Vagueness in Goals-of-Care Conferences for Critically Ill Patients: Types of Hedge Language Used by Physicians

Abstract

Objectives: Hedge language is a category of language that refers to words or phrases that make statements "fuzzier." We sought to understand how physicians use hedge language during goals-of-care conferences in the ICU.

Design: Secondary analysis of transcripts of audio-recorded goals-of-care conferences in the ICU.

Setting: Thirteen ICUs at six academic and community medical centers in the United States.

Patients: Conferences were between clinicians and surrogates of incapacitated, critically ill adults.

Interventions: Four investigators performed a qualitative content analysis of transcripts using deductive followed by inductive methods to identify types of hedge language used by physicians, then coded all instances of hedge language across 40 transcripts to characterize general patterns in usage.

Measurements and main results: We identified 10 types of hedge language: numeric probabilistic statement ("there's an 80% chance"), qualitative probabilistic statement ("there's a good chance"), nonprobabilistic uncertainty statement ("hard to say for her"), plausibility shield ("we expect"), emotion-based statement ("we're concerned"), attribution shield ("according to Dr. X"), adaptor ("sort of"), metaphor ("the chips are stacking up against her"), time reference ("too soon to tell"), and contingency statement ("if we are lucky"). For most types of hedge language, we identified distinct subtypes. Physicians used hedge language frequently in every transcript (median: 74 hedges per transcript) to address diagnosis, prognosis, and treatment. We observed large variation in how frequently each type and subtype of hedge language was used.

Conclusions: Hedge language is ubiquitous in physician-surrogate communication during goals-of-care conferences in the ICU and can be used to introduce vagueness to statements in ways beyond expressing uncertainty. It is not known how hedge language impacts decision-making or clinician-surrogate interactions. This study prioritizes specific types of hedge language for future research based on their frequency and novelty.