Sarah E Shannon; Theresa Braungardt; Darrell Owens; Kenneth P Steinberg; Ruth A Engelberg Journal: Am J Respir Crit Care Med Date: 2008-05-14 Impact factor: 21.405
Authors: C Stoll; H P Kapfhammer; H B Rothenhäusler; M Haller; J Briegel; M Schmidt; T Krauseneck; K Durst; G Schelling Journal: Intensive Care Med Date: 1999-07 Impact factor: 17.440
Authors: Melissa W Wachterman; Corey Pilver; Dawn Smith; Mary Ersek; Stuart R Lipsitz; Nancy L Keating Journal: JAMA Intern Med Date: 2016-08-01 Impact factor: 21.873
Authors: Thomas W DeCato; Ruth A Engelberg; Lois Downey; Elizabeth L Nielsen; Patsy D Treece; Anthony L Back; Sarah E Shannon; Erin K Kross; J Randall Curtis Journal: Crit Care Med Date: 2013-06 Impact factor: 7.598
Authors: Lisa A Cooper; Debra L Roter; Rachel L Johnson; Daniel E Ford; Donald M Steinwachs; Neil R Powe Journal: Ann Intern Med Date: 2003-12-02 Impact factor: 25.391