- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03335735
Smartphone-paired Breathalyzers and Loss- and Gain-framed Texts for Reducing Drinking and Driving (BESAFE)
August 6, 2018 updated by: University of Pennsylvania
Pilot Trial Leveraging Smartphone-paired Breathalyzers and Loss- and Gain-framed Text Notifications for Reducing Drinking Driving
This project aims to demonstrate the feasibility of a scalable behavioral intervention using smartphone-paired breathalyzers and text message aimed at reducing drinking and driving among individuals who report heavy drinking.
All participants receive a smartphone breathalyzer to provide feedback on their estimated blood alcohol level.
The intervention compares loss- and gain-framed messages that make the consequences of drinking and driving more salient to standard messages not to drink and drive.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
The overall objective of this project is to leverage smartphone-paired breathalyzers to implement cost-effective and scalable behavioral interventions to reduce risky drinking behaviors such as drinking and driving.
Prospect theory proposes that messages framed in different ways can elicit different responses from individuals.
Loss aversion refers to people's tendency to prefer avoiding losses to acquiring equivalent gains: it's better to not lose $5 than to find $5.
People are more motivated to avoid losing something than they are to win something.
Studies have found that delivering messaging framed as a loss are also effective in motivating certain behaviors.
On the other hand, gain-framed messages have been shown to have a positive effect on preventative healthcare.
By using automated remote monitoring, innovative loss aversion and gain-framed messaging strategies incorporating insights from behavioral economics could be more easily implemented by delivering effective messaging prior to a risky behavior taking place.
The investigators hope that the use of loss aversive and/or gain-framed messaging will lead to individuals improving planning behavior around drinking, especially in regards to drinking and driving.
The objective of this project is to demonstrate the feasibility of a scalable intervention using loss- gain-framed messaging to reduce drinking and driving, compare the effectiveness of each type of messaging, and to increase the use of Blood Alcohol Content (BAC) monitors as a way to plan safer strategies when drinking.
The investigators' long-term objective is to secure federal funding for research that leverages insights from behavioral economics supported by smartphone technology to reduce risky drinking.
Study Type
Interventional
Enrollment (Actual)
58
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
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Pennsylvania
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Philadelphia, Pennsylvania, United States, 19104
- University of Pennsylvania
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-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
21 years to 39 years (ADULT)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Between the ages of 21-39
- Reports an average of one heavy drinking day (men more than five drinks, women more than four drinks) per week over the preceding 8 weeks
- Has a valid photo identification (ID)
- Are willing and able to use an Uber or Lyft or septa as transportation home
- Drives four or more trips per week
- Owns an Apple iPhone or Android smartphone
Exclusion Criteria:
- Desire for alcohol treatment now or have received alcohol treatment within the past 6 months
- Alcohol use disorder rated as severe per DSM-V criteria
- Non-English-speaking
- Women who are pregnant
- Individuals who should not consume alcohol due to a medical condition such as liver disease, cancer, and seizure disorders. Participants will be asked to answer yes if they have any disorder that their doctor has suggested that they should not drink alcohol. If they are unsure or say I don't know the investigators will ask them to speak with their doctor prior to participation.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: PREVENTION
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
No Intervention: Control
Participants in this arm will not receive any intervention.
|
|
Experimental: Loss-Framed Text Messages
Loss-framed text message
|
Participants in the intervention group will receive loss-framed text messages related to drinking and driving on days during the week with a higher likelihood of alcohol consumption (Thursday-Saturday).
Loss aversion refers to people's tendency to prefer avoiding losses to acquiring equivalent gains: it's better to not lose $5 than to find $5, so the content of the messages will be related to loss of personal freedom, loss of money, and loss of future employment opportunities due to Driving Under the Influence (DUI) convictions.
|
Experimental: Gain-Framed Messaging Group
Gain-framed text message
|
Participants in the intervention group will receive gain-framed text messages related to drinking and driving on days during the week with a higher likelihood of alcohol consumption (Thursday-Saturday).
Gain-framed messages have been shown to have a positive effect on preventative healthcare and include content framed in a manner that the participant gains something from taking preventative action.
Message content will be related to saving lives, gaining control, and making loved ones happy.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
The primary outcome measure will be the change in proportion of breathalyzer measurements submitted with self-reported drinking episodes across groups.
Time Frame: baseline up to 8 weeks
|
baseline up to 8 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in frequency of BACtrack monitoring within intervention group from baseline
Time Frame: baseline up to 8 weeks
|
baseline up to 8 weeks
|
|
Drinking and driving episodes in which their BAC via self-report or BAC measure is expected to be positive
Time Frame: baseline up to 8 weeks
|
To be assessed using a driving monitoring app passively running on participants' phones throughout the trial
|
baseline up to 8 weeks
|
Changes in accuracy of BAC guess vs actual BAC measure with continued use (Does a participant become more accurate overtime in predicting what their BAC will be prior to measuring)
Time Frame: baseline up to 8 weeks
|
Participants are able to guess their BAC within the app before collecting the measurement.
We will examine the changes in the accuracy of their guesses over time
|
baseline up to 8 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Kit Delgado, MD, MS, University of Pennsylvania
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Loewenstein G, Brennan T, Volpp KG. Asymmetric paternalism to improve health behaviors. JAMA. 2007 Nov 28;298(20):2415-7. doi: 10.1001/jama.298.20.2415. No abstract available.
- MacKillop J, Amlung MT, Few LR, Ray LA, Sweet LH, Munafo MR. Delayed reward discounting and addictive behavior: a meta-analysis. Psychopharmacology (Berl). 2011 Aug;216(3):305-21. doi: 10.1007/s00213-011-2229-0. Epub 2011 Mar 4.
- Sobell LC, Brown J, Leo GI, Sobell MB. The reliability of the Alcohol Timeline Followback when administered by telephone and by computer. Drug Alcohol Depend. 1996 Sep;42(1):49-54. doi: 10.1016/0376-8716(96)01263-x.
- Patel MS, Asch DA, Rosin R, Small DS, Bellamy SL, Heuer J, Sproat S, Hyson C, Haff N, Lee SM, Wesby L, Hoffer K, Shuttleworth D, Taylor DH, Hilbert V, Zhu J, Yang L, Wang X, Volpp KG. Framing Financial Incentives to Increase Physical Activity Among Overweight and Obese Adults: A Randomized, Controlled Trial. Ann Intern Med. 2016 Mar 15;164(6):385-94. doi: 10.7326/M15-1635. Epub 2016 Feb 16.
- White A, Hingson R. The burden of alcohol use: excessive alcohol consumption and related consequences among college students. Alcohol Res. 2013;35(2):201-18.
- Sloan FA, Eldred LM, Xu Y. The behavioral economics of drunk driving. J Health Econ. 2014 May;35:64-81. doi: 10.1016/j.jhealeco.2014.01.005. Epub 2014 Feb 11.
- Naimi TS, Brewer RD, Mokdad A, Denny C, Serdula MK, Marks JS. Binge drinking among US adults. JAMA. 2003 Jan 1;289(1):70-5. doi: 10.1001/jama.289.1.70.
- Matjasko JL, Cawley JH, Baker-Goering MM, Yokum DV. Applying Behavioral Economics to Public Health Policy: Illustrative Examples and Promising Directions. Am J Prev Med. 2016 May;50(5 Suppl 1):S13-S19. doi: 10.1016/j.amepre.2016.02.007.
- Schneider TR, Salovey P, Apanovitch AM, Pizarro J, McCarthy D, Zullo J, Rothman AJ. The effects of message framing and ethnic targeting on mammography use among low-income women. Health Psychol. 2001 Jul;20(4):256-66. doi: 10.1037//0278-6133.20.4.256.
- Toll BA, O'Malley SS, Katulak NA, Wu R, Dubin JA, Latimer A, Meandzija B, George TP, Jatlow P, Cooney JL, Salovey P. Comparing gain- and loss-framed messages for smoking cessation with sustained-release bupropion: a randomized controlled trial. Psychol Addict Behav. 2007 Dec;21(4):534-44. doi: 10.1037/0893-164X.21.4.534.
- List JA, Samek AS. The behavioralist as nutritionist: leveraging behavioral economics to improve child food choice and consumption. J Health Econ. 2015 Jan;39:135-46. doi: 10.1016/j.jhealeco.2014.11.002. Epub 2014 Nov 21.
- Petry NM, Martin B, Cooney JL, Kranzler HR. Give them prizes, and they will come: contingency management for treatment of alcohol dependence. J Consult Clin Psychol. 2000 Apr;68(2):250-7. doi: 10.1037//0022-006x.68.2.250.
- Patel MS, Asch DA, Volpp KG. Wearable devices as facilitators, not drivers, of health behavior change. JAMA. 2015 Feb 3;313(5):459-60. doi: 10.1001/jama.2014.14781. No abstract available.
- Case MA, Burwick HA, Volpp KG, Patel MS. Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA. 2015 Feb 10;313(6):625-6. doi: 10.1001/jama.2014.17841. No abstract available.
- South EC, Kondo MC, Cheney RA, Branas CC. Neighborhood blight, stress, and health: a walking trial of urban greening and ambulatory heart rate. Am J Public Health. 2015 May;105(5):909-13. doi: 10.2105/AJPH.2014.302526. Epub 2015 Mar 19.
- Byrnes HF, Miller BA, Wiebe DJ, Morrison CN, Remer LG, Wiehe SE. Tracking Adolescents With Global Positioning System-Enabled Cell Phones to Study Contextual Exposures and Alcohol and Marijuana Use: A Pilot Study. J Adolesc Health. 2015 Aug;57(2):245-7. doi: 10.1016/j.jadohealth.2015.04.013.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 21, 2017
Primary Completion (Actual)
April 9, 2018
Study Completion (Actual)
June 30, 2018
Study Registration Dates
First Submitted
October 5, 2017
First Submitted That Met QC Criteria
November 3, 2017
First Posted (Actual)
November 8, 2017
Study Record Updates
Last Update Posted (Actual)
August 8, 2018
Last Update Submitted That Met QC Criteria
August 6, 2018
Last Verified
August 1, 2018
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 827345
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
There is no plan to make individual participant data (IPD) available to other researchers.
In fact, there will be an NIH Certificate of Confidentiality protecting participants' data.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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