Alcohol Drinking, Driving Drunk
Conditions
Keywords
Drunk driving, Ridesharing, Alcohol Drinking, Driving under the influence (DUI)
Brief summary
The purpose of this research study is to understand people's alcohol use in public places and their risks for harm. The overall goal of this study is to test the effects of subsidized ridesharing as an intervention to reduce self-reported alcohol-impaired driving, along with alcohol consumption and changes to mobility.
Detailed description
Motor vehicle crashes are the leading cause of death for people aged 13-25 years in the US, and approximately 31% of all fatal crashes involved some alcohol use. Several peer-reviewed studies have found that ridesharing was associated with fewer alcohol-involved crashes and DUI arrests. Theories of behavioral economics provide a clear theoretical mechanism by which ridesharing will reduce alcohol-involved motor vehicle crashes compared to other private transportation. However, while ridesharing may be an effective intervention to reduce alcohol-involved crashes, it may simultaneously increase alcohol consumption. This study will assess the impacts of subsidized ridesharing on impaired driving, alcohol consumption, and mobility. Participants will be randomized to either receive a rideshare voucher or an online shopping voucher, and effects on alcohol impaired driving and alcohol consumption will be measured. A GPS sub-group will use a custom smartphone application for GPS tracking to measure mobility.
Interventions
BEHAVIORALridesharing voucher
Ridesharing vouchers will be given for completing each of the online surveys, for a possible total of $80 if you complete all three surveys. You will be paid with electronic vouchers that will be sent to your cell phone.
BEHAVIORALonline shopping voucher
Online shopping vouchers will be given for completing each of the online surveys, for a possible total of $80 if you complete all three surveys. You will be paid with electronic vouchers that will be sent to your cell phone.
Sponsors
Columbia University
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* ≥ 21 years old * Reside in a study city * Have a driver's license * Have access to a motor vehicle * Have consumed alcohol in a bar in the last 30 days * Own a smartphone * Read English
Exclusion criteria
* Non-English speaking participants
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Number of Participants Involved in Alcohol Impaired Driving Incidents | At 1 week follow-up from baseline | Participants will provide two self-reported measures of impaired driving by indicating whether they "drove after drinking any alcohol" (driving after drinking) and "drove after drinking too much alcohol to drive safely" (driving while intoxicated) for each day during the previous 7 days. Data is recorded at baseline and at 1 week follow-up. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in Number of Days in Alcohol Consumption | Baseline, 1 week follow-up | Participants will be asked to state the number of drinks consumed on each day for the 7 previous days, and their responses will be used to calculate the frequency (defined as the number of drinking days) of drinking. |
| Average Number of Trips to Alcohol Outlets | Day 3 to Day 17 of study | Participants enrolled in the GPS sub-sample will be tracked and GPS records will be used to measure exposure to alcohol outlets and mobility. |
| Average Duration of Trips to Alcohol Outlets | Day 3 to Day 17 of study | Participants enrolled in the GPS sub-sample will be tracked and GPS records will be used measure exposure to alcohol outlets and mobility. |
| Change in The Drinker Inventory of Consequences Score | Baseline, 1 week follow-up | Select questions related to The Drinker Inventory of Consequences (DrInC), a measure of alcohol-related consequences on which higher scores reflect greater alcohol consequences. (Score range: 0-8) |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORChristopher Morrison, PhD
Columbia University
Participant flow
Recruitment details
Participants were recruited via social media advertisements in eligible, randomly selected cities across the United States. While the cities were selected based on shared criteria, the study design is a two-arm, parallel-group randomized controlled trial where the individual is the unit of randomization, and it is not a cluster-randomized trial. To increase the likelihood of balance within cities, we utilized stratified randomization, using the city of residence as the stratification factor.
Pre-assignment details
Participants enrolled but lost to follow-up before the pre-intervention survey were not assigned to a study arm. 5856 out of 7034 were randomized to a study arm.
Baseline characteristics
| Characteristic | — |
|---|---|
| Age, Continuous | 36 years STANDARD_DEVIATION 14 |
| Ethnicity Hispanic or Latino | 385 Participants |
| Ethnicity Not Hispanic or Latino | 2471 Participants |
| Ethnicity Unknown or Not Reported | 62 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 51 Participants |
| Race (NIH/OMB) Asian | 563 Participants |
| Race (NIH/OMB) Black or African American | 519 Participants |
| Race (NIH/OMB) More than one race | 131 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 18 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 124 Participants |
| Race (NIH/OMB) White | 4163 Participants |
| Sex/Gender, Customized Sex/Gender Female | 1982 Participants |
| Sex/Gender, Customized Sex/Gender Male | 899 Participants |
| Sex/Gender, Customized Sex/Gender Other | 29 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 2,921 | 0 / 2,935 |
| other Total, other adverse events | 0 / 2,921 | 0 / 2,935 |
| serious Total, serious adverse events | 0 / 2,921 | 0 / 2,935 |
Outcome results
None listed