CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 96 enrolled
Drug / intervention
Soberlinkdevice
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT04380116
NCT04380116N/ACompleted

Preliminary Effectiveness of Remotely Monitored Blood Alcohol Concentration Device as Treatment Modality

Yale University·interventional·Posted May 8, 2020·Updated May 26, 2023

In Brief

A clinical study evaluating Soberlink for Alcohol Use Disorder. Completed, enrolled 96 participants across 1 site.

Detailed Summary

State the scientific aim(s) of the study, or the hypotheses to be tested. The purpose of the current study is to evaluate the usage and acceptability of the Soberlink's blood alcohol concentration (BAC) unit in collaboration with Aware treatment to assess increased sobriety within patients suffering from alcohol use disorder (AUD). The specific AIMS will be: 1. To determine the effectiveness of Soberlink's ability to increase abstinence 2. To evaluate the impact of Soberlink's device on the participant based on their quality of health and sobriety. 3. To evaluate the extent to which need for higher levels of follow-up care and treatment is reduced for individuals who have had access to the Soberlink device.

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
CountriesUnited States
Collaborators--

Timeline

N/ACompletedFinished
202120222023202420252026
First PostedMay 8, 2020
Enrollment StartJun 29, 2020
Primary CompletionMay 1, 2022
TodayJul 2, 2026
Enrollment to primary: 1.8 yearsPosted 6.1 years ago

Interventions

Soberlinkdevice

Soberlink is a comprehensive alcohol monitoring system designed to remotely monitor a person's Blood Alcohol Concentration (BAC). Combining a professional grade handheld breathalyzer with wireless connectivity, the technology includes real-time facial recognition, robust tamper detection and real-time alerting.