| Health Factors: | Alcohol Use |
|---|---|
| Decision Makers: | ![]() Government - Local, Government - State |
| Evidence Rating: | |
| Population Reach: | 1-9% of WI's population |
| Impact on Disparities: |
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According to RAND-Imm (2007), such restrictions place limits or bans on events that promote binge drinking, such as happy hours, ladies' nights, all-you-can-drink specials, and unlimited beverages at a fixed price for a fixed period of time
Reduced binge drinking
RAND-Imm 2007 considers restricting drink specials an evidence-based strategy, as research has demonstrated that alcohol consumption, intoxication, and drinking/driving increase as the price of alcohol decreases--especially among minors. NIAAA-College drinking 2002 considers restricting drink specials a strategy with promise, but recommends incorporating a strong evaluation component to test effectiveness.
Many states use a variety of policies to restrict “happy hours.” Such policies include total prohibition of "happy hours," prohibition of free beverages, increases in servings or volume of serving during a certain time period, and prizes.
Wisconsin has enacted none of the laws that other states use to limit “happy hours.”
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Health Behaviors |
Clinical Care |
Social & Economic Factors |
Physical Environment |
Level of effectiveness based on a scan of academic literature and key recommendations of leading organizations.
Although many policies and programs are recommended by credible groups, we apply the rating ‘expert opinion’ only when policies are recommended but limited scientific evidence of effectiveness is available.
* The American Heritage Dictionary defines credible as 'capable of being believed; plausible.' and 'worthy of confidence; reliable.' To be considered an 'expert recommendation,' policies and programs must be recommended by one or more organizations that are recognized for their impartial expertise in the area of interest and have limited evidence available.
Portion of Wisconsin's population likely to be reached by a policy or program if implemented statewide, based on its characteristics (e.g., target population(s), geographic limitations, and potential implementers).
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<1% | ![]() |
20-49% | |
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1-9% | ![]() |
50-99% | |
![]() |
10-19% | ![]() |
100% |
Portion of Wisconsin's population likely to be reached by a policy or program if implemented statewide, based on its characteristics (e.g., target population(s), geographic limitations, and potential implementers).
![]() |
<1% | ![]() |
20-49% | |
![]() |
1-9% | ![]() |
50-99% | |
![]() |
10-19% | ![]() |
100% |
Likely impact of a given policy or program on racial/ethnic, socioeconomic, geographic or other disparities in Wisconsin based on its characteristics (e.g., target audience, mode of delivery, etc.) and best available evidence related to disparities.