Importance
Vestibular patients are often complex, require additional clinic visit time, and utilize greater clinical resources for diagnosis. A pre-encounter intake questionnaire may predict the most common disorders allowing for more efficient allocation of resources and use of providers.
Objective
To develop a statistical model for predicting vestibular diagnoses, prior to clinical evaluation, from an intake questionnaire.
Design, Setting and Participants
Retrospective review of 414 new vestibular patient intake questionnaires and medical records with performance of logistic regression analyses and development of predictive models.
Intervention
Use of a vestibular intake questionnaire for triaging of new patients with complaints of dizziness.
Main Outcome Measures
Predictors for the diagnosis of BPPV, Meniere disease, and vestibular migraine.
Results
Ear-related disorders accounted for 48% of all diagnoses while neurologic conditions accounted for 37% of diagnoses. Three disorders – benign paroxysmal positional vertigo (BPPV), Meniere disease and vestibular migraine – comprised 69% of all diagnoses. The diagnosis of BPPV could be predicted from four variables with a sensitivity of 79% and specificity of 65%. The diagnosis of Meniere disease could be predicted from five variables with a sensitivity of 81% and specificity of 85%. The diagnosis of vestibular migraine could be predicted from four variables with a sensitivity of 76% and specificity of 59%.
Conclusions
A pre-encounter history questionnaire can provide useful diagnostic information for common vestibular disorders. This can help direct appointment scheduling to improve clinical efficiency, time to intervention, and use of resources. Further refinement may enable shorter questionnaires or screening algorithms.