Title |
Proactive expert system intervention to prevent or quit at-risk alcohol use (PRINT): study protocol of a randomized controlled trial
|
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Published in |
BMC Public Health, July 2018
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DOI | 10.1186/s12889-018-5774-1 |
Pubmed ID | |
Authors |
Sophie Baumann, Andreas Staudt, Jennis Freyer-Adam, Ulrich John |
Abstract |
The population impact of alcohol screening and brief intervention might be increased by approaching an entire population rather than individuals at high risk only. The aim is to present the protocol of the study "Testing a proactive expert system intervention to prevent and to quit at-risk alcohol use" (PRINT) which tests the efficacy of a computer-based brief intervention (i) to elicit drinking reductions among persons with at-risk alcohol use and (ii) to prevent at-risk alcohol use among current low-risk drinkers. The PRINT study is a two-arm randomized controlled trial with a 12-month follow-up. A total of 1648 participants will be proactively recruited in the waiting area of a municipal registry office. All 18- to 64-year-old persons with past year alcohol use will be randomized to either the intervention group or the control group. Participants in the intervention group will receive computer-generated individualized feedback letters at baseline, month 3, and month 6. Participants in the control group will receive assessment only. The primary outcome is the change in the number of drinks per day from baseline to month 12. We expect to provide a computer-based brief alcohol intervention that is appropriate for a wide range of people with alcohol use regardless of their initial alcohol-risk level. The intervention might have the potential to decrease alcohol use and alcohol-related problems on a population level at low costs. German Clinical Trials Register: DRKS00014274 (date of registration: 2018/03/12). |
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Unknown | 39 | 100% |
Demographic breakdown
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Lecturer | 4 | 10% |
Student > Bachelor | 4 | 10% |
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Student > Doctoral Student | 3 | 8% |
Other | 10 | 26% |
Unknown | 9 | 23% |
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Unknown | 12 | 31% |