Identification of Hospitalized Patients Who May Benefit from a Serious Illness Conversation Using the Readmission Risk Score Combined with the Surprise Question
Myrna Katalina Serna MD, MPH (is Assistant Professor and Physician Research Scientist, Division of General Medicine, University of Texas Medical Branch, Galveston, Texas.), Katrina Grace Sadang MD, MPH (is Resident, Department of Family Medicine, LifeLong Medical Care, Richmond, California.), Hanna B. Vollbrecht MD (is Fellow, Section of Pulmonary and Critical Care, University of Chicago Medicine.), Catherine Yoon MS (is Senior Statistical Programmer/Analyst, Hospital Medicine Unit, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston.), Julie Fiskio (is Senior Programmer/Analyst, Hospital Medicine Unit, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital.), Joshua R. Lakin MD (is Attending Physician, Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, and Assistant Professor of Medicine, Harvard Medical School.), Anuj K. Dalal MD (is Internist, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, and Associate Professor of Medicine, Harvard Medical School.), Jeffrey L. Schnipper MD, MPH (is Research Director, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, and Professor of Medicine, Harvard Medical School. Please address correspondence to Myrna Katalina Serna)
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Abstract
Background
Determining which patients benefit from a serious illness conversation (SIC) is challenging. The authors sought to determine whether Epic's Risk of Readmission Score (RRS), could be combined with a simple, validated, one-question mortality prognostic screen (the surprise question: Would you be surprised if the patient died in the next 12 months?) to identify hospitalized patients with SIC needs.
Methods
In this retrospective study, the authors randomly selected encounters for patients ≥ 18 years of age to a general medicine service from January 2019 to October 2021 who had an RRS > 28%. Two adjudicators independently performed chart reviews for each encounter to answer the surprise question to create two distinct prognostic groups (yes vs. no). Fisher's exact test was used to assess for statistically significant differences in standardized documentation of SICs between groups.
Results
Out of 2,879 encounters, 202 patient encounters were randomly selected. Adjudicators answered “no” to the surprise question for 156 (77.2%) patients. Patients for whom adjudicators answered “no” were generally older with higher comorbidity and more often had standardized documentation of a SIC (14 [9.0%] vs. 0.[0.0%], p = 0.042) compared to patients for whom adjudicators answered “yes.”
Conclusion
Approximately three quarters of patients with a high RRS were predicted to have a lifespan of less than a year. Although these patients were significantly more likely to have a SIC, rates of SICs were extremely low. Combining available electronic health record (EHR) data with a simple one-question screening tool may help identify hospitalized patients who require a SIC in quality improvement initiatives.