ArticlePsychosomatic medicine2023
Challenges and Solutions for Monitoring Alcohol Use in Patients With Alcohol-Related Liver Disease: Pilot Study of a Wearable Alcohol Biosensor.
Article in Psychosomatic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03533660 (Alcohol Biosensor Monitoring for Alcoholic Liver Disease), which is not on this map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Alcohol Biosensor Monitoring for Alcoholic Liver Disease
Who cites it
2 citing papers in PubMed, 9 citations in OpenAlex.
- Acceptability and feasibility of a new-generation alcohol biosensor: A mixed methods evaluation in a large community sample.Experimental and clinical psychopharmacology · 2026Article
- Current approaches using remote monitoring technology in alcohol use disorder (AUD): an integrative review.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesEarly alcohol use identification can prevent morbidity/mortality for alcohol-associated liver disease (ALD). Innovative wearable alcohol biosensors (biosensors) that identify alcohol use through perspiration are an emerging technology with potential application for patients with ALD. Our primary aim was to determine biosensor acceptability and feasibility for patients with ALD. We describe participant acceptance and challenges using biosensor technology in a pilot study of biosensors with patients with ALD.
designParticipants had a recent diagnosis or hospitalization for decompensated ALD, had to be drinking within the past 3 months, and had to be followed at our center. Participants wore the biosensor daily for 3 months. Quantitative data using the Technology Acceptance Model 2 (TAM2) measure were collected at intake and study conclusion. The TAM2's 13 items cover four scales: perceived usefulness, ease of use, attitude toward technology, and intention to use on a 7-point Likert scale. Lower scores indicate higher acceptance. Participants were asked open-ended questions about issues wearing the biosensor.
resultsAmong 27 participants, 60% were women with an average age of 45 (10) years, and 89% were White. TAM2 subscales indicated initially high acceptance (mean scores = 1.2-2.2) and remained high (mean scores = 1.3-2.3) without a statistically significant decline at study conclusion. From open-ended questions, several themes regarding problems with device wear emerged a) uncomfortable or cumbersome to wear, b) problems with biosensor appearance, and c) issues with usability. Challenges to biosensor usage included data being lost when devices were damaged and devices being lost during the study.
conclusionsAlcohol biosensors seem to be acceptable to ALD participants. However, improving the appearance, comfort, durability, and functionality of biosensor devices is critical to clinical deployment.Trial Registration:Clinicaltrials.gov identifier NCT03533660: Alcohol biosensor monitoring for alcohol liver disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.