The "Surprise Question" Asked of Emergency Physicians May Predict 12-Month Mortality among Older Emergency Department Patients

J Palliat Med. 2018 Feb;21(2):236-240. doi: 10.1089/jpm.2017.0192. Epub 2017 Aug 28.

Abstract

Background: Identification of older adults with serious illness (life expectancy less than one year) who may benefit from serious illness conversations or other palliative care interventions in the emergency department (ED) is difficult.

Objectives: To assess the performance of the "surprise question (SQ)" asked of emergency physicians to predict 12-month mortality.

Design: We asked attending emergency physician "Would you be surprised whether this patient died in the next 12 months?" regarding patients ≥65 years old that they had cared for that shift. We prospectively obtained death records from Massachusetts Department of Health Vital Records.

Setting: An urban, university-affiliated ED.

Measurement: Twelve-month mortality.

Results: We approached 38 physicians to answer the SQ, and 86% participated. The mean age of our cohort was 76 years, 51% were male, and 45% had at least one serious illness. Out of 207 patients, the physicians stated that they "would not be surprised" if the patient died in the next 12 months for 102 of the patients (49%); 44 of the 207 patients (21%) died within 12 months. The SQ demonstrated sensitivity of 77%, specificity of 56%, positive predictive value of 32%, and negative predictive value of 90%. When combined with other predictors, the model sorted the patient who lived from the patient who died correctly 72% of the time (c-statistic = 0.72).

Conclusion: Use of the SQ by emergency physicians may predict 12-month mortality in older ED patients and may help emergency physicians identify older adults in need of palliative care interventions.

Keywords: emergency department; mortality; surprise question.

MeSH terms

  • Aged
  • Attitude of Health Personnel*
  • Critical Illness / mortality*
  • Emergency Medical Services / statistics & numerical data*
  • Female
  • Hospital Mortality*
  • Hospitals, University
  • Hospitals, Urban
  • Humans
  • Male
  • Massachusetts
  • Palliative Care / psychology*
  • Palliative Care / statistics & numerical data*
  • Physicians / psychology*
  • Prospective Studies