Screening for Lifetime History of Traumatic Brain Injury Among Older American and Irish Adults at Risk for Dementia: Development and Validation of a Web-Based Survey
Restricted accessResearch articleFirst published online March 24, 2020
Screening for Lifetime History of Traumatic Brain Injury Among Older American and Irish Adults at Risk for Dementia: Development and Validation of a Web-Based Survey
Traumatic brain injury (TBI) is an established risk factor for dementia but mechanisms are uncertain. Accurate TBI exposure classification is critical for cognitive aging research studies seeking to discover mechanisms and treatments of post-TBI dementia. Brief TBI screens, commonly used in epidemiological studies of cognitive aging, are insensitive, leading to exposure mis-classification. Comprehensive TBI interviews, while more sensitive, may be impractical.
Objective:
We aimed to develop and validate a scalable, self-administered, comprehensive, web-based, TBI exposure survey for use in international cognitive aging research.
Methods:
We adapted a gold-standard comprehensive TBI interview (the Ohio State University TBI Identification Method; OSU TBI-ID) into a self-administered web-based survey for older adults (Older Adult modification of the OSU TBI-ID; OA OSU TBI-ID). We assessed reliability of our web-based survey versus the gold-standard interview among 97 older adults with normal cognition and mild cognitive impairment (MCI). In addition, we assessed sensitivity of the National Alzheimer’s Coordinating Center Uniform Data Set (NACC UDS) brief TBI screen versus the interview among 70 older adults with normal cognition.
Results:
Our OA OSU TBI-ID web-based survey had good to excellent reliability versus the interview (κ 0.66–0.73; ICCs 0.68–0.81) even among the sub-set with MCI (κ 0.74–0.88; ICCs 0.76–0.85), except for several age-at-injury variables. The NACC UDS brief TBI screen missed 50% of TBI exposures identified using the OSU TBI-ID interview.
Conclusion:
The OSU TBI-ID interview and web-based survey may facilitate more accurate TBI exposure classification in cognitive aging research thereby accelerating discovery of targetable mechanisms of post-TBI dementia.
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