Post on 07-Jan-2016
description
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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41 42 43 44 45 46 47 48 49 50
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