
Alcohol Use Feedback: A Drinker's Check-up Your Client Can Finish in Five Minutes
A client tells you they drink "about like everyone else." They say it easily, and they believe it. You have a feeling it isn't true, but saying so turns the conversation into an argument about whose impression is right, and you lose the client's curiosity the moment you win it.
This is the moment the Drinker's Check-up was designed for. The personalized feedback step in Motivational Enhancement Therapy doesn't argue. It puts the client's own numbers next to everyone else's and lets the client look. Most therapists learned it in training. Few have ever had an easy way to run it, because building the comparison by hand means finding population tables, matching the client's gender and age, and doing the arithmetic between sessions.
Theracharts does that part. It's called Alcohol Use Feedback, and we built it on published national survey data.
What the client answers
Nine questions, about five minutes, completed on the client's phone or computer:
- gender and age group;
- standard drinks in a typical week (the question defines a standard drink: 12 oz beer, 5 oz wine, 1.5 oz spirits);
- how many days a week they drink;
- how many drinks on a typical drinking day;
- how often they have five or more drinks at once;
- the most drinks on one occasion in the past 30 days;
- how concerned they are about their drinking, from 1 to 10;
- how ready they are to make a change, from 1 to 10.
Every question asks about behavior: what the client drinks, how often, and how much at once. The last two are a readiness ruler, and they're there for you, not for the score. A client at the 90th percentile who rates their concern a 2 is a different conversation from one who rates it an 8.
What comes back
When the client finishes, they see where their weekly drinking falls among US adults of the same gender, adjusted for age group. For example, a woman aged 26 to 35 who has about ten drinks a week sees that she drinks more than roughly 89% of women her age in the US.
You see the same comparison, plus:
- the unadjusted percentile, so you can see what the age adjustment did;
- whether the pattern crosses NIAAA's heavy-drinking definition (more than 7 drinks a week or 4 or more in a day for women, more than 14 a week or 5 or more in a day for men), its binge-drinking definition, or both;
- a flag when the client's heaviest single occasion in the past month crossed the binge line.
Clients who choose non-binary or prefer not to say are compared against all US adults rather than a gender group. The tool doesn't guess.
Where the comparison comes from
The percentiles come from the Alcohol Research Group's drinking norms for US adults, built on the 2020 National Alcohol Survey of 9,668 people. The table runs from abstainers to 70 or more drinks a week, separately for men and women. The age adjustment uses age-by-sex drinking volumes from the National Alcohol Surveys, 1979–2020.
It's worth knowing what those norms actually look like, because they surprise people, therapists included. In the 2020 survey, half of US men had one drink a week or fewer, and so did 65% of women. Seven drinks a week, a glass of wine with dinner, already put a woman above 87% of other women. When a client says they drink like everyone else, they usually mean everyone they drink with.
The feedback is the intervention
The point of normative feedback isn't the number. It's what happens in the room after the client sees it.
Done well, it sounds like this: "Here's where your week falls compared with other women your age. What do you make of that?" Then you wait. The client gets to draw the conclusion, which is the whole difference between this and a lecture. Some clients are startled. Some say they expected it. Some push back on the survey, and that's fine too, because now they're talking about their drinking instead of defending it.
And sometimes the comparison sides with the client. A person who has been worried that two drinks on a Saturday make them a problem drinker can see where that actually falls. That's a useful finding as well. A tool that only ever confirms the therapist's suspicion isn't one a client will trust twice.
A few things keep it in the spirit of motivational interviewing:
- It's information, not a verdict. The percentile describes a pattern, not a person. Nothing in the comparison names a diagnosis.
- The client sees it first. The result is on the client's screen when they finish, so the session starts from something they already know, not something you're revealing.
- The readiness ruler travels with it. Concern and readiness scores tell you how to open the conversation: elicit concern when it's low, and move toward planning when it's high.
Running it again
Because the questions are about behavior, the check-up can be repeated. A client who cut from fourteen drinks a week to six can see their percentile move, measured against the same national survey, in their own numbers. That's a different kind of progress from "I feel like I'm doing better," and it's often the more motivating one.
Theracharts works alongside your EHR, not instead of it. Alcohol Use Feedback sits with the rest of the client's measures, and the result is there when you prepare for the next session.
How to use it
Alcohol Use Feedback is in the Theracharts assessment library under Substance Use. Assign it to a client the way you'd assign any measure, and it arrives with the rest of their check-ins. See the full assessment library or create a free account to try it with a demo client.
References
- Alcohol Research Group. Alcohol Consumption Norms for U.S. Adults (2020 National Alcohol Survey, N = 9,668). Greenfield TK, Martinez P; analysis by Ye Y. arg.org
- Kerr WC, Lui CK, Ye Y, Li L, Greenfield T, Karriker-Jaffe KJ, Martinez P. Long-term trends in beverage-specific drinking in the National Alcohol Surveys: Differences by sex, age, and race and ethnicity. Alcohol: Clinical and Experimental Research. 2024;48(7):1322–1335. doi:10.1111/acer.15335
- National Institute on Alcohol Abuse and Alcoholism. Understanding Alcohol Drinking Patterns. Updated January 2026. niaaa.nih.gov