The reliability and validity of the brief symptom inventory-18 in persons with traumatic brain injury

Arch Phys Med Rehabil. 2008 May;89(5):958-65. doi: 10.1016/j.apmr.2007.12.028.

Abstract

Objective: To investigate the psychometric properties of the Brief Symptom Inventory-18 (BSI-18) among persons with traumatic brain injury (TBI).

Design: Inception cohort design with cross-sectional follow-up of 6 months to 15 years.

Setting: Rehabilitation hospital.

Participants: Adults (N=257) with moderate to severe TBI (81 inpatients and 176 follow-up participants, analyzed separately).

Interventions: Not applicable.

Main outcome measures: The BSI-18 is a brief screen of psychologic distress with a Global Severity Index (GSI), and 3 clinical subscales: somatization, anxiety, and depression.

Results: Internal consistency of the GSI was high in both follow-up participants (alpha=.91) and inpatients (alpha=.84), whereas estimates for the somatization, anxiety, and depression subscales were more variable (alpha range, .61-.84). As would be expected for a measure of affective state, retest reliability estimates were only moderate. The BSI-18 GSI correlated with multiple measures of psychosocial adjustment. After accounting for demographics, injury severity, inpatient functional status, years since injury, and various psychosocial factors, the BSI-18 showed incremental validity in predicting concurrent functional, psychosocial, and psychologic status.

Conclusions: The BSI-18 GSI had excellent reliability and validity among inpatients and follow-up participants. Modest reliability estimates may place an upper bound on the validity of the BSI-18 clinical subscales in inpatient TBI populations.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Validation Study

MeSH terms

  • Adult
  • Brain Injuries / psychology*
  • Brain Injuries / rehabilitation
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Disability Evaluation
  • Female
  • Humans
  • Injury Severity Score*
  • Male
  • Psychometrics
  • Regression Analysis
  • Reproducibility of Results