The Surprise Question as a Prognostic Tool #360

Background

Clinicians have been encouraged to utilize the surprise question (SQ)—“Would I be surprised if this patient died within 12 months?”—to identify patients at high one-year mortality risk. When clinicians answer “No—I would NOT be surprised if this patient died within 12 months,” the SQ may help clinicians identify patients with unmet palliative care needs who could benefit from advance care planning discussions and/or a palliative care referral. ¹ This Fast Fact reviews the clinical utility of the SQ.

Rationale of the SQ

As difficult as it is for clinicians to prognosticate accurately, multiple studies have shown that patients with incurable disease desire more prognostic information the sicker they get and prognosis is a major factor in preferences for rehospitalizations, life support, and cardiopulmonary resuscitation.^2–4 Although patients and surrogates often want temporal prognostic predictions (the clinician's estimated length of time he or she predicts the patient will live), clinicians are more accurate and willing to offer probabilistic predictions (the clinician's estimate, often in a percentage, of the chance of death in a set time frame, such as one year).^4–6 The SQ was designed as a clinical tool that generalist clinicians would utilize willingly and routinely to identify patients at risk of death in a year and thereby lead to more appropriate advance care planning, goals of care discussions, symptom management, and hospice referrals.

Effectiveness of the SQ

Although variations on the SQ have been described in the published literature, including “Would I be surprised if this patient died this hospitalization?” or “Would I be surprised if this patient died in 3 months?” the SQ most commonly referred is “Would I be surprised if this patient died within 12 months?” This SQ has been studied in diverse populations, including a general inpatient setting, ⁷ high-risk primary care clinic, ⁸ pediatric patients, ⁹ advanced kidney disease,^10–12 cancer,^13,14 acute surgical patients, ¹⁵ emergency department settings,^1,16 and nursing home settings. ¹⁷ In general, the SQ has performed modestly well in identifying patients with a prognosis of less than one year across these various patient populations.^18,19 Notable findings from these studies include:

A meta-analysis of the SQ among 26 studies across these patient populations found that it had a pooled accuracy of 75%, a sensitivity of 67%, and specificity of 80%. ¹⁸

Implementing the SQ Into Clinical Practice

The SQ can be helpful in identifying patients at risk of medical decline and death in a certain time frame when used as part of a larger prognostic assessment. ¹⁹ Yet, considering the relatively high false positive rate of a “No” answer, it is not established if the SQ is a cost-effective tool nor an effective way to trigger a palliative care consultation on its own. A consensus panel of experts suggested that a “No” answer triggers generalist clinicians to perform a primary palliative care assessment or screening for unmet palliative care needs. ²⁰ Sentinel medical events such as hospitalization, decline in performance status, or disease progression are reasonable triggers to implement the SQ into clinical practice. Note templates, medical rounding tools, and electric medical record prompts are potential system-based approaches to accomplish this. Reasonable components of the primary palliative care assessment triggered by a “No” include ²⁰ :

Assessment for distressing physical, psychological, social, or spiritual concerns.