Estimating ICU Benefit: A Randomized Study of Physicians

Crit Care Med. 2019 Jan;47(1):62-68. doi: 10.1097/CCM.0000000000003473.

Abstract

Objectives: The distinction between overuse and appropriate use of the ICU hinges on whether a patient would benefit from ICU care. We sought to test 1) whether physicians agree about which types of patients benefit from ICU care and 2) whether estimates of ICU benefit are influenced by factors unrelated to severity of illness.

Design: Randomized study.

Setting: Online vignettes.

Subjects: U.S. critical care physicians.

Interventions: Physicians were provided with eight vignettes of hypothetical patients. Each vignette had a single patient or hospital factor randomized across participants (four factors related and four unrelated to severity of illness).

Measurements and main results: The primary outcome was the estimate of ICU benefit, assessed with a 4-point Likert-type scale. In total, 1,223 of 8,792 physicians volunteered to participate (14% recruitment rate). Physician agreement of ICU benefit was poor (mean intraclass correlation coefficient for each vignette: 0.06; range: 0-0.18). There were no vignettes in which more than two thirds of physicians agreed about the extent to which a patient would benefit from ICU care. Increasing severity of illness resulted in greater estimated benefit of ICU care. Among factors unrelated to severity of illness, physicians felt ICU care was more beneficial when told one ICU bed was available than if ICU bed availability was unmentioned. Physicians felt ICU care was less beneficial when family was present than when family presence was unmentioned. The patient's age, but not race/ethnicity, also impacted estimates of ICU benefit.

Conclusions: Estimates of ICU benefit are widely dissimilar and influenced by factors unrelated to severity of illness, potentially resulting in inconsistent allocation of ICU care.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Attitude of Health Personnel*
  • Clinical Decision-Making*
  • Critical Care
  • Female
  • Humans
  • Intensive Care Units*
  • Male
  • Middle Aged
  • Patient Admission*
  • Practice Patterns, Physicians'*
  • Random Allocation
  • Severity of Illness Index
  • United States