Evidence Based Best Care Practice for Benign Paroxysmal Positional Vertigo
NCT ID: NCT02809599
Last Updated: 2019-04-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
7635 participants
INTERVENTIONAL
2016-10-13
2018-04-16
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Implementation of Evidence-Based Practice for Dizziness
NCT05634902
Treatment of Posterior Canal Type of Benign Paroxysmal Positional Vertigo
NCT01822002
Treatments for Benign Paroxysmal Positional Vertigo (BPPV)
NCT00000359
Vestibulopathy, Imbalance, and Gait Disturbances in Parkinson Disease
NCT05446194
BPPV Treatment in Biaxial Rotational Chair
NCT01905800
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
The problem is that BPPV processes are substantially underutilized.
This study looks to increase the use of BPPV processes within a community ED setting by implementing a theory-based educational intervention. The unit of randomization and target of intervention is the hospital. After an initial observation period, the six community hospitals will undergo the intervention in five waves (the smallest two hospitals will be paired). The order will be randomized. This is a partnered research project with local physicians engaging in best practice implementation.
Sample Size
The trial will start with an initial no intervention period of approximately 4 months followed by randomized staggered intervention with a new hospital entering approximately every 2 months, finalized by approximately 4 post-intervention months will result in the approximately balanced number of 867 visits occurring without intervention and 933 visits occurring under (post) intervention. This calculation assumes the average anticipated total patient visit rate of 100 patients per month. Based on our pilot studies and the literature we expect the DHT or CRM procedure to be done in 5% patients before the intervention. With the expected number of visits calculated above, we will be able to detect the increased DHT or CRM rate of 9% and above with 90% power by a two-sided test at the significance level of 5%. We expect a much bigger difference of 5% vs. 20% pre- vs. post-intervention DHT/CRM rates, respectively. Under this expected difference, we will have the power exceeding 99%. In fact, an order of magnitude smaller visit rate of 10.4 patients per month would be sufficient for 90% power under the anticipated difference. The reserves of power will be used to provide more power to fine-tune the multivariate mixed regression models and associated secondary analyses.
Data Analyses
The intervention is delivered to hospitals. Intervention is a binary variable with two levels, pre-intervention (no intervention), post-intervention (under intervention).
The primary analysis will use binary logistic regression and will include covariates for hospital, month (to handle secular trends), and intervention (see below). For a set of new patient visits, the binary random variable DHT/CRM/referral yes/no will serve as the primary response. Patient visits will be supplied with patient-, hospital- and provider-level covariates as well as the calendar time variable modeling the secular trend, and the intervention yes/no variable measuring whether the visit occurs under intervention or not. To take hospital- and provider-specific unmeasured features into account, hospital and provider categorical variables will be included in the analysis. Due to the fact that the number of hospitals and providers is much smaller than the number of patient visits, adjusting for hospital and provider effects by way of categorical variables will not lead to bias. Secondary analyses will explore alternative approaches using random effects (Gaussian) models. A two-sided model-based test for the intervention variable will be used to test the primary hypothesis at the significance level of 5%.
The secondary analysis (safety) will numerically summarize the 90-day stroke rate - cumulatively and stratified for stroke diagnosed on the index dizziness visits and for post index visit strokes (delayed diagnosis) in patients seen at EDs with and without the intervention. This is anticipated to be very rare. The intervention does not target improving stroke diagnosis. However, evaluating both the index visit stroke diagnosis rate and the delayed diagnosis rate should allow for determination of major changes. We anticipate the index visit stroke diagnosis rate to be approximately 2% and the delayed diagnosis rate approximately to be 1%.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
CROSSOVER
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Pre-intervention
Patients in hospitals that have not received the intervention (DIZZTINCT) and that meet eligibility criteria will have their medical charts abstracted to assess BPPV processes at the ED Index visit. A random sample of these patients will be contacted by phone for a brief phone interview regarding their recent visit to the Emergency Department for dizziness.
No interventions assigned to this group
Post-intervention
Patients in hospitals that have received the intervention (DIZZTINCT) and that meet eligibility criteria will have their medical charts abstracted to assess the main study outcome, behavior change in medical providers. A random sample of these patients will be contacted by phone for a brief phone interview regarding their recent visit to the Emergency Department for dizziness.
DIZZTINCT
The intervention, DIZZTINCT, is a multi-faceted educational and care-process based intervention designed to improve the guideline-concordant care of patients with BPPV in the emergency department. The intervention includes six main components: the recruitment and training of local champions who will serve as colleague experts in the community; interactive hands-on educational sessions that address BPPV mechanisms, evidence and practice; a high-yield decision-aid web application for self study and point of care use; development of a referral network for follow up care; follow-up educational sessions to review successes and barriers amongst the intervention group; and other resources developed locally in partnership with the community medical providers.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
DIZZTINCT
The intervention, DIZZTINCT, is a multi-faceted educational and care-process based intervention designed to improve the guideline-concordant care of patients with BPPV in the emergency department. The intervention includes six main components: the recruitment and training of local champions who will serve as colleague experts in the community; interactive hands-on educational sessions that address BPPV mechanisms, evidence and practice; a high-yield decision-aid web application for self study and point of care use; development of a referral network for follow up care; follow-up educational sessions to review successes and barriers amongst the intervention group; and other resources developed locally in partnership with the community medical providers.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Principal dizziness case: the triage reason for visit is a dizziness symptom OR a dizziness symptom is one of first three listed complaints in physician medical record OR a dizziness diagnosis (e.g., dizziness or vertigo NOS, BPPV, vestibular neuritis) is recorded as one of the first three final ED diagnoses.
Exclusion Criteria
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
National Institute on Deafness and Other Communication Disorders (NIDCD)
NIH
University of Michigan
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
William J Meurer
Assistant Professor
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Kevin A Kerber, MD
Role: PRINCIPAL_INVESTIGATOR
University of Michigan
William Meurer, MD
Role: PRINCIPAL_INVESTIGATOR
University of Michigan
References
Explore related publications, articles, or registry entries linked to this study.
Kerber KA, Damschroder L, McLaughlin T, Brown DL, Burke JF, Telian SA, Tsodikov A, Fagerlin A, An LC, Morgenstern LB, Forman J, Vijan S, Rowell B, Meurer WJ. Implementation of Evidence-Based Practice for Benign Paroxysmal Positional Vertigo in the Emergency Department: A Stepped-Wedge Randomized Trial. Ann Emerg Med. 2020 Apr;75(4):459-470. doi: 10.1016/j.annemergmed.2019.09.017. Epub 2019 Dec 20.
Meurer WJ, Beck KE, Rowell B, Brown D, Tsodikov A, Fagerlin A, Telian SA, Damschroder L, An LC, Morgenstern LB, Ujhely M, Loudermilk L, Vijan S, Kerber KA. Implementation of evidence-based practice for benign paroxysmal positional vertigo: DIZZTINCT- A study protocol for an exploratory stepped-wedge randomized trial. Trials. 2018 Dec 22;19(1):697. doi: 10.1186/s13063-018-3099-0.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
HUM00109306
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.