Diagnostic accuracy and usability of the EMBalance decision support system for vestibular disorders in primary care: proof of concept randomised controlled study results

Abstract

BackgroundDizziness and imbalance are common symptoms that are often inadequately diagnosed or managed, due to a lack of dedicated specialists. Decision Support Systems (DSS) may support first-line physicians to diagnose and manage these patients based on personalised data.AimTo examine the diagnostic accuracy and application of the EMBalance DSS for diagnosis and management of common vestibular disorders in primary care.MethodsPatients with persistent dizziness were recruited from primary care in Germany, Greece, Belgium and the UK and randomised to primary care clinicians assessing the patients with (+ DSS) versus assessment without (− DSS) the EMBalance DSS. Subsequently, specialists in neuro-otology/audiovestibular medicine performed clinical evaluation of each patient in a blinded way to provide the “gold standard” against which the + DSS, − DSS and the DSS as a standalone tool (i.e. without the final decision made by the clinician) were validated.ResultsOne hundred ninety-four participants (age range 25–85, mean = 57.7, SD = 16.7 years) were assigned to the + DSS (N = 100) and to the − DSS group (N = 94). The diagnosis suggested by the + DSS primary care physician agreed with the expert diagnosis in 54%, compared to 41.5% of cases in the − DSS group (odds ratio 1.35). Similar positive trends were observed for management and further referral in the + DSS vs. the − DSS group. The standalone DSS had better diagnostic and management accuracy than the + DSS group.ConclusionThere were trends for improved vestibular diagnosis and management when using the EMBalance DSS. The tool requires further development to improve its diagnostic accuracy, but holds promise for timely and effective diagnosis and management of dizzy patients in primary care.Trial registration numberNCT02704819 (clinicaltrials.gov).