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Published on: September 11, 2021
Derivation of embedded symptom validity indicators for the Brief Symptom Inventory-18.
Jeremy J Davis1, Scott R Millis2
1Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Researchers developed new symptom validity scales (SVTs) embedded in the Brief Symptom Inventory-18 (BSI-18) to assess psychological sequelae after traumatic brain injury (TBI). These novel BSI-V and BSI GSI scales show high accuracy in identifying questionable validity in TBI patients.
Area of Science:
- Neuropsychology
- Psychometrics
- Traumatic Brain Injury (TBI) research
Background:
- Symptom validity assessment is crucial for evaluating psychological effects following traumatic brain injury (TBI).
- Many existing personality inventories include embedded symptom validity scales (SVTs).
- Research is exploring the development of SVTs within brief symptom and self-report measures.
Purpose of the Study:
- To develop and evaluate embedded symptom validity indicators using the Brief Symptom Inventory-18 (BSI-18).
- To identify specific BSI-18 items predictive of questionable validity (QV) in TBI patients.
Main Methods:
- Secondary analysis of TRACK-TBI data from 1,694 participants (1,515 TBI, 179 orthopedic injury).
- Development of two novel SVTs: BSI-V (using Bayesian model averaging) and BSI GSI (Global Severity Index cutoff).
- Receiver operating characteristic (ROC) analysis to compare the classification accuracy of BSI-V and BSI GSI against independent SVTs.
Main Results:
- Four BSI-18 items were identified as optimal predictors of questionable validity (QV).
- Both BSI-V and BSI GSI demonstrated excellent classification accuracy, with an area under the ROC curve (AUC) of 0.95.
- Established cutoffs for BSI-V (≥5) and BSI GSI (≥64 T) achieved 83% sensitivity and 90% specificity.
Conclusions:
- Preliminary evidence supports the utility of novel embedded SVTs (BSI-V and BSI GSI) within the BSI-18.
- Both developed SVTs show comparable and strong performance in identifying questionable validity.
- Further independent cross-validation is recommended to confirm classification accuracy and refine cutoffs for clinical practice.
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