ArticleHeliyon2020
Facilitators and barriers to a contingency management alcohol intervention involving a transdermal alcohol sensor.
Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Use of Wearable Transdermal Alcohol Sensors for Monitoring Alcohol Consumption After Detoxification With Contingency Management: Pilot Randomized Feasibility Trial.JMIR human factors · 2025Trial
- Feasibility of a telehealth-based contingency management intervention for alcohol use disorders using the phosphatidylethanol (PEth) 16:0/18:1 alcohol biomarker: a pilot randomized trial.The American journal of drug and alcohol abuse · 2024Trial
- Use of Transdermal Alcohol Sensors in Conjunction With Contingency Management to Reduce Alcohol Consumption in People With Alcohol Dependence Attending Alcohol Treatment Services: Protocol for a Pilot Feasibility Randomized Controlled Trial.JMIR research protocols · 2024Article
- A qualitative exploration of the experiences of transdermal alcohol sensor devices amongst people in receipt of treatment for alcohol use disorder.Addictive behaviors reports · 2024Article
- Transdermal alcohol concentration features predict alcohol-induced blackouts in college students.Alcohol, clinical & experimental research · 2024Article
- Experimentally Induced Reductions in Alcohol Consumption and Brain, Cognitive, and Clinical Outcomes in Older Persons With and Those Without HIV Infection (30-Day Challenge Study): Protocol for a Nonrandomized Clinical Trial.JMIR research protocols · 2024Article
- Contingency management with stepped care for unhealthy alcohol use among individuals with HIV: Protocol for a randomized controlled trial.Contemporary clinical trials · 2023Article
- Skin-Interfaced Wearable Sweat Sensors for Precision Medicine.Chemical reviews · 2023Review
- Identifying Desired Features That Would Be Acceptable and Helpful in a Wrist-Worn Biosensor-Based Alcohol Intervention: Interview Study Among Adults Who Drink Heavily.Journal of medical Internet research · 2023Article
- Correspondence between alcohol use measured by a wrist-worn alcohol biosensor and self-report via ecological momentary assessment over a 2-week period.Alcohol, clinical & experimental research · 2023Article
- Service-level barriers to and facilitators of accessibility to treatment for problematic alcohol use: a scoping review.Frontiers in public health · 2023Article
- Acceptability and Feasibility of Wearable Transdermal Alcohol Sensors: Systematic Review.JMIR human factors · 2022Review
- The Role of Alcohol-Related Behavioral Research in the Design of HIV Secondary Prevention Interventions in the Era of Antiretroviral Therapy: Targeted Research Priorities Moving Forward.AIDS and behavior · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Research on contingency management is limited due to feasibility issues with monitoring adherence. Incentives usually depend on objective measures to verify compliance; therefore, biological markers for identifying alcohol use are not as dependable for the use of financial contingency studies. The Secure Continuous Remote Alcohol Monitor (SCRAM) is an objective alcohol biosensor that can be locked onto a person's ankle to address these limitations. In preparation for a large, contingency management study for HIV-positive and HIV-negative persons with heavy drinking, the aims for the study were to (1) explore barriers and facilitators to participating in a contingency management intervention using the SCRAM ankle monitor as the potential alcohol measure for the intervention; (2) explore levels of appropriate compensation for using the SCRAM and for study assessments as part of a contingency management intervention study; and (3) attitudes and beliefs on lifestyle changes as a consequence of wearing the SCRAM among HIV-positive and HIV-negative heavy drinkers in Florida. Five focus groups were conducted and we collected qualitative data from thirty-seven individuals (18 men; 19 women). During the analysis, six themes were identified as barriers and facilitators for participation in a contingency management intervention using the SCRAM sensor to measure alcohol use: (1) health assessment, (2) monetary incentives including payment structure and levels of compensation, (3) stigma associated with wearing the SCRAM sensor, (4) aesthetics and other related concerns with wearing the SCRAM sensor, (5) motivation to stop drinking, and (6) social support. Stigma was a major barrier for wearing the SCRAM sensor; however, if participants were motivated to change their behavior then the monetary incentives became a facilitator to wearing the sensor. In addition to the financial contingency method, social support may further increase the odds for participants to change their behaviors.
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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.