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Comparison of an In-Class vs. Online Alcohol Diversion Program to Reduce Alcohol Consumption and Negative Consequences Among College Students: Findings from a 2-year study David Salafsky, MPH David Salafsky, MPH Carlos Moll, MPH Carlos Moll, MPH Peggy Glider, Ph.D. Peggy Glider, Ph.D. The University of Arizona The University of Arizona

David Salafsky, MPH Carlos Moll, MPH Peggy Glider, Ph.D. The University of Arizona

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Comparison of an In-Class vs. Online Alcohol Diversion Program to Reduce Alcohol Consumption and Negative Consequences Among College Students: Findings from a 2-year study. David Salafsky, MPH Carlos Moll, MPH Peggy Glider, Ph.D. The University of Arizona. Background. - PowerPoint PPT Presentation

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Page 1: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Comparison of an In-Class vs. Online Alcohol Diversion Program to Reduce Alcohol

Consumption and Negative Consequences Among College Students:

Findings from a 2-year study

David Salafsky, MPHDavid Salafsky, MPHCarlos Moll, MPH Carlos Moll, MPH

Peggy Glider, Ph.D.Peggy Glider, Ph.D.

The University of ArizonaThe University of Arizona

Page 2: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Background

Diversion program began with AA-based 1-hour Diversion program began with AA-based 1-hour groups led by students in recoverygroups led by students in recovery

1988 – New staff member did literature review 1988 – New staff member did literature review and identified two models to incorporate: Marlatt and identified two models to incorporate: Marlatt (Skill Building) and Perkins & Berkowitz (Social (Skill Building) and Perkins & Berkowitz (Social Norms). New program (Student Health Alcohol Norms). New program (Student Health Alcohol and Drug Education [SHADE] was increased to and Drug Education [SHADE] was increased to two 1-hour sessions led by graduate studentstwo 1-hour sessions led by graduate students

1995 – Incorporated more of Marlatt’s work 1995 – Incorporated more of Marlatt’s work through a curriculum developed at the University through a curriculum developed at the University of Wisconsin. Moved to two 2-hour sessions of Wisconsin. Moved to two 2-hour sessions taught by professional stafftaught by professional staff

Page 3: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Background

2000 – New staff hired and given the task 2000 – New staff hired and given the task of reviewing literature and updating of reviewing literature and updating program. Incorporated elements of program. Incorporated elements of BASICS, focusing on risk reduction. BASICS, focusing on risk reduction. Moved to three 2-hour sessionsMoved to three 2-hour sessions

Through all changes, no evaluation was Through all changes, no evaluation was conducted due to lack of funding for staff conducted due to lack of funding for staff and incentivesand incentives

Page 4: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Background

2005 – Dean of Students expressed interest 2005 – Dean of Students expressed interest in moving to an online diversion program. in moving to an online diversion program. Before making change, Campus Health Before making change, Campus Health wanted to test efficacy of existing program wanted to test efficacy of existing program against online programmingagainst online programming

June 2005 - Received U.S. Department of June 2005 - Received U.S. Department of Education grant to test these two modalitiesEducation grant to test these two modalities

Page 5: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

In-class Format

6 hour class (3 sessions over 3 weeks)6 hour class (3 sessions over 3 weeks) Average class size = 15 studentsAverage class size = 15 students ParticipatoryParticipatory 5 different instructors5 different instructors Standard lesson plan, with potential for Standard lesson plan, with potential for

variation due to discussion and instructorvariation due to discussion and instructor

Page 6: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

On-line Format

Third Millennium ClassroomsThird Millennium Classrooms ““Under the Influence”Under the Influence” 2-3 hours to complete2-3 hours to complete Conducted individually online anywhereConducted individually online anywhere No potential for content variabilityNo potential for content variability

Page 7: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

In-class Content Standard drinksStandard drinks BAC calculationBAC calculation Alcohol in the bodyAlcohol in the body Physiological effectsPhysiological effects Moderation skills/Protective strategiesModeration skills/Protective strategies Normative feedbackNormative feedback Negative consequencesNegative consequences

Page 8: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Online Content

e-CHUGe-CHUG Levels of alcohol useLevels of alcohol use Alcohol and other drugsAlcohol and other drugs BAC calculationBAC calculation Consequences of misuseConsequences of misuse Tools for changeTools for change

Page 9: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Evaluation Methods

Random assignment Random assignment ConsentConsent Baseline (in-person for both groups)Baseline (in-person for both groups) 3-month online follow-up3-month online follow-up

Page 10: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Survey Instrument

DemographicsDemographics Alcohol consumption measuresAlcohol consumption measures Protective factorsProtective factors Stages of changeStages of change Norms perceptionsNorms perceptions Negative consequencesNegative consequences

Page 11: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Sample Diversion referrals from Residence Life & Dean of Diversion referrals from Residence Life & Dean of

StudentsStudents Total diversion referrals: Total diversion referrals:

Online = 537Online = 537

In-class = 504In-class = 504 Total baseline: Total baseline:

Online = 430 (80.1% of baselines)Online = 430 (80.1% of baselines)

In-class = 449 (89.1% of baselines)In-class = 449 (89.1% of baselines) Total matched pairs:Total matched pairs:

Online = 264 (64.7% of baselines)Online = 264 (64.7% of baselines)

In-class = 286 (71.3% of baselines)In-class = 286 (71.3% of baselines)

Page 12: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Demographics

63% Male63% Male Average age = 19Average age = 19 80% Live in residence halls80% Live in residence halls 78% Freshmen78% Freshmen 83% Caucasian83% Caucasian 28% Greek affiliation28% Greek affiliation No significant differences between groupsNo significant differences between groups

Page 13: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Outcomes

Both formats effectiveBoth formats effective Significant reductions in:Significant reductions in:

Usual # drinksUsual # drinks Nights they partyNights they party Perception of peer drinkingPerception of peer drinking Protective behaviorsProtective behaviors Negative consequencesNegative consequences

Page 14: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0.08

0.085

0.09

0.095

0.1

0.105

0.11

0.115

Online In-class

BAC Comparison

Baseline

Post

Modality Comparisons

Page 15: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

  Online In-class

Pre Post p-value

Pre Post p-value

% 1-2 times

52.0 59.4

ns

46.0 66.1

.000% 3-5 times

33.1 31.5 39.6 24.7

% 6 or more

14.9 9.1 14.4 9.1

Frequency of 5 or more drinks

Page 16: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Comparing of Heavy Drinkers

• Defined as usually having > 6 drinks when they party• Approximately half of each group• Programming focuses on harm and risk reduction• Higher risk group

Page 17: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Alcohol Use in Heavy Drinkers

All drinking behaviors improved for both All drinking behaviors improved for both online and in-class groups:online and in-class groups: Drinks per weekDrinks per week Drinks they usually have when they partyDrinks they usually have when they party Drinks last time they drankDrinks last time they drank Drinks per hour last time they drankDrinks per hour last time they drank BAC last time they drankBAC last time they drank

Page 18: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Protective Factors in Heavy Drinkers

0

10

20

30

40

50

Online In-class

% Who stop drinking 1-2 hours before going home

Pre

Post

Significant improvements for the in-class group only

Page 19: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

5

10

15

20

25

30

35

Online In-class

% who alternate with non-alcoholic beverages

Pre

Post

Significant improvements for the in-class group only

Page 20: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

051015202530354045

Online In-class

% who set a limit on the number of drinks they will have

Pre

Post

Significant improvements for the in-class group only

Page 21: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

5

10

15

20

25

Online In-class

% women who pace themselves to 1 or fewer drinks per hour

Pre

Post

* Based on women who usually have 5 or more drinks* Based on women who usually have 5 or more drinks

Significant improvements for the in-class group only

Page 22: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

5

10

15

20

25

Online In-class

% men who pace themselves to 2 or fewer drinks per hour

Pre

Post

Significant improvements for the in-class group only

Page 23: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Negative Consequences in Heavy Drinkers

Significant improvements for the in-class group only

010

203040

506070

80

Online In-class

% who had a headache/hangover past 30 days

Pre

Post

Page 24: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

10

20

30

40

50

60

Online In-class

% who got sick or threw up in the past 30 days

Pre

Post

Significant improvements for the in-class group only

Page 25: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

2

4

6

8

10

12

Online In-class

% who were warned about their alcohol use by a health care provider in the past 30 days

Pre

Post

Significant improvements for the in-class group only

Page 26: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

5

10

15

20

25

30

35

40

Online In-class

% who were late to work or school in the past 30 days

Pre

Post

Significant improvements for both groups

Page 27: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

5

10

15

20

25

30

35

Online In-class

% who missed work or school in the past 30 days

Pre

Post

Significant improvements for both groups

Page 28: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

0

5

10

15

20

25

30

Online In-class

% who got into trouble at work or school in the past 30 days

Pre

Post

Significant improvements for both groups

Page 29: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Limitations

No control over online contentNo control over online content Differences other than modalityDifferences other than modality Multiple in-class instructorsMultiple in-class instructors

Difficulty with follow-upDifficulty with follow-up Relatively short follow-up period (3 months)Relatively short follow-up period (3 months)

Page 30: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Lessons Learned

Both formats were effectiveBoth formats were effective In-class had more impact on:In-class had more impact on:

Frequency of heavy drinking & BACFrequency of heavy drinking & BAC Protective behaviorsProtective behaviors Heavy drinkers as a groupHeavy drinkers as a group

Page 31: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Next Steps

Based on evaluation, online component Based on evaluation, online component (e-CHUG) was added to in-class format(e-CHUG) was added to in-class format

Develop online curriculum based on in-Develop online curriculum based on in-class componentsclass components

Continue evaluation of revised diversion Continue evaluation of revised diversion programmingprogramming

Page 32: David Salafsky, MPH Carlos Moll, MPH  Peggy Glider, Ph.D. The University of Arizona

Contact Information David SalafskyDavid Salafsky [email protected]

Carlos MollCarlos [email protected] ext. 202520-295-9339 ext. 202

Peggy GliderPeggy [email protected]