Using Late Night BAC Measurements, Clickers, and Curriculum Infusion to Grow

Campaign Credibility

David W. Craig, Ph.D.Professor of Biochemistry

Hobart and William Smith CollegesGeneva, NY

http://alcohol.hws.edu

Two Data Collection Strategies Than Can Breath New Life into Social Norms

Education/Prevention

1. Blood Alcohol Level (BAC) survey by breathalyzer

2. Group feed back using remote response devices (“Clickers”)

Blood Alcohol Level Survey by Breathalyzer

Objectives

• Reinforce information from other surveys()

• Confirm accuracy of self-report by correlating eBAC with measured BAC ()

• Assess population risk • Provide data for health educators• Identify problematic environmental

factors ()

Protocol Issues• To achieve the greatest credibility

– Test at a time when alcohol is consumed– Random locations and subject sampling– Confidential testing sites

• Safety– Anonymous and Blind– Prevent drinking games– Eliminate risk to subjects

• Encourage participation– Anonymous– Who collects the data

• IRB

Implementing BAC surveys on a “shoe-string” budget: Curriculum Infusion• Collecting the data

– Faculty Research– Independent Study Research– First Year Seminar Course

• Disseminating the results– Faculty research seminars– All campus presentations– Student poster presentations– Campus poster displays and electronic media– Health educator presentations– Residence hall programming

Group feed back using remote response devices (“Clickers”)

Objectives

• Provide rapid anonymous data collection in a group setting

• Provide instant feedback of results to identify norm for the group ()

• Assess misperception change in single session ()

Protocol Issues

• Identify target audience– First year orientation program– Class room settings– Residence hall program

• Getting students to participate– Work with residential education– Prizes

• IRB– Informed consent– Anonymity– Under 18

Implementing “Clicker” surveys on a “shoe-string” budget: Curriculum

Infusion

• First year seminar: “Alcohol use in college: What is Myth? What is Reality?”

• Health Educator Presentations to First Year Seminars (Linda Hancock VCU)

Let’s Try it!

The End

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Correlation of measured BAC with estimated BAC (NHTSA method) from self-report drinking behaviors

(N= 1241)

0

0.05

0.1

0.15

0.2

0.25

0 .02 .04 .06 .08 .10 .12 .14 .16 .18

Measured BAC (%)

Est

imat

ed B

AC

(%

)

(922)

(61)

(49)

(57) (61)

(42) (26) (11)

(9)

(3)

(N of estimate / measurement pairs)

Linear regression results for average number of Friday classes per student predicting Thursday night blood alcohol

level risk category* (N=214) controlling for gender and underage/of age differences.

Dependent Variable

Unstandardized Coefficient

Standardized Coefficient

Significance

Avg. Friday Courses per Student

-1.66 -0.162 0.018

Gender 0.292 0.116 0.088

Of age 0.095 0.029 0.667

*BAC risk categories: 0.0%, 0.01—0.05%, 0.06—0.07%, 0.08—0.09%, >=0.10%

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Do you believe that 88% of HWS students have a .05 or lower BAC on school nights when returning

home late at night?

Yes

No

31%

69%1. Yes

2. No

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Now do you believe that 88% of HWS students have a .05 or lower

BAC on school nights when returning home late at night?

Yes

No

15%

85%1. Yes

2. No

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Are you a male or female?

46%

54%

We are going to use clickers to find out about the truth!Let’s see how they work…

A. Male

B. Female

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