Dizztinct
Published in academic literature
App Summary
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Detailed Description
Functionality & Mechanism Dizztinct is a clinical support tool designed to guide the application of evidence-based maneuvers for Benign Paroxysmal Positional Vertigo (BPPV). The interface delivers step-by-step visual instructions and concise instructional videos for performing the Dix-Hallpike Test for diagnosis and the Epley Maneuver for treatment. The system facilitates the correct and sequential execution of these procedures, serving as a point-of-care reference to ensure adherence to established clinical protocols for managing peripheral vestibular disorders.
Evidence & Research Context
- The app's design and implementation strategy are detailed in a published protocol for the DIZZTINCT stepped-wedge randomized clinical trial.
- This trial was designed to evaluate a multi-faceted intervention, incorporating this tool, aimed at increasing guideline-concordant BPPV care in emergency departments.
- The primary endpoint for the associated research is the rate of clinical documentation for the Dix-Hallpike Test or a Canalith Repositioning Maneuver.
- The underlying diagnostic and therapeutic processes are supported by extensive evidence, including numerous randomized controlled trials and systematic reviews establishing their efficacy.
Intended Use & Scope This tool is intended for clinicians as a point-of-care reference to facilitate the implementation of evidence-based BPPV assessment and treatment protocols. Its primary utility is procedural guidance. The system does not provide a differential diagnosis for dizziness and is not a substitute for comprehensive clinical evaluation and diagnosis by a qualified healthcare provider.
Studies & Publications
Peer-reviewed research associated with this app.
Implementation of evidence-based practice for benign paroxysmal positional vertigo: DIZZTINCT- A study protocol for an exploratory stepped-wedge randomized trial
Meurer et al. (2018) · Trials
Research study planned or in progress; results not yet availableApp Information
Developer
University of MichiganCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Mar 2018
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