Rating of pre-injury symptoms over time in patients with mild traumatic brain injury: the good-old-days bias revisited

ABSTRACT

Objective

Post-concussion syndrome (PCS) occurs following mild traumatic brain injury (mTBI). Patients with mTBI are often assessed using self-report instruments that rely on perception of current symptoms compared to how they felt and functioned pre-injury. The objective was to examine reliability of patients’ post-injury reporting of their pre-injury symptoms.

Methods

We included two control groups (trauma patients without brain injury history and healthy controls) who were recruited at an outpatient surgical clinic and among the working and social environment of the researchers, respectively. The Head Injury Symptom Checklist (HISC) was used to assess pre-injury and current symptoms at four time points post injury. We included 836 patients with mTBIs, 191 trauma patients without brain injury history, and 100 healthy controls.

Results

Patients with mTBI reported significantly more pre-injury symptoms than both control groups (p < .001). Forty-five percent of patients with mTBI were inconsistent in their pre-injury ratings across four assessments. Patients with post-injury PCS reported much greater pre-injury symptoms and were more often inconsistent.

Conclusion

Accurately assessing PCS by comparing pre with post-injury complaints is difficult, and may have implications for diagnosis when using self-report instruments. Therefore, post-injury PCS diagnosis should be interpreted with caution and PCS should ideally be examined using clinical examination.

KEYWORDS:

• Traumatic brain injury
• post-concussion symptom
• post-concussion syndrome
• good-old-days bias

Declaration of interest

Grant Iverson, PhD. serves as a scientific advisor for BioDirection, Inc., Sway Operations, LLC, and Highmark, Inc. He has received research funding from several test publishing companies, including ImPACT Applications, Inc., CNS Vital Signs, and Psychological Assessment Resources (PAR, Inc.). He acknowledges unrestricted philanthropic support from ImPACT Applications, Inc., the Heinz Family Foundation, the Mooney-Reed Charitable Foundation and the Spaulding Research Institute. All other authors have declared that no competing interests exist.